Summary
- IPPR is calling for stronger worker rights over how AI is introduced and used in UK workplaces.
- Its proposals include disclosure and consultation duties, a worker support levy, portable benefits, and stronger channels for worker representation.
- The debate reframes enterprise AI adoption as a question of workplace control, job quality, productivity gains, and labour-market resilience.
IPPR has called for stronger worker rights over the deployment of artificial intelligence in UK workplaces, warning that AI could deepen insecurity and inequality if employees have little power over how systems are introduced.
The think tank’s report, Strike while AI is hot: Rebuilding worker power for the age of AI, argues that ministers should require employers to disclose the use of AI to staff and consult, or in some cases negotiate, with workers and trade unions before introducing AI technologies.
IPPR also proposes a worker support levy to fund retraining, representation, and support during AI-driven disruption, alongside a digital portable benefits wallet that could give workers access to training credits, legal support, and collective representation across jobs.
The report draws on worker testimony and survey findings that present a more divided picture of AI adoption than the productivity rhetoric often suggests. IPPR said one in five workers report that AI is already making their job worse, one in 25 say they have lost a job because of AI, and half say they have no say in decisions about AI at work.
The policy argument is not that AI should be kept out of the workplace. IPPR distinguishes between augmentation, where technology supports human labour; degradation, where it intensifies monitoring or worsens work quality; and displacement, where it replaces workers. The outcome, it argues, depends on who has power over adoption.
That framing cuts across the usual enterprise AI debate. Much of the business conversation has centred on efficiency, headcount reduction, software spending, and the gap between pilots and measurable returns. The IPPR report brings governance inside the workplace itself: who chooses the system, who sees the data, who challenges errors, and who receives the productivity gains.
Employers are already using AI in scheduling, recruitment, performance management, customer service, software development, document processing, and administrative workflows. Some systems can remove repetitive tasks and improve output. Others can intensify surveillance, automate weak decisions, or shift risk onto workers without meaningful appeal routes.
The UK government wants faster AI adoption across the economy and public services, creating a policy balancing act between productivity and trust. Rapid deployment without credible workplace safeguards could provoke resistance, undermine adoption, and leave employers exposed to disputes over discrimination, monitoring, redundancy, and accountability.
Worker voice also has practical value during implementation. AI systems often fail when they are imposed on workflows that managers do not fully understand. Frontline staff know where data is messy, where processes rely on judgement, where exceptions occur, and where automation may create new risks.
The report’s stronger proposals, including portable benefits and worker-power organisations, would face political and business pushback. Some employers will see them as additional cost and friction. Yet the underlying issue is unlikely to fade as AI adoption moves from isolated pilots into operational systems, with workers increasingly becoming both the subjects and operators of that change.
The next phase of workplace AI will be judged not only by whether it improves productivity, but by whether employees trust the systems shaping their jobs. Without that trust, the technology may become another source of industrial tension rather than a route to better work.
