Extract D: Susceptibility to Artificial Intelligence and Projected Job Changes in Selected UK Sectors
| Sector | Estimated Share of Tasks Susceptible to AI Automation (%) | Projected Net Job Growth by 2035 (%) |
|---|---|---|
| Administrative & Support Services | 42% | -12% |
| Professional & Legal Services | 35% | -5% |
| Financial & Insurance Services | 38% | -2% |
| Education & Training | 18% | +8% |
| Creative, Arts & Entertainment | 28% | +4% |
Extract E: The Cognitive Automation Revolution
While historical shifts—such as the transition from agriculture to manufacturing—suggest that technological displacement eventually yields net job gains, the speed and cognitive nature of the current artificial intelligence (AI) revolution present unprecedented adjustment shocks. Generative AI models can instantly draft legal documents, compose code, and write marketing copy. Unlike mechanical automation, which affected manual labor, cognitive automation directly targets highly educated, white-collar professions.
Optimists argue that this will liberate professionals to focus on high-value strategic decision-making and interpersonal client relations, boosting aggregate demand as prices for services fall. However, transition costs are high. Displaced knowledge workers cannot instantly retrain as software engineers or specialized medical practitioners. The unfettered market will not spontaneously generate high-quality alternative employment for mid-career professionals displaced by generative models. Without systemic support, we risk creating a class of underemployed, highly educated workers, driving down wages in non-susceptible service sectors.
Extract F: Alternative Policy Frameworks
AI systems represent a dramatic leap in capital productivity, promising to reverse decades of sluggish growth. Some policy advocates have called for an 'AI automation levy' or a 'digital dividend tax' to fund retraining programs or cushion the impact on displaced workers. However, leading business economists argue that imposing regulatory penalties or digital taxes on AI integration is counterproductive to long-run economic growth: "Staving off progress is a poor strategy for helping less fortunate workers."
Instead of taxation, alternative structural interventions have gained traction. Some suggest a localized 'wage-insurance scheme' or a sovereign wealth fund that distributes dividends to citizens derived from tech-sector shares. Others advocate for supply-side policies: state-subsidized lifelong learning accounts and targeted digital skills funding, allowing the market to match workers with emergent roles in AI supervision, digital curation, and high-touch human services that algorithms cannot replicate.
Extract E states that 'The unfettered market will not spontaneously generate high-quality alternative employment for mid-career professionals displaced by generative models.'
Extract F states that 'imposing regulatory penalties or digital taxes on AI integration is counterproductive to long-run economic growth.'
Use the extracts and your own knowledge of economics to evaluate whether governments should allow markets to respond freely to the opportunities and challenges presented by cognitive automation and Artificial Intelligence (AI), without any state intervention.
378 exam-style questions on AQA A Level Economics 1.8 The market mechanism, market failure and government intervention in markets, covering 1.8.1 How markets and prices allocate resources, 1.8.2 The meaning of market failure, 1.8.3 Public goods, private goods and quasi-public goods, 1.8.4 Positive and negative externalities in consumption and production, 1.8.5 Merit and demerit goods, 1.8.6 Market imperfections, 1.8.7 Competition policy (A-level only), 1.8.8 Public ownership, privatisation, regulation and deregulation of markets (A-level only), 1.8.9 Government intervention in markets, and 1.8.10 Government failure. Each one has a worked solution and a mark scheme showing where the marks go.