🔍 Read the full analysis: How Asia, Europe And The US Are Weighing AI Automation on ThorstenMeyerAI.com
Get hardware and tech essentials 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
Governments and companies across Asia, Europe and the United States are reducing or planning to reduce staff, but the reasons differ. The source material finds that budgets and restructuring account for many cuts, while some companies explicitly link job reductions to AI. How much AI is causing net job losses remains uncertain.
Recent job-reduction plans by governments and companies across Asia, Europe and the United States show mounting pressure to reduce costs, but the available evidence does not support treating every cut as an AI-driven layoff. A review of public documents and company statements finds that budgets and restructuring explain many plans, while a smaller group of employers explicitly credit AI with reducing work or staffing needs.
On October 26, the Dutch government told parliament that spending cuts could translate into about 25,000 fewer full-time positions in central government by 2035. The government’s letter describes that figure as a rough estimate. The savings target for central-government running costs rises to €3.49 billion a year from 2035. The letter lists AI among several possible tools, alongside simpler rules, shared workplaces, standard IT and joint purchasing. It also cautions: “Do not overestimate the staffing effects of digitalisation and AI.”
That same day, Microsoft offered voluntary departures to about 60,000 employees, according to the source report. A Microsoft spokesperson told a local radio station that AI was not driving the offer. The report also cites different explanations elsewhere: India’s largest technology services firm pointed to skills mismatches, while Japan’s Mizuho said its AI plan “is not a headcount reduction.” These examples show why the timing of a cut and the spread of AI do not, on their own, establish a causal link.
Some employers have made a more direct connection. Klarna’s annual report says its AI assistant performs work equivalent to more than 850 full-time agents; the report notes that Klarna’s workforce fell from 4,352 to 2,831 over two years. Lufthansa has linked plans to cut 4,000 administrative jobs by 2030 to AI. Salesforce chief executive Marc Benioff said AI agents allowed the company to reduce support staffing from 9,000 to about 5,000. These statements are company claims about AI’s role; they do not by themselves establish how much of each reduction resulted from automation rather than other changes.
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 AI Job Claims Matter
The distinction matters to workers, employers and policymakers because the cause of a job cut affects what can address it. If roles are removed because a budget has been reduced, retraining alone may not preserve those jobs. If tasks are automated, workers may need different skills, while employers and governments must decide how to manage displaced staff and share productivity gains.
The source report also points to a broader economic risk: one employer’s cost savings can reduce wages or employment, and those lost paychecks can mean less spending at other businesses. That does not prove a net loss across the whole economy, but it highlights why aggregate effects cannot be inferred from a single company’s announcement. In the United States, the report cites estimates from economists at MIT and Boston University that the effective tax burden is 25.5% to 33.5% on labor, compared with about 5% on equipment and software after the 2017 tax reform. Those estimates describe a policy incentive, not proof that a particular employer automated jobs for tax reasons.
Evidence cited in the report also suggests a gap between public messaging and measured effects. US employers named AI in about one in five announced job cuts this year, while a survey found only 4% of New York-region service firms using AI had laid off workers because of it. The figures measure different things and should not be treated as directly comparable: one tracks announcements citing AI, the other firms reporting AI-caused layoffs.
Products Worth Considering
Logitech MX Keypad Programmable Macro Pad, Graphite
Apple MacBook Pro 14.2 with M5 Pro Chip, 18-Core CPU / 20-Core GPU, 64GB RAM, 1TB SSD, Silver
LG UltraGear 45GX900A-B 45-Inch Curved OLED Gaming Monitor
As an affiliate, we earn on qualifying purchases.
Budgets, Automation and Job Plans
David Shapiro, a YouTuber and author, calls the pressure on organizations to become more efficient the “automation imperative.” His argument is that governments face budget pressure and companies face shareholder and competitive pressure, encouraging both to reduce labor costs. He also says automation advances when machines can perform tasks at an acceptable cost and level of risk. This is a framework and interpretation, not a finding that all current job reductions are caused by AI.
The Dutch government’s own record offers a caution against assuming that digital tools automatically reduce staffing. Its October letter says earlier digitization and automation brought new tasks, additional capacity needs and more contractors, rather than the promised savings in staff and costs. The government plans to set AI targets and savings plans in the first quarter of 2027, but its current job estimate is tied to a wide-ranging spending plan, not solely to AI.
The report identifies other public-sector plans in Germany and Hong Kong: Germany aims for at least 8% fewer federal staff by 2029, while Hong Kong is cutting 2% of civil-service posts in each of two years. It also says China, California and New York are developing rules related to AI and jobs. These examples point to policy attention, but do not establish that AI is the cause of the reductions or that the rules have taken effect.
“Do not overestimate the staffing effects of digitalisation and AI.”
— Dutch government progress letter to parliament
How Much AI Is Causing Cuts
The source material does not establish how many jobs have been eliminated specifically because of AI across the three regions. Company statements identify some links, but they do not isolate AI from restructuring, changes in demand, outsourcing or other cost measures. The cited statistics also use different populations and definitions, so they cannot be combined into a single estimate of AI-driven job losses.
It is also unclear whether planned reductions will occur as announced, how many affected workers will leave voluntarily, and whether other roles will be created. The Dutch figure of roughly 25,000 positions is an estimate, not a confirmed count of completed layoffs. The report’s examples are selected cases rather than a complete regional survey.
Plans and Rules to Watch
The next stated milestone in the Dutch plan is the government’s promised AI targets and savings plans in early 2027. Those documents may clarify whether officials expect specific reductions from AI or continue to treat it as one tool within broader administrative reforms. The government’s estimated staffing impact will also need to be judged against actual employment changes over time.
For companies, further disclosures may show whether AI-related staffing claims translate into sustained reductions, changes in job duties or new hiring elsewhere. Policymakers in the United States and China, as well as California and New York, are considering or writing rules about AI and employment, according to the report. The details and effects of those measures remain to be seen. For now, the clearest conclusion is that cost-cutting pressure is documented, while AI’s share of resulting job losses is still difficult to measure.
Key Questions
Are the job cuts in these examples all caused by AI?
No. The report attributes many plans to budgets, restructuring or skills mismatches. Some employers have directly linked reductions to AI, but the evidence does not show that AI caused every cited cut.
What did the Netherlands announce?
The government told parliament that spending reductions could mean about 25,000 fewer central-government full-time positions by 2035. It calls this a rough estimate and says AI is one of several possible tools.
What is meant by the “automation imperative”?
It is David Shapiro’s term for the pressure he says pushes public and private organizations to automate to control costs and remain competitive. It is his interpretation, not a confirmed explanation for every workforce reduction.
What evidence links AI to specific company cuts?
The report cites statements by Klarna, Lufthansa and Salesforce that connect AI with work or staffing reductions. Those are company claims and do not, on their own, separate AI’s effect from other factors.
When could there be more information?
The Dutch government said it plans to set AI targets and savings plans in the first quarter of 2027. Additional company disclosures and policy decisions may offer more detail, but no common measure of AI-caused job losses is provided in the source material.
Source: ThorstenMeyerAI.com
