Which jobs will AI replace, according to the World Economic Forum's Future of Jobs Report 2025 and the ILO's 2025 exposure index - the most exposed roles, the growing ones, and how to judge your own job task by task.
Key takeaways
- The WEF expects 92 million jobs displaced and 170 million created by 2030 - a net gain of 78 million.
- The ILO finds one in four jobs exposed to generative AI, but only 3.3% in the highest-exposure group.
- Clerical work is the most exposed: data entry, bookkeeping clerks, administrative support.
- AI replaces tasks before jobs; the share of your week spent on routine text and data work is the real measure.
AI will change far more jobs than it removes. The World Economic Forum's Future of Jobs Report 2025 expects 92 million roles to be displaced and 170 million to be created by 2030, a net gain of 78 million. The International Labour Organization finds one in four jobs exposed to generative AI, but only 3.3% in the highest-exposure group. The most exposed work is clerical: data entry, administrative support and bookkeeping.
That is the short answer. The useful answer depends on what you actually do all day, because AI replaces tasks before it replaces jobs. This guide goes through what the two largest recent studies found, which roles are most and least exposed, and a way to judge your own job task by task.
Will AI take my job?
AI is unlikely to take a whole job in one step; it takes the repetitive parts of a job first. Whether that shrinks your role or frees it up depends on how much of your week is spent on work a model can already do well - reading and typing structured text, moving data between systems, drafting routine documents - and how much is judgment, physical work or dealing with people.
The WEF report puts the overall disruption at 22% of jobs by 2030, counting both roles created and roles lost. It also expects close to 40% of the skills a job needs to change over the same period, which is the more common experience: the job stays, and what it involves moves.
Which jobs are most exposed to AI?
Both reports agree that routine office work carries the highest exposure. These are the roles they name:
| Role | Why it is exposed | Source |
|---|---|---|
| Data entry clerks | Reading documents and typing values into a system is exactly what current models do well | ILO, highest exposure group |
| Typists and word processing operators | Producing and formatting text from a source | ILO |
| Accounting and bookkeeping clerks | Matching, categorising and entering transactions | ILO |
| General office and administrative assistants | Scheduling, correspondence and document handling | ILO and WEF |
| Cashiers and postal service clerks | Transactions that are already moving to self-service and automation | WEF, fastest declining |
| Graphic designers | Generative image tools now handle part of routine production work | WEF, newly listed as declining |
Exposure here means that a large share of the tasks in the role could technically be done by generative AI. It does not mean every person in the role loses their job.
Which jobs are growing?
The WEF report's fastest-growing roles fall into two groups:
- Technology, data and AI roles - the people who build, run and check these systems.
- Frontline roles that need a person on site - care work, education, delivery driving and farm work, where demand grows with population and ageing rather than with software.
What the growing roles share is that the valuable part is either building the technology or doing something physical and human that it cannot do.
Why exposure is not the same as replacement
The ILO's own conclusion is that transformation is the more likely result than mass replacement, and that matches what automation looks like inside a business. When I automate supplier invoice intake for a client, the person who typed invoices does not disappear - they become the person who reviews the invoices the system could not read or that failed a check. The typing goes; the judgment stays and gets more time.
Replacement happens when almost every task in a role is the automatable kind. That is why the highest-exposure group in the ILO index is small, 3.3% of jobs, while the "some exposure" group is a quarter of all work.
How to tell how exposed your own job is
A job title says little; the tasks inside it say a lot. This takes about twenty minutes:
- Write down everything you did last week, as tasks rather than responsibilities.
- Mark each task that is mostly reading, typing, copying or formatting information.
- Mark each task that needs a decision, a relationship, or your physical presence.
- Estimate the share of hours in the first group. Above about half, your role is likely to change noticeably.
- Look at the second group: those are the skills to build on, because they are what stays when the first group is automated.
What this means for a small business
For a business owner the practical question is not whether to replace staff but which tasks to take off their plate. Automating the typing, copying and reminders usually lets the same team handle more customers, answer faster and make fewer mistakes. I cover where to start in business automation for small businesses and how to put a number on it in measuring automation ROI honestly.
Will AI replace your profession? Role-by-role guides
Each of these looks at one profession in detail: which of its tasks AI already handles, which it does not, and what changes for the people in it.
- Will AI replace programmers?
- Will AI replace web developers?
- Will AI replace accountants?
- Will AI replace bookkeepers?
- Will AI replace lawyers?
- Will AI replace writers?
- Will AI replace graphic designers?
- Will AI replace marketers?
- Will AI replace customer service reps?
- Will AI replace recruiters?
- Will AI replace doctors?
Sources
Frequently asked questions
Which jobs will AI replace first?
Routine clerical roles are the most exposed: data entry clerks, typists, bookkeeping clerks and general office assistants top the ILO's 2025 exposure index, and the WEF lists cashiers, postal clerks and administrative assistants among the fastest-declining roles. Even there, most people see their tasks change before their job disappears.
Will AI create more jobs than it destroys?
According to the World Economic Forum's Future of Jobs Report 2025, yes over the period to 2030: about 170 million roles created against 92 million displaced, a net gain of 78 million. The new roles are not the same ones, and not always in the same places, which is why skills change matters as much as the totals.
Which jobs are safest from AI?
Roles that depend on physical presence, care or relationships: the WEF's growing roles include care work, education, delivery driving and farm work, alongside the technology and data roles that build and run AI. A job is safer the larger the share of its hours spent on judgment, people or hands-on work.
How can I tell if my job is at risk from AI?
List last week's work as tasks, mark the ones that are mostly reading, typing, copying or formatting information, and estimate their share of your hours. Above about half, expect your role to change noticeably. The tasks that need decisions, relationships or presence are the ones to build on.
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About the author
Yehonatan Saadia
Freelance automation, web & MVP developer
I'm Yehonatan Saadia, a senior developer who builds business automation, custom websites, and MVPs for small and mid-sized companies across the US, Europe, and Israel. These guides come from real client work, not theory.
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