
<p>Uber ran through its entire annual AI budget in four months, then capped each employee at fifteen hundred dollars a month. The reason its leadership gave was not cost. It was that nobody could draw a clean line between the spending and any gain.</p>
<p>Sit with that, then read the rest of the week. Google sold thirty-five billion dollars of stock to fund the compute bill. A security startup got valued at eighty times its revenue while losing money. Microsoft, which put more than thirteen billion dollars into OpenAI, quietly built seven of its own models so it would stop depending on a partner that became a rival. Meta dropped a free AI agent into every business chat on the planet. And Gemini can now build a talking video clone of you in fifteen minutes.</p>
<p>Read together, these are one story. The capital, the capability, and the production cost are all moving at full speed. The proof is not keeping up. The market spent two years assuming more AI meant more value, and 2026 is the year that assumption gets audited. Some of it will hold. Much of it will not.</p>
<p>Seven articles in this edition. The connecting thread is the proof gap, the distance between what AI promises and what it has actually returned, and how the smart operators are closing it before the budget meeting forces the question.</p>
Open the New AI Search Report in Search Console
Google is rolling out a dedicated report that shows how often your pages appear in AI Overviews and AI Mode, broken down by page, country, and device. Open Search Console and find the AI features impressions. Click data is still missing, but the impressions alone tell you whether AI surfaces are showing your brand at all, and most teams have not even looked. For the part Google cannot show you, whether ChatGPT, Gemini, and Perplexity cite your brand, that cross-model picture is what GEOflux (geoflux.ai) is built to map.
Happy Growth,
Dan
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