She straightens when it does, not because it’s more difficult than the others, but because it made it this far.
Across the café, the developer refreshes the listings again, watching roles appear that assume the experience he hasn’t had the chance to get. The work exists. He can see it. It just doesn’t meet him where he is.
A year ago, it would have been just another call. Just another job to apply for.
Now they’re the ones the system lets through.
Bibliography
1. International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure, 2025. Estimates ~25% of global employment exposed, with highest concentration in clerical and administrative roles.
2. Stanford University, working paper on AI exposure and job postings (2024–2025). Documents decline in junior-level listings in exposed occupations.
3. McKinsey Global Institute, Generative AI and the Future of Work in America. Estimates ~30% of U.S. work hours automatable and ~12 million occupational transitions by 2030.
4. OECD / ILO synthesis on task exposure by occupation, 2025. Estimates 40–60% task exposure in clerical/customer service roles vs <20% in physical work.
5. International Monetary Fund, AI and Jobs: Evidence from Occupational Exposure and Complementarity, 2026. Identifies divergence between AI-complementary and substitutable roles.
6. World Economic Forum, Future of Jobs Report 2025. Projects large-scale job churn with net growth masking structural shifts