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<v Speaker 1>Ai Daily Briefing. I'm ed sharp, thanks for joining me today.

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<v Speaker 1>The great Ai model markdown. Who wins when prices collapse?

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<v Speaker 1>Open Ai just cut the price of two of its

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<v Speaker 1>flagship models by as much as eighty percent. That's not

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<v Speaker 1>a promotional discount, that's a structural signal about where this

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<v Speaker 1>market is heading. The Terror model dropped twenty percent, landing

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<v Speaker 1>at two dollars per million input tokens. Luna fell further

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<v Speaker 1>down to twenty cents per million. The trigger was clear.

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<v Speaker 1>Chinese startup moonshot Ai released its open weight Kimmi K

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<v Speaker 1>three model, which outperformed several leading American offerings on key benchmarks.

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<v Speaker 1>Open Ai moved fast, so did Anthropic. Anthropic launched cord

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<v Speaker 1>Opus five at half the price of its previous top

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<v Speaker 1>tier model, crd Fable five, while maintaining comparable performance on

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<v Speaker 1>coding and knowledge work. The key implication is that this

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<v Speaker 1>isn't one company getting aggressive. It's a simultaneous compression across

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<v Speaker 1>the entire top tier of the industry. Open Ai, Anthropic, Google, Microsoft,

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<v Speaker 1>all cutting within a forty eight hour window. When the

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<v Speaker 1>whole field moves together that fast, it tells you the

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<v Speaker 1>pressure is coming from outside the group that outside pressure

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<v Speaker 1>is China. Moonshot's Kimiki three is open weight, meaning anyone

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<v Speaker 1>can run it. Cost effective models from Microsoft are adding

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<v Speaker 1>to the squeeze. The incumbents with scale have a structural

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<v Speaker 1>advantage here, but the margin math is getting harder to ignore.

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<v Speaker 1>Prices fell twenty to eighty percent in days. Nobody has

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<v Speaker 1>shown yet that the unit economics survive at these levels.

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<v Speaker 1>The stress in the AI sector isn't just about model pricing. Yesterday,

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<v Speaker 1>AI focused hedge fund Situational Awareness faced a liquidity crisis

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<v Speaker 1>after a slide in AI stocks triggered a bank margin call.

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<v Speaker 1>Citadel stepped in overnight, acquiring the fund's leveraged equity portfolio

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<v Speaker 1>and preventing a forced liquidation. The NASDAC gained three percent

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<v Speaker 1>on the news, which tell tells you how close the

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<v Speaker 1>market was to absorbing a serious wave of forced selling.

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<v Speaker 1>Here's what that crisis reveals. There is unquantified leverage sitting

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<v Speaker 1>inside AI focused funds. Situational Awareness is visible because it

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<v Speaker 1>broke into the open. How many similar positions remain unclear

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<v Speaker 1>is the more important question, and right now nobody has

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<v Speaker 1>a clean answer. There's the thing. Tesla used its second

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<v Speaker 1>quarter twenty twenty six earnings to formally reposition itself as

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<v Speaker 1>an AI and robotics platform. Factories are being retooled for

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<v Speaker 1>optimist robot production. The robot taxi fleet is scaling. Full

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<v Speaker 1>self driving is now treated as a revenue generating service layer,

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<v Speaker 1>not just a feature. Margins are under pressure, and Tesla

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<v Speaker 1>is accepting that trade deliberately. The signal here is that

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<v Speaker 1>bett Tesla is making on timing. There are no confirmed

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<v Speaker 1>customer contracts for robotaxi at scale. Regulatory approval paths remain uncertain.

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<v Speaker 1>The capex is going in now on a thesis that

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<v Speaker 1>hasn't been validated yet. That's either early position or expensive optimism.

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<v Speaker 1>The answer arise with the regulatory calendar. Across the Atlantic,

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<v Speaker 1>the EUAI Act is becoming something its architects probably hoped

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<v Speaker 1>for but couldn't mandate. Forty seven percent of non EU

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<v Speaker 1>companies are now citing the Act in their public disclosures,

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<v Speaker 1>with no legal requirement to do so. US technology firms

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<v Speaker 1>reference it at the highest rate of any sector. The

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<v Speaker 1>Brussels effect is real and its accelerating. As August twenty

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<v Speaker 1>twenty six, enforcement approaches the compliance cap though, is worth

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<v Speaker 1>keeping in view. Only around twelve percent of companies have

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<v Speaker 1>formal human review policies for individual AI decisions. Only a

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<v Speaker 1>quarter assessed potential harm to employee rights. The act is

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<v Speaker 1>being acknowledged. Being ready for it is a separate question.

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<v Speaker 1>Consider this one more development that fits the larger pattern.

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<v Speaker 1>Oakta acquired AI identity start up permisso for around two

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<v Speaker 1>hundred million dollars to extend monitoring of AI agents and

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<v Speaker 1>machine identities. As enterprises deploy autonomus AI software, the security

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<v Speaker 1>surface is shifting from user accounts to machine behavior. That's

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<v Speaker 1>an emerging threat model, and the M and A activity

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<v Speaker 1>confirms that enterprises are taking it seriously now rather than later.

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<v Speaker 1>The through line across today's briefing is pressure on prices,

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<v Speaker 1>on valuations, on compliance timelines, on competitive positioning. The near

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<v Speaker 1>term signals to watch are whether OpenAI and anthropics margin

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<v Speaker 1>structures hold at these new price flaws, whether more leverage

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<v Speaker 1>inside AI funds surfaces the way situational awareness did, and

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<v Speaker 1>whether Tesla's ROBOTAXI regulatory path opens on any credible timeline

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<v Speaker 1>before the CAPEX commitment becomes a liability. The pricing war

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<v Speaker 1>is the loudest story today the leverage risk is the

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<v Speaker 1>quietest one. Keep both in view. Thanks for listening. This

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<v Speaker 1>podcast was built using AI technology. A Yes We production