As many as eight million jobs in the UK could be lost to artificial intelligence in a "worst case scenario", according to a report.

Analysis by the Institute for Public Policy Research (IPPR) said the UK was facing a "sliding doors" moment around its implementation of generative AI, and called on the Government to ensure that a fair industrial strategy was in place.

The report identified two key stages of generative AI adoption: the first wave, which is already under way, and a second wave in which companies will more deeply integrate AI tech into their processes a stage at which it suggests as many as 59% of tasks done by workers could be vulnerable to being replaced by AI automation if no intervention occurs.

It said that back office, entry level and part-time jobs were at the highest risk of being disrupted during the first wave including secretarial, customer service and administrative roles with women and young people the most likely to be affected as they are more likely to be in those roles.

Those on lower wages were also identified as being the most exposed to being replaced by AI. The study's worst case scenario for the second wave of AI would be around 7.9 million job losses and no GDP gains.

However, the report suggests that if government and industry are proactive in protecting workers as the use of AI increases, there could be substantial economic benefits. The best-case scenario for the second wave is that no jobs will be lost as they are augmented to work alongside AI, which could lead to an economic boost of 13% to GDP, around £306billion a year.

Carsten Jung, senior economist at the IPPR, said: "Already existing generative AI could lead to big labour market disruption or it could hugely boost economic growth, either way it is set to be a game changer for millions of us. Many firms are already investing in it, and it has potential to speed up many more tasks as more businesses adopt it."

"Over the next five years it could transform knowledge work. The question now is less whether AI can be useful, but rather how fast and in what manner employers will use it."

"History shows that technological transition can be a boon if well managed, or can end in disruption if left to unfold without controls. Indeed, some occupations could be hard hit by generative AI, starting with back office jobs."

"But technology isn't destiny and a jobs apocalypse is not inevitable. Government, employers and unions have the opportunity to make crucial design decisions now that ensure we manage this new technology well. If they don't act soon, it may be too late."

The IPPR report suggests that the government needs to put in place a job-focused plan for AI. This could include tax benefits and grants to encourage more worker training in AI. This way, people can work with the technology instead of being replaced by it. In critical areas like healthcare, there should be clear human responsibility.

So far, no specific laws have been created by the government about the growing use of AI. But, last month, it did say it would spend over £90million on new AI research centres across the UK. These hubs will explore responsible ways to use AI in areas such as healthcare, chemistry, and maths.

This news was part of a bigger announcement where the government said it would spend over £100million in response to consultation on its own AI Regulation White Paper. This document was first published last year.

A Department for Science, Innovation, and Technology (DSIT), spokesperson said: "This research is hugely speculative. There are numerous reports which also predict AI will spark a huge creation in jobs, unlocking further growth and ramping up productivity."

"AI already contributes more than £3.7billion to our economy every year and we have already invested £290million since 2018 in skills and talent initiatives for the jobs of the future. We continue to assess the impact of AI on different sectors and ensure employers play a leading role in building robust UK skills and talent."

"We are also working with Innovate UK and the Alan Turing Institute to develop guidance on the core AI skills people need, which will be published later this year."