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ARTICLE · 25 SEPTEMBER 2026

If AI Can Measure Everything, What Should We Actually Reward?

Burges Salmon LLP
Burges Salmon LLP
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Burges Salmon LLP

Burges Salmon LLP

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As artificial intelligence becomes embedded in everyday business operations, organisations face a critical shift in how they measure and reward performance. While better data promises more precise incentive systems, the ability to observe everything may create more problems than it solves, particularly when prediction is mistaken for causation and measurement begins to distort the very behaviours it seeks to encourage.

GlobalEmployment and HR

For the past few years, companies have treated AI as something employees and executives need to adopt. That made sense while the technology was new: people had to experiment with it, processes had to be redesigned and organisations wanted evidence that management was taking the opportunity seriously.

Some employers have even put money behind that objective. The law firm Shoosmiths, for example, set a collective target of one million Microsoft Copilot prompts, with achievement making an additional £1 million available to its firmwide bonus pool, subject to the firm’s financial performance. The target was reached four months early. Its next initiative moved on from simple usage towards AI fluency and accreditation.

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