Issue 14
Gartner predicts 30% of AI-related layoffs will require rehiring by 2029
Gartner says that 30% of layoffs attributed to AI will have to be followed by rehiring by 2029. A US and UK survey found that nearly one in five workers laid off because of AI were asked back by their former employer, and the Guardian reports that Meta has also reversed part of its agent-related layoff plans.
Who is affected and how
- employee
- After a layoff attributed to AI there is a chance of being called back, so it is worth preserving your negotiating position and your contacts.
- manager
- Cutting jobs for AI too early can mean costlier rehiring and a loss of knowledge later, and this should be priced in before the decision.
- HR professional
- In the exit process, it is worth setting terms that do not block a later recall.
Binance says North Korean hackers used fake job interviews and an internal AI tool in $6.3 billion theft
Binance's incident report says the $6.3 billion theft of 29 October involved a tampered coding tool, a fake recruitment process and an internal AI tool. Separately, Truecaller's head of HR warns of…
HR professionalCandidate and offer verification, and checks on the tools used during interviews, should be built into the recruitment process.job seekerRun a coding task or download a tool sent by an unknown company only from a verified source, because the interview itself can be an attack channel.skills · globalAI is rewriting entry-level work, putting the junior talent pipeline and career ladder at risk
International articles say AI is taking over entry-level tasks, undermining companies' talent pipelines and graduates' chances to gain practical experience. A Microsoft executive describes the career…
early-career professionalDirecting and checking AI tools has become the entry-level task; this is the skill to demonstrate.HR professionalRedesign junior programmes, or the later leadership pipeline will suffer.managerOnce entry-level tasks are automated, learning opportunities must be organised deliberately.survey · United StatesUS labor market stays strong in October, with white-collar hiring holding up
The US added 165,000 jobs in October, and the unemployment rate fell to 4.1%. Professional and business services added 70,000 jobs, and tech employment rebounded thanks to AI jobs.
job seekerWhite-collar demand is alive, but economists say the skill profile in demand is changing under the influence of AI.HR professionalCompetition for AI roles is strong, and there is no collapse in general white-collar hiring plans.employeeThe macro data do not confirm mass AI-driven job losses, but skills are being revalued.recruitment · globalAI takes over the first job interview: many candidates drop out, yet companies keep rolling it out
A survey finds that 29% of employed job seekers have quit an AI interview. CNBC reports that candidates should also expect questions about AI, as more companies hand recruitment to machines.
job seekerPrepare for AI interviews and for questions about your use of AI.HR professionalAI interviews lead to candidate drop-out, so candidate experience should be measured.SME ownerAI recruiting assistants are appearing for the holiday season, but without human oversight they are risky.Hungary
More key stories of the week
Demand for AI skills grows across professions, and employers pay for them
Coursera's 2026 skills report, along with reports on real estate, legal and local labour markets, point to rising demand for AI skills. An analysis of 390 job postings found that for AI engineers…
job seekerSpecific AI-related skills (LLMs, agents, evaluation) are prominent requirements in job postings.employeeAI competence can bring a pay premium, for example in the legal field.HR professionalUpdate the skills profile of positions with AI requirements.survey · globalRegular AI users work more: mental load and time spent fixing "AI slop" rise
In BCG research covering 14 markets and 11,749 workers, 41% of regular AI users reported growing mental load. Other studies find AI users work up to 90 minutes longer a day and spend a day a week…
employeeAI does not automatically reduce working hours; checking outputs also takes time.managerWhen measuring productivity, also measure time spent on corrections, and set limits against pressure to speed up.HR professionalMonitoring burnout risk and workload is a new HR task.layoffs · European UnionSUSE to cut about 10% of its workforce, citing AI and automation
The CEO of the German Linux company, Dirk-Peter van Leeuwen, told employees on Monday that SUSE will part with about 10% of its workforce because of AI and automation. The company was founded in 1992.
employeeIn the software industry, layoffs openly attributed to AI are no longer exceptional, so it is worth assessing how automatable your own role is.HR professionalHow the rationale is communicated and how affected staff are supported (retraining, outplacement) are the key issues in a layoff.survey · United StatesUS October layoffs at three-year low as seasonal hiring plans rise 26%
Challenger, Gray & Christmas reports that AI was cited for 1,265 job cuts in October, the lowest monthly figure this year, bringing AI citations so far this year to 121,401. Seasonal hiring plans…
employeeAhead of the holidays, employers are more likely to keep their existing staff.job seekerA 26 percent increase in seasonal recruitment plans opens transitional and entry-level opportunities.HR professionalAI citations account for roughly a fifth of all layoffs announced this year, a reference figure for internal communication.layoffs · United StatesMicrosoft offers voluntary exit packages to about 60,000 employees
Microsoft made a voluntary exit offer to a significant share of its workforce, then priced a $25 billion bond issue to finance AI. Analysts say that in such an AI-efficiency year, vacated positions…
employeeBefore accepting a buyout, consider whether the vacated position will be backfilled with AI and by the team taking over its work.HR professionalHidden headcount reduction (positions not advertised) is now an organisational practice that should be factored into planning.regulation · United StatesNew York City clarifies employer liability for AI-assisted hiring decisions
New York City has clarified that employers are liable for AI-assisted hiring decisions. Legal analyses say that deploying automated tools also raises the risk of disparate-impact and disability-based…
HR professionalSelection outcomes of AI screening tools must be audited; liability cannot be shifted to the vendor.SME ownerEven with hiring software from suppliers, the employer is responsible for the decision.job seekerAn automated decision may give legal grounds for an objection.survey · globalLittle evidence that AI is behind mass job losses or the fall in youth hiring
A Statistics Canada study says AI is not necessarily to blame for the decline in youth hiring. Other analyses find no mass AI-driven layoffs yet, and the IMF's Asia director says the picture is more…
HR professionalBase workforce planning on data, not headlines.managerCheck job cuts attributed to AI, because other factors, such as interest rates and costs, also play a part.employeeFear currently outweighs the measurable impact, but skills are being revalued.layoffs · globalMore tech companies cut jobs, citing AI shift and cost reduction
Pinterest plans to cut up to 15% of its workforce, about 700 people, as resources are redirected to AI roles; Galapagos is cutting 9%, NICE about 5% (roughly 500 people), and Bria 20 of its 60 staff…
employeeIn the tech sector, resources are being shifted to AI roles, so skills close to AI help protect your position.HR professionalAmid the layoff waves, investors are divided on AI-linked cost cuts, which is a communication risk.case · globalWhite-collar workers quit careers over AI fears or seek 'AI-proof' jobs
Reports say a growing number of white-collar workers are leaving their careers because of fear of AI. An Australian NAB employee fears they spent three years training their own replacement in India.
employeeBefore changing careers, assess how automatable the tasks are and the risk of offshoring.HR professionalPremature resignations are a retention risk that transparent communication about AI can reduce.survey · AsiaAI squeezes fresh graduates' prospects across Asia
In Malaysia, fresh graduates struggle to find entry-level jobs despite low unemployment of 2.9%, and AI is squeezing graduates in China too. India's IT lobby chief says graduates may struggle to find…
early-career professionalRoles that require no experience are weakening, so familiarity with AI tools and a practical project are an advantage.HR professionalRethinking university partnerships and entry-level programmes helps protect the talent pipeline.layoffsCanva announces layoffs and job changes affecting 22% of its workforce
The design software company announced layoffs for the first time: 22% of employees will lose their jobs, have their roles changed or be asked to relocate. In August the company cut its 2026 revenue…
employeeRole changes and forced relocation are a softer form of layoff, and you should be prepared for these too.managerWith growth slowing and AI competition rising, cost-side restructuring is now a common step even at tech companies.case · globalAnthropic CEO warns AI could erase a large share of entry-level jobs as company heads to Wall Street
Anthropic is heading to Wall Street, and its CEO is warning about the loss of office jobs. According to one report, AI could affect 50% of white-collar jobs within five years.
early-career professionalLeaders of AI developers say entry-level jobs are the most exposed.managerIn workforce planning, treat the warning as a scenario, not as a fact.In brief
Collections
Hungarian and Central European stories: domestic companies, institutions, surveys, regulation.
Companies that cut headcount citing AI or during their AI transition.
Surveys, research and labour market data on the relationship between AI and work.
Laws, regulatory decisions and lawsuits: AI in the workplace, recruitment and employment law.
Narratives
AI dismantles the bottom rung of the career ladder
AI takes over entry-level tasks, so companies hire fewer new graduates and the junior talent pipeline dries up.
↗ rising · evidence: moderateJob cuts to fund AI investments
Large companies cut labor costs to fund AI infrastructure, so layoffs follow not AI capability but the money spent on AI.
▲ at peak · evidence: moderateAI-washing: layoffs blamed on AI, then rehiring
Companies cite AI during layoffs because it looks better, but then it turns out the AI cannot handle the work, and they rehire staff.
↗ rising · evidence: weakSlow tsunami: mass displacement is coming
AI will eliminate the bulk of white-collar jobs in the coming years, so taxes, protected jobs, and crisis plans are needed now.
↗ rising · evidence: moderateAI is suppressing wages, not headcount
AI's first impact is not layoffs but slowing wage growth and weakening workers' bargaining power.
▲ at peak · evidence: moderateAI skills are the new entry ticket and pay premium
AI proficiency will become a basic requirement; those with it get higher pay and job security, those without fall behind.
▲ at peak · evidence: moderateAI versus AI: a trust crisis in hiring
Candidates' AI-generated materials and companies' AI filters mutually undermine each other, pushing recruitment into a crisis of trust and prompting a return to personal verification.
→ lasting · evidence: strongThe employer is responsible for algorithmic decisions
Recruitment AI is high-risk under the EU AI Act. The employer is responsible for discrimination and the decision. The supplier's liability is contested in lawsuits. California already mandates human decision-making in dismissals.
↗ rising · evidence: moderateThe invisible boss: AI surveillance in the workplace
AI elevates employee monitoring to a new level: it scores, tracks, and evaluates workers, often without their knowledge, requiring transparency and bans.
▲ at peak · evidence: moderateShadow AI: workers outpace the company
Workers are using AI faster and more broadly than their companies allow, often at their own expense and in secret. This creates data leakage risks and a governance vacuum.
↗ rising · evidence: moderateAI brings more work, not less
AI imposes hidden burdens on workers through error correction, oversight, and low-quality content, while company-level productivity lags.
↗ rising · evidence: weakHR becomes the owner of AI transformation
In the age of AI agents, HR evolves from an administrative function to the strategic manager of the workforce and human–machine collaboration.