AI is eating into entry-level jobs - Azeem Azhar's Exponential View Recap

Podcast: Azeem Azhar's Exponential View

Published: 2025-09-05

Duration: 26 min

Guests: Eric Brunjolfsson

Summary

AI is significantly affecting employment for early-career workers in AI-exposed jobs, leading to a notable decline, while mid-career workers in similar roles experience growth.

What Happened

Eric Brunjolfsson and his colleagues analyzed payroll data from ADP to study AI's impact on the labor market. They discovered that early-career employees in AI-exposed roles, aged 22 to 25, have seen a 13% decline in employment. In contrast, mid-career workers in similar roles experienced a 10% increase.

The research meticulously accounted for confounding factors such as COVID-19 and industry shocks, suggesting AI's role in this employment shift. AI is seen as replacing technical skills learned through formal education with a need for tacit knowledge gained through experience.

AI's impact is particularly pronounced in occupations where it automates tasks, such as customer service, which has been heavily affected by AI systems like chatbots. Software development, however, remains an open-ended field with constant demand for new projects.

The episode draws parallels between AI's current influence and historical shifts like the adoption of electricity, emphasizing that it takes time for industries to fully re-engineer around new technologies.

The discussion also touches on how mid-sized companies, which often outsource payroll to firms like ADP, may react more quickly to AI advancements than larger corporations.

Concerns about how AI's integration affects younger workers are raised, highlighting the potential need for policy interventions to ensure they gain necessary skills and knowledge.

Finally, the episode considers how firms with strong leadership, adept at managing automation and AI integration, might succeed in the evolving labor market, drawing on historical examples of firms adapting to technological changes.

Key Insights

• Early-career employees aged 22 to 25 in AI-exposed roles have experienced a 13% decline in employment, while mid-career workers in similar roles saw a 10% increase, indicating a shift in demand towards experienced workers.
• AI's automation of tasks has significantly impacted customer service roles, with systems like chatbots reducing the need for entry-level positions, whereas software development continues to thrive due to ongoing demand for new projects.
• Mid-sized companies, often outsourcing payroll to firms like ADP, may adapt more swiftly to AI advancements compared to larger corporations, potentially reshaping their workforce dynamics faster.
• Firms with strong leadership capable of managing automation and AI integration might outperform competitors in the evolving labor market, drawing lessons from historical technological adaptations.