AI Leaves the Screen: Governing the Convergence of Agentic AI and Robotics

Gartner predicts that 15% of all work decisions will be taken autonomously by AI between now and 2028, rising from 0% in 2024, and that 33% of enterprise applications will include agentic capabilities from the same period. According to Deloitte's 2026 survey of 3,237 leaders in 24 countries, 74% of enterprises expect to deploy agentic AI in the next two years and 58% are already using physical AI in production. 21% have a mature governance model for autonomous agents. The next wave of adoption risk is going to fall on warehouse floors, payment rails and hospital wards for the UK. Governance for recommending AI will not govern acting AI.

Gartner predicts that between now and 2028, 15% of all decisions made every day will be made independently by AI, rising from 0% in 2024, and that 33% of enterprise applications will incorporate agentic features during the same timeframe. According to a study by Deloitte of 3,237 leaders from 24 countries, 74% of enterprises are expected to use agentic AI within two years, while 58% have already implemented physical AI in production. 21% have a mature governance model for autonomous agents. In the UK, the next wave of adoption risk will come on the floor of a warehouse, the payment rail, the ward of a hospital. Governance for recommending AI will not govern acting AI.

AI is already making its way off the screen.

There are examples in the UK of execution at scale. Ocado has over 3,000 robots in each fulfilment centre, 65 orders are completed per second with 99.5% accuracy and 50,000 orders are assembled in 5 minutes on a five millimetre clearance grid. The research base is anchored by the National Robotarium at Heriot-Watt. Internationally, Amazon has deployed more than a million warehouse robots in more than 300 centres, Waymo has logged 170 million miles driven in the first quarter as a rider only, with 91% fewer serious injury crashes than human benchmarks, and Intuitive Surgical deployed 431 da Vinci systems in one quarter. AI is already operational at an industrial level. The question is, will the UK's operating model be ready for it?

The governance velocity gap

The desire to adopt is greater than governance capacity and the gap is measurable. In fact, 68% of production agents stop after 10 steps or less without needing human intervention, according to LangChain's State of Agent Engineering. According to EY and the AIUC-1 Consortium, 80% of businesses have identified risky agent behaviours, while 17% monitor agent-to-agent interactions on a regular basis and 38% end-to-end monitor AI traffic. The compounding maths isn't kind: if a company has 20 steps in a workflow, and each one has a 95% chance of success, the end-to-end success rate is just 36%, and that's why 64% of businesses with revenues exceeding £1 billion reported losses exceeding £1 million due to AI failures in 2025. The OECD's AI Incidents Monitor now has over 14,000 entries and the framework now explicitly acknowledges the harm of two or more AI systems interacting.

The UK has a strong approach when it comes to AI that recommends, with its principles-based, sectoral approach. It is less well-suited to AI that cuts across sectoral boundaries. Orchestration agents and autonomous mobile robots and humanoids traverse the ICO on data, the HSE on worker safety, the MHRA where devices are health-adjacent, the FCA and PRA where execution is on financial rails, and Ofcom on infrastructure on a single warehouse floor. The seam is not the responsibility of any one regulator. The trend I see in fast automation and digitisation activities in the national operational networks is always the same: governance is always behind the execution, and it is always an incident before it is a policy. It's no longer the frontier of AI that decides. This is what AI should be allowed to do.

The five pillars of AI governance are:

The next 24 months

The UK's principles-based approach is a good one, but that doesn't apply to robots in warehouses, agents on payment rails, or humanoids in hospitals. The DSIT Blueprint, the FCA Mills Review and the Bank of England's FPC agentic-AI ask all draw the same conclusion. The operating model is the next 24 months of policy work. Before agentic AI scales, it is techUK members, regulators and enterprises who should build it together.

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