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SUMMARY: "App Academy" discusses and lays out reasons why AI will NOT replace software engineers. While software engineers' roles are evolving due to AI, there are still numerous other aspects one must consider when being a software engineer. Writing code is a small part of the job. Problem-solving, creativity, design skills, security awareness, and complex system components are still things AI cannot replace. IT professionals will need to shift their mindsets. Instead of fearing AI, incorporating AI into software engineering will allow focus on more critical and complex aspects instead of tedious coding tasks.

REFLECTION: I have found very good points in this article on why AI will not take over software engineers in its current state. While AI is a powerful tool, it is not powerful enough to take over human aspects of tech-related jobs. The demand for software engineers will continue to grow.

CITATION: Academy, App. “Will AI Replace Software Engineers & Programmers?” Will AI Replace Software Engineers & Programmers?, App Academy, 2023, www.appacademy.io/blog/will-ai-replace-programmers#:~:text=The%20simplest%2C%20most%20straightforward%20answer,evolving%2C%20partly%20due%20to%20AI. Accessed 4 Apr. 2024

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There's no doubt that we're in the middle of a technological revolution. Artificial intelligence - AI - has been in the news for months. It's affecting our daily lives in ways we never could have predicted just a few years ago. For some, it's become a necessary tool for work. But will AI replace the need for software engineers and programmers? What can AI do to help coders - and what can't it do?

Will AI Replace Software Engineers?

That's the big question. The simplest, most straightforward answer is that no, AI will not replace software engineers for the foreseeable future.

However, software engineers' roles are evolving, partly due to AI. Writing lines of code is becoming an increasingly smaller part of the job. There are still human aspects to writing code: problem-solving, creativity, design skills, security awareness, and understanding complex system components. Those will always be there for human software engineers.

As AI becomes increasingly ubiquitous and takes on more coding tasks, IT professionals will need to shift their mindsets. Skills like data-driven design, human-centered design, user interface design, and test-and-learn will still be crucial for human engineers to apply to programs. While AI technologies like ChatGPT-3 can generate computer programs without coding, they are not entirely developed enough to replace programmers.

The best thing programmers can do is to stay abreast of emerging technology and how it can automate specific repetitive tasks to help them work more efficiently.

Advantages of Incorporating AI into Software Engineering

Software engineers can make AI work for them by incorporating it into their workflow.

Automating Repetitive Tasks

AI allows software engineers to focus on more critical and complex aspects of software development instead of repetitive and mundane coding tasks. AI can also make suggestions and auto-complete commands as engineers write line after line of code. This frees up time that software engineers can use for more advanced - more human - tasks in their work.

Bug Detection

Making mistakes is an inevitable human quality. With AI, software engineers can more accurately detect bugs in the code before it's even tested. AI can be set up to detect bugs as soon as they're written and either suggest solutions or make fixes as it goes along.

Prediction of Future Issues

Speaking of setting up AI to detect bugs, human engineers can also use AI to predict problematic code. AI can detect redundancies, inefficiencies, and other issues - all before the code is even tested, thus saving time.

Accurate Project Estimation and Collaboration

Based on previous performance, AI can help make more accurate predictions regarding how long a programming project will take to complete. Imagine - no more missed deadlines! And with the code suggestions mentioned above, AI can ensure an entire team is on the same page throughout the project.

Advantages of AI: The Takeaway

While AI like ChatGPT-3 can't - and shouldn't - replace all aspects of a software project, it can be used to make the project run more smoothly and efficiently. Think of it like an assistant who can identify mistakes and flaws in real time while ensuring all team members work within the same set of parameters.

Disadvantages of Incorporating AI into Software Engineering

Not all aspects of writing code will benefit from AI, though. And not all AI will be able to help software engineers.

Bad Code

AI can usually write more accurate code than humans can. But not always. AI is still code, and humans write that code. AI is also still new-ish. This can sometimes lead to bad code, even if it's AI-generated. ChatGPT will not be replacing programmers anytime soon. Software engineers are still needed to oversee code writing and programming.

Security Risks

Because AI learns as it goes along, it can use previously input code to generate new code - for users outside your company. As the recent data leak proves, inputting proprietary code into something like ChatGPT allows the system to spit that data out to non-authorized users, creating a massive security problem.

The potential for data leaks works the other way, too. When you ask ChatGPT to create lines of code, you can't be sure where that code comes from. Is it proprietary, and will you be sued for using it? Is it full of viruses or Trojan horses? These are things to consider when using AI to help write code.

Lack of Innovative Solutions

AI can only help you with what it already knows. It can't innovate or "think outside the box." AI mimics what it's already absorbed. It may help brainstorm ideas from those that already exist, but as of right now, it can't create new or unique solutions.

Lack of Understanding

Anyone who's used ChatGPT knows that sometimes the answer it gives you is entirely unrelated to the prompt you gave it. Even the most specific prompts can result in useless answers. That's because, as stated above, AI can only mimic what it already knows. If your prompt asks for information that's never been put into it, it won't give you the desired results.

Disadvantages of AI: The Takeaway

AI makes a great assistant but not a great team leader. While it can help eliminate repetition and bugs, it can't replace human software engineers' insight, instinct, and ingenuity.

Other Potential Implications

AI is still evolving, which means some of the drawbacks of using it to code may disappear one day. As we said, that's why it's essential for human coders to stay on top of new and emerging technologies as they're released. When you know what's coming, you can anticipate using it to your advantage - rather than letting it take your job.

Keep in mind, too, that new sets of skills are needed with the rise of AI and machine learning:

Programming languages and frameworks used to create AI and machine learning

Data analysis

Creative design

Complex algorithms

And so on. If AI can only mimic what's put into it, then there is still a need for software engineers who can decide what that input will be and how it can be helpful.

As we move forward with AI, there will be a constant need for software engineers with specialized skills to help maintain and guide it.
Learn More:
The World Still Needs Software Engineers

While we may be in the midst of an AI revolution, there is still an enormous need for software engineers. This need exists across industries, not just in the tech sector. According to the U.S. Bureau of Labor Statistics:
"Increased demand for software developers, software quality assurance analysts, and testers will stem from the continued expansion of software development for artificial intelligence (AI), Internet of Things (IoT), robotics, and other automation applications. In response to concerns over threats to computer security, organizations are expected to increase investment in software that protects their electronic networks and infrastructure. This investment could result in an increased demand for developers to create security software and for quality assurance analysts and testers to create and execute software tests. Software developers, software quality assurance analysts, and testers are likely to see new opportunities because of the increasing number of products that use software. For example, software systems continue to be built for consumer electronics and other products, including IoT-connected devices and electric vehicles."
In other words, coding jobs aren't going anywhere. In fact, there's predicted to be an increase in the need for software engineers in the coming years. Anywhere there's software, people need to hire employees who can code, with or without AI.
Read More: 6 Non-Tech Industries That Need Software Engineers
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Take our online quiz to learn which program is right for you, sign up for a live online info session to learn more, schedule a 1:1 call with one of our team experts, or submit a request with our convenient online form. Start your software engineering career today with App Academy!
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Will AI Replace Software Engineers & Programmers?

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Will AI replace software engineers? It's a question on everyone's mind. Let's take a closer look at what exactly AI can - and can't - do.

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SUMMARY: Matthew Urwin speaks about the widespread adoption of AI. Since the early 2000s, automation systems have slowly phased out many manufacturing jobs, and now white-collar jobs as well. Experts expect to see disruptions in hiring due to AI. But demand in other sectors is expected to rise. Urwin states that AI's biggest advantage will be its ability to save humans from having to do repetitive tasks. Urwin lists 10 jobs that are at risk of being replaced and 10 jobs that will not get replaced.

REFLECTION: This list of popular jobs that will and will not be replaced by AI. The author also speaks about the good that AI will have on the job market. This is a great article to get some information on where AI will be headed in the near future.

CITATION: Urwin, Matthew. “Ai Taking over Jobs: What to Know about the Future of Jobs.” Built In, builtin.com, 23 Feb. 2024, builtin.com/artificial-intelligence/ai-replacing-jobs-creating-jobs. Accessed 4 Apr. 2024

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The widespread adoption of artificial intelligence has promised to create new jobs and make workers more productive, but these changes have come with a cost. Since 2000, automation systems have slowly phased out many manufacturing jobs - 1.7 million of them - and white-collar jobs are now also at risk of being automated into obsolescence.

Will Artificial Intelligence (AI) Replace Jobs?

Some experts and industry insiders, however, aren't too worried about the rise of AI and remain unimpressed with the technology. While discussing AI models with the BBC, Nick Clegg, Meta's president of global affairs, went so far as to say, "In many ways, they're quite stupid." Even OpenAI founder Sam Altman believes current AI tools are "wildly overhyped."

Don't misunderstand, though; it isn't that the machines aren't rising. It's that they're rising much more slowly than some of the more breathless media coverage might have you believe - which is great news for most of those who think AI-powered technology will soon steal their jobs.

"Most of" being the operative words.

10 Jobs AI Will Replace

The consensus among many experts is that a number of professions will be totally automated in the next five to 10 years. Below are a few roles that are at risk of being taken over by AI in the near future.

How Many Jobs Will AI Replace?

Customer Service Representative

The customer service role is becoming more automated, as tools like chatbots and virtual assistants handle a broader range of customer inquiries and requests. Advancements like self-checkouts also make human workers less relevant in settings like grocery stores, reducing the number of jobs within the customer service industry.

Car and Truck Driver

Improvements in autonomous vehicles reduce the need for human drivers, impacting those in both the taxi and rideshare industries. In fact, Uber has partnered with self-driving car companies like Waymo and Aurora to give its riders more options, potentially setting up a conflict with its human drivers.

Computer Programmer

Generative AI tools like ChatGPT and Bard have raised questions about whether AI will replace writing-heavy jobs. While human language requires much more creativity and nuance, programming consists of more structured, straightforward language. ChatGPT can already be used to write code, so entry-level programming jobs may soon succumb to automation.

Research Analyst

Research-centric positions like market research analyst and financial analyst can be performed, at least to a degree, by AI. Machine learning has the ability to process large volumes of data, detect patterns and organize its findings into convenient visuals. This makes AI ideal for quickly delivering industry insights to teams without the need for human intervention.

Paralegal

Many administrative tasks completed by paralegals are within the range of AI's capabilities. With its ability to process massive amounts of complex data, AI can write legal reports, gather facts for a case, sort through documents and conduct legal research. This promises greater efficiency for legal firms, perhaps one day rendering the paralegal role obsolete.

Factory or Warehouse Worker

AI powers lots of machines in factories, performing many actions with greater speed and consistency than humans. Additionally, machine vision enables AI-powered machines in warehouses to retrieve goods and navigate their surroundings, making logistics providers less dependent on human warehouse workers.

Financial Trader

Financial traders are in charge of analyzing markets and informing investors' decisions, but AI can work through this process much faster. AI trading technologies can also predict market trends while remaining more accurate than human workers. These two factors combined with the fact that AI lowers hiring costs mean financial trader roles could disappear soon.

Travel Advisor

Travelers no longer need to rely on travel agents for personalized recommendations and travel tips. Travel platforms can leverage AI to power customer searches and make suggestions based on previous searches. Experiences like virtual tours and online informational videos also allow travelers to gather the information they want without turning to a travel agency.

Content Writer (In Some Cases)

AI content generators can already help brainstorm writing ideas and assist with repetitive content creation. Basic content marketing tasks like writing formulaic emails and short social media posts are no trouble for artificial intelligence. In some cases, AI can even produce a first draft for longer-form content, taking over many duties for human content marketers.

Graphic Designer

Graphic designers are in direct competition with AI-generated art, especially since the ability to produce this kind of art is available to the public. Tools like Lensa and DALL-E make it easy to create professional images without artistic expertise. As a result, businesses and individuals may depend less on graphic design services to produce eye-catching visuals moving forward.

9 Jobs AI Won't Replace

We can take comfort in the fact that some jobs are less likely to be replaced by AI. The jobs that AI won't be able to replicate range from creative fields to empathic jobs, as well as complex strategic jobs.

Teacher

AI-powered tools have made gains in the classroom, guiding small-group interactions and helping children grow their socio-emotional skills. But AI can't build the trust and intimacy that human teachers are able to have with their students. Human teachers may also be more equipped to resolve arguments, reach out to students' parents and handle other complex social interactions.

Nurse

Simple healthcare tasks like transporting medical supplies and retrieving patient data may fall to artificial intelligence. It's the face-to-face interactions where a human touch is essential. Providing bedside care, having hard conversations with families and assuaging the fears of patients are all situations where nurses and other health workers may be preferred over AI.

Social Worker

Social workers probably won't be replaced by AI anytime soon. The work they engage in - often with people from underserved or at-risk populations - requires a human touch and judgment. Understanding people's unique circumstances and helping them navigate stressful situations are areas humans may be better prepared for than artificial intelligence.

Therapist

Therapists perform a great deal of emotional labor, listening to people's problems and guiding them as they work through their feelings, thoughts and emotional responses. AI doesn't have the ability to grasp this aspect of humans to such a degree. And with a mental health crisis on the rise, human-led therapy is more crucial than ever to aid those who feel stuck or isolated.

Handyperson

People who work in the trades, like plumbers and electricians, often have to perform a range of manual labor and handle more in-depth human interactions - two things AI doesn't excel at. Plumbers, for example, have to demonstrate excellent eye-hand coordination to handle different appliances while displaying the soft skills needed to work with residents to resolve issues when relevant.

Lawyer

Although AI has become a major part of the legal industry, it's unlikely to replace lawyers any time soon. Lawyers are expected to possess a strong grasp of morals and ethics, relying on this knowledge to inform their legal advice. AI giving legal advice raises many ethical questions since AI doesn't have the same sense of 'right' and 'wrong' as humans.

HR Specialist

HR specialists oversee areas like recruiting, interviewing and onboarding - all processes that require high levels of personalized, human interactions. AI might be useful for screening resumes, but it may not be able to offer the kind of sensitivity and thoughtfulness required to navigate situations like layoffs, private questions about benefits and employee complaints.

Writer

Despite enjoying a boom in popularity, AI writing tools struggle to match the quality and creativity of talented human writers. Copywriters, UX writers and technical writers alike routinely exercise critical thinking in their work, such as making decisions based on audience preferences and needs. While AI tools can assist with generating ideas, the quirks of writing and human language are much harder to master.

Artist

AI art generators are skilled at producing high-quality pieces, but these pieces are only based on artworks and styles that already exist. Human artists are the ones who develop new styles and ideas that drive innovation within the artistic landscape. The livelihoods of artists will still be impacted by AI, but artistic originality resides with humans.

Benefits of AI in the Workplace

Despite fears of job loss due to automation, AI does offer major advantages to companies and workers who embrace the technology.

More Focused and Engaging Tasks

Among AI's biggest boons, many experts believe, is its ability to save humans from having to perform tedious repetitive tasks that are part of their overall duties so they're free to focus on more complex and rewarding projects - or just take some much-needed time off.

"There's always a concern that technology is displacing this current body of workers or tasks, and that's true," Sean Chou, co-founder of AI startup Catalytic, said. "But what always happens is that work, and that output, gets redirected to things that are much more productive."

More Efficient and Shorter Workdays

Some think increased productivity and efficiency might even shorten the work week. Which seems good in theory but comes with its own set of issues. Namely: how will pay and benefits be affected? And who reaps the bulk of monetary rewards? Those remain unanswered questions.

"Up to this point, technology has created more work because it's another thing you have to deal with," said Justin Adams, former CEO at Digitize.AI and vice president at its parent company Waystar. "But I think there's an inflection point where certain AI will get to a place where that actually flips."

How AI Will Create Jobs

The development of AI itself requires many humans to train and refine AI algorithms. This leads to the creation of roles that haven't existed until now. Machine learning engineers must design and oversee AI systems while AI ethics specialists ensure AI is deployed responsibly.

Chou confirms the necessity for human workers. "The number of people that are necessary to deliver better and better technology grows massively," Chou said. "So you move from worrying about the impact of high technology to actually helping to create the technology. When you look at AI, there's this nonstop need for training, for data, for maintenance, for taking care of all the exceptions that are happening. How do we monitor AI? How do we train it? How do we make sure that AI's not running amok? Those are all going to become new jobs."

Rather than completely destroying jobs, AI is shifting jobs and changing the type of work that professionals do. It's the kind of impact that the internet had upon its introduction. Chris Nicholson, CEO of machine learning company Skymind.AI, shares a similar view rooted in even more distant history.

"Everybody uses this analogy, but when the Industrial Revolution came, a certain kind of job disappeared," Nicholson said. "But many jobs, and many [new] jobs, were created. So when you think about, say, England before and after the Industrial Revolution, it wasn't a poorer place where there was less work. There was a lot more work, but it was a different kind of work."

How to Prepare for AI in the Workplace

Amazon - whose warehouses buzz with AI-powered machines and will be increasingly automated in years to come - announced that it would retrain 300,000 employees to the tune of $1.2 billion. Participation is voluntary in a program the company calls " Upskilling 2025," which is designed to teach employees skills they can apply to work in technical roles inside or outside of Amazon.

Skills to Cultivate in the Age of AI

More cynical observers might chalk that up to an expensive public relations campaign in light of less-than-flattering reports about how the company allegedly treats its workers. Besides that, Chou said, it's infeasible. Why not simply make technology that's more adaptable to more people, he wonders, so the learning curve is much lower? Retraining warehouse workers to be, say, engineers is completely unrealistic. Which isn't to say there's no value in additional education.

"I think that we should be trying to get people to understand a little bit about a lot of things so the jump is not very large and the opportunities come," said Dan Platt, senior principal of market innovation at AI company Narrative Science. "You're not going to train everybody to write in Python, but if you have people that are trained to understand the basics of engineering, or how things work, their chances [of not being displaced] are a lot higher."

For Nicholson, surviving and thriving in an increasingly AI-powered world requires a multi-pronged approach. First and foremost, he advises, "Avoid bullshit jobs. If you're bored in your job, it's probably a bullshit job and the machines will probably eat it."

Beyond that, his practical recommendations are surprisingly tech-less. And they can be summed up in two words: basic skills. For example, having solid verbal and written communication like listening, reading emotions, asking questions, writing clearly and structuring cogent arguments devoid of ambiguity.

"That's all very important," he said, "and it's also very hard for machines to do. Barring a nuclear holocaust, there will be no lack of humans who need to be communicated with."

It's also a good idea, Nicholson says, to cultivate a decent understanding of statistical concepts, calculus and algebraic linear regression in order to comprehend the " output of AI algorithms." Arming oneself with that sort of foundational knowledge is key to "being able to adapt." And in these tech-driven times, adaptation has no patience for slow pokes.

"People like to compare AI to electricity," Chou said. "And I actually agree with that analogy. But electricity took one or two generations to go from idea to widespread adoption, whereas today we're seeing the impact of technology occur much faster. And so the rate of fundamental social change is increasing, and it's taking a toll faster than people are ready and able to adapt."

But in order to survive and thrive, they must. And so, while big change is coming, a little advance planning - by workers who stand to be replaced and the companies that employ them - goes a long way.

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AI Taking Over Jobs: What to Know About the Future of Jobs

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AI promises to create new jobs and improve productivity at the expense of current roles. Learn how AI is impacting industries and reshaping the future of work.

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The dangers of AI; What job will or will not be replaced. 

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The dangers of AI; What job will or will not be replaced. 

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SUMMARIZE: Andrei Jikh, a YouTuber, speaks about the dangers of AI. Jikh explains how AI works. He explains how AI can already do 25% of human work. Tech companies, banks, and entertainment industries are already utilizing AI for marketing campaigns, movie scripts, and anti-money laundering, reducing things like human errors and costs. Jobs like office and administrative support, legal work, architecture, engineering work, etc. are most likely at risk of being replaced. Any jobs that are repetitive are most likely to be replaced by AI. Companies can lay off employees for productivity, not because AI can do their job.

REFLECTION: One of the best YouTube educational videos I have found. The YouTuber speaks about interesting facts and great takes. He goes into the dangers of AI but also some of the benefits. I've included this video for the number of real sources and statistics Anderi includes.

CITATION: Jikh, Andrei. “All the Jobs Ai Will Replace in 5 Years (and Jobs That It Won’t).” YouTube, YouTube, 31 July 2023, www.youtube.com/watch?v=avqMUyNrkGY. Accessed 4 Apr. 2024

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All The Jobs AI Will Replace In 5 Years (And Jobs That It Won’t)

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Learning to code? Is it worth it or not?.

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Learning to code? Is it worth it or not?.

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SUMMARY: The author states that AI's impact on computer science majors is already here. Students are able to finish school work at a faster rate than ever before because of AI tools. According to the author, professors must shift to supervised in-classroom assignments in order to prevent this. The author stops claiming that learning to program will no longer be useful. However, they admit that the tech industry will go through a major change as AI grows and trains itself, maybe even replacing those who only code as a career.

REFLECTION: The author speaks some truth about learning to code. I feel as if its obvious that programmers must leverage AI in order to work more efficiently. I added this article because of the interesting points the author has to offer.

CITATION: Korducki, Kelli María. “So Much for ‘Learn to Code.’” The Atlantic, Atlantic Media Company, 3 Oct. 2023, www.theatlantic.com/technology/archive/2023/09/computer-science-degree-value-generative-ai-age/675452/. Accessed 4 Apr. 2024

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In the age of AI, computer science is no longer the safe major.

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The quickest way to second-guess a decision to major in English is this: have an extended family full of Salvadoran immigrants and pragmatic midwesterners. The ability to recite Chaucer in the original Middle English was unlikely to land me a job that would pay off my student loans and help me save for retirement, they suggested when I was a college freshman still figuring out my future. I stuck with English, but when my B.A. eventually spat me out into the thick of the Great Recession, I worried that they'd been right.

After all, computer-science degrees, and certainly not English, have long been sold to college students as among the safest paths toward 21st-century job security. Coding jobs are plentiful across industries, and the pay is good-even after the tech layoffs of the past year. The average starting salary for someone with a computer-science degree is significantly higher than that of a mid-career English graduate, according to the Federal Reserve; at Google, an entry-level software engineer reportedly makes $184,000, and that doesn't include the free meals, massages, and other perks. Perhaps nothing has defined higher education over the past two decades more than the rise of computer science and STEM. Since 2016, enrollment in undergraduate computer-science programs has increased nearly 49 percent. Meanwhile, humanities enrollments across the United States have withered at a clip-in some cases, shrinking entire departments to nonexistence.

But that was before the age of generative AI. ChatGPT and other chatbots can do more than compose full essays in an instant; they can also write lines of code in any number of programming languages. You can't just type make me a video game into ChatGPT and get something that's playable on the other end, but many programmers have now developed rudimentary smartphone apps coded by AI. In the ultimate irony, software engineers helped create AI, and now they are the American workers who think it will have the biggest impact on their livelihoods, according to a new survey from Pew Research Center. So much for learning to code.

ChatGPT cannot yet write a better essay than a human author can, nor can it code better than a garden-variety developer, but something has changed even in the 10 months since its introduction. Coders are now using AI as a sort of souped-up Clippy to accelerate the more routine parts of their job, such as debugging lines of code. In one study, software developers with access to GitHub's Copilot chatbot were able to finish a coding task 56 percent faster than those who did it solo. In 10 years, or maybe five, coding bots may be able to do so much more.

People will still get jobs, though they may not be as lucrative, says Matt Welsh, a former Harvard computer-science professor and entrepreneur. He hypothesizes that automation will lower the barrier to entry into the field: More people might get more jobs in software, guiding the machines toward ever-faster production. This development could make highly skilled developers even more essential in the tech ecosystem. But Welsh also says that an expanded talent pool "may change the economics of the situation," possibly leading to lower pay and diminished job security.

If mid-career developers have to fret about what automation might soon do to their job, students are in the especially tough spot of anticipating the long-term implications before they even start their career. "The question of what it will look like for a student to go through an undergraduate program in computer science, graduate with that degree, and go on into the industry ... That is something I do worry about," Timothy Richards, a computer-science professor at the University of Massachusetts at Amherst, told me. Not only do teachers like Richards have to wrestle with just how worthwhile learning to code is anymore, but even teaching students to code has become a tougher task. ChatGPT and other chatbots can handle some of the basic tasks in any introductory class, such as finding problems with blocks of code. Some students might habitually use ChatGPT to cheat on their assignments, eventually collecting their diploma without having learned how to do the work themselves.

Richards has already started to tweak his approach. He now tells his introductory-programming students to use AI the way a math student would use a calculator, asking that they disclose the exact prompts they fed into the machine, and explain their reasoning. Instead of taking assignments home, Richards's students now do the bulk of their work in the classroom, under his supervision. "I don't think we can really teach students in the way that we've been teaching them for a long time, at least not in computer science," he said.

Fiddling with the computer-science curriculum still might not be enough to maintain coding's spot at the top of the higher-education hierarchy. "Prompt engineering," which entails feeding phrases to large language models to make their responses more human-sounding, has already surfaced as a lucrative job option-and one perhaps better suited to English majors than computer-science grads. "Machines can't be creative; at best, they're very elaborate derivatives," says Ben Royce, an AI lecturer at Columbia University. Chatbots don't know what to do with a novel coding problem. They sputter and choke. They make stuff up. As AI becomes more sophisticated and better able to code, programmers may be tasked with leaning into the parts of their job that draw on conceptual ingenuity as opposed to sheer technical know-how. Those who are able to think more entrepreneurially-the tinkerers and the question-askers-will be the ones who tend to be almost immune to automation in the workforce.

The potential decline of "learn to code" doesn't mean that the technologists are doomed to become the authors of their own obsolescence, nor that the English majors were right all along (I wish). Rather, the turmoil presented by AI could signal that exactly what students decide to major in is less important than an ability to think conceptually about the various problems that technology could help us solve. The next great Silicon Valley juggernaut might be seeded by a humanities grad with no coding expertise or a computer-science grad with lots of it. After all, the discipline has always been about more than just learning the ropes of Python and C++. Identifying patterns and piecing them together is its essence.

In that way, the answer to the question of what happens next in higher education may lie in what the machines can't do. Royce pointed me toward Moravec's paradox, the observation that AI shines at high-level reasoning and the kinds of skills that are generally considered to reflect cognitive aptitude (think: playing chess), but fumbles with the basic ones. The curiosity-driven instincts that have always been at the root of how humans create things are not just sticking around in an AI world; they are now more important than ever. Thankfully, students have plenty of ways to get there.

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In the age of AI, computer science is no longer the safe major.

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SUMMARY: Many tech workers laid off recently in California and across the U.S. Layoffs were partly due to pandemic-related over-hiring and investor demands. However, the industry shifted towards AI. AI is not only replacing traditional programming but also creating new jobs across the tech world. Job postings mentioning AI have increased, especially in Silicon Valley, which leads to AI adoption. Startups and established companies alike are hiring for AI roles, reflecting a big interest and investment. Despite the demand for AI talent, some struggle to find jobs with deep AI experience.

REFLECTION: I think this article reflects the big transition the tech industry is facing right now. It highlights both the opportunities AI will provide and also the challenges. It's reshaping the job market but also creating new jobs. The article shows the importance of staying adaptable and up to date.

CITATION: Masunaga, S., & Lee, D. (2024, March 20). Ai a job killer? in California it’s complicated. Los Angeles Times. https://www.latimes.com/business/story/2024-03-20/for-hard-hit-tech-workers-ai-is-a-silver-lining. Accessed 24 Apr. 2024

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AI a job killer? In California it’s complicated

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While the tech industry has been roiled by layoffs, the greater focus on AI could lead to new jobs in the future.

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SUMMARY:

As AI disrupts various tech roles, about 69 million new hybrid tech jobs are expected to emerge. These include roles like Product Builder, Prompt Engineer/Developer, Business Analyst/Data Engineer, Quality Assurance Director, and Complex Project Manager. AI can handle repetitive coding tasks but lacks in decision-making and human interaction roles.

REFLECTION:

I chose this article because it covers important roles in a tech company. The author then goes over how to effectively incorporate AI into your work.

CITATION: Shuffman, L. (2024, February 28). Smart career moves for people in Tech jobs facing disruption from ai. Dice Insights. https://www.dice.com/career-advice/smart-career-moves-for-tech-jobs-facing-disruption-from-ai. Accessed 25 Apr. 2024

REFELECTION:

CITATION:

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While a growing number of software engineers, programmers, manual testers, tech support staff and data analysts could see their jobs disrupted by artificial intelligence (AI) over the next few years, some 69 million new jobs to emerge, and many will be hybrid technology positions.

There isn't a bot out there that can master the intricacies of a Sure, AI can enhance and improve project management in a , but it can't do strategic planning, establish priorities, or build trust with stakeholders.

do things that ordinary project managers can't do. It's a distinct subset of people who use a combination of technical and leadership skills to effectively plan, execute, and oversee projects across various industries. Professionals with these skills will be able to write their own tickets for the foreseeable future.

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Smart Career Moves for People in Tech Jobs Facing Disruption from AI

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While a growing number of software engineers, programmers, manual testers, tech support staff and data analysts could see their jobs disrupted by artificial intelligence (AI) over the next few years, experts expect some 69 million new jobs to emerge, and many will be hybrid technology positions.

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SUMMARY:

24% of the workface is concern about being replaced by AI.

AI can take over your job. However, it can birth two or three jobs. While more companies will incorporate AI, accepting AI and preparing for it will be best for both employers and employees.

REFLECTION:

The article goes over statistics. It also speaks about the business side of things and how it will affect companies. This article speaks about the jobs that will most likely be affected too.

CITATION: Cecchi-Dimeglio, P. (2023, October 5). How ai is shifting the world of employment. Forbes. https://www.forbes.com/sites/paolacecchi-dimeglio/2023/07/28/how-ai-is-shifting-the-world-of-employment/?sh=75dc71be1d5c. Accessed 25 Apr. 2024

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How AI Is Shifting The World Of Employment

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On the horizon for leaders: AI adoption ignites human-machine partnerships, unlocking vast workforce potential and achievements.

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SUMMARY:

Goldman Sachs economists predict that up to 300 million jobs worldwide could be automated by advancements in artificial intelligence, including platforms like ChatGPT. They estimate that 18% of global work could be computerized, with a greater impact on advanced economies than emerging markets. White-collar workers, such as administrative staff and lawyers, are deemed more vulnerable to AI automation than manual laborers.

REFLECTION:

I decided on this article because embracing the opportunities presented by AI and proactively addressing its challenges, we can strive towards a future where technology catalyzes inclusive growth and prosperity.

CITATION: Toh, M. (2023, March 29). 300 million jobs could be affected by latest advancements in AI, says Goldman Sachs | CNN business. CNN. https://www.cnn.com/2023/03/29/tech/chatgpt-ai-automation-jobs-impact-intl-hnk/index.html. Accessed 25 Apri. 2024

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300 million jobs could be affected by latest advancements in AI, says Goldman Sachs | CNN Business

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As many as 300 million full-time jobs around the world could be automated in some way by the newest wave of artificial intelligence that has spawned platforms like ChatGPT, according to Goldman Sachs economists.