Key Takeaways
- •Coinbase cut 14% staff citing AI efficiency gains.
- •Economist Torsten Slok predicts AI will shift, not eliminate, white‑collar jobs.
- •AI accelerates software delivery, potentially boosting demand for product strategists.
- •Jevons paradox suggests efficiency may spur lower‑skill job growth, not wages.
- •Call‑center employment in the Philippines continues rising despite AI tools.
Pulse Analysis
Generative AI’s promise of a new wave of employment has sparked vigorous debate. While CEOs tout faster product cycles and reduced headcount, the reality is nuanced. The Coinbase layoff—14 percent of its workforce—highlights how firms are leveraging AI to trim costs, a trend echoed across tech firms that label modest productivity gains as "AI washing." Such moves raise questions about the net job effect, especially for entry‑level and routine roles that are most vulnerable to automation.
Economists like Torsten Slok argue that AI follows a familiar disruption pattern: short‑term displacement followed by longer‑term reallocation. Unlike past manufacturing revolutions that targeted blue‑collar labor, today’s AI wave targets cognitive, white‑collar tasks. This shift could create demand for higher‑order roles—product managers focused on strategy, data‑driven decision making, and AI‑augmented design—while eroding purely executional positions. Early data from software engineering shows faster code delivery, yet hiring pipelines for developers remain volatile, suggesting a lag before new opportunities materialize.
Historical lenses such as the Jevons paradox remind us that efficiency can spur demand for cheaper, lower‑skill labor rather than raise wages. The Philippines’ call‑center sector, for instance, continues to grow despite AI transcription tools, indicating that automation may expand certain service niches while compressing others. For businesses and policymakers, the key is to monitor skill transitions, invest in reskilling, and design safety nets that smooth the inevitable churn as generative AI reshapes the employment landscape.
Is Generative AI creating more Jobs?


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