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TL;DR
The Netherlands’ plan to reduce central-government running costs includes a rough estimate of 25,000 fewer full-time positions by 2035, while other public and private employers are also cutting staff. The source material finds that budgets and restructuring explain many reductions; evidence that AI directly caused them is mixed, and several organizations reject that link.
The Dutch government says budget cuts could mean about 25,000 fewer central-government full-time positions by 2035, but its own letter cautions against assuming that artificial intelligence will deliver those staffing reductions. The announcement, alongside workforce changes at companies including Microsoft, has revived a broader question: whether AI is driving job cuts or is being discussed alongside reductions caused by budgets and restructuring.
In a progress letter to parliament dated October 26, State Secretary Eric van der Burg described plans to make government “simpler, smarter and smaller.” The reductions in central-government running costs, set by successive cabinets, rise from €901 million in 2027 to €3.49 billion a year from 2035. The corresponding figure of around 25,000 full-time positions is explicitly described in the letter as a rough estimate, not a confirmed list of planned redundancies.
The plan targets ministries, inspectorates and agencies, which employed 160,016 full-time equivalents at the end of 2025. Police and defence are exempt, and the letter describes reductions that vary among organizations. It lists possible measures including simpler rules, shared desks, standard information technology and joint purchasing. AI is one tool among these; the government says it will set ambitious AI targets and savings plans in the first quarter of 2027.
The letter also records a warning from earlier government cost-cutting efforts: “Do not overestimate the staffing effects of digitalisation and AI.” According to the document, digitization and automation did not produce the promised savings in staff and costs; instead, they brought new tasks, additional capacity and more contractors. That account complicates any claim that the current workforce estimate is an AI-driven target.
Infographic 01 · The world map
Who is shrinking, and what reason they give
Sixteen public and private organizations. Budgets set most of the numbers. AI is named as the reason less often than the headlines suggest.
Europe
EU members first
- NetherlandspublicBudget
≈ 25,000 fewer full-time jobs by 2035, a rough estimate behind a €3.49B yearly cut. Letter warns not to overestimate AI.
- GermanypublicAI a tool
At least 8% fewer federal staff by 2029. AI as a means, plus missing workers.
- DenmarkpublicRedeploy
AI to free ≥ 50M hours, ≈ 30,000 full-time jobs, by 2035. For shortages and quality.
- LufthansaprivateAI named
≈ 4,000 admin jobs by 2030, citing digitalization and AI.
- KlarnaprivateAI named
Staff 4,352 → 2,831 (2023–25). AI assistant: work of 850+ agents (estimate).
Asia
public and private
- Hong KongpublicBudget
−2% of civil service posts in 2026-27 and 2027-28; > 10,000 posts this term.
- ChinapublicBrake
Cautious pace for AI in labor-intensive industries; advance warning encouraged.
- Mizuho · JapanprivateRedeploy
AI to take over the work of ≈ 5,000 of ≈ 15,000 clerical jobs in 10 years. “Not a headcount reduction.”
- DBS · SingaporeprivateAI named
≈ 4,000 temporary and contract roles not renewed over 3 years (announced Feb 2025).
- TCS · IndiaprivateNot AI
≈ 12,000 jobs, about 2% (2025). CEO: skill mismatch, not AI productivity gains.
United States
public and private
- Federal agenciespublicNot AI
≈ −256,000 staff, more than 11%, Dec 2024–Jan 2026. Directives, buyouts, hiring limits.
- CaliforniapublicNew rules
Order N-6-26: study AI’s job effects, reform layoff notices. No ban.
- MicrosoftprivateNot AI
≈ 60,000 exit offers, about 27% of staff. Spokesperson: AI not driving it.
- AmazonprivateLayers
16,000 corporate jobs (Jan 2026) after 14,000 (Oct 2025). Layers, culture.
- SalesforceprivateAI named
Support staff ≈ 9,000 → 5,000, CEO says, as AI agents handle half of chats.
- KrogerprivateTechnology
≈ 3,000 corporate jobs over 3 years. Memo: “Technology is reshaping what’s possible.”
Reasons as stated by each organization or, where marked, as reported. A category is a summary, not a verdict on the real cause.
Sources: Dutch letter to parliament, 26 Oct 2026, German Digital Ministry, Danish AI taskforce, Lufthansa, 29 Sep 2025, Klarna Form 20-F, Hong Kong Civil Service Bureau, 16 Mar 2026, State Council, gov.cn, 23 Oct 2026, Mizuho via Bloomberg, DBS via Fortune, TCS statement, GAO-26-108583, California EO N-6-26 (Akin Gump summary), Microsoft via KUOW, Amazon via CNBC, Salesforce via Fortune, Kroger via Fortune. Translations by Thorsten Meyer.
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Budget Cuts Are Not AI Job Counts
The distinction matters because a workforce reduction can have several causes, even when an employer is adopting AI. If budgets set the number of posts to remove, describing the cuts as automation-driven may overstate what the technology has actually changed. It also makes it harder for workers and the public to judge whether AI is replacing tasks, supporting existing staff or simply appearing in plans to reduce spending.
The source material describes different explanations across employers. Microsoft offered a voluntary exit to roughly 60,000 employees, but a spokesperson told a local radio station that AI was not driving the offer. India’s largest technology-services firm cited skill mismatches, and Japan’s Mizuho said its AI plan “is not a headcount reduction.” By contrast, some companies have linked specific workforce changes to AI: Lufthansa connected 4,000 administrative job cuts by 2030 to AI, while Salesforce’s chief executive said AI agents allowed the company to reduce support staffing. These are employer statements, not proof that AI alone caused every reduction.
The wider economic question is whether many employers cutting labor at once could reduce household income and, in turn, demand for other businesses. That is a potential consequence, not an established outcome of the Dutch plan. The source also points to policy debates in China, California and New York over AI and employment, reflecting concern about how the costs and gains of automation are shared.
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How the Automation Claim Is Tested
The “automation imperative” is a phrase used by YouTuber and author David Shapiro for the idea that organizations face pressure to automate: governments seek savings, while companies face shareholders and competitors. Shapiro argues that labor costs, technology and tax incentives can reinforce that pressure. This is his framework, not a finding established by the Dutch letter.
The source article says it checked examples from Shapiro’s video against original documents and added organizations from Asia, Europe and the United States. It reports both cases that appear to connect AI with staffing changes and cases where employers or official documents give other reasons. For example, Klarna’s annual report says its AI assistant does work comparable to more than 850 full-time agents, while its reported staff count fell from 4,352 to 2,831 over two years. Those figures show a change over the same period; by themselves, they do not establish how much of the reduction AI caused.
The evidence cited also points to a gap between public discussion and measured effects. The source reports that US employers named AI in about one in five announced job cuts this year, while only 4% of New York-region service firms using AI said they had laid anyone off because of it. The measures cover different populations and should not be treated as directly comparable rates. They suggest that announcements naming AI do not, on their own, show how widely the technology has already caused layoffs.
“Every organization is under constant pressure to be efficient.”
— David Shapiro, describing his “automation imperative” argument
What the 25,000 Estimate Includes
The Dutch figure is a rough estimate of positions associated with planned spending cuts, not a final count of layoffs or named posts. The letter does not establish how many reductions will come through vacancies, reorganized work, contractors, departures or other measures. It also does not quantify how much AI will contribute to any eventual staffing changes.
Across the company examples, the material does not provide a consistent method for separating AI’s effects from budget reductions, changing demand, restructuring or mismatches in employee skills. Employer statements and reported staffing totals can indicate what organizations say is happening, but they do not independently establish causation. The scale of future job displacement, and whether productivity gains will create other roles, remain unclear.
Dutch Savings Plans Due in 2027
The Dutch government says it plans to present AI targets and savings plans in the first quarter of 2027. Those plans may show whether officials attach specific staffing reductions or service changes to AI, or continue to treat it as one part of a broader cost-cutting program. Parliament and the public can also compare later staffing outcomes with the current rough estimate.
For other employers, the clearest evidence will come from detailed disclosures explaining which tasks changed, how many positions were affected and what role AI played relative to other causes. Until such information is available, the confirmed development is a set of workforce and budget decisions accompanied by competing explanations—not proof that automation is the principal driver of government job cuts.
Key Questions
Has the Netherlands confirmed 25,000 layoffs?
No. The government letter gives about 25,000 fewer full-time positions by 2035 as a rough estimate tied to spending cuts. It does not confirm 25,000 layoffs or specify how the reductions would be achieved.
Does the Dutch plan say AI is causing the cuts?
No. AI is listed among possible tools, alongside measures such as simpler rules and shared services. The letter warns against overestimating AI’s staffing effects and says earlier digitization did not produce expected staff savings.
Are companies attributing job reductions to AI?
Some are, according to the source material. Lufthansa linked 4,000 administrative cuts by 2030 to AI, and Salesforce’s chief executive described reduced support staffing alongside AI agents. Other employers cited different reasons or said their AI plans were not headcount reductions.
What would show whether AI caused a workforce reduction?
Useful evidence would identify the roles and tasks affected, give a clear time period and explain how the employer separated AI’s impact from budget changes, restructuring and shifts in demand. The source material says such evidence is not consistent across the examples.
Source: ThorstenMeyerAI.com
