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Approved by No One – Daily AI Briefing

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Approved by No One – Daily AI Briefing is a daily podcast on Artificial Intelligence without hype or corporate illusions. Every day, we unpack the AI news behind the headlines: models that work, systems that fail, and decisions no one wants to own. No tutorials. No buzzwords. No false optimism. Just one question, asked daily: who approved this? Spoiler: no one did!

PublishesDailyEpisodes7Founded22 days ago
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Latest Episodes

A new year starts. The accountability problem didn’t reset.

In the first episode of the year, we dive into the growing accountability nightmare created by autonomous AI agents. Systems that act, decide, coordinate, and optimize, while responsibility... more

AI isn’t just changing how work gets done. It’s changing who holds power inside organizations.

In this episode, we look at how AI-driven efficiency is being used to justify corporate job cuts, centralize decision-making, and reshape authority , ofte... more

AI systems are getting more capable. So organizations are responding with one instinctive move: control.

In this episode, we explore how AI containment and control are being designed at the architectural level, not to enable intelligence, but to red... more

AI systems are moving faster than the organizations trying to adopt them.

In this episode, we unpack the growing gap between AI capability and organizational readiness. Models improve. Tools scale. But structures, ownership, and governance stay the ... more

AI capabilities are accelerating faster than organizations can absorb them. Not because the technology is unstable, but because structures, roles, and incentives aren’t.

In this episode, we talk about the growing gap between what AI systems can alre... more

The models worked.

The demos impressed.

The adoption failed anyway.

In this episode, we unpack why AI initiatives collapse not because of algorithms, but because no one is clearly responsible once the excitement fades. Ownership gaps, blurred accoun... more

Today’s AI systems mostly work. What doesn’t work is everything around them. In this episode, we look at why AI adoption keeps failing even when models perform exactly as expected. Ownership gaps, unclear accountability, pilots with no future, and or... more

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