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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Some CEOs expect generative AI to reduce staffing, but surveys do not establish a reliable total number of jobs AI will eliminate. Their results measure different expectations over different time horizons—and several also report plans to hire, retrain or redeploy workers.
What the CEO surveys actually say
The striking headline statistic from PwC’s 27th Global CEO Survey is a share of leaders anticipating a particular kind of change—not a count of workers expected to lose their jobs. Other surveys produce different results because they ask different questions, cover different periods and measure different workforce actions.
| Survey | Reported expectation | What to keep in mind |
|---|---|---|
| PwC, 27th Global CEO Survey (2024) | One-quarter of surveyed CEOs expected their organization to reduce headcount by at least 5% in 2024 due to generative AI. In the same survey, 39% expected headcount to rise by at least 5%. | These are respondents’ one-year expectations, not realized cuts. Among technology CEOs, 14% expected a generative-AI-related reduction, while 56% expected to hire. |
| IBM Institute for Business Value CEO study (2024) | 47% expected to reduce or redeploy employees within 12 months because of generative AI. Separately, 40% planned additional hiring because of generative AI, and 51% said they were hiring for generative-AI roles that had not existed the prior year. | IBM interviewed 3,000 CEOs across more than 30 countries and 26 industries from December 2023 through April 2024. “Reduce or redeploy” combines actions that are not the same as layoffs. |
| KPMG International, 2024 CEO Outlook | 76% expected AI not to fundamentally reduce the number of jobs in their organizations over the next three years. | This measures a three-year expectation about fundamental job reductions, not the same threshold or time period used in the PwC and IBM findings. KPMG also reported that 58% said generative AI had led them to rethink skills for entry-level roles. |
The percentages should not be ranked as though the surveys asked the same question. A CEO who expects a modest headcount reduction, a redeployment, or a redesign of entry-level work may answer differently depending on the wording and horizon. None of these figures says what proportion of all workers will lose their jobs.
What changed in the 2025 outlook
In PwC’s 28th Annual Global CEO Survey, expectations of headcount growth were more common than expectations of decline: 42% of CEOs expected their organization’s headcount to increase by 5% or more over the following 12 months, compared with 17% who expected a decrease. The survey covered 4,701 CEOs in 109 countries and territories. PwC also said CEOs were more likely to report that generative AI had led to headcount increases than decreases.
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PwC’s 2025 Global AI Jobs Barometer reported that 82% of CEOs said AI had increased headcount or caused no change, and 70% expected AI to transform how their company creates value. Those are survey responses and expectations; the headcount result does not prove that AI has no displacement effect, including in particular roles or companies.
Employers describe several workforce strategies—not just layoffs
The World Economic Forum’s Future of Jobs Report 2025 records what surveyed employers expect to do as AI capabilities expand through 2030. These are employer expectations, not a census of actions already taken or guaranteed future outcomes.
Rank #2
| Expected employer strategy through 2030 | Share of surveyed employers |
|---|---|
| Upskill existing workers | 77% |
| Recruit talent to design and enhance AI tools | 69% |
| Hire people with skills to work with AI | 62% |
| Transition employees out of roles disrupted by AI | 47% |
| Downsize as AI capabilities expand | 41% |
The figures indicate that employers anticipate a mix of responses. A worker’s role may be redesigned, their tasks may shift, or they may move to another position; some employers also expect to reduce staff. Whether those transitions happen successfully depends on organizational decisions and whether workers can access the training and openings involved.
Do layoffs that mention AI prove AI caused the job losses?
No. A company announcement that connects layoffs with AI investment or efficiency is evidence of how management describes its decision. It does not, by itself, isolate AI as the cause or show how many positions were eliminated specifically because of AI.
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1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errorsAssociated Press reporting in July 2025 noted that the end of pandemic-era hiring and broader labor-market cooling complicate attempts to attribute workforce cuts to AI alone. A company may be changing staffing for several reasons at once, and a public statement may not separate their effects.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What this means if you are assessing your job or household finances
For personal planning, treat executive surveys as signals about employer intentions, not as a timetable for your own job or a forecast of economy-wide layoffs. The evidence points to uneven change: some employers anticipate cuts, others expect growth, and many describe retraining, transitions or AI-related hiring alongside workforce changes.
- Look for changes in your own work. Pay attention to which tasks are being automated or reassigned, what new responsibilities are appearing, and whether your employer is offering training or internal moves.
- Separate a role change from a job loss. Automation of tasks can alter a job without eliminating the position; a headcount reduction is a different outcome.
- Make financial decisions around your circumstances, not a headline percentage. These surveys cannot estimate your individual layoff risk or justify a specific financial move. Your employer’s plans, occupation and local opportunities matter more directly.
The available CEO and employer surveys do not support a defensible absolute total of jobs AI will eliminate. Turning respondents’ expectations into a global job-loss number would require a suitable population estimate and a causal model that these surveys do not provide.
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