Britain's driverless dream raises awkward questions on jobs and supplier risk

As robotaxis continue trials in London, the Institute for Driverless Transport says the UK must answer serious questions before pushing further with autonomous vehicles. The independent research group highlights risks around supplier failure and the impact on professional driving jobs. It also points to a broader need to plan for AI's effect on the labor market and local infrastructure.

Questions on sovereignty and jobs

The Institute for Driverless Transport asks whether Britain could become dependent on autonomous vehicle services for key activities, and what fallback options would exist if a supplier fails or withdraws. It also asks how much professional driving forms part of the UK's employment safety net, and how that function could be recreated if demand for professional drivers falls significantly.

Research and industry activity

The group's research draws on work with operators trying to bring autonomous vehicles to London and regulators responsible for policy. It also relied on more than 30 conversations with councils, operators, industry, unions, charities, insurers, lawyers and universities. James Hutt, co-founder of the institute, said the issue reaches into jobs, public services, the built environment and national resilience, and that the people who know those areas best are rarely part of the conversation about autonomous vehicles.

Trials and next steps

In August, Transport for London granted private hire licences to autonomous vehicle operators, provided that a human driver is present during journeys. Wayve and Uber have since launched self-driving rides in the UK capital with 15 electric Ford Mustangs equipped with the Wayve AI driver and a safety driver on board. Wayve also demoed a Nissan LEAF running the Wayve AI Driver using NVIDIA DRIVE Hyperion. The institute notes that Waymo and Baidu are preparing services for London, while Uber, Pony.ai and Verne have begun testing in Manchester. It says UK authorities still need to answer a long list of questions to shape long-term infrastructure plans and prepare for AI's impact on the labor market, and asks which public bodies should anticipate these effects and who should lead the response.

Sources: The Register