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Dutch Government Plans to Cut 16 Percent of Its Workforce by 2035 in AI-Linked Efficiency Drive

Martin HollowayPublished 3m ago4 min readBased on 6 sources
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Dutch Government Plans to Cut 16 Percent of Its Workforce by 2035 in AI-Linked Efficiency Drive
source:rijksoverheid.nl

The Dutch cabinet plans to eliminate 25,000 full-time government jobs by 2035, equal to 16 percent of the government workforce, as part of an efficiency drive that includes deploying artificial intelligence. Engadget reported the figures on 26 October 2026.

State Secretary Eric van der Burg described the effort in a letter to parliament as a push to make government "simpler, smart and smaller." The government aims to save 900 million euros by 2027, rising to 3.5 billion euros by 2035. Those savings targets are set out in the government's own announcement, which also says the cabinet intends to present goals and savings plans for deploying AI to make government work more productively in the first quarter of 2027. Police and defence agencies are excluded from the reduction.

The cuts are not evenly spread. Reporting on 20 October 2026 said layoffs would hit civil servants working at three Dutch ministries, and that civil service budgets are set to fall by nearly 30 percent in the Education and Economic areas. NL Times attributed that budget decline partly to the planned cuts of the Jetten Cabinet, which is led by Prime Minister Jetten.

The public-sector plan sits alongside private-sector announcements that cite the same mix of cost pressure and automation. Barclays is cutting around 5,000 jobs, or 5 percent of its workforce, this year as it uses technology such as AI to slash fixed costs (outlays that do not change with output, such as premises and core systems), according to Reuters, which reported the move on 23 October 2026. On 22 October, Reuters reported that Dutch bank DNB planned a reduction of about 400 jobs in October 2026 because of increased AI investments.

The broader context here is that all three employers frame headcount reduction as the counterpart to technology spending, but they measure the effect differently. Barclays and DNB tie their cuts to fixed costs and investment levels. The Dutch government ties its cuts to a multi-year savings schedule and to an efficiency target expressed as a share of its workforce. For a public administration, the 2035 horizon means the reduction depends on processes being redesigned rather than on a single procurement decision, and the AI-specific goals are not due until the first quarter of 2027.

In my view, the most useful test of this plan will be whether the Q1 2027 document separates productivity gains that AI tools are expected to deliver from savings that come from policy choices and budget ceilings. The stated figures combine both. The 900 million euro target for 2027 is near-term and can be checked against budget lines, while the 3.5 billion euro target for 2035 depends on assumptions that have not yet been published in detail. Readers following public-sector automation will want to see how the government defines a productive hour of AI-assisted work and how it measures service levels for citizens during the transition.

The headline numbers leave a workforce question open. Ministries that lose 30 percent of budget in a single policy area will need to decide which functions are automated, which are merged, and which are dropped. The exclusion of police and defence suggests the government sees those functions as outside the efficiency calculus, which narrows the pool of roles where AI-driven redesign is expected to apply.

The optimistic reading is that the same tools could let a smaller civil service handle casework, document drafting and data reconciliation faster than the current workforce does, freeing staff for work that requires judgment. Whether that happens will depend on the detail of the plan due in early 2027, not on the 2035 headline.