Why AI Hype Is Always Wrong (And What Actually Happens) | EP 137 cover art

Why AI Hype Is Always Wrong (And What Actually Happens) | EP 137

Why AI Hype Is Always Wrong (And What Actually Happens) | EP 137

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Summary

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Every major tech shift follows the same pattern: one side says it’ll change the world overnight, the other says it’ll destroy everything. AI is no different—and both sides are usually wrong.

In this episode of the AI Agents Podcast, Rade Kovacevic (CEO of Polar Grid) breaks down what actually happens during massive market cycles, why AI progress feels chaotic, and where real value is being built right now.

We dive into the future of real-time AI, why latency is the hidden bottleneck, and how technologies like voice agents, edge computing, and AI infrastructure will shape the next wave of products.

If you want a grounded, no-hype perspective on AI’s future—this episode is for you.

Timestamps:
00:00 – Why viral AI takes are always extreme
02:00 – Rade’s background & building companies early
05:30 – The real problem with AI today: latency
09:30 – Why AI feels slow (and why it matters)
13:30 – Voice agents & real-time interaction challenges
18:00 – Where AI is going next (voice → video → gaming)
24:30 – AI hype vs reality in every market cycle
29:00 – Will AI replace jobs or just change them?
38:00 – How companies are hiring in the AI era
47:00 – The future of AI agents & human productivity

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