All Things Policy Anticipating AI's Impact on Jobs
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Nov 21, 2025 Sridhar Krishna is a policy and technology analyst known for his insights into AI capabilities, while Rijesh Panicker is a policy commentator with a skeptical view on AI's effects. They delve into how AI is disrupting jobs, especially entry-level roles, and discuss the differing impacts on younger versus senior workers. The conversation also explores the importance of task-level analysis over job titles, the necessity of explainability in AI, and the critical need for continuous learning as workers prepare for an evolving labor market.
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Early Job Disruption Is Concentrated
- Early hiring slowdowns and layoffs (e.g., Intel, Amazon, TCS) signal concentrated disruption in roles with high AI exposure.
- Entry-level software and customer service jobs show the strongest early signs of impact.
Codified Tasks Are Most Vulnerable
- AI more easily replaces tasks tied to codified knowledge like junior coding and clerical work.
- Sridhar warns productivity gains from AI are anecdotal and hard to directly quantify yet.
Tacit Knowledge Protects Workers
- Workers with deep domain and tacit knowledge resist displacement even if older.
- Younger, entry-level workers lacking tacit knowledge face higher risk of being impacted.