Wages: What would be the impact of AI deployment at work on wages and costs for employees and employers?

Background

"In the National AI Strategy, the government made commitments to enrich our understanding of AI as it impacts the economy and society more broadly. Additionally, we recently launched a steering board chaired by the heads of both the government analysis and scientific functions, to ensure cohesive cross government approaches to understanding AI impacts. An overview of the high-level questions we are asking in this regard are outlined in the section below. (https://www.gov.uk/government/publications/national-aistrategy)

Some priority work we are currently developing to meet these commitments include:

An analysis of the AI White Paper consultation to feed into the formal consultation response. This will allow us to take on feedback from the public and various key players in sectors across the economy, and better tailor policy interventions to support strategic AI aims.

Establishing the AI Safety Institute to advance the world’s knowledge of AI safety by carefully examining, evaluating, and testing new frontier AI systems. The Institute will conduct fundamental research on how to keep people safe in the face of fast and unpredictable progress in AI, improving our understanding of the capabilities and risks of AI systems.

A monitoring and evaluation framework for AI regulatory interventions in tandem with the AI regulatory white paper. This will develop our understanding of key metrics to monitor with regards to Ai governance and ecosystem impacts.

Research into the AI sector and supply. Updating the AI Sector Study to establish a consistent and comparable set of economic indicators for the AI sector in terms of producers and suppliers. This study helps us to best understand where the AI sector needs support, to grow sovereign capability of the UK in AI, in alignment with strategic priorities.

The development of a cross-economy national AI risk register. Developed in tandem with a responsibility register that garnered cross Whitehall agreement on which departments hold which risks with regards to AI. The risk register will provide a single source of truth on AI risks which regulators, government departments, and external groups can use to prioritise further action.

Further research into Compute and the best ways to leverage compute to support the AI sector. This will be key to informing our response to the future of compute review and maximising the £1 billion+ investments in state-of-the-art compute."

As AI technology advances, it may be possible to continue to automate an increasing number of human tasks. A research interest would be to understand the task breakdown of the UK labour market by sector and geography. Building on this, some scenario modelling (i.e. under different levels of AI capability) could be undertaken to test the extent to which jobs are likely to be lost.

Next steps

If you are keen to register your interest in working and connecting with DSIT Science, Innovation, and Research Directorate, and/or submitting evidence, then please complete the DSIT-ARI Evidence survey - https://dsit.qualtrics.com/jfe/form/SV_cDfmK2OukVAnirs

Link to ARI Document : https://www.gov.uk/government/publications/department-for-science-innovation-and-technology-areas-of-research-interest/dsit-areas-of-research-interest-2024

Related UKRI funded projects


  • The Analysis of Automation by Means of Automation: A Machine Learning Approach to Job Tasks.

    Computers and automation have had a massive impact on working life since the 1980s and the latest technological changes strongly suggest that this trend will continue. Inventions such as the self-driving car, general imp...

    Funded by: ESRC

    Lead research organisation: University of Warwick

    Why might this be relevant?

    The project analyzes the impact of automation on job tasks and wages, directly addressing the question about the impact of AI deployment on wages and costs.

  • Technical change, EMPloyment & Inequality. A Spatial analysis of households & plant data

    According to the London Futures Deloitte report (Frey and Osborne, 2014), 35 per cent of the current workforce in the UK is at risk of being made redundant over the next two decades as a result of the introduction of dig...

    Funded by: ESRC

    Lead research organisation: University of Sussex

    Why might this be relevant?

    The project focuses on technical change, employment, and inequality, providing comparative evidence on the effects of technical change on income inequality, partially addressing the question about the impact of AI deployment on wages and costs.

Similar ARIs from other organisations