AIThis post was created with the assistance of artificial intelligence (AI).

🔍 Read the full analysis: Why Are Governments Considering AI Automation As Jobs Change? on ThorstenMeyerAI.com

Age 18–24?Offer from Amazon

Prime made for students and young adults

  • Fast, free delivery for dorm and study essentials
  • Prime Video and Amazon Music included
  • Member-only deals
Try Prime for Young Adults Free trial for eligible 18–24 year olds
As an affiliate, we earn on qualifying purchases.

TL;DR

Governments and companies are announcing workforce reductions as they seek lower costs, but the available evidence does not show that AI is the main cause in every case. The Dutch government’s own planning warns against overestimating AI’s staffing effects, while some companies explicitly credit AI with taking on work once done by employees.

The Dutch government has told parliament to expect roughly 25,000 fewer central-government full-time positions by 2035, while a Microsoft voluntary-exit offer reported the same day drew attention to workforce reductions at large employers. The announcements have renewed debate over whether organizations are being pushed to automate with AI, but the Dutch plan is chiefly a budget-cutting program, and the evidence supplied does not establish AI as the cause of either workforce change.

A progress letter sent to parliament on October 26 by Dutch State Secretary Eric van der Burg sets out reductions in central-government running costs. The savings rise from €901 million in 2027 to €3.49 billion a year from 2035. The letter describes the estimate of about 25,000 affected full-time positions as rough. Police and defence are exempt, and the plan includes measures such as simpler rules, shared desks, standard IT and joint purchasing, alongside digital tools.

The letter also cautions against treating AI as a reliable source of staff savings. It says, “Do not overestimate the staffing effects of digitalisation and AI.” Earlier digitization and automation, it says, did not deliver the expected reductions in costs and staff; they also brought new tasks, additional capacity needs and more contractors. The government plans to set AI targets and savings plans in the first quarter of 2027, but those plans do not yet establish how many jobs, if any, AI will remove.

The source report also cites staffing pressure in Germany and Hong Kong and workforce reductions or exit offers at companies. Their stated reasons differ. It says Microsoft told a local radio station AI was not driving its offer, while India’s Tata Consultancy Services cited skill mismatches and Japan’s Mizuho said its AI plan was not a headcount-reduction program. By contrast, it reports that Lufthansa linked 4,000 administrative job cuts by 2030 to AI, and that Klarna and Salesforce leaders described AI systems taking on work previously handled by staff.

At a glance
reportWhen: Developments reported October 26, 2026;…
The developmentA reported October 26 Dutch government plan for about 25,000 fewer central-government full-time positions by 2035 has renewed debate about whether budget cuts and corporate workforce reductions signal an AI-driven automation imperative.
Thorsten Meyer AI
Asia · Europe · USA

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.

AI named as a reasonBudget, technology or redeploymentOther reason givenBrake or new rules

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

Budgets Lead the Workforce Debate

The policy question is not simply whether AI can perform tasks once handled by employees. It is whether employers can use it reliably and cheaply enough to change staffing, and whether announced reductions are actually attributable to that technology. The Dutch letter matters because it sets out a large public-sector workforce estimate while warning that past automation did not produce the expected staffing savings. It offers a direct counterweight to claims that digital systems automatically translate into fewer workers.

For employees and taxpayers, the distinction affects how cuts are explained and evaluated. A budget-driven reduction may proceed even if AI has little role; an AI-related reduction can have different implications for training, service quality and accountability. The source report describes some private-sector cases where executives or company documents connect AI to work or headcount. Those examples show that the connection can be claimed, but they do not establish a single cause across governments and industries.

There is also a broader economic concern in the source report: if many employers cut payrolls at once, workers may have less income to spend, reducing revenue elsewhere. That is a possible aggregate effect, not a demonstrated outcome of these announcements. The report says governments including China, California and New York are considering or developing rules related to AI and jobs, reflecting concern about how productivity gains and employment impacts are distributed.

Products Worth Considering

Bose SoundLink Flex (2nd Gen) Portable Bluetooth Speaker, Black
Bose QuietComfort Wireless Noise Cancelling Headphones, Sandstone

Bose QuietComfort Wireless Noise Cancelling Headphones, Sandstone

As an affiliate, we earn on qualifying purchases.

Different Cuts, Different Causes

The phrase “automation imperative” is David Shapiro’s framing, as described in the source report. Shapiro argues that public organizations face pressure from budgets and private companies from shareholders and competition, encouraging them to automate. The report treats this as a proposition to check against organizational documents, not as a confirmed explanation for each staffing decision.

The Dutch plan illustrates why that distinction matters. Its savings package includes administrative and operational changes as well as digitalization, and the government’s own letter recalls that earlier technology did not yield the promised staff savings. It also reports that the central-government bodies covered employed 160,016 full-time equivalents at the end of 2025, about 41% more than in 2018. That comparison describes the workforce’s change over time; it does not by itself show that AI caused the planned reductions.

Other examples in the report point in different directions. It says 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, while describing budget pressures as a central driver. Some firms publicly connect AI with particular tasks or planned reductions; others cited reasons such as skill mismatches or said AI was not behind a workforce measure. These cases are not equivalent, and each attribution depends on the relevant organization’s statements or documents.

AI’s Share of the Cuts

The Dutch estimate is explicitly described as a rough translation of savings into positions; the letter does not say that 25,000 named employees will lose their jobs or that AI will eliminate those positions. The details of how ministries and agencies will meet their targets remain to be worked out. The government’s promised AI targets and savings plans are not due until the first quarter of 2027.

Across the examples, it remains unclear how much AI contributes to staffing reductions compared with budgets, restructuring, changing skill needs or other factors. The source report offers company statements and selected cases, but the information presented does not independently establish the cause of every cut or show a consistent economy-wide effect. Nor does it specify what protections, redeployment plans or retraining support will apply to workers affected by the Dutch reductions.

Dutch Plans Due in 2027

The next stated milestone is the Dutch government’s AI targets and savings plans in the first quarter of 2027. Those plans should clarify whether officials attach specific staffing or financial targets to AI, and how those targets fit into the wider cost-reduction program. The government’s longer-term savings trajectory continues toward €3.49 billion a year from 2035.

For now, the relevant test is what organizations document about the reasons for reductions and what happens after automation is introduced: staffing levels, contractors, workloads and service costs. Until that evidence is available, the announcements support a conclusion of workforce pressure and experimentation with automation, not a blanket finding that AI is driving governments and companies to cut jobs.

Key Questions

Is AI responsible for the Netherlands’ planned 25,000 fewer positions?

That has not been established. The government’s estimate is tied to a broad cost-reduction plan, and its letter cautions against overestimating the staffing effects of AI and digitalization.

When do the Dutch savings take effect?

The planned annual savings rise from €901 million in 2027 to €3.49 billion from 2035. The estimate of about 25,000 fewer full-time positions by 2035 is described as rough.

Are companies also linking job cuts to AI?

Some do, according to the source report. It says Lufthansa linked 4,000 administrative job cuts by 2030 to AI, while other organizations cited different reasons or said AI was not driving their workforce plans.

What is the next Dutch AI-policy milestone?

The government says it plans to set out AI targets and savings plans in the first quarter of 2027. Those details may clarify how AI fits into the wider reductions.

Source: ThorstenMeyerAI.com

You May Also Like

How AI Is Showing Up In European Government Systems

Recent developments in the Netherlands, Britain and Sweden show how governments are using AI in staffing, asylum work and public consultation.

Anthropic’s Claude Verification Effort, Explained In Two Parts

Anthropic and Theorem report Claude proved no-crash properties for 239 entry points, while finding bugs and exposing limits in the method.

Thunderstorm

A severe thunderstorm swept through Chicago today, prompting flash flood warnings and affecting thousands. Details are still emerging.

Mobilised, Not Spent: What’s Left Of Europe’s €200 Billion AI Offensive

Europe aims to mobilise €200 billion for AI, but only a fraction is committed and actual implementation is years away, raising questions about its effectiveness.