🔍 Read the full analysis: How The AI Automation Question Varies Across Asia, Europe And The US on ThorstenMeyerAI.com
Get smart everyday buys delivered free with Prime
- Fast, free delivery on millions of items
- Prime Video, Amazon Music and more included
- Member-only deals all year
TL;DR
A source review of public-sector plans and company announcements across Asia, Europe and the US finds that organizations face pressure to reduce costs, but many cuts are attributed to budgets, restructuring or skills mismatches rather than AI. Some companies explicitly link AI to lower staffing, while the overall employment effect remains uncertain and varies by organization.
A review of workforce and budget plans across Asia, Europe and the United States finds that organizations face growing pressure to cut costs, but the evidence that AI is driving most job reductions is uneven. The report contrasts government spending plans with company restructuring and concludes that many announced cuts are tied to budgets or organizational changes, while a smaller group of firms explicitly credits AI with reducing staffing needs.
The comparison was prompted by two announcements on October 26: the Dutch government told parliament its budget plan could mean roughly 25,000 fewer central-government full-time positions by 2035, and Microsoft offered a voluntary exit to about 60,000 employees, according to the source report. The events occurred on the same day, but that timing does not establish a shared cause. Microsoft said through a spokesperson that AI was not driving its offer; the report does not provide further details about the company’s stated rationale.
The Dutch plan is primarily a cost-reduction program. A parliamentary progress letter says central-government running-cost cuts rise from €901 million in 2027 to €3.49 billion annually from 2035. The employment figure is described in the letter as a rough estimate. Its listed measures include simpler rules, shared offices, common IT systems and joint purchasing, with AI one tool among several. Police and defence are exempt from the reductions.
The report also cites examples where companies do connect staffing changes to AI. Klarna’s annual report says its AI assistant performs work equivalent to more than 850 full-time agents; the company’s workforce fell from 4,352 to 2,831 over two years. Lufthansa has linked 4,000 administrative job cuts by 2030 to AI, while Salesforce chief executive Marc Benioff said AI agents allowed the company to reduce support staff from 9,000 to about 5,000. These statements are company claims, and the cited figures alone do not establish how much of each reduction was caused by AI.
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.
Powered by Thorsten Meyer AI
Cost Pressure Is Not Proof of AI Job Losses
The distinction matters to workers, employers and policymakers because an announced job reduction is not automatically an AI-driven cut. If organizations attribute reductions to automation without separating AI’s effect from budget limits, restructuring or changing demand, readers can get an inaccurate picture of how quickly the technology is replacing work.
The report’s central implication is that the pressure to lower costs is clearer than AI’s role. Governments may be responding to fiscal constraints, while companies may be reacting to competition, investor expectations or internal changes. AI can be part of those decisions without being their sole cause. This makes the regional comparison useful, but it also limits what can be concluded about a single global trend.
There may also be effects beyond the organizations making cuts. The report argues that, if many employers reduce payrolls at once, workers’ lost income could weaken spending elsewhere. That is a possible economy-wide concern, not a measured outcome established by the examples presented. The source points to policy debates in China, California and New York as evidence that governments are beginning to address employment consequences of AI, though it does not detail the provisions of those rules.
Products Worth Considering
Dell 34-Inch S3425DW Curved WQHD USB-C Monitor
Canon SELPHY CP1500 Wireless Compact Photo Printer (Black)
Apple iPad Air (2025) 13‑inch Wi‑Fi 256 GB – Space Gray (M3 chip)
As an affiliate, we earn on qualifying purchases.
The Dutch Plan Tests the Automation Claim
David Shapiro, a YouTuber and author, calls the pattern he describes the “automation imperative”: organizations face pressure to produce results with fewer resources, whether the pressure comes from government budgets or private-sector competition. He argues that labor costs encourage labor-saving technology and that US tax rules favor equipment and software over workers. This is Shapiro’s framework, not a finding that every organization is automating or that AI is responsible for every cut.
The source report says it checked examples from Shapiro’s video against original documents and public statements. The Dutch parliamentary letter offers a notable counterpoint: it says officials should “not overestimate the staffing effects of digitalisation and AI.” According to the letter, earlier digitization and automation efforts did not deliver expected savings in staff and costs; they also created new tasks and demand for capacity and contractors.
Other examples in the report also complicate a simple automation narrative. Germany plans at least 8% fewer federal staff by 2029, and Hong Kong is cutting 2% of civil-service posts in each of two years. India’s largest technology-services firm cited skill mismatches rather than AI productivity gains, while Japan’s Mizuho said its AI plan “is not a headcount reduction.” These cases show that similar workforce changes can have different stated causes.
“Do not overestimate the staffing effects of digitalisation and AI.”
— Dutch government progress letter to parliament
How Much Work AI Actually Replaces
The examples do not establish a comparable measure of AI-caused job losses across the regions. Companies and governments use different definitions, time periods and reporting practices, and a workforce decline may reflect several factors at once. The source report does not provide a common method for separating AI’s contribution from other causes.
Some figures are estimates or plans rather than completed reductions. The Netherlands describes its 25,000-position figure as a rough estimate, while other announced targets extend through 2029 or 2035. The report also cites data suggesting employers named AI in about one in five announced US job cuts this year, but says only 4% of New York-region service firms using AI laid anyone off because of it. The figures refer to different measures; the source does not give enough detail here to treat them as directly comparable.
It remains unclear how many affected workers will find other roles, whether AI will create enough new work to offset reductions, and how much announced automation will produce lasting savings. Company claims about AI productivity are not, by themselves, independent evidence of net employment effects.
Watch for Plans and Employment Data
The Dutch government’s next stated milestone is the publication of AI targets and savings plans in the first quarter of 2027. Those plans may clarify what work officials expect AI to change, though they will not by themselves show how many jobs are ultimately removed or reassigned.
For the broader regional picture, the next useful evidence will be implementation: whether announced staffing targets are reached, how organizations explain changes in their workforces, and whether independent data can distinguish AI-related reductions from budget cuts and restructuring. Until that evidence is available, the strongest supported conclusion is that cost-cutting pressure is widespread, while AI’s direct role remains case-specific and unsettled.
Key Questions
What does “the automation imperative” mean?
It is David Shapiro’s description of pressure on organizations to reduce costs and automate work. It is a framework for interpreting events, not proof that AI is causing every workforce reduction.
Is AI confirmed as the reason for the Dutch government cuts?
No. The Dutch plan is presented as a budget and operating-cost reduction. The government lists AI among several possible tools and warns against overestimating its staffing effects.
Did Microsoft say AI caused its voluntary-exit offer?
No. According to the source report, a Microsoft spokesperson said AI was not driving the offer. The report does not provide a fuller account of the company’s reasons.
Which companies in the report link AI to staffing reductions?
The report cites Klarna, Lufthansa and Salesforce as companies that have connected AI with work or staffing reductions. Those are company statements; the cited figures do not isolate AI’s contribution from other factors.
Can the examples show how many jobs AI will eliminate across Asia, Europe and the US?
No. The examples use different time frames and measures, and many reductions are attributed to budgets, restructuring or skills mismatches. The report says the overall employment effect remains unclear.
Source: ThorstenMeyerAI.com
