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

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. A 2023 ResumeBuilder survey found that 37 percent of companies using AI replaced workers with the technology and 44 percent anticipated AI-induced layoffs in 2024.

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.”  

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.

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 Gemini 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.

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. 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.”

More Informed Decision-Making

Because AI and machine learning can gather and process large volumes of data, human workers can more quickly access data-based insights and understand the meaning behind trends and patterns. This takes the guesswork out of important decisions, ensuring employees rely on data-driven discoveries to help them make accurate decisions for their teams and businesses.

Increased Innovation and Problem-Solving

With AI taking care of redundant and mundane tasks, humans can dedicate their energy to addressing more complicated business challenges. AI-based tools like ChatGPT can also take on a collaborative role, allowing humans to bounce ideas off of them. As a result, AI can expand people’s capacity to solve problems and serve as collaborators that spur innovative approaches to lingering business issues.

More Personalized Customer Interactions

Employees can use AI technologies to gather data on users’ online behavior and save information on customer preferences. These abilities enable teams to tailor products and services to customers’ needs and cultivate more personalized, higher-quality customer interactions. By enhancing the customer experience, employees can help improve their company’s reputation and profitability.      

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. “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 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. 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, 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.”

Basic skills can be a crucial asset as well. For example, having solid verbal and written communication like listening, reading emotions, asking questions, writing clearly and structuring cogent arguments devoid of ambiguity.

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.”

“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.”

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