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Are AI jobs disappearing faster than they're being created—or are we asking the wrong question?
For months, AI leaders warned of massive job losses. Now, some of the same voices are changing their tune. But while Sam Altman and Dario Amodei are sounding more optimistic, tech layoffs continue to climb, AI anxiety is spreading across the workforce, and business leaders are facing a difficult question: what's actually happening beneath the headlines?
In this week's AI News episode, Isar Matis breaks down the conflicting signals shaping the future of work and explains why the next few years may be far more turbulent than many expect. He also explores a major shift in the AI race: why model intelligence is no longer the primary battleground, and why speed, cost, accessibility, and business value are becoming the metrics that matter most.
If you're a business leader trying to understand where AI is headed—and what it means for your workforce, strategy, and competitive advantage—this episode provides a practical framework for separating hype from reality.
In this session, you'll discover:
Why Sam Altman says he may have been wrong about the pace of AI-driven job disruption.
The Jevons Paradox and how increased AI productivity could create new demand.
The reality behind recent tech layoffs and whether AI is truly responsible.
Why employee anxiety around AI may matter more than the statistics themselves.
The growing gap between jobs being eliminated and new AI-related roles being created.
Why reskilling workers may be harder than most organizations expect.
How the AI race is shifting from model quality to business value.
Why open-source models are rapidly closing the gap with frontier AI systems.
The hidden cost explosion companies are experiencing with AI tokens and agents.
What Microsoft's latest Build announcements reveal about the future of enterprise AI.
Why robots cleaning homes may be an early sign of AI's impact on blue-collar work.
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!
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