🔍 Read the full analysis: AI And Public Sector Change: Comparing Asia, Europe And The US on ThorstenMeyerAI.com
Get business pricing on monitors, keyboards and dev gear
- Business-only prices and quantity discounts
- Tax-exempt purchasing
- Multiple users, one account, clear invoices
TL;DR
A review of government plans and company statements across Asia, Europe and the United States finds widespread pressure to reduce staffing, but AI is not consistently the stated cause. The evidence points to a more qualified picture: budgets and restructuring often drive cuts, while some companies explicitly link AI to fewer jobs and broader employment effects remain uncertain.
A comparison of staffing plans across Asia, Europe and the United States finds governments and companies under pressure to reduce costs, but the available documents do not support treating every cut as an AI-driven layoff. The report, published October 31 by ThorstenMeyerAI.com, says budgets and restructuring are often the stated reasons, while a smaller set of companies explicitly credit AI with reducing the need for workers.
In the Netherlands, a government letter to parliament dated October 26 set out cuts to central-government running costs that rise to €3.49 billion a year from 2035. The letter translated those savings into roughly 25,000 fewer full-time positions, describing that staffing figure as a rough estimate. It also cautioned against attributing expected reductions to technology: “Do not overestimate the staffing effects of digitalisation and AI.” The plan includes measures such as simpler rules, shared workspaces, standard information technology and joint purchasing, with AI one tool among several.
The source report says the same-day announcement of a voluntary employee exit offer by Microsoft was a useful comparison, but not proof of a shared cause. It reports that a Microsoft spokesperson told a local radio station that AI was not driving the offer. Other examples in the report also point to varied explanations: India’s largest technology-services firm cited skill mismatches, while Japan’s Mizuho said its AI plan “is not a headcount reduction.”
Some companies have made a more direct connection between AI and staffing. According to the report, Klarna’s annual report said its AI assistant performs work equivalent to more than 850 full-time agents; the company’s reported staff count fell from 4,352 to 2,831 over two years. Lufthansa has linked a plan to cut 4,000 administrative jobs by 2030 to AI, and Salesforce’s chief executive said AI agents allowed the company to reduce support staff from 9,000 to about 5,000. Those company statements describe their own plans and assessments; they do not, on their own, establish how much of each change 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
Why Job Cuts Are Not All AI Cuts
The distinction matters to workers, public-service users and policymakers. If a government reduces staff because it has less funding, or a company reorganizes because its skills no longer match demand, describing the change as automation can misstate what happened. It can also obscure which policy response is relevant: workforce planning and retraining address different problems from technology-related displacement.
At the same time, individual employers’ decisions can add up. The report argues that when many organizations reduce payrolls at once, workers’ lost income can also mean lower consumer spending and less revenue for other businesses. That is a possible economy-wide consequence, not a measured outcome established by the staffing examples cited here. The debate is already prompting policy activity: the source says China, California and New York are writing rules related to AI and jobs.
In the United States, the report cites research by economists at MIT and Boston University estimating an effective tax rate of 25.5% to 33.5% on labor, compared with about 5% on equipment and software after the 2017 tax reform. The authors’ estimate supports an argument that tax policy can shape employers’ choices, but it does not show that a particular job reduction was caused by that difference.
Popular right now
TCL T7 Series 85-Inch 4K 144Hz QLED Smart Google TV
Dyson Car+Boat Cordless Handheld Vacuum
Shark PowerDetect Corded Stick Vacuum, Self-Cleaning (Eggplant, HZ4002)
As an affiliate, we earn on qualifying purchases.
Different Pressures Across Regions
The report uses the phrase “automation imperative” from YouTuber and author David Shapiro to describe the pressure organizations face to pursue efficiency. In his account, public bodies face budget constraints, while private firms face shareholder expectations and competition. Shapiro also argues that labor costs, technology capabilities and risk shape whether automation is adopted. These are his interpretation and framework, not a finding that every organization is compelled to automate or that AI can replace every affected role.
Across the regions covered, the source identifies different forms of cost pressure. Germany plans at least 8% fewer federal staff by 2029, while Hong Kong is reducing civil-service posts by 2% in each of two years. The Dutch plan sets out savings across central government and exempts police and defence. These figures describe planned or announced changes, not completed job losses, and they do not identify AI as the cause.
The report also notes that the evidence on AI-related layoffs is mixed. It says US employers named AI in about one in five announced job cuts this year, but cites a separate finding that only 4% of New York-region service firms using AI laid off workers because of it. The measures have different scopes: one concerns employers’ stated reasons in announced cuts, the other firms in a regional service-sector survey. Neither number alone establishes the total employment effect of AI.
How Much AI Drives Reductions
The examples do not provide a consistent measure of how many jobs have been eliminated specifically because of AI. Some figures are announced targets, some are company descriptions of AI capabilities, and others are headcount changes over multiple years. They cannot be combined into a single regional estimate of AI-related job losses.
It also remains unclear how many planned cuts will be carried out, whether affected workers will be replaced through hiring in other roles, and how much AI contributes alongside budget reductions, changing demand or organizational restructuring. The Dutch government’s own letter warns that earlier technology projects did not yield the staffing savings once anticipated. Company statements about AI-driven productivity are attributable claims, not independent assessments of causation.
Plans and Evidence to Watch
The Dutch cabinet said it would set out AI targets and savings plans in the first quarter of 2027. Those plans may show more clearly how the government intends to connect technology use with service delivery and staffing, although the current letter does not establish that AI will account for a particular share of the cuts.
For readers tracking the wider employment effects, the next useful evidence will be implementation data: actual staffing changes, the reasons employers give, and whether productivity gains translate into fewer roles, different roles or expanded services. Until comparable figures are available across countries and sectors, announcements should be read as evidence of pressure to cut costs—not as proof that AI is the main cause.
Key Questions
Does the report find that AI is causing government job cuts across these regions?
No. It describes staffing reductions and cost plans, but says budgets are often the stated driver. The Dutch government letter specifically warns against overestimating the staffing effects of AI and digitization.
What did the Netherlands announce?
The government set out central-government running-cost reductions rising to €3.49 billion a year from 2035, with a rough estimate of about 25,000 fewer full-time positions. The plan includes measures beyond AI, and the jobs figure is an estimate rather than a confirmed count of future layoffs.
Which companies explicitly linked AI to staffing changes?
The source report says Lufthansa linked 4,000 planned administrative job cuts by 2030 to AI, while Salesforce’s chief executive attributed a reduction in support staff to AI agents. Klarna also described its AI assistant as doing work equivalent to more than 850 full-time agents. These are company statements and do not independently establish AI’s share of each staffing change.
What is the main evidence gap?
There is no comparable measure across the examples showing how many actual jobs were lost specifically because of AI. Announced reductions, reported headcounts, survey findings and claims about AI productivity measure different things.
Source: ThorstenMeyerAI.com
