Executives are blaming layoffs on AI, but research shows AI is not the main driver of US labor slowdown

🎯 Impact Sentiment: Neutral

📋 Summary

• New York Fed research challenges the AI-layoff narrative: job openings in AI-exposed fields (programmers, customer service, data entry) have declined, but the trend pre-dates ChatGPT's 2022 launch and has not accelerated post-adoption, suggesting AI is not the primary cause.
• The slowdown in entry-level hiring is not concentrated specifically in AI-exposed jobs — countering the theory that AI is uniquely responsible for young workers' difficulties entering the workforce.
• A separate Oxford Economics analysis found AI usage remains relatively low outside leading sectors, with "muted impacts on aggregate productivity and the labor market so far."
• Companies may be strategically attributing layoffs to AI because it sends a more positive signal to investors than citing weak demand — creating a significant disconnect between corporate AI narratives and the actual state of AI-driven disruption.

💡 JR Insights

• 💼 Implication: The "AI is killing jobs" narrative is more nuanced than headlines suggest. The current labor slowdown has multiple causes — economic uncertainty, tariffs, post-pandemic corrections — and AI may be receiving disproportionate blame.
• 🚨 Risk: Workers who panic-pivot careers based on AI hype risk making poorly-timed decisions. The real risk is more gradual: a slow erosion of specific job functions and hiring rates, not a sudden replacement wave.
• ✨ Takeaway: Base career decisions on data, not fear. Stay informed about where AI is genuinely being deployed in your field, upskill selectively, and recognize that the most resilient workers adapt without overreacting to every headline.