Employers say AI is expanding tech teams—but the survey cannot predict jobs
Randstad surveyed 1,100 senior decision-makers in 11 markets and analysed more than 20 million job postings. The results describe employer plans and advertised demand, not verified hiring, retention or worker outcomes.
The short version
- What happened
- Randstad interviewed 1,100 senior business and technology decision-makers across 11 markets, with 100 respondents in each, and analysed more than 20 million job postings and roughly 100 million candidate profiles.
- Who it affects
- Workers may use the report to identify growing demand for AI governance, orchestration and communication, but it cannot tell an individual which course will lead to secure employment.
- What remains unproven
- Company-sponsored report
Keep in mind
Company-sponsored report
1,100 employer interviews
11 markets
100 respondents per market
20m+ job postings
100m candidate profiles
No observed hiring or displacement outcome
Commercial staffing interest
Source analysis · 1 linked source. Primary analysed source date: 29 October 2026.
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Read the full report · 4 min The evidence, methods, implications and limitations
The report combines employer intentions with labour-market records
Randstad's new technology-talent report says AI is changing which workers organisations seek rather than simply shrinking technology teams. In August 2026, the company commissioned 1,100 interviews with senior business and technology decision-makers responsible for workforce planning and digital talent strategy. The survey covered Australia, Belgium, France, Germany, India, Italy, Japan, the Netherlands, Spain, the United Kingdom and the United States, with 100 respondents in each market. Randstad Market Intelligence separately analysed more than 20 million job postings and about 100 million candidate profiles.
Across that evidence, 86% of surveyed organisations said they were expanding their technology headcount. The report says job postings requiring AI capabilities grew more than fivefold over the previous year and demand for AI-agent skills rose 1,300%. Those percentages mix different evidence streams: the 86% figure is a stated employer plan, while posting trends describe advertisements. Neither establishes how many people were hired, retained, promoted or displaced, and a posting is not a filled job.[1]
Human judgement and governance appeared alongside technical demand
Sixty-one per cent of employer respondents said finding communication, critical-thinking and stakeholder-management capabilities was harder than sourcing technical coders. Randstad reports demand for risk-governance skills doubled by 108%, while the supply of candidate profiles carrying those skills grew 69%. It also says 63% of organisations named contingent, freelance, contract or fractional talent as their first-choice response to AI skill gaps. These findings suggest employers want people who can integrate and oversee systems, but the report does not show that every advertised skill label is measured consistently.
The analysis also identifies an equity gap: women represented 31% of professionals with emerging AI skills, compared with 36% for established technology skills. That is a profile-based representation measure, not a hiring, pay or progression rate. The report gives useful cross-market scale, but equal survey quotas do not mirror the economic size of each labour market, and the public methodology does not provide response rates, sampling error, weighting details or uncertainty intervals.[1]
The distinction that matters
What each evidence stream can show
Plans, postings and profiles answer different questions and should not be collapsed into one jobs outcome.
Survey
1,100 leaders describe workforce plans
Employer intentions
Postings
More than 20 million advertisements are analysed
Advertised demand
Missing
Follow hires, pay, tenure and displacement
Worker outcomes not measured
Workers need outcome measures, not just demand signals
For workers choosing training, the practical signal is that governance, orchestration and communication may complement technical skill. It is not evidence that one credential guarantees a job, that junior pay premiums will persist or that flexible work improves security. Randstad sells staffing and workforce services, giving it a commercial interest in employer demand and flexible-talent models; that does not invalidate the data, but it matters when interpreting the recommendations.
Confidence should change when the company publishes country-weighted estimates, response and completion rates, job-posting definitions, duplicate-removal rules and longitudinal links between advertised demand and filled roles. Independent administrative data should track hiring, pay, tenure, working conditions and displacement by occupation and gender. Until then, the report is a substantial snapshot of employer intentions and market signals—not proof that AI is creating secure jobs or a forecast of future employment.[1]
Watch the background, then check the evidence
Illustrative photo · not a video frame
UNESCO · 11 min 27 sec · Background explainer
UNESCO Talks: Interview with 2024 Nobel laureate Professor Daron Acemoglu
YouTube loads only when you choose; playback starts when you press play.
Economist Daron Acemoglu discusses how choices about AI affect workers, inequality and society. Pair the interview with our comparison of task exposure, hiring and skills evidence.
Evidence check: An expert interview from 2024, offering a perspective on policy and work rather than a measured forecast of job losses.
Published 2024-10-14. Source checked 14 October 2026. Check captions on the publisher’s video page.
Read the AI and jobs guidePhoto: Dylan Gillis / Unsplash · Licence
Continue the story
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Read the next reportExplore the full source and evidence record
What this means for people
- Workers may use the report to identify growing demand for AI governance, orchestration and communication, but it cannot tell an individual which course will lead to secure employment.
Global context
The research spans 11 sizeable labour markets across Asia-Pacific, Europe and North America. Equal national quotas make country comparison possible but do not create a population-weighted global estimate.
What the evidence does not yet show
- Company-sponsored report
- 1,100 employer interviews
- 11 markets
- 100 respondents per market
- 20m+ job postings
- 100m candidate profiles
- No observed hiring or displacement outcome
- Commercial staffing interest
What to watch next
- Response and weighting details
- Filled-job data
- Pay and tenure
- Occupation-level displacement
- Gender progression
- Independent replication
Living evidence record
Impact record IAI-01O2VMX
Evidence stage
Announced
Confidence
Developing
Reporting basis
Source analysis
Independent or research support
Not yet
Record status
Monitoring
Last checked
29 October 2026
Source trail
1 direct source across 1 source type.
People impact
Documented in this record.
Uncertainty
Limits and next checks are explicit.
Stages describe the evidence available—not whether a technology is good or bad. See the public method.
Single-source reporting disclosure
This record analyses one direct source. It can establish what Randstad published or reported, but it is not independent corroboration of every performance claim or predicted outcome. The confidence label will change only when broader evidence is added.
Evidence trail
Sources used for this report
Links checked 29 October 2026
Research question, topics and regions
Employer plans and advertised skill demand in Randstad's 2026 global technology-talent report
Topics: AI jobs · Tech skills · Workforce planning · Hiring · Gender gap
Regions: Global · Australia · Europe · India · Japan · United Kingdom · United States
This report is labelled source analysis. We summarise and analyse source material in our own words; company statements remain attributed claims until independently supported. Translated summaries preserve the meaning of the original source and link back to it. Read our editorial standards.
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