TL;DR
Giving evidence to MPs on 4 November, health secretary Yvette Cooper said AI could lower staffing needs in parts of the NHS, and confirmed the 10-year workforce plan will not appear until the new year. She named no roles and announced no cuts. For anyone planning NHS services or training, it shows a health secretary treating AI as a reason to plan differently.
What she said
Her answer was a statement about uncertainty rather than a forecast. Technology, she argued, “will lead to us wanting to increase certain areas but also to potentially reduce certain areas as well”. She gave no more precise publication date for the plan, which had been expected this year.
Cooper also questioned the premise of long-range modelling. “Part of what we need to do is have some humility around the idea that a 10-year plan, the idea that we can predict what we’re going to need in 10 years, is actually just so much harder now than it was even just two or three years ago,” she told MPs. She floated clearer signals to training providers about where more staff are needed, with modelling continuing alongside.
The areas she said need growth included GP services, community care, and speech and language therapy, in keeping with the government’s aim of moving care away from hospitals.
The context around it
The call for evidence on this plan opened in September 2025, and sought views on digital initiatives and productivity. NHS England said in June 2026 that it was rolling out Copilot to 505,000 staff, after a trial which it said saved each person 43 minutes a day.
Doctors have already pushed back: we covered the BMA’s criticism of the draft plan in May. A separate review of AI and NHS productivity, ordered in the Budget, is still to come.
Looking Forward
In our view, the risk is that “humility” about forecasting becomes a reason to postpone hard decisions on training places, which take years to feed through. Trusts and education providers should expect signals rather than firm numbers for now. The test in the new year will be whether the plan says which roles AI is assumed to change, and on what evidence, rather than leaving that assumption buried in the totals.