AI Adoption and the Job Market Research
Recent research that explores the effects of generative artificial intelligence (AI) on the UK’s employment market has displayed a potentially decisive turning point for the country. Should the government implement a strategic approach, this extraordinary juncture could dictate whether we face a future of substantial job disruption or propel economic growth.
The report identifies two significant, progressive stages of AI: the unveiling and a heightened second wave, in which the magnitude of AI adoption is far greater.
In this initial phase, a comprehensive study by the Institute for Public Policy Research (IPPR) scrutinised a staggering 22,000 tasks spread across the spectrum of job types in the UK’s vibrant economy. The enlightening data revealed that a noteworthy 11% of tasks which employees carry out daily are already in the grip of AI.
Routine, cognitive tasks such as mundane database management and integral organisational and strategic tasks like crucial inventory management are particularly susceptible. However, should organisations emphasise integrating AI, the looming second wave could witness AI scrambling to perform up to a 59% task output, impacting non-routine cognitive tasks and competitive, high-earning roles.
Highlighting the Jobs in the Firing Line
The initial adoption of AI technologies seems poised to most profoundly shake up back-office roles, entry-level positions, and part-time employment. Roles within this category include customer service representatives, administrative clerks, and secretaries.
Women and young adults are being presented as the group most likely to be affected as they typically gravitate towards these job roles. Consequentially, the onward march of AI technologies could lead to a dwindling array of entry-level job opportunities, and employees placed on the lower end of the pay scale are at a heightened risk of being superseded by cutting-edge AI.
Proposing Three Foreseeable Scenarios
The IPPR has proposed three scenarios that the second wave of AI could inflict on the employment market to provide a clearer understanding of the future. These outcomes are contingent on governmental policy decisions:
- Consider the most negative outcome: AI usurps every threatened job, leading to a gut-wrenching loss of 7.9 million jobs and zero GDP gains.
- Ponder the middle-ground scenario: 4.4 million jobs cease to exist, but we see economic supplementation equivalent to an uplift of 6.3% to GDP (£144bn per year).
- Think about the optimal case: Jobs at risk adapt to integrate AI, averting job loss and creating a financial uplift of 13% to GDP (£306bn per year).
The IPPR has also painted a picture of three likely scenarios that could result from the current wave of generative AI:
- In the most negative outcome: 1.5 million jobs vanish, with zero GDP gains. In the moderate scenario: 545,000 jobs cease to exist, but with financial gains of 3.1% to GDP (£64bn per year).
- In the best-case scenario, no jobs would evaporate, and we would see economic gains of 4% (£92bn per year).
Exploring the Potential Benefits of AI Deployment
Implementing AI technologies could also be beneficial.
For instance, it could redefine the labour market and reallocate resources to address glaring, unmet social needs, such as mental health provisions and much-needed social care services.
Wage gains for workers could be substantial, in some scenarios over 30%, but stagnating wages are equally likely.
Underlining the Vital Need for Government Intervention
Without decisive government action, the IPPR warns that the bleakest scenarios, featuring widespread job losses, could become unavoidable.
The researchers impress upon the government the pressing need to devise a robust strategy for job creation, job transitions, and fostering automation’s wide-ranging benefits.
Gaining Insights from the Experts
Senior Economist at IPPR Carsten Jung underscored the compelling potential of generative AI to either upset the labour market or act as a catalyst for tremendous economic growth. While AI can revolutionise knowledge-based work in the coming five years, its adoption rate and methods are critical.
Senior Research Fellow at IPPR, Bhargav Srinivasa Desikan, tossed light on the potential impact of AI on creative job profiles such as copywriters, graphic designers, and personal assistants. He emphatically stated the need to manage technological shifts in a way that engenders new job opportunities, augmented productivity, and inclusive, widespread economic benefits.
This report underscores the importance of being at a vital crossroads. Policymakers must swiftly devise a strategy to achieve an employment market that accommodates the advances of the 21st century without alienating millions of workers. The potential advantages of these technological improvements must be indiscriminately disbursed across workforces and not solely benefit large tech conglomerates.