Productivity boost from Generative AI could add £31 billion of GDP to the UK economy
Around 2.5% of overall tasks on average could be performed by generative AI, with 40% of jobs seeing some impact from the technology
Around 2.5% of overall tasks on average could be performed by generative AI.
- Around 2.5% of overall tasks on average could be performed by generative AI, with 40% of jobs seeing some impact¹ from the technology
- Approximately half of the displacement impact of AI is expected to be offset by the creation of new tasks within the affected jobs
The adoption of Generative Artificial Intelligence (AI) could add 1.2% to the level of UK productivity, or in terms of 2022 level of GDP, £31 billion additional output in the UK per year, according to a new KPMG report: Generative AI and the UK labour market.
KPMG’s analysis shows a relatively small but significant overall effect of the technology, which could impact around 2.5% of tasks performed across the UK, allowing workers to be redeployed to other tasks and activities.
The report finds that the impact across different occupations is relatively varied, while 10% of jobs may be facing the most significant impact, with more than 5% of their tasks affected, another 60% of jobs could face little to no direct effect from Generative AI.
The wider implications that Generative AI may have on the economy and society are highly uncertain. Set against the underlying impacts on employment and productivity, the wider social impacts may warrant a high degree of caution in how regulators and policymakers approach these technologies.
Yael Selfin, Chief Economist at KPMG UK, commented on the report:
“It will take time for the new technology to be adopted across the economy. Changes to working practices, skills, and significant levels of digital investments are required to unlock the productivity benefits.
“While we do not anticipate many job losses as a result, changes to work practices of some occupations could still lead to short-term skill mismatches, as the labour market adjusts to the new technology. Additional support will be needed to facilitate the transition of affected workers to new occupations.”
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Paul Henninger, Head of Connected Technology at KPMG UK, said:
“The benefits of generative AI will be huge if we keep people at the centre of our thinking about it. Used in a responsible way, it will accelerate our work, saving people and businesses time and money by removing repetitive tasks and bringing data and insights seamlessly into how we make decisions. While there are concerns about the impact of generative AI on jobs, it will likely be used as an enabler of our strategies and processes. Roles will change to work with the technology.”
Occupational impact of Generative AI
Creative occupations are expected to be amongst the most affected by Generative AI technologies. As Table 1 shows, text-based algorithms could be applicable to 43% of the tasks associated with authors, writers, and translators, accelerating drafting, summary, and text creation. Similarly, the works of graphic and other designers could be impacted significantly by generative AI technologies, with 15% of tasks susceptible to automation using visual applications.
Table 1: Some of the occupations potentially more exposed to Generative AI
Description |
Share of tasks automated, % |
|
Authors, writers and translators |
43% |
|
Programmers and software development professionals |
26% |
|
Public relations professionals and communications directors |
25% |
|
IT user support technicians |
23% |
|
Graphic designers |
15% |
|
Personal assistants and other secretaries |
11% |
|
Legal professionals |
11% |
|
Business and related research professionals |
10% |
|
Marketing professionals |
7% |
|
Auditors |
7% |
|
Biological and biomedical scientists |
6% |
|
Higher education teaching professionals |
6% |
|
Source: ASHE 2022, O*NET database, KPMG analysis.
However, there is a wide swathe of occupations that are likely to see little to no direct impact from Generative AI technologies. Of the 412 occupational categories examined in the report, around 60% are expected to see almost no impact from generative AI. These include many of the occupations in retail and customer services, hospitality, construction and manufacturing.
Yael Selfin, Chief Economist at KPMG UK, concluded:
“It is important to note that the impact of Generative AI, while significant for some occupations, does not appear yet to have the potential to encompass many others, which limits the overall impact on the economy.
“However, the technology may facilitate faster progress in areas such as programming and R&D, which in turn could generate a significant boost to productivity, beyond the impact on the immediate tasks affected by this technology.”
-Ends-
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Notes to Editors:
¹Identified as those with over 1% of tasks affected by Generative AI. Three main applications of generative AI in the workforce are identified: classification and summary tasks, technical content creation and subjective works, and it looks at the effect this technology could have on the UK economy, both for UK jobs and economic output, as well as the wider implications of the technology on the UK’s economy and society.
About KPMG UK
KPMG LLP, a UK limited liability partnership, operates from 20 offices across the UK with approximately 17,000 partners and staff. The UK firm recorded a revenue of £2.72 billion in the year ended 30 September 2022.
KPMG is a global organisation of independent professional services firms providing Audit, Legal, Tax and Advisory services. It operates in 143 countries and territories with more than 265,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.