Civil Service: Artificial Intelligence Productivity Gains

Lord Howell of Guildford Excerpts

Monday 1st September 2025 Lords Chamber

[Lord Vallance of Balham (Lab)]

It was interesting to see the report from MIT last week on the use of AI across companies, which noted that 95% of companies got very little benefit and 5% got massively disproportionate benefit. One of the reasons why you get much greater benefit is training people properly and allowing there to be proper disruption of existing workflows—so I completely agree with the question. What the noble Lord is talking about is an important part of this, which is why there is a series of schemes across the Civil Service, including the senior Civil Service, both to recruit people with AI skills and to train staff.

[Lord Howell of Guildford (Con)]

My Lords, I declare an interest as a former Minister for the Civil Service—although it was an awfully long time ago. The record shows that the biggest increase in output and productivity in the Civil Service and the biggest fall in numbers in modern times occurred between about 1972 and 1982. Of course, the driving force for that was not so much energy efficiency, although there were attempts to improve that, as removing whole industrial functions from the public sector. The Civil Service numbers fell from about 815,000 down to about 510,000 in 1982. That was an enormous cost. The lesson of that is that, if one really wants to increase productivity and slim the Civil Service, as I believe the Government do, there should be the removal of whole functions from the Civil Service—in this case, the industrial Civil Service—into the private sector.

[Noble Lords]

Question!

[Lord Howell of Guildford (Con)]

The question is: what areas are the Government going to look at now to remove functions from the state sector, which will be the sure way to increase productivity and reduce numbers?

[Lord Vallance of Balham (Lab)]

It is an area where AI is important, because AI does just that. There are certain things AI does to improve the efficiency of what is already done, and certain areas in which it does things that cannot currently be done. Both of those areas will lead to disruption of current workflows. This goes back to my previous answer: the disruption of workflow around AI is the big change management challenge.