Artificial intelligence (AI) has moved from science fiction into the workplace at breakneck speed. If you’re wondering what job will be replaced by AI, you’re not alone.

A national poll in America found that 70% of Americans think AI will decrease job opportunities while only 7% think it will increase them.

Anxiety is natural, but fear isn’t the best strategy.

“AI will definitely impact the job market, but we always find new things to do,”

– Sam Altman, CEO of ChatGPT

In this guide, let’s walk you through which roles are most likely to change, where opportunities are growing and how you can prepare.

What Jobs Will Be Replaced By AI? 

The question on everyone’s mind is which roles are at risk. While no list is definitive, evidence from research labs and job‑cut announcements points to certain patterns.

In 2025, U.S. employers announced 54,694 job cuts attributable to AI, and a national modelling project by MIT and Oak Ridge National Laboratory (Project Iceberg) estimates that current AI systems could already perform 11.7 percent of U.S. labor, representing about $1.2 trillion in wages.

Their simulations highlight that routine functions like data entry, scheduling, reporting and administrative work face the greatest exposure.

Let’s get into the categories most likely to be reshaped or automated in 2026.

1. Tech Sector Roles

The tech sector is one of the clearest places where AI’s impact is already beginning to show.

“You can see AI’s impact in the tech sector, where the employment share as a proportion of the whole economy has gone below the long-term trend”

– Joseph Briggs, Global Economics team at Goldman Sachs Research

AI tools are now being used to write code, test software, summarize documentation, debug errors, generate reports, and support product workflows.

This does not mean developers, analysts, or product teams are being replaced overnight. But it does mean that some parts of technical work are becoming faster, leaner, and more automated.

This is especially relevant for roles built around repetitive coding tasks, basic quality checks, documentation, data processing, and routine troubleshooting. As AI becomes better at handling these tasks, companies may need fewer people for purely execution-heavy work.

Recent tech layoffs show how this shift is already playing out. Cloudflare announced plans to cut over 1,100 jobs, about 20% of its workforce, as part of a restructuring around what the company described as an “agentic AI-first operating model.”

The company also said the cuts were not because of employee performance or short-term cost pressure, but because it was redesigning itself around AI.

Freshworks is another example. The company announced it would cut 11% of its workforce, or about 500 jobs, as AI reshapes the software industry. Reuters reported that Freshworks was navigating industry-wide disruption caused by rapid advances in artificial intelligence.

But these examples also show an important nuance that exposure does not mean every tech role disappears. It means the structure of work changes.

Tech professionals who can combine AI tools with problem-solving, system design, security thinking, product understanding, and business context will continue to be valuable.

In fact, the more AI handles basic tasks, the more important human judgment becomes in deciding what to build, how to build it, and whether the output is actually useful.

2. Routine Clerical and Administrative Roles

 Jobs involving predictable, rule‑based tasks such as data entry clerks, payroll administrators and scheduling assistants are prime candidates for automation.

The Iceberg study shows high exposure in human resources, finance and office administration.

Similarly, a Harvard Business School working paper found that employer demand for jobs involving structured, repetitive tasks decreased by 13% between 2019 and early 2025.

Software now handles invoice processing, appointment reminders and basic document creation without human intervention.

Yet even in clerical work, the story isn’t simply “humans out, robots in.” The data‑labeling industry(where people tag images, text and video so AI can learn) has grown into a major employer.

You can notice a pattern – automation of repetitive tasks often creates complementary roles, such as workflow designers who integrate AI into back‑office processes.

3. Customer‑support and Call‑center Jobs

 AI chatbots and voice assistants are good at answering standard questions, and many organizations use them to handle first‑tier support.

Research estimates that around 45% of customer‑service roles are at risk of automation, and companies have already cited AI when announcing layoffs.

But there’s another side to the story. A Gartner survey highlighted that half of the companies that cut headcount due to AI expect to rehire staff to perform similar functions by 2027. A Robert Half study found that 29 percent of firms that laid off workers after implementing AI later rehired them.

Klarna, the buy now-pay later (BNPL) provider is the best example. Klarna heavily leaned into AI customer service, but in 2025 it reportedly resumed hiring human support agents after quality and customer experience concerns.

“AI should not become a tick-box exercise. Organizations need contextual intelligence to decide where AI is useful, where humans are still needed, and how both can work together.”

— Arvind Warrier, People & Culture Leader, Volvo India

IBM shows a similar reversal at a broader workforce level. In 2023, IBM said it would pause hiring for some back-office roles that AI could replace. But in 2026, reports said IBM planned to triple entry-level hiring in the U.S., even as AI continued reshaping early-career work.

This does not mean AI had no impact. It means companies are discovering that cutting or freezing roles is only one part of the story. They still need people who can work with AI, understand customers, manage exceptions, and build long-term organizational knowledge.

IKEA provides another good example of the human-AI model. Instead of laying off thousands of call center workers whose simpler queries were handled by AI, IKEA reskilled 8,500 call center co-workers into roles such as remote interior design, digital retail sales, relationship building, and complex problem-solving; and this hybrid service is now one of its fastest‑growing revenue streams!

So customer support roles are not disappearing entirely. They are being split into two layers: routine support handled by AI, and complex or emotionally sensitive support handled by people.

Basic Financial and Reporting Functions

Financial analysts, bookkeepers and other professionals whose primary tasks involve gathering and organizing data are facing automation pressure.

And Goldman Sachs continues to estimate that 300 million jobs globally and around 30 million jobs in the finance sector are exposed to automation by AI, but “exposed” does not mean eliminated. It means a meaningful share of tasks can be automated or assisted by AI.

“Rather than solely eliminating jobs, generative AI creates new demand in augmentation-prone roles, suggesting that human-AI collaboration is a key driver of labor market transformation,” 

– Suraj Srinivasan, Harvard Business School Professor 

Also, generative AI doesn’t replace high‑level work ethic and judgment as investment managers and analysts use AI tools to process market data, but their decision‑making remains crucial. In fact, demand for analytical and creative work has increased by 20%, according to the Harvard study.

5. Production and Logistics

In production and logistics, AI is less about replacing every worker and more about changing how work is coordinated. Algorithms can forecast demand, optimize routes, predict machine failures, and guide warehouse systems.

Data shows that 58% of manufacturing jobs, 50% of transportation roles and 40% of retail jobs could be automated. Robots assemble products, AI optimizes delivery routes, and inventory systems automatically reorder stock.

But humans are still needed to maintain equipment, manage exceptions, oversee safety, and make real-time decisions when operations do not go as planned.

New positions like robot relationship managers – specialists who ensure people and machines cooperate safely – are emerging in these fields.

Jobs That AI Is Creating and Enhancing

While discussions often focus on what will be lost, AI is also creating entirely new career paths and enhancing existing ones.

The Future of Jobs Report from the World Economic Forum (WEF) notes that many companies expect a net increase in jobs by 2030 as AI automates routine work and creates 170 million new roles while displacing 92 million, yielding a net gain of 78 million jobs.

Here are a few emerging or expanding professions:

• AI Ethicists – With regulations such as the NIST AI Risk Management Framework and the EU AI Act, companies need experts to ensure AI is fair, compliant and aligned with organizational values.
• Data Labelers and Curators – Human annotators who prepare training data for AI models are in high demand.
• Robot Relationship Managers – Professionals who coordinate human‑robot workflows, train staff and monitor safety.
• AI Workflow Designers – Specialists who redesign processes to make the most of AI while keeping humans in control.
• Prompt Engineers and AI Trainers – As large language models become commonplace, companies hire people who can craft effective prompts and teach models to behave responsibly.

More broadly, roles that combine AI with human judgment, such as microbiologists,  financial analysts and clinical neuropsychologists, have high augmentation potential. These jobs involve tasks that AI can assist with (e.g., data analysis) alongside tasks requiring empathy, creativity or specialized knowledge.

The Harvard study shows that employer demand for analytical, technical and creative roles has grown by 20%, and research from Oxford’s SkillScale project shows that candidates with AI skills earn 23 percent higher wages than comparable peers.

AI‑related roles are also more likely to advertise flexible working arrangements and better benefits.

How to Prepare: A Guide for Job Seekers

If you’re worried about the future, take heart. Experts emphasize that human‑AI collaboration will shape the labor market, not wholesale replacement. Here are practical steps to stay ahead:

1. Invest in AI Literacy – This is becoming part of modern career development, especially for Generation Z, Millennials, and even experienced Baby Boomers navigating workplace change. You don’t need to become an AI engineer, but you should understand how AI tools work and where they can help. Basic skills like prompt writing, using AI assistants, understanding data, and knowing the limitations of AI can make you more valuable to employers. Online courses, bootcamps and tutorials can get you up to speed.
2. Develop Non‑Automatable Skills – AI can automate tasks, but it still struggles with human judgment, emotional intelligence, communication, creativity, leadership, and decision-making in complex situations. These are the skills that will continue to matter across industries.

“Workers who are likely to be displaced from the knowledge industries by AI may be less suited to the kinds of labor that are most needed.”

– Evan Tylenda, Analyst, GS SUSTAIN

Some of this demand will be in low-skill, service-based roles such as fast-food work, cleaning, and home healthcare. But a major share will also come from skilled technical work, including construction workers, engineers, electricians, and lineworkers.

For example, in the US alone, around 500,000 net new jobs may need to be filled by 2030 to meet the rising power demand driven by AI and related infrastructure growth.

For job seekers, this means the safest skills are not just “AI skills.” They are also the deeply human and highly practical skills that remain difficult to automate — problem-solving, adaptability, hands-on technical expertise, communication, and the ability to work across changing business needs.

• Reskill and Upskill Continuously – The skills needed for many roles are changing faster than before. Take online courses, complete certifications, work on small projects, or explore areas like AI ethics, data analysis, automation tools, or machine learning operations.
• Leverage AI Tools in Your Job Search – Modern job search strategies are no longer limited to browsing job boards and sending the same resume everywhere. Recruiters are increasingly looking for candidates who are comfortable using AI. You can use AI-powered tools to improve your resume, format it for ATS systems, write better cover letters, prepare for interviews, identify skill gaps, and use job matching platforms to discover roles that match your experience and goals. Platforms like Zappyfind can also help you find jobs that align with your exact requirements, so you spend less time searching and more time applying to the right opportunities.
• Stay Informed and Adapt – Follow credible sources such as the World Economic Forum, academic research, industry reports, and trusted technology publications to understand how AI is changing your field. The more aware you are of these changes, the easier it becomes to adjust before disruption affects your career path.

Learn How to Use AI to Your Advantage

AI is not just something that is changing jobs. It can also help you do your work better, learn faster, and make smarter career decisions. The key is to use it thoughtfully instead of depending on it completely.

1. Automate Low‑Value Tasks – Use AI tools to summarize long documents, organize notes, transcribe meetings, draft emails, research topics, or create first versions of routine work. This gives you more time to focus on higher-value work like strategy, problem-solving, and collaboration.
2. Enhance Creativity – Generative AI tools can help you brainstorm ideas, create first drafts, structure presentations, improve writing, or explore design concepts. Treat AI as a thinking partner that helps you get started faster, not as a replacement for your own ideas and judgment.

FAQ

Will AI take my job?

AI may take over parts of your job, especially if your work is repetitive, rule-based, or high-volume. But in most cases, AI is more likely to change jobs than completely remove them.

For example, customer support, admin work, basic reporting, content production, translation, and some coding tasks are already being automated in many companies. But companies are also realizing that AI cannot fully replace human judgment, empathy, creativity, problem-solving, and context.

Klarna, IKEA, and IBM are good reminders of this: even when companies automate certain tasks, they still need people to manage complex work, customer relationships, and AI-supported processes.

So the better question is not “Will AI take my job?” but “Which parts of my job can AI do, and which skills should I build so I stay valuable?”

“The future is not humans versus AI. The real question is how humans learn to coexist and collaborate with AI.”

— Deepu Xavier, Co-founder, Zappyhire

Which industries will be most affected by AI?

The industries most affected by AI are likely to be technology, customer support, finance, HR, media, logistics, manufacturing, and administrative services.

In tech, AI is already helping with coding, debugging, testing, documentation, and support workflows. In customer service, chatbots and voice assistants are handling first-level queries. In finance and admin, AI can process invoices, summarize reports, organize data, and automate routine paperwork. In media and content, AI is being used for drafts, translations, SEO content, and moderation.

TikTok is one example from content moderation. Reuters reported that the company laid off hundreds of employees globally, including many in Malaysia, as it shifted toward greater use of AI in moderation. TikTok also said automated technologies were already removing 80% of guideline-violating content.

But the impact will not be the same across every role. Jobs that are built around repetitive tasks are more exposed. Jobs that require decision-making, relationship-building, creativity, leadership, technical depth, or emotional intelligence are harder to automate fully.

How can I prepare for jobs that don’t exist yet?

Start by building skills that travel well across roles. These include AI literacy, problem-solving, communication, data understanding, adaptability, and the ability to learn new tools quickly.

You do not need to predict every future job title. Ten years ago, many people were not planning careers as prompt engineers, AI trainers, creator economy managers, or automation specialists. The common thread is that these roles grew because people learned how to work with new technology and apply it to real business problems.

A practical way to prepare is to learn how AI tools work, use them in your current role, and understand where they fail. For example, learn how to write better prompts, check AI-generated outputs, interpret data, automate repetitive tasks, and combine AI suggestions with your own judgment.

The safest career strategy is not to compete with AI on speed. It is to become better at using AI to solve problems humans still need to define, review, explain, and improve.

Are companies actually laying people off because of AI?

Yes, some companies are directly linking layoffs, contractor cuts, or hiring freezes to AI. But the picture is mixed.

Duolingo is one clear example. The company announced an “AI-first” shift and said it would gradually stop using contractors for work that AI could handle, especially in content production and translation. At the same time, Duolingo clarified that this was not about replacing all employees, but about scaling content faster and reducing repetitive bottlenecks.

“Without AI, it would take us decades to scale our content to more learners. We owe it to our learners to get them this content ASAP.”

– Luis von Ahn, Co-founder and CEO, Duolingo

But that didn’t stop users from boycotting the application as they disapproved of their business practices. This is also a reminder that AI-led restructuring should be handled carefully to avoid reputational damage, poor employee experience, and concerns around wrongful termination or unfair treatment.

TikTok also cut hundreds of roles globally as part of a shift toward more AI-led content moderation. The company said the changes were part of efforts to strengthen its global content moderation model.

“We’re making these changes as part of our ongoing efforts to further strengthen our global operating model for content moderation.”

– TikTok spokesperson, TikTok

But layoffs are only one side of the story. IBM, for example, previously paused hiring for some back-office roles that AI could replace, but later reports said it planned to triple entry-level hiring in the U.S. in 2026 for roles being reshaped by AI.

So yes, AI is contributing to job cuts in some areas. But it is also changing job design, creating new roles, and increasing demand for people who can work effectively with AI.

How to negotiate salary in an AI-driven job market?

Learning how to negotiate salary is especially important when your role involves AI skills, automation knowledge, or high-value human skills like problem-solving, communication, and decision-making. Before negotiating, research salary benchmarks, understand how your skills match the role, and clearly explain the value you bring. If you have experience using AI tools to improve productivity, reduce manual work, or make better decisions, include that in your negotiation conversation.

Can AI replace teachers?

AI can support teachers, but it is unlikely to fully replace them.

AI tools can help with lesson planning, quizzes, grading support, personalized learning, translation, and explaining concepts in different ways. This can be useful for students who need extra practice or teachers who want to reduce repetitive admin work.

But teaching is not just content delivery. Teachers also motivate students, understand emotions, manage classrooms, spot learning difficulties, build trust, and adapt to each student’s context. These are deeply human parts of education.

Will data scientists be replaced by AI?

AI will automate some parts of data science, but it is unlikely to replace good data scientists completely.

Tasks like cleaning data, generating charts, writing basic code, creating summaries, and running simple models can now be done faster with AI tools. This may reduce demand for data roles that are mostly focused on routine reporting or basic analysis.

But data science also requires asking the right questions, understanding business context, choosing the right methods, interpreting results, checking for bias, and explaining findings to decision-makers. AI can assist with these tasks, but it cannot fully own the accountability behind them.

In the future, data scientists who only produce dashboards may face more pressure. Data scientists who can combine AI tools with business judgment, experimentation, statistical thinking, and communication will remain highly valuable.

Will AI replace managers?

AI can replace some managerial tasks, but not good managers.

AI can help managers write performance summaries, analyze team data, create reports, schedule meetings, track goals, and identify workflow issues. These are useful productivity gains.

But management is not just administration. Managers also coach people, resolve conflict, make judgment calls, build trust, prioritize work, motivate teams, and handle sensitive conversations. These areas still need human awareness and emotional intelligence.

That said, managers who only act as task trackers may be more exposed. Managers who can lead teams, make decisions, use AI responsibly, and help people adapt to change will become even more important.

Will AI replace content writers?

AI will replace some low-value content writing tasks, especially work that is repetitive, template-based, or produced mainly for volume. This includes basic product descriptions, simple SEO articles, generic social captions, first drafts, summaries, and translation-heavy content.

This may affect gig workers, freelancers, and contractors first, especially where companies rely on high-volume content production.

Duolingo’s AI-first shift is one example of how AI may affect contractor-led content and translation work. The company said it would gradually stop using contractors for tasks AI could handle, especially where AI could help scale content faster.

CNET is another important example, but for a different reason. The publication used AI to generate articles and later had to pause the effort after errors were found.

“We’ve paused and will restart using the AI tool when we feel confident the tool and our editorial processes will prevent both human and AI errors.”

Connie Guglielmo, Former Editor-in-Chief, CNET

Gannett’s experiment with AI-generated local sports recaps also shows where the risk lies. The company used Lede AI to create high school sports summaries, but paused the experiment after readers mocked the articles for awkward phrasing and quality issues.

This example is useful because it shows that templated writing may be easier to automate, but not always easy to automate well. Even simple content still needs accuracy, context, readability, and editorial judgment.

“We have paused the high school sports Lede AI experiment and will continue to evaluate vendors as we refine processes to ensure all the news and information we provide meets the highest journalistic standards.”
 – Gannett spokesperson, Gannett

So yes, AI will affect content roles. But it is more likely to reduce demand for basic content production than replace strong writers. Writers who can bring strategy, research, brand voice, originality, interviews, storytelling, editing, and subject-matter understanding will still matter.

Will AI replace developers?

AI will not replace all developers, but it will change how software development works.

AI coding tools can already write code, explain errors, suggest fixes, generate tests, summarize documentation, and speed up repetitive development tasks. This may change how companies define entry-level roles, evaluate hard skills vs soft skills, and design apprenticeship or graduate hiring programs, and may reduce demand for developers who only handle basic coding or routine implementation work.

But building software is not just writing code. Developers still need to understand user needs, system architecture, security, scalability, product trade-offs, debugging, technical debt, and business goals. AI can support these areas, but it cannot fully take responsibility for them.

IBM’s recent shift is a useful signal. Reports said IBM planned to triple entry-level hiring in the U.S. in 2026, even as AI reshaped junior roles. The idea was not that junior developers disappear, but that their work changes, with more focus on problem-solving and customer-facing work rather than only routine coding.

So developers who learn to use AI well will likely become more productive. Developers who ignore AI may find it harder to compete.