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Now that I have done deeper research and went into the topic more , I've learned some contributors to this new generation wanting to pursue STEM jobs , and social media is one of the big factors towards that .

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The role of media in influencing students’ STEM career interest - International Journal of STEM Education

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Background Digital media are pervasive in the lives of young people and provide opportunities for them to learn about STEM. Multiple theories argue that the STEM media environment may shape how youth see a STEM career in their future. Yet, little is known about how pre-college digital media consumption may be related to students’ STEM career interest at the beginning of college. The wide variety of STEM media also raises the question of potentially different effects and pathways by media type. In this study, we collected a nationally representative sample of more than 15,000 students in their first year in U.S. colleges and universities. We asked about their career interests at the beginning of college and also asked them to retrospectively report their STEM media consumption during high school. Results We found that watching STEM-related TV and online videos, as well as playing STEM-related video games during high school, were positively associated with students’ STEM career interests at the beginning of college. However, we also found that STEM media consumption did not impact directly on STEM career interest, but acted through two intermediaries: STEM identity (I and others see me as a STEM person) and three personal career outcome expectations: a high interest in self-development (enhancement and use of talents), and low interests in material status (money, fame, power) and in interpersonal relationships (helping, and working with, other people). Conclusions This study finds that STEM media have a significant effect in fostering STEM career interest, with most of the effect coming from STEM TV, STEM video viewing, and STEM video games. The effect is mediated mainly through students’ identity and, to a lesser extent, through personal values, such as self-development, material, and interpersonal relationship values. This study suggests that media communication should be mindful of how different platforms may deliver nuanced and varied messages of what STEM careers may afford and who can succeed in STEM.

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My topic will be cardiology and how inflammation affects the development of heart disease.

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My topic is how engineers design and build specialized robots that can enter dangerous environments, handle hazardous materials, and perform high‑risk tasks so humans can stay safe while still completing essential work.

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In 2026, robots are a necessity for dangerous jobs. Across industries, machines are stepping into hazardous environments once filled with risk for human workers.

Whether it's navigating toxic mines, handling explosives, or working in extreme heat, automation has dramatically reduced workplace injuries and fatalities.

The International Labor Organization estimates that millions of people are still injured annually due to workplace hazards; however, sectors adopting robotics, ranging from mining to defense, have reported measurable declines in serious accidents.

What counts as a dangerous job for robots?

For robots, a job is dangerous if it involves extreme, unpredictable, or highly variable conditions that risk damaging the robot or if a malfunction could threaten nearby humans. The danger is not defined by the same factors as for humans, as robots are not affected by boredom, repetition, toxic fumes, or intense heat.
These include:

Exposure to toxic substances such as carcinogens, radioactive materials, or volatile chemicals

Extreme heat and fire hazards, like welding or firefighting

Confined or unstable environments, such as collapsed tunnels or unstable buildings

Risk of explosions, common in bomb disposal or mining

Invisible threats, such as pathogens or airborne contaminants, exist in medical and cleanroom settings

Modern robots now integrate advanced sensors, predictive algorithms, and machine learning models to detect risks that humans may overlook. They can analyze air quality for toxic leaks, assess the structural integrity of buildings, or forecast when equipment might fail under pressure.

These abilities are made possible by the fundamentals of how robots work: motion control, perception, and decision-making, which underpin every robotic system. In practice, this means robots no longer just react to hazards; they anticipate and neutralize them before they escalate into full-blown disasters.

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Examples of dangerous jobs robots can do

Robots are proving their value in the places people least want to be: deep underground, in blast zones, and environments filled with heat, chemicals, or pathogens. They're also making the working conditions safer and more consistent.

Icons showing robots performing dangerous jobs like mining, bomb disposal, chemical handling, welding, and disaster response.

1. Mining and underground exploration

Mining is still one of the most dangerous industries in the world. Toxic gases, dust exposure, and cave-ins remain constant threats. Robots are easing those risks. Automated drills and loaders can break rock and move material without putting people close to unstable ground. Driverless trucks haul ore out of tunnels around the clock.

In countries that have adopted these systems, accident rates have fallen and production has become more reliable. Much of this progress comes from advances in mining robots, which are designed to handle the pressure, heat, and unpredictability of underground work far better than humans can.

2. Bomb disposal and military applications

Bomb disposal has always carried extreme risk, and it's where robots first proved their worth in dangerous environments. Police and military units now rely on remotely operated robots to approach, inspect, and neutralize explosives.

Equipped with cameras, sensors, and robotic arms, these machines can dismantle devices or carry them to safe detonation areas without putting a technician's life on the line. The role of robots in defense is expanding beyond bomb disposal. Ground vehicles and drones are being tested for surveillance, logistics, and even limited combat support.

By sending machines into hostile zones first, soldiers and officers stay out of direct danger. These developments show why tools like the police robot have become standard equipment for security forces around the world.

3. Toxic chemical handling and cleanroom work

Industries like pharmaceuticals, semiconductors, and nuclear energy deal with materials that can be harmful even in small doses. Handling carcinogens, corrosive chemicals, or radioactive substances puts workers at constant risk. Robots are now taking on much of this work. They can mix chemicals, move containers, or decontaminate surfaces without exposing humans to danger.

Cleanroom environments are another area where robots excel. In microchip manufacturing or advanced drug production, even a trace of dust or bacteria can ruin a process. Robots perform assembly and packaging tasks with precision while keeping conditions sterile. The rise of cleanroom robots shows how automation not only protects workers but also improves quality and reliability in critical industries.

4. Welding and industrial manufacturing

Welding is essential in construction and manufacturing, but it exposes workers to high heat, sparks, fumes, and heavy machinery. Robots are taking over much of this work, performing welds with steady accuracy and without the health risks that come from long hours in harsh environments. Automated welding stations also reduce the chance of workplace accidents.

Cobots are making the biggest difference on factory floors. Machines like the UR10e can work safely alongside people, handling repetitive or high-precision welding tasks, while operators focus on oversight and quality control. This balance of safety and efficiency is why more manufacturers are adopting robotic welding every year.

5. Disaster response and hazardous environment rescue

Natural disasters and industrial accidents often leave environments too dangerous for human rescuers. Robots are increasingly being used to enter burning buildings, collapsed tunnels, or chemical spill sites where conditions are unstable. Firefighting robots can withstand extreme heat, while snake-like machines crawl through rubble to search for survivors.

Drones also play a growing role in mapping disaster zones and spotting hazards before first responders go in. By sending machines into areas with low oxygen, toxic fumes, or unstable debris, emergency crews gain the information they need to plan safer and more effective rescues.

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Why do robots replace humans in these jobs?

The main reason robots replace humans in these dangerous jobs is simple: safety. Machines can handle risks that would seriously injure or kill a human worker. From toxic fumes to high heat, they absorb the danger, so people don't have to. Many companies are now rethinking robot hazard prevention as part of their workplace safety strategy.

Another factor is reliability. Robots don't get tired, distracted, or make split-second mistakes under pressure. In jobs where a single error could trigger an explosion or collapse, that level of consistency is hard to ignore.

There are practical benefits, too. Robots deliver consistent results in high-risk tasks, no matter how long the job takes. Companies also save money on insurance, injury claims, and compliance costs when fewer workers are exposed to hazards. As a result, the use of robots in the workplace is becoming essential for long-term safety and stability.

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Limitations and risks of robots doing dangerous jobs

Limitations like high costs, technical failures, workforce adaptation, and ethical concerns mean robots doing dangerous jobs isn't a flawless solution. Understanding these limits helps companies plan realistically and balance safety with responsibility.
Here are the main risks that need to be considered:

High costs: Specialized machines require a big upfront investment, plus ongoing maintenance and operator training. For smaller companies, that can be a major barrier.
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Technical failures: If a robot breaks down in the middle of a bomb disposal or inside a hazardous site, the situation can quickly become more complicated. Even advanced AI systems can misjudge conditions or fail to recognize unexpected hazards.
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Human adaptation: Working alongside machines requires new skills and new expectations, and not every workplace makes that transition smoothly. As more companies learn about the realities of working with robots, it's clear that collaboration is as important as replacement.
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Ethical concerns: In areas like policing or military work, many argue that robots should assist but not fully replace human judgment. The debate over where to draw the line is far from settled, and it will shape how these technologies are used in the years ahead.

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Real-life case studies

In fields like mining, defense, healthcare, and even space exploration, automation has reduced accidents, protected workers. Robots have also allowed critical tasks to continue in places that are too risky for people.

Diagram highlighting how robots improve safety in industries like mining, bomb disposal, space exploration, healthcare, nuclear plants, and agriculture.

Here are some examples:

Mining: Fatal accidents have declined in regions where automation has been adopted. Driverless trucks and robotic drills now handle much of the work that once put miners directly in harm's way. These gains reflect a wider shift toward robot workers who can take on the heaviest risks while humans focus on planning and oversight.
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Bomb disposal: Bomb squads around the world have made robots standard equipment. Instead of sending technicians to dismantle explosives by hand, teams rely on machines to inspect and neutralize threats from a safe distance.
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Healthcare: During the pandemic, hospitals deployed UV-disinfection robots to sanitize rooms quickly and consistently, reducing exposure risks for medical staff.
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Agriculture: Autonomous sprayers and drones now handle pesticide application. This reduces human contact with toxic chemicals while also ensuring more precise use, lowering both health risks and environmental impact.
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Space exploration: NASA and other organizations use robotic explorers to carry out missions in extreme radiation and pressure environments, protecting astronauts from exposure while still advancing exploration goals.
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Nuclear plants: Robots are now deployed to inspect reactors and handle radioactive material. Machines can work for long periods in high-radiation zones where human exposure must be tightly limited.

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Summing up: Robots and AI in dangerous jobs

Robots have become essential in hazardous industries, reducing workplace injuries and fatalities. For manufacturers, their value lies in taking over tasks that expose workers to extreme heat, toxic chemicals, or heavy machinery.

For example, welding is handled by robots that deliver precision and consistency while protecting operators from fumes and accidents. Similarly, in pharmaceuticals, semiconductors, and other cleanroom environments, robots manage dangerous processes that improve worker safety and product reliability. Plus, AI-driven machines are being trained to spot early signs of equipment failure, toxic leaks, or unstable ground.

The benefits are clear. Fewer injuries, lower insurance costs, and more reliable production. Robots also bring consistency, operating without fatigue in environments too risky for humans. The rise of service robots further highlights how machines are expanding beyond heavy industry to support high-risk tasks across sectors.

Although challenges like high investment, technical risks, and workforce adaptation remain, robots are now a cornerstone of modern manufacturing, enabling safer operations.

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Next steps with Standard Bots

Looking to upgrade your automation game? Standard Bots' RO1 is the perfect six-axis cobot addition to any robotic setup, delivering unbeatable precision and flexibility.

Affordable and adaptable: RO1 costs $37K (list price). Get high-precision automation at half the cost of traditional robots.

Precision and power: With a repeatability of ±0.025 mm and an 18 kg payload, RO1 handles even the most demanding robotic jobs.

AI-driven simplicity: Equipped with AI capabilities on par with GPT-4, RO1 integrates seamlessly with CNC systems for advanced automation.

Safety-first design: Machine vision and collision detection mean RO1 works safely alongside human operators.

Schedule your on-site demo with our engineers today and see how RO1 can bring AI-powered greatness to your shop floor.

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FAQs

1. Are robots dangerous to humans in the workplace?

No, robots are not dangerous to humans in the workplace. With proper safety features and training, robots mostly reduce risks instead of adding new ones. European researchers found that when companies add more robots, workplace accidents actually go down.

For every 10% increase in robot use, fatal accidents drop and injuries fall by nearly 2%. The safety boost is especially dramatic in tech companies and countries that already prioritize worker safety.

2. What dangerous jobs can robots never fully replace humans in?

Robots can never fully replace humans in jobs that demand judgment, empathy, or improvisation, such as crisis negotiations, advanced medical care, or leading teams during emergencies. Human intuition and ethical decision-making remain essential in these situations.

In fact, scientists at ETH Zurich found that although robots might be stronger or faster at individual tasks, humans are still "far superior" when jobs require quick thinking, creative solutions, or adapting on the fly.

3. How much does it cost to deploy a robot for hazardous tasks?

The cost to deploy a robot for hazardous tasks can range from $25,000 for simpler models to over $1 million for advanced machines with sensors, robotic arms, and rugged designs built for extreme environments. The good news is that robots are getting cheaper, e.g., you can now get a professional bomb disposal robot for around $31,000.

4. Are there regulations governing the use of robots in bomb disposal or firefighting?

Yes, there are OSHA safety regulations even without specific robot laws governing the use of robots in bomb disposal or firefighting. General safety standards and oversight guidelines apply to ensure responsible use. These typically include adherence to occupational safety protocols, equipment certification requirements, and compliance with local or national emergency response frameworks.

5. Do robots create new jobs when they replace humans in dangerous roles?

Yes, robots do create new jobs when they replace humans in dangerous roles, as they eliminate certain tasks but generate demand for roles in robot development, maintenance, operation, and related support fields. Automation might eliminate 75 million jobs, but it's expected to create 133 million new jobs. Robots also open opportunities for workers in training, maintenance, oversight, and systems integration that didn't exist before.

6. How accurate are robots compared to humans during high-altitude inspections?

Robots are significantly more accurate than humans in high-altitude inspections. Advanced inspection robots can measure angles within 2 arc seconds and distances within 5 mm, which is incredibly precise. Plus, they maintain this laser-sharp accuracy even in extreme weather conditions that would make human inspectors struggle or become unsafe.

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Robots doing dangerous jobs in 2026: Where humans step back - Standard Bots

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Robots are stepping into dangerous jobs that humans once risked their lives to do. From mining to cleanroom tasks, here’s how automation works in 2026.

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My topic is about what ways does inflation affect consumer spending among U.S. households.

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Ceyda Oner is a deputy division chief in the IMF’s Finance Department.

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Inflation measures how much more expensive a set of goods and services has become over a certain period, usually a year

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I will be researching Enrollment in technical colleges and trade certifications and how this generation doesn't always have a guaranteed shot at a job due to the economy's change in the last 30 years or so.

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The $100,000 Question: Are Trade Skills Worth More Than College?

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75% of Americans say college no longer pays off. See why trade skills are redefining success, stability, and ROI for the next generation.

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Digital logic uses binary values (0 and 1) and logic gates to control how electronic devices process information.

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The untold story of digital logic & the world’s first useful computer: From relays to the Z3

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Who first realized how binary arithmetic works? Or that it could be implemented electrically?

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Digital logic uses binary values (0 and 1) and logic gates to control how electronic devices process information.

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Understanding Digital Logic ICs — Part 1

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Modern digital logic ICs are widely available in three basic types. Here are the basics.

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Engineering Job Growth Trends in the U.S.

I’m researching how engineering careers are expected to grow over the next decade to see whether jobs in these fields will increase or decrease.

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Aerospace engineering and operations technologists and technicians run and maintain equipment used to develop, test, produce, and sustain aircraft and spacecraft.

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How climate change is affecting global agriculture and food security

Climate change is reducing agricultural productivity and reshaping the global food system by lowering crop yields, increasing costs for farmers and consumers, and contributing to rising food prices as weather patterns become more extreme.

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What does climate change mean for agriculture? Less food and more emissions.

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New research sheds light on how rising temperatures are squeezing farmers and raising prices for consumers.

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I am completing my summative project on the future of the trades and automation/AI integration.

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Industrial operations are changing fast. Across Europe and around the world, manufacturers, energy companies, logistics hubs, and large industrial facilities are adopting automation on a massive scale. Robotics, machine learning, predictive maintenance tools, and smart monitoring systems are no longer experimental-they're becoming essential parts of how modern plants run.

But even as automation grows, one truth remains unchanged: technology still depends on people. No matter how advanced a system is, it only performs as well as the skilled workers who install it, maintain it, troubleshoot it, and continually improve it. The plants that will ultimately win in this new era are the ones that treat technology and human expertise as partners, not substitutes.

Automation Is Rising-But Skilled Trades Remain Irreplaceable

Today's industrial environments look very different from those of a decade ago. Plants are using autonomous vehicles to move materials, robots to handle precision tasks, and digital tools to predict failures before they happen. These innovations cut downtime, boost quality, and make operations more efficient.

Yet all of these systems still rely heavily on skilled tradespeople.

Electricians are needed to install and configure new automation. Millwrights and mechanics keep equipment aligned and running smoothly. Welders and fabricators play a critical role in plant upgrades and new installations. Technicians use digital diagnostics and software tools to keep operations stable.

What many companies are discovering, however, is that finding workers who can handle both traditional mechanical work and modern digital technology is increasingly difficult. That's why some facilities turn to specialized partners who understand industrial requirements. For example, organizations offering industrial construction trades staffing assistance can help plants secure experienced trades professionals during expansions, shutdowns, automation upgrades, and maintenance projects-especially when internal teams are stretched thin.

This balance of technology and human skill is becoming the foundation of modern industrial productivity.

The New Industrial Workforce: Tech-Enabled and Hands-On

Automation isn't eliminating skilled trades-it's reshaping them.

Today's industrial workforce needs to understand more than tools and machinery. They must also work confidently with sensors, software interfaces, data dashboards, and robotics. As a result, new hybrid roles are emerging inside modern plants, including:

Automation technicians who support robotic systems

Mechatronics specialists who blend mechanical, electrical, and software skills

Instrumentation technicians responsible for complex sensors and control systems

Industrial electricians trained in both power systems and digital automation

This shift makes ongoing training and workforce development more important than ever. Plants that continuously upskill their teams-or bring in outside specialists when needed-are the ones best equipped to navigate technological change.

How Automation and Skilled Trades Boost Productivity Together

Automation and skilled trades complement each other in ways that dramatically improve performance. When both are used strategically, companies see benefits across the entire operation.

1. Projects Move Faster

Automation speeds up production, but skilled workers are the ones who install, calibrate, and optimize those systems-leading to faster commissioning and fewer delays.

2. Uptime Improves

Sensors and predictive tools can identify issues, but skilled trades teams still perform the repairs and adjustments. Together, they reduce unexpected downtime and keep equipment running at peak performance.

3. Safety Increases

Automation removes workers from high-risk tasks, but systems themselves must be installed and maintained by trained professionals. Skilled trades ensure these technologies function properly.

4. Labor Resources Become More Flexible

Automation lets plants scale production efficiently, while temporary or project-specific skilled labor can fill gaps during major projects or seasonal demand swings. This creates a more adaptable workforce model.

The combination of technology and human craftsmanship creates an operation that is faster, smarter, and more resilient.

Challenges Leaders Face When Bringing Automation and Skilled Labor Together

Despite all the benefits, integrating advanced technology with a traditional workforce isn't easy. Many leaders face similar obstacles:

* Skills Gaps

Not all workers are trained in new digital tools, forcing companies to invest in upskilling or seek outside help.

* A Retiring Workforce

Many experienced tradespeople are nearing retirement age, widening the labor gap and putting more pressure on recruitment.

* Greater Technical Complexity

Automation introduces systems that require cross-disciplinary knowledge, something traditional job roles weren't originally designed to cover.

* Operational Resistance

Implementing new technology often means changing familiar workflows, which can create uncertainty and resistance if not managed well.

Companies that proactively address these challenges will gain a major advantage as industrial technology continues to evolve.

Strategies for Building a Future-Ready Industrial Workforce

Organizations that successfully combine automation with strong human expertise share several common strategies:

1. Prioritize Continuous Training

Teaching workers how to operate and maintain modern automation tools helps bridge the skills gap.

2. Develop Hybrid Skills

Encouraging workers to expand into mechatronics, robotics, or automation technology builds more capable, cross-functional teams.

3. Use Specialized Staffing Support When Needed

External staffing experts can provide skilled tradespeople during major automation upgrades, peak workloads, or capital projects-ensuring continuity without overloading internal staff.

4. Use Data to Forecast Workforce Needs

Predictive analytics make it easier to plan for training, hiring, and the timing of external labor support.

5. Strengthen Collaboration Across Departments

When engineers, technicians, and operations teams communicate effectively, automation integrates more smoothly and delivers better results.

Conclusion: The Future Depends on Both Technology and Talent

The future of industrial operations isn't a competition between machines and people-it's a partnership. Automation delivers speed, precision, and consistency, while skilled trades workers bring the experience, decision-making, and adaptability that technology cannot replace.

As industrial facilities across Europe modernize, those that invest in both automation and a highly trained workforce will see the greatest gains in productivity, safety, and long-term competitiveness. The strongest industrial operations of the future will be the ones that recognize the power of blending technology with human skill-and commit to building that balance today.

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The Future of Industrial Operations: Blending Automation With Skilled Trades for Higher Productivity

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Discover how combining automation with skilled trades boosts productivity and drives smarter, more resilient industrial operations.

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I am researching how the demand for industrial engineers is increasing due to companies needing experts who can improve efficiency, productivity, and system design. https://www.bls.gov/ooh/architecture-and-engineering/industrial-engineers.htm

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Industrial Engineers : Occupational Outlook Handbook: : U.S. Bureau of Labor Statistics

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Industrial engineers find ways to eliminate wastefulness in production processes. They devise efficient systems that integrate workers, machines, materials, information, and energy to make a product or provide a service.

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(Fernanda Chavez) Environmental engineers are in higher demand, specially in metro areas like California, because of the rising awareness of the state of the Earth and concern for the environment

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The job market for environmental engineers in the United States - CareerExplorer

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There are currently an estimated 47,300 environmental engineers in the United States. The environmental engineer job market is expected to grow by 6.1% between 2022 and 2032.

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how engineers design and optimize mechanical systems

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Is there an increase want of munitions engineering

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Is there an increase want of munitions engineering

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My project idea is to track the amount of military budget and follow to see if military money increases, does the want for more engineers willing to work in defense increase as well.

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The Future of Defense Contracting for Engineers - The Structures Company, LLC

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As global threats evolve and tech innovation accelerates, the defense industry is undergoing rapid transformation. Increased investments in cyber warfare, space defense, and autonomous systems are reshaping priorities—and engineers are at the forefront of this shift. High-Tech Priorities, High Demand for Talent The defense industry is evolving, creating exciting new opportunities in AI, robotics, cybersecurity, […]

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Digital Logic Design Basics

https://jlcpcb.com/blog/digital-logic-design-basics?utm_source=copilot.com

My topic is digital logic, which explains how computers use 1s and 0s through logic gates and circuits to make decisions and process information.

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EV's were meant to surpass gas cars but now sales are going downs.

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CBT News | #1 Source for Automotive News & Dealership Intelligence

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The long-predicted electric-only future for cars is unraveling faster than most experts expected. Across the globe, internal combustion engines are making a comeback, and consumers, automakers, and governments alike are reassessing the rush toward all-electric vehicles. According to a recent report from EY, half of all car buyers worldwide now plan to purchase a new or used gasoline-powered vehicle. Interest in fully electric cars has dropped by 10 percentage points, and even hybrids have seen a 5-point decline. Europe attributes this shift to a mix of government policy reversals, trade disputes, and growing concerns over the cost and practicality of EV ownership, including charging infrastructure.

This is not a regional trend. In the United States, there is no longer an electric vehicle mandate and sales of gasoline-powered vehicles have increased. The rollback of fuel economy standards was finalized by the Trump administration. US consumers made the choice, not government regulations. Chinese consumers, while continuing to buy EVs, are less concerned with how their cars are powered and more focused on digital integration and lifestyle features. Worldwide, car buyers are signaling a clear preference for practicality, affordability, and choice over political or environmental mandates.

The implications for the automotive industry are significant. Automakers have long argued for a slower phase-down of fossil fuels as a lifeline for the industry, while EV advocacy groups continue to push for a rapid transition to cut CO2 emissions. Trade pressures add complexity: Western policymakers have imposed tariffs to shield domestic markets from heavily subsidized Chinese EVs, yet U.S. and European automakers also face competition from China's gasoline-powered vehicles in global markets. Consumers are reacting to these pressures: 36% of prospective EV buyers report reconsidering or delaying their purchases due to geopolitical developments.

Sign up for CBT News' daily newsletter and get the latest industry stories delivered straight to your inbox.

Nowhere is the tension between ambition and practicality more visible than in Europe. The European Union's plan to ban the sale of new internal combustion engine vehicles by 2035 is facing unprecedented pushback. Prime Ministers from six countries-Italy, Poland, Slovakia, Hungary, the Czech Republic, and Bulgaria-have written to European Commission President Ursula von der Leyen, urging a more flexible approach. They propose allowing plug-in hybrids, range-extended electrics, and fuel-cell vehicles to remain on the market beyond 2035. Germany, though not part of the formal letter, is also advocating for relaxed rules amid slower-than-expected EV adoption.

This coalition's message is clear: Europe cannot afford a rigid, all-electric future without risking its industrial competitiveness and job security. Automakers like Volkswagen, Stellantis, and Renault are watching closely, as billions in future investments hang in the balance. The six leaders argue for "technological neutrality," emphasizing that no single technology will solve emissions challenges. Banning internal combustion engines outright, they warn, could turn Europe into an industrial desert while simultaneously ceding market share to foreign rivals.

Economic realities reinforce this caution. Europe faces high energy prices, rising labor costs, aggressive competition from China, and lingering uncertainty about consumer EV adoption. The planned EU review of emissions rules, originally set for 2026, has been brought forward due to slower EV uptake. Italy and Germany have been particularly vocal about the need to protect domestic automotive sectors, while France maintains a more EV-forward stance, focusing on electric investment to safeguard jobs. The coalition's request, however, underscores the growing consensus that a mixed-technology future is the only practical path.

Across the Atlantic, the United States is showing a similar trend. California, long a leader in strict EV mandates, is reconsidering its 2035 goal for all-electric and plug-in hybrid sales. Political and legal challenges, including Senate action to limit the state's authority to set vehicle emissions rules, have made an all-EV path less certain. These developments indicate that both consumers and policymakers are prioritizing realistic solutions over idealized visions of the future.

The global message is unmistakable: the all-electric car market is no longer inevitable. Gasoline engines, hybrids, and other alternative technologies remain essential to maintaining industrial competitiveness, protecting jobs, and meeting consumer needs. Policymakers, automakers, and consumers are increasingly aligned on a pragmatic path forward-one that balances emissions reduction with economic stability and practical mobility solutions. Across the world, gas cars are not disappearing; they are making a comeback, signaling that the future of transportation will be diverse, flexible, and grounded in real-world needs.

Check out my full commentary on this story: https://youtu.be/NUdi7U0wpS8

Looking for more automotive news? https://www.CarCoachReports.com

Listen to The Drive Car Show - https://www.youtube.com/@thedrivecarshow

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EV-only is COLLAPSING: Gas cars are back in the U.S. and Europe

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Global car buyers are shifting back to gas and hybrid vehicles, slowing the EV rush as practicality and affordability take priority worldwide.

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Topic: Growth in demand for robotics engineers in healthcare

Article link: https://www.weforum.org/stories/2025/06/robots-medical-industry-healthcare

One sentence explanation: I am researching how the increasing use of surgical and rehabilitation robots is driving higher demand for robotics engineers in the healthcare industry.

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6 ways that robotics are transforming healthcare

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Discover how cutting-edge robotics technology is being used by the medical industry to develop life-saving techniques and improve the patient experience.

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Ohm’s Law is a fundamental rule in electricity that explains how voltage, current, and resistance are mathematically related in a circuit using the formula V = I × R.

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Engineers are in demand because we need solutions in the automotive industry for more efficient vehicles and energy sources.

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I am going into 8th grade and in science we don’t talk about engineers and what they are or why. Are engineers the same as scientists? Why do we need…

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For this project, I would like to research the rise of computer engineering as more people are joining that career.

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AI & IT: The Future Of Computer Engineering Careers

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Explore how AI is shaping the future of IT careers, from quantum computing to IoT. Discover key trends driving innovation in computer engineering

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This study found that exposure to STEM related media during young ages especially STEM TV, online videos, and video games is associated with students’ interest in STEM careers in college, primarily by shaping their STEM identity and personal values rather than through direct influence

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The role of media in influencing students’ STEM career interest - International Journal of STEM Education

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Background Digital media are pervasive in the lives of young people and provide opportunities for them to learn about STEM. Multiple theories argue that the STEM media environment may shape how youth see a STEM career in their future. Yet, little is known about how pre-college digital media consumption may be related to students’ STEM career interest at the beginning of college. The wide variety of STEM media also raises the question of potentially different effects and pathways by media type. In this study, we collected a nationally representative sample of more than 15,000 students in their first year in U.S. colleges and universities. We asked about their career interests at the beginning of college and also asked them to retrospectively report their STEM media consumption during high school. Results We found that watching STEM-related TV and online videos, as well as playing STEM-related video games during high school, were positively associated with students’ STEM career interests at the beginning of college. However, we also found that STEM media consumption did not impact directly on STEM career interest, but acted through two intermediaries: STEM identity (I and others see me as a STEM person) and three personal career outcome expectations: a high interest in self-development (enhancement and use of talents), and low interests in material status (money, fame, power) and in interpersonal relationships (helping, and working with, other people). Conclusions This study finds that STEM media have a significant effect in fostering STEM career interest, with most of the effect coming from STEM TV, STEM video viewing, and STEM video games. The effect is mediated mainly through students’ identity and, to a lesser extent, through personal values, such as self-development, material, and interpersonal relationship values. This study suggests that media communication should be mindful of how different platforms may deliver nuanced and varied messages of what STEM careers may afford and who can succeed in STEM.

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Demand for environmental science and sustainability careers is increasing as governments and companies focus more on climate change, renewable energy, and environmental protection.

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Green careers in demand: 10 growing job roles for a sustainable future - Times of India

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News News: As the global demand for sustainability surges, green careers are growing rapidly across sectors like renewable energy, environmental science, and eco

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I chose to research professional basketball players because the NBA is growing globally, and careers in basketball offer exciting opportunities both on and off the court from playing professionally to coaching, analytics, and media.

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The official site of the NBA for the latest NBA Scores, Stats & News. | NBA.com

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The official site of the National Basketball Association. Follow the action on NBA scores, schedules, stats, news, Team and Player news.

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AI is transforming jobs by automating routine tasks, creating new roles like AI trainers/prompt engineers, changing skill demands focus on creativity, critical thinking, and altering how work gets done

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How will Ai change in the future?

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How artificial intelligence will change the world

Will AI help the world or hurt it?

Like any controversial subject, there will always be people who are for it, and those that are against it. Artificial Intelligence is no different. In fact, as new ai tools are introduced, and the news around them grows, so the division between the two camps will grow with it. Many market research analysts say that AI has the potential to bring about numerous positive changes in society, including enhanced productivity, improved healthcare, and increased access to education. But we need to adapt right now.

Others will say, mostly those working in human work types of jobs that are manually repetitive, that ai and robotics is a disruptive force and when it comes to the future of jobs it merely serves to steal jobs. But robots and ai technologies can and will create a great many new vocations and help solve complex problems and make our daily lives easier and more convenient. The jury is not yet out on this, but the leaning is more toward ai being a positive force rather than a negative one.

How will AI affect jobs and the economy?

McKinsey global institute says that at the global average level of adoption and absorption and advances in ai implied by their simulation, AI has the profound impact to deliver additional global economic activity of around $13 trillion in the foreseeable future and by 2030, or about 16% higher cumulative GDP compared with today. This amounts to 1.2% additional GDP growth per year. If delivered, this impact would compare well with that of other general-purpose technologies through history. This will mainly come from substitution of labor by automation and increased innovation in products and services.

The same report went on to say that By 2030, the average simulation shows that some 70% of companies will have embraced the ai revolution and adopted at least one type of AI technology but that less than half will have fully absorbed the five categories. Forbes say ai has the potential to be among the most disruptive technologies across global economies that we will ever develop.

How will artificial intelligence affect society and future?

Forbes says that the future of AI brings endless possibilities and applications that will help simplify our lives to a great extent. It will help shape the future and destiny of humanity positively, whilst Bernard Marr & Co says that the transformative impact of artificial intelligence on our society will have far-reaching economic, legal, political and regulatory implications on all types of jobs and industries that we need to be discussing and preparing for. Others in the know say that AI has the potential to bring about numerous positive changes in society both now and in the future, including enhanced productivity, improved healthcare, and increased access to education. AI-powered technologies can also help solve complex problems and make our daily lives easier and more convenient.

How Will AI Affect Jobs - How many jobs will AI replace by 2030

Artificial intelligence (AI) could replace the equivalent of 300 million full-time jobs, a report by investment bank Goldman Sachs says. It could replace a quarter of work tasks in the US and Europe but may also mean new jobs and a productivity boom. And it could eventually increase the total annual value of goods and services produced globally by 7%. The report also predicts two-thirds of jobs in the U.S. and Europe "are exposed to some degree of AI automation," and around a quarter of all jobs could be performed by AI entirely.

Researchers from the University of Pennsylvania and OpenAI found some educated white-collar workers earning up to $80,000 a year are the most likely to be affected by workforce automation.

Forbes also says that According to an MIT and Boston University report, AI will replace as many as two million manufacturing workers by 2025.

A study by the McKinsey Global Institute reports that by 2030, at least 14% of employees globally could need to change their careers due to digitization, robotics, and AI advancements

What jobs are most likely to be automated?

1. Customer service representative

Most human customer service interactions are no longer done by phone with human employees manning the lines. Most of the time, the queries and problems of customers are repetitive. Answering these queries does not require high emotional or social intelligence. Therefore, AI can be used to provide automated responses to frequently asked questions.

2. Receptionists

The majority of companies across the world are now using robots at their reception. Even the calls are being managed by AI now. For example, AimeReception can see, listen, understand, and talk with guests and customers.

3. Accountants/Bookkeepers

Many companies are now using automation and ai for their bookkeeping practices. AI-powered bookkeeping services provide an efficient accounting system and flexibility and security, considering that they are available as cloud-based services. Using ai algorithms, AI will ensure the data is collected, stored, and analyzed correctly. Using an AI accounting service is significantly less costly than paying an employee's salary to do the same job.

4. Salespeople

Gone are the days when corporations required salespeople for advertising and retail activities. Advertising has shifted towards web and social media landscapes. The built-in target marketing capabilities in social media allow advertisers to create custom content for different types of audiences.

5. Research and analysis

The fields of data analysis and research are areas that already implement the use of artificial intelligence as a method of streamlining the process and identifying new data without human assistance. The processing power of modern computers allows for the efficient sorting, extrapolation and analysis of data. As artificial intelligence continues to improve, there may not be a need for humans to play a role in data analysis and research.

6. Warehouse work

Online sales is a steadily growing industry and comes with an increasing need for processes and automated systems that efficiently get orders onto trucks for delivery. One area of focus for streamlining the process has been the use of automation. Basic automation and artificial implementation in a warehouse allow for easy access to computerized systems to locate packages and direct staff, and future AI may even perform mechanized retrieval and loading to increase shipping capacities.

7. Insurance underwriting

When making assessments on the viability of insurance applicants, the most important work is often in analyzing the data available and applying it within a set of formulas or structures. Automation can easily complete these tasks and is continually adapting to perform more complicated duties, which may reduce how many underwriters a company requires.

8. Retail

Self-checkout stations at stores are an example of automation in the retail sphere and have gained prominence in grocery stores and big-box outlets. When a company makes use of self-checkout areas, it results from a cost-benefit analysis. Although allowing customers to scan their own items can increase the instances of theft, the company saves more money by reducing the need for employees working registers.

How to quickly change career

Experts say that ai and machine learning will help workers by creating more occupations than it replaces. That said, in order to ride the wave and build a new career, you have to have procured the skills necessary to get the job done. If you're exposed to ai and looking to pivot into an AI-focused role, demonstrating your knowledge and experience with AI development can give you an edge.

Why not take a read of our top 10 highest paying AI jobs article here.

To acquire the skills to stand out from other would be candidates you should: ramp up your technical skills, complete online courses, understand the industry, gain work experience, and develop your soft skills. AI will require extensive research and collaboration as it is still an emerging area. Soft skills will help set you apart from other developers who only have technical skills.

Which jobs will not be replaced by ai?

It is widely touted that ai will create more jobs than it replaces. Further to that, many in certain industries will breath a sigh of relief that ai will not threaten their vocation and livelihood. These are some of the jobs that will not involve repetitive tasks and be prone to disruption. This means that ai will not replace those that perform them in the open labor market.

1. Teachers

Teachers often represent a reference point for many of us. Often, our academic decisions are partly based on how inspiring a particular teacher has been with us in the years prior. For all these reasons, it is almost impossible that we will have a fully digital teaching experience in the Future.

2. Lawyers and judges

These positions have a strong component of negotiation, strategy and case analysis. A lot is based on the personal experience and knowledge of each specialist. It requires a certain set of skills to be able to navigate complex legal systems and argue in defense of a client in court. There is a human factor involved when it comes down to consider all the various aspects of a trial and take a final decision that could turn into years in prison, in the case of a Judge.

3. Directors, Managers and CEOs

Managing teams inside an organization is a matter of Leadership and this is not a stack of behaviors that can be written down in a code and processed in a linear way. A CEO is also the person responsible for sharing the company's mission and value down to the team. It is very unlikely that investors will ever feel comfortable investing in a company managed by robots or algorithms.

4. HR Managers

Although ai does assist in the hiring process to make sifting through CVs so much easier and quicker, Human Resource Managers still cover a variety of very important tasks inside an organization. Hiring new professionals is just part of their prerogatives. They also are a key position inside the organization for maintaining the staff motivated, detecting early-on signs of discontent, and manage them if possible.

5. Psychologists and Psychiatrists

Although a lot of face recognition technology is currently being used to develop initial AI counseling care and support, given the growing demand, mental health is a very delicate topic. Human touch is essential when it comes down to supporting people to succeed in their lives in all of the aspects that it can entail.

6. Surgeons

For sure, technology has seriously increased the accuracy with whom we are today able to diagnose and detect diseases in any medical report. Micro robotics also enhance the precision of the surgeons when it comes down to operation, enabling less invasive procedures. But being a surgeon requires the ability to connect with the patient on so many other different levels while taking a vast number of the factor under consideration at the same time. Experience, knowledge, and skills acquired throughout the years are all factors that need to be condensed in a matter of minutes during an operation.

7. Computer System Analysts

No matter how automated we become, there will always be the need of a human presence that can run maintenance work, update, improve, correct, and set-up complex software and hardware systems that often require coordination among more than one specialist in order to properly work. Reviewing the system capabilities, controlling the workflow and schedule improvements and increase automation is only part of a Computer System Analyst, a profession that is a great demand in the last years.

8. Artists and writers

Writing especially is such an imaginative fine art, and being able to place a specific selection of words in the right order is definitely a challenging endeavor. So even if AI technically would have the capacity of absorbing the content of most books in the world, in probably any language and come up with a somewhat personal style of communication, the magic and thrill of creating art with words is something that is pretty much going to rest in our domain of competition in the years to come.

How many jobs will be lost to ai by 2025?

The World Economic Forum has estimated that artificial intelligence will replace some 85 million jobs by 2025. Freethink says that 65% of retail jobs could be automated by that year, saying that this is largely due to technological advancements, rising costs and wages, tight labor markets, and reduced consumer spending.

How many jobs will be lost to ai by 2030?

PwC estimates that by the mid-2030s, up to 30% of jobs could be automatable, with slightly more men being affected in the long run as autonomous vehicles and other machines replace many manual tasks where their share of employment is higher. During the first and second waves, they estimate that women could be at greater risk of automation due to their higher representation in clerical and other administrative functions​.

How to embrace AI and learn skills to take advantage of this new technology

You may be wondering how you can start familiarizing yourself with AI in your work to help advance your career. LinkedIn says that the good news is that you probably already have experience with AI whether you know it or not. Asking voice assistants like Alexa and Siri questions uses AI, for example. Plenty of the apps on your phone also use AI, too. Generative AI, which is taking up all the headlines lately, is really the next step for this technology.

The company went on to say that to stay ahead in the era of artificial intelligence, it is essential to develop new skills and adapt to the changing job market. Here are some strategies for staying ahead in the era of artificial intelligence:

1. Embrace lifelong learning

In the era of AI, it is important to be constantly learning and adapting to new technologies and ways of working. This means taking courses, attending workshops and conferences, and keeping up-to-date with the latest trends in your industry.

2. Develop soft skills

While AI is great at performing routine tasks, it is still far from replicating human emotional intelligence and creativity. Developing soft skills such as communication, problem-solving, and collaboration will be crucial in the era of AI.

3. Be agile

In the era of AI, the ability to adapt quickly to changing circumstances will be key. This means being willing to learn new skills, take on new responsibilities, and pivot to new career paths.

4. Specialize

As AI becomes more ubiquitous, there will be increasing demand for workers with specialized skills and knowledge. By developing expertise in a particular area, you can increase your value to employers and differentiate yourself in the job market.

Learn from a next-gen university which embraces change

If there is one word that you need to take out of the way to transition from the current job market to the new world order of the job market affected by ai, is the word, 'agility'. The other is 'skills' and skills development at that.

Besides learning on the job, which can take a long time and effort for all concerned, many of those looking to switch careers or start a new one, are looking to online next-gen universities that can pivot on a penny and offer the programs at a specific period in time to take advantage of the drive to greater numbers of ai related jobs.

Here at Nexford University, we offer a BBA degree with a specialization in AI.

Doing the degree will mean that learners will learn and develop skills based on the latest employer needs and market trends - this is what the 100% online learning university calls their Workplace Alignment Model which is designed to equip those learners with the skills needed and what employers are looking for.

We also offer a MBA degree with specialization in advanced AI, for those looking for postgraduate education.

Conclusion

The neigh sayers have seemingly concluded that ai will take millions of jobs and put people out into the street, whilst those that are excited for it and ready to embrace the change are saying that ai has the ability to create more new types of jobs than it replaces.

That said, it would appear that resistance is futile, and that people must accept that artificial intelligence is becoming a part of our everyday lives. Every job role should embrace it, considering the efficient and cost-effective solutions it brings. It lets people focus on more creative goals by automating the decision-making processes and tedious tasks.

Artificial intelligence offers great promise to drive businesses forward, automate manufacturing processes, and deliver valuable insights. AI is increasingly being used across various industries, including logistics, manufacturing, and cybersecurity. Small businesses have also made rapid progress in creating speech recognition software for mobile devices.

To stay ahead in the era of artificial intelligence, it is essential to embrace lifelong learning, develop soft skills, be agile, and specialize in a particular area. By developing these skills and adapting to the changing job market, workers can thrive in the era of AI and take advantage of the opportunities it presents. Enrolling to do a BBA in Artificial Intelligence or an MBA in artificial intelligence can help people to get ahead and stay ahead in an ever evolving job market. Nexford offers an online BBA program and online MBA program that equip learners with the necessary skills to succeed in the ever competitive ai job market and avoid job loss.

For a more in-depth analysis download our free report.

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You would have been living under a rock if you did not know how artificial intelligence is set to affect jobs in 2024-2030. AI like ChatGPT seems to be stealing all of the headlines at the moment, Google unveiled new AI software to build presentations, analyze and enter data, and write content, and there are so many more AI tools like Gamma and Numerous AI. Those that are resisting, rather than riding the crest of the wave will not be making hey whilst the sun shines when it comes to landing in-demand jobs in the next 6 years and enjoying job growth. AI will be taking some jobs, but it will be creating new ones! Here are the most likely jobs that artificial intelligence will affect from 2024-2030:

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You would have been living under a rock if you did not know how artificial intelligence is set to affect jobs in 2024-2030. AI like ChatGPT seems to be stealing all of the headlines at the moment, Google unveiled new AI software to build presentations, analyze and enter data, and write content, and there are so many more AI tools like Gamma and Numerous AI.

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Im researching how AI can change the medical industry forever by making medications for the future

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Human biology is extraordinarily complex, making drug discovery exceptionally challenging - yet AI is now reshaping the process end to end.

AI could help make some of the most difficult steps in drug discovery faster and smarter, including identifying disease targets, generating new compounds and predicting safety.

Leaders are gathering at the World Economic Forum Annual Meeting 2026 to explore how the ethical use of AI and other emerging technologies will translate into solutions for real-world challenges.

If you've ever taken a medicine and felt better, you've experienced something truly remarkable. Human biology is extraordinarily complex. Discovering drugs that can safely correct biological problems is extremely challenging. In biopharma research and development, a single programme can span years or even decades. We design and test thousands of compounds and feel fortunate if even a few advance to clinical testing.

Artificial intelligence‑based approaches are redefining these odds, not by digitally conjuring drugs overnight, but by making some of the most difficult parts of this process faster, smarter and less prone to failure.

Drawing on our work at Novartis, I'd like to share how AI is reshaping three critical steps in drug discovery: identifying disease targets, generating compounds and predicting safety. By taking an end-to-end view of the process, we gain a deeper understanding of the challenges and where AI can have the most impact.

Breaking away from the herd

Drug discovery typically starts with a protein in a disease that's doing something you want to change. Maybe it's overactive in a cancer cell or misfiring in the heart. The goal is to create a compound that binds to the protein in just the right way to modify its activity. This first step, protein target identification, is ripe for AI transformation. Biopharma often " herds " around the same targets, clustering in areas such as drivers of cancer cells or appetite regulators in obesity, but creating real breakthroughs requires new targets.

Image: © Novartis 2025. All rights reserved.

For example, autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited form of kidney disease, marked by cyst growth that eventually causes kidney failure. Recently, using large‑scale, AI-driven simulations, our team systematically turned thousands of genes on and off in digital models of ADPKD cells to look for involvement in the disease. In parallel, we used AI to mine vast amounts of scientific literature, human genetics data and results from millions of single‑cell experiments.

This could have been prohibitively slow without AI, but with it, we rapidly identified several dozen gene candidates. We then tested these in wet‑lab experiments using kidney organoids - "mini‑kidneys" grown in a dish that mimics the disease. In under a year, we honed in on five promising targets that we are now advancing for further study. The combination of AI and lab experimentation helped us quite literally break through a challenge that had resisted more traditional approaches.

The next step is designing molecules to act on our target. This requires finding a molecule that binds to specific pockets on the protein that can change its function. Traditionally, drug hunters used brute force, screening thousands to millions of molecules in hopes of finding a few active ones that we then spend enormous effort to optimize. Improve potency and you might ruin stability; fix metabolism and you might introduce toxicity. We juggle 20 or 30 properties at once - binding, solubility, off‑target effects, how long the compound lasts in the body and more.

This is why it can take several years to go from a promising hit to a true drug candidate, and why generative AI is potentially game-changing. With generative chemistry, new molecules can be designed rationally based on protein structure, chemical libraries can be screened at massive scales using digital approaches, and multiple properties can be optimized simultaneously.

Take neurodegenerative diseases like Huntington's Disease. In one project, we identified a protein that we wanted to remove through a biological mechanism known as intracellular degradation. Such molecules are called molecular glue degraders, as they stick the protein target to the cell's waste system. This is a new approach to target otherwise undruggable proteins in this devastating condition. But creating degraders that are orally available and reach the brain has been difficult.

Image: © Novartis 2025. All rights reserved.

Using generative AI, we computationally designed 15 million potential compounds and created predictive models to assess key properties like brain penetration. Instead of synthesizing thousands of molecules, we worked with around 60 in the lab, ultimately arriving at a potent, brain-penetrant molecular scaffold now moving forward for further optimization.

Like many companies, we're finding that this approach can dramatically reduce the time needed to narrow in on a candidate. This is just one example of a wide range of similar AI‑enabled programmes we're advancing, both internally and with collaborators such as Isomorphic Labs.

With candidate compounds in hand, we next evaluate safety. One of the foundational resources for our AI efforts at Novartis is Data42, our in-house data lake containing 30+ years of our clinical and preclinical studies. We've invested heavily in cleaning and standardizing our historical data, and for all the focus on algorithms, the work of data curation is one of the biggest unlocks for AI.

Using Data42, we can quickly query thousands of toxicology and clinical studies. For example, some classes of compounds are associated with cardiac safety signals like arrhythmias. We used AI to generate activity profiles for heart muscle cells, which predict potential clinical cardiac toxicity based on Data42 insights. We then used these profiles to computationally analyse candidate compounds from a preclinical programme. We found that for some otherwise promising molecules, our models predicted a strong cardiosafety risk signal. We validated this prediction in the lab and can now avoid compounds like this in the future.

Deciding when to stop can be a major challenge in biopharma, making AI-assisted predictive safety models invaluable. They can accelerate timelines, reduce failure rates and decrease reliance on animal studies - a shared priority for regulators and the scientific community. With AI and high-quality data, we can help ensure we only advance candidates with the greatest chances of being safe and effective.

These are just three steps in the much longer journey every new medicine must take. Companies like ours are deploying AI broadly across research and development to accelerate and improve not just discovery, but also clinical trial design, patient recruitment, regulatory documentation and more.

AI is not a magic wand. But at Novartis, we can clearly see the benefits, and molecules are advancing at pace with the help of AI. At the same time, the fundamental challenges haven't gone away: human biology remains deeply complex; translating research into carefully designed clinical studies takes time; and for many diseases, we still need long, rigorous trials to truly understand safety and efficacy.

What AI offers is not a way to circumvent the complexities of human biology, but to navigate them more intelligently. By enhancing how we choose targets, design molecules and avoid safety risks, AI is helping us make better decisions, faster, so that we can deliver for patients waiting for the next breakthrough.

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Here's how AI is reshaping drug discovery

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In biopharma research and development, a single programme can span years or even decades. But artificial intelligence is changing this.

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I'm researching the development of fire preventative technology.

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2025 was a landmark year for breakthroughs in fire suppression technology, bringing transformative changes to how we combat fires. Across the globe, the fire protection industry saw a marked improvement in fire suppression standards and technology, creating stronger safety systems and regulations that enhanced safety in commercial and industrial settings.

"Smart" Fire Suppression Technology

Fire suppression systems evolved significantly in 2025, with new tools and approaches designed to combat fires faster while minimizing damage.

One major trend was the development of "smart" sprinklers and hybrid suppression setups. Traditional sprinkler systems are being upgraded with multi-sensor capabilities and wireless links between sprinkler heads, allowing more targeted and coordinated response to a fire. By combining heat, flame, and smoke sensing, these smart sprinklers can respond earlier and more precisely than conventional systems.

Hybrid Systems Come to the Forefront

Hybrid suppression techniques gained traction as well, especially in commercial and industrial applications.

Rather than relying on water alone, many facilities started blending suppression agents. For example, using water mist in tandem with inert gas or foam to improve fire control. Water mist systems produce fine droplets that absorb heat efficiently with far less water usage, reducing water damage while still quenching flames. In fact, new "green" misting technologies can use up to 70% less water than old sprinklers, an eco-friendly advantage that is important to note.

When paired with clean agent gases (which chemically interrupt combustion) or high-expansion foams, these hybrid systems can both cool a fire and smother it, delivering a one-two punch. Such combinations proved especially useful in complex environments like data centers and industrial plants, where water alone might not be ideal.

Notably, the latest NFPA sprinkler standards in 2025 also expanded design guidance for large-volume spaces, specifying sprinkler types and layouts for very high ceilings (over 30 feet) based on occupancy risk with an update to . This helps protect modern warehouses and factories more effectively by ensuring even these vast areas get sufficient coverage.

Lithium-Ion Battery Safety is a Critical Concern

Another area of fire suppression technology innovation was fire protection for lithium-ion battery storage and other emerging hazards.

The rapid growth of renewable energy and electric vehicles means large Battery Energy Storage Systems (BESS) are now common in commercial facilities, and they pose unique fire risks. A lithium-ion battery fire can burn intensely and even reignite due to thermal runaway, so 2025 saw more sites installing specialized suppression systems for these scenarios.

Solutions include:

Clean agent gases (e.g. NOVEC 1230 or FK-5-1-12).
How they work: These systems can flood a battery room and extinguish flames without water (crucial for protecting sensitive electronics).

Compact aerosol units (e.g. Stat-X canisters).
How they work: Small canisters installed directly inside battery enclosures release fine particles that interrupt combustion. They are highly effective for confined spaces and recognized in standards like .

Inert gas systems (e.g. nitrogen).
How they work: These systems purge oxygen from a sealed battery vault to halt any fire, though they require careful design for safety. They are effective for large-scale installations.

A hybrid approach.
How they work: A combination of traditional sprinklers (or water mist) provides cooling to prevent fire spread between battery cells, while clean agents finish the job by snuffing out the flames.

These advanced suppression strategies gave facility operators a fighting chance to control battery incidents, which was a hot topic in 2025's fire protection discussions and the focus of NFPA's Fire Prevention Week .

A Safer Future Forged in 2025

2025 was a major year for breakthroughs in fire suppression technology, marked by technological innovation, and improved safety practices. Fire suppression innovations have made commercial and industrial environments safer than ever before. Stronger codes and standards, developed in response to both tragedies and new technologies, are ensuring these advances are widely adopted and properly implemented. Perhaps most importantly, the effect of these trends is a world better prepared to prevent fires or contain them early, protecting lives, businesses, and the environment.

Contact Encore Fire Protection about upgrading your systems so that you can take advantage of some of the recent breakthroughs in fire suppression technology.

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A Year Of Breakthroughs In Fire Suppression Technology - Encore Fire Protection

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2025 saw many breakthroughs in fire suppression technology, furthering the goal of better and safer fire suppression methods in all environments.

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My topic is about how trade school enrollment is rising in the United States as more students choose skilled‑labor careers instead of 4‑year colleges.

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I'm writing about the struggle that artists face with money, time, food, and other concerns.

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New Study Highlights Cost-of-Living Crisis for Artists | KQED

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The new survey asked more than 2,600 artists about everything from hours worked to housing.

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I chose to research Naval Architecture and Marine Engineering because the field is growing and expected to keep on growing because ships transport over 80% of the world's traded goods.

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Marine engineers and naval architects design, develop, and evaluate the operation of marine vessels, ship machinery, and related equipment.

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The future of electrical engineering using AI 

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The future of electrical engineering using AI 

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Im researching how the future of engineering is going to use AI in the future and how its already being used

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The rising demand for Cybersecurity Analysts

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The rising demand for Cybersecurity Analysts

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I’m researching how the demand for Cybersecurity Analysts is increasing due to rising cyber threats and digital expansion.

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There are currently 64,387 Cyber Security Analysts in the United States. That is expected to grow 32% from 2018 to 2028. See how that compares to other jobs.

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I’m researching how artificial intelligence is changing jobs and what ethical responsibilities companies have when they replace or monitor workers with AI. https://www.cnbc.com/2025/11/12/how-ai-is-changing-jobs-and-the-workplace.html

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I chose to research environmental scientists because jobs in this field are expected to grow over the next decade as the world needs more people to study and protect the environment.

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Summary

Video transcript available at https://www.youtube.com/watch?v=447oFgVvKno.

Quick Facts: Environmental Scientists and Specialists
2024 Median Pay

$80,060 per year
$38.49 per hour

Environmental scientists and specialists conduct research or investigations to protect the environment or human health.

Environmental scientists and specialists typically work in office settings and laboratories but may spend time in the field. Most environmental scientists and specialists work full time.

To enter the occupation, environmental scientists and specialists typically need a bachelor's degree in natural science or a related field.

The median annual wage for environmental scientists and specialists was $80,060 in May 2024.

Employment of environmental scientists and specialists is projected to grow 4 percent from 2024 to 2034, about as fast as the average for all occupations.

About 8,500 openings for environmental scientists and specialists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.

Explore resources for employment and wages by state and area for environmental scientists and specialists.

Compare the job duties, education, job growth, and pay of environmental scientists and specialists with similar occupations.

Learn more about environmental scientists and specialists by visiting additional resources, including O*NET, a source on key characteristics of workers and occupations.

What Environmental Scientists and Specialists Do About this section

Environmental scientists and specialists conduct research or investigations to protect the environment or human health. They may collect, study, and report on data of air, food, water and other sources and then recommend action.

Duties

Environmental scientists and specialists typically do the following:

Determine data collection methods for research, investigations, and surveys

Collect and compile environmental data samples for scientific analysis

Analyze samples, surveys, and other information to identify and assess sources of environmental pollutants or hazards

Develop plans to prevent, control, or address environmental problems

Provide information and guidance to government officials, businesses, and the general public on possible environmental hazards and health risks

Ensure that actions comply with the National Environmental Policy Act

Prepare reports and presentations to document research and findings

Environmental scientists and specialists identify and analyze existing or potential environmental problems, for which they then develop solutions to reduce or eliminate. For example, environmental scientists and specialists may work to reclaim lands and waters that have been contaminated by pollution. They also might assess the environmental risks a new construction project poses and recommend ways to minimize its impact.

Some environmental scientists and specialists focus on environmental regulations that are designed to protect people's health, while others focus on regulations designed to minimize society's impact on the ecosystem. Environmental scientists and specialists who work for federal, state, or local government ensure compliance with regulations involving natural resources. Those who work for consulting firms help businesses follow regulations.

The following are examples of types of environmental scientists and specialists:

Climate change analysts study effects on ocean, forest, and other ecosystems caused by long-term shifts in weather patterns. These analysts may do outreach education activities and grant writing typical of scientists.

Environmental health and safety specialists study how environmental factors affect human health. They investigate existing and potential environmental risks to well-being and educate the public about those risks.

Environmental restoration planners assess polluted sites and determine the cost of and activities necessary for cleanup.

Industrial ecologists work with organizations to increase the efficiency of their operations, with the goal of limiting an operation's impact on the environment. They analyze costs and benefits of various programs and their impacts on ecosystems.

Other environmental scientists and specialists focus on issues related to their area of expertise. For example, environmental chemists study the effects that chemicals have on ecosystems.

Environmental scientists and specialists held about 90,300 jobs in 2024. The largest employers of environmental scientists and specialists were as follows:

State government, excluding education and hospitals

28%

Management, scientific, and technical consulting services

19

Local government, excluding education and hospitals

13

Engineering services

10

Federal government, excluding postal service

6

Environmental scientists and specialists typically work in office settings and laboratories but may spend time in the field. Fieldwork can be physically demanding and may require working in all types of weather. However, fieldwork is often done by environmental science and protection technicians.

Environmental scientists and specialists also may have to travel to meet with clients or present research at conferences.

Work Schedules

Most environmental scientists and specialists work full time. They may need to work additional hours or a nonstandard schedule, such as nights and weekends, when conducting fieldwork or completing projects.

How to Become an Environmental Scientist or Specialist About this section

To enter the occupation, environmental scientists and specialists typically need a bachelor's degree in a natural science.

Education

Environmental scientists and specialists typically need a bachelor's degree in environmental science or a related field. For example, students may major in natural resources, biology, or physical science. Coursework in these fields often includes chemistry, geology, and physics. Students may find that specialized courses, such as in hydrology, waste management, or environmental policy and regulation, also are beneficial.

Completing an internship or volunteering with an environmental science organization while in school may help students gain practical experience.

Licenses, Certifications, and Registrations

Some employers prefer or require that candidates for environmental scientist and specialist positions have certification related to the work they will do.

Advancement

As environmental scientists and specialists gain experience, they may be given additional responsibilities. For example, they may supervise technicians or other scientists or be promoted to project leader, program manager, or some other management position.

Important Qualities

The following are examples of qualities that are important for these workers to perform their duties. For more information, visit the Employment Projections (EP) skills data page.

Analytical skills. Environmental scientists and specialists evaluate data to reach conclusions. They consider a range of methods and solutions in their analyses.

Communication skills. Environmental scientists and specialists may need to present and explain their findings to varied audiences. They also may need to write technical reports.

Interpersonal skills. Environmental scientists and specialists typically work on teams with other scientists, engineers, and technicians. They must be able to collaborate effectively to achieve their goals.

Problem-solving skills. Environmental scientists and specialists try to resolve issues that impact the environment and people's health.

Self-motivation. Environmental scientists and specialists may become frustrated, such as when facing failed test results. They should not become discouraged and must remain motivated.

Median annual wages, May 2024

The median annual wage for environmental scientists and specialists was $80,060 in May 2024. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $50,130, and the highest 10 percent earned more than $134,830.

In May 2024, the median annual wages for environmental scientists and specialists in the top industries in which they worked were as follows:

Federal government, excluding postal service

$113,980

Engineering services

77,960

Management, scientific, and technical consulting services

77,420

Local government, excluding education and hospitals

77,390

State government, excluding education and hospitals

76,840

Most environmental scientists and specialists work full time. They may need to work additional hours or a nonstandard schedule, such as nights and weekends, when conducting fieldwork or completing projects.

Employment of environmental scientists and specialists is projected to grow 4 percent from 2024 to 2034, about as fast as the average for all occupations.

About 8,500 openings for environmental scientists and specialists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.

Employment

Public interest in hazards facing the environment is projected to create demand for environmental scientists and specialists. These workers are expected to continue to be needed to analyze environmental problems and develop solutions that ensure communities' health.

Businesses are expected to continue consulting with environmental scientists and specialists to help reduce the impact of their operations on the environment. For example, environmental consultants help businesses to develop practices that minimize waste, prevent pollution, and conserve resources. Other environmental scientists and specialists will be needed to help planners develop and construct buildings, utilities, and transportation systems that protect natural resources and limit damage to the land.

Occupational Title

SOC Code

Employment, 2024

Projected Employment, 2034

Change, 2024-34

Employment by Industry

Percent

Numeric

Environmental scientists and specialists, including health

19-2041

90,300

94,300

4

4,000
Get data

Occupational Employment and Wage Statistics (OEWS)

The Occupational Employment and Wage Statistics (OEWS) program produces employment and wage estimates annually for over 800 occupations. These estimates are available for the nation as a whole, for individual states, and for metropolitan and nonmetropolitan areas. The link below goes to OEWS data maps for employment and wages by state and area. Use the dropdown boxes to select an occupation.

Projections Central

Occupational employment projections are developed for all states by Labor Market Information (LMI) or individual state Employment Projections offices. All state projections data are available at www.projectionscentral.org. Information on this site allows projected employment growth for an occupation to be compared among states or to be compared within one state. In addition, states may produce projections for areas; there are links to each state's websites where these data may be retrieved.

CareerOneStop

CareerOneStop includes hundreds of occupational profiles with data available by state and metro area. There are links in the left-hand side menu to compare occupational employment by state and occupational wages by local area or metro area. There is also a salary info tool to search for wages by zip code.

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Climate Change Policy Analysts Environmental Restoration Planners Environmental Scientists and Specialists, Including Health Industrial Ecologists

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Environmental scientists and specialists conduct research or investigations to protect the environment or human health.