A report published by the World Economic Forum in partnership with PwC — titled "Artificial Intelligence and the Future of Entry-Level Work" — puts a hard number on something most early-career workers have been sensing anecdotally for a while: AI isn't just automating isolated tasks, it's reshaping entire categories of entry-level jobs, and it's happening faster in some places and sectors than others.

The headline number

More than one in three young workers globally — 37% — are employed in occupations with medium-to-high exposure to AI-driven task change, according to the report. That figure comes from a combination of WEF's Global Dialogue on AI and Entry-Level Work, which brought together more than 200 leaders across industry and policy, and PwC's Global Workforce Hopes & Fears Survey, which polled 9,394 entry-level employees across 48 economies.

Exposure varies sharply by region and sector

The report doesn't treat AI exposure as uniform. Eastern Asia shows the highest exposure among young workers, at 75%. Northern America follows at roughly 66–69%, and Europe sits around 63%. By sector, financial services, information and communication, professional services, and science and education show the highest exposure to AI-driven change. Agriculture, construction, and food services sit at the other end, with comparatively low exposure.

For India specifically, this regional and sectoral pattern matters: a large share of entry-level hiring sits in IT services, financial services, and professional services — sectors the report flags as high-exposure — which suggests the skill shifts described here are directly relevant to a large slice of the country's early-career workforce, even though the report's headline figures are global rather than India-specific.

The skills-change finding is the more interesting one

Perhaps the most practically useful finding isn't the exposure percentage itself, but what happens inside those high-exposure jobs. The report found that entry-level roles in the highest AI-exposure quartile show roughly 2.2 times higher net skill change than roles in the lowest-exposure quartile. In plain terms: if your entry-level job sits in a high-exposure category, the specific skills your employer expects from you are shifting at more than double the rate of someone in a low-exposure role — and that pace isn't slowing down.

What this means if you're early in your career

• Check which exposure bucket your sector falls into. If you're in financial services, IT, or professional services, assume the skill requirements for your role will look meaningfully different in two to three years, not just your tools.
• Treat skill refreshes as routine, not occasional. A 2.2x faster skill-change rate means waiting for a formal retraining program from your employer is a riskier strategy than proactively building adjacent skills yourself.
• Low exposure doesn't mean zero risk — it means slower change. Construction and food service roles are less exposed to AI task change specifically, but that doesn't shield them from other labor market pressures.

The report frames its purpose as helping employers and policymakers "safeguard and reinvent" early-career pathways rather than simply documenting disruption — a reasonable goal, but one that will depend on whether organizations actually act on findings like these rather than filing them away. For job seekers, the more immediate takeaway is simpler: know your sector's exposure level, and treat skill-building as a continuous habit rather than a one-time course.