Four Futures for Jobs in the New Economy AI and Talent in 2030 2025

Four futures for jobs in 20302 The four scenarios aim to provide stylized narratives from a complex global outlook. The interaction of AI advancement and workforce readiness vectors generates the following four scenarios for the future of jobs in 2030 (Figure 2). Scenario 1: Supercharged Progress. Exponential AI breakthroughs reshape industries, business models and workflows. Productivity soars and innovation flourishes. Widespread AI readiness allows people to harness the “agentic leap”, adapt to AI-centric economies and partially contain displacement. Many jobs have disappeared, but new occupations emerge and scale fast, in part with humans directing portfolios of capable machines and becoming agent orchestrators. Social safety nets, ethics and governance frameworks struggle to keep up with the pace and scale of change. Scenario 2: The Age of Displacement. Exponential AI advancement outpaces the capacity of the workforce to adapt. Businesses race to automate as a stopgap, displacing workers faster than education and reskilling systems can respond. Agentic AI takes over key processes, creating a productivity upsurge, but also new risks. Economies race ahead technologically but fracture socially: unemployment spikes, consumer confidence erodes and governments face mounting societal risks and instability. Scenario 3: Co-Pilot Economy. Gradual AI progress and availability of AI-ready skillsets shift the focus towards augmentation rather than mass automation. The AI hype of the 2020s has given way to pragmatic integration: most industries see incremental transformation as human–AI teams reshape value chains. Countries and businesses that invested early in training, mobility, digital infrastructure and AI governance have created conditions to absorb and advance emerging technologies. Scenario 4: Stalled Progress. Steady AI progress meets a workforce lacking critical skills. Productivity growth is patchy, and businesses lean on automation to backfill scarce talent. Gains concentrate within businesses and geographies with AI expertise, while others face eroding competitiveness. Displacement hits primarily routine roles, while the value of skilled trades and manual occupations increases. The hope of AI-enabled prosperity fades into frustration, as adoption gaps fuel inequality, create a bifurcated economy and limit growth.2.1 Scenarios at-a-glance Four scenarios for the future of jobs in 2030 FIGURE 2 Workforce readinessAl advancement Scenario 2 The Age of Displacement Limited Widespread Exponential Scenario 4 Stalled ProgressScenario 1 Supercharged Progress Scenario 3 Co-Pilot Economy Incremental Source: World Economic Forum. These futures have different characteristics when it comes to productivity, automation, labour market participation, inequality and other economic data. Table 1 summarizes the potential direction of these characteristics by 2030 relative to today’s baseline. Four Futures for Jobs in the New Economy: AI and Talent in 2030 7