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Top AI Stories You Missed This Week
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AI Reality Check: The Week Everything Changed
August 18-25, 2025
The AI bubble just popped.
Not completely. But the cracks are showing, and this week proved it.
While you were probably hearing about ChatGPT's latest update or some new AI tool, the real story was happening behind closed doors. Deals worth billions. Government takeovers. And one very public admission that nobody saw coming.
Here's what actually happened this week in AI. The stuff that matters.
The $100 Billion Club Just Got a New Member
Databricks hit $100 billion.
You probably don't know what Databricks does. Most people don't. They handle data for companies. Boring stuff. But their valuation just jumped 61% in one funding round. That puts them in the same league as SpaceX, ByteDance, and OpenAI.
Think about that. A data company is now worth more than most countries' GDP.
The money came from Thrive Capital and Insight Partners. These aren't dumb investors throwing money around. They see something we don't. Or they're about to lose a lot of money.
Sources: Reuters, CNBC, TechCrunch
OpenAI's CEO Just Admitted What We All Suspected
"We totally screwed up."
Sam Altman said this. Out loud. About GPT-5.
The rollout was a disaster. Users hated it. Performance got worse. The AI lost its personality. People canceled their subscriptions.
But here's the kicker: Altman also said the AI market is in a bubble. His exact words were that "some investors are likely to get very burnt."
This is the CEO of the biggest AI company admitting his own industry is overvalued. When was the last time you heard that level of honesty from Silicon Valley?
Sources: Ars Technica, WIRED, Mashable, CNN
The Most Ridiculous Business Move of the Year
Perplexity AI offered $34.5 billion for Google Chrome.
Let me repeat that. A company valued at $18 billion offered nearly double their worth to buy a browser from Google.
Google said no. Obviously.
This wasn't a real offer. It was a PR stunt. But it worked. Everyone's talking about Perplexity now. Sometimes the most obvious moves are the smartest ones.
Sources: LinkedIn, TS2 Tech
China Drops a Bomb Nobody Expected
DeepSeek released V3.1.
You haven't heard of it. But you will.
It's a 685 billion parameter AI model that rivals GPT-5 and Claude. The difference? It's completely open-source. MIT license. Anyone can use it, modify it, or build on it.
While American companies fight over closed systems and subscription fees, China just gave away the equivalent for free. That's not competition. That's warfare.
Sources: MarkTechPost, Reuters, Fortune
Your Government Is Now in the Chip Business
The U.S. just bought 9.9% of Intel for $8.9 billion.
This isn't a loan. It's equity. The government owns part of Intel now.
Intel's CEO wasn't happy. The company warned this could "hurt international sales" and complicate future business deals. But they took the money anyway.
When was the last time the U.S. government bought shares in a private company? This is unprecedented industrial policy. And it's happening because AI chips are now considered national security.
Sources: Reuters, Wall Street Journal
The $1 Government Deal
Both OpenAI and Anthropic are selling their AI systems to federal agencies for $1.
One dollar. For enterprise-level AI.
This isn't charity. It's strategy. Government contracts are worth billions long-term. These companies are buying their way in with loss-leader pricing.
Your tax dollars at work.
Sources: Various industry reports compiled in research documents
Meta Makes Two Smart Moves
Facebook's parent company signed a $10 billion, six-year cloud deal with Google. Their biggest competitor is now hosting their AI workloads.
They also partnered with Midjourney for image generation. Instead of building everything in-house, they're licensing the best tech available.
This is what smart companies do. They focus on what they do best and buy everything else.
Sources: Reuters, Bloomberg
The Reality Check Nobody Wanted
MIT studied 300 AI projects.
95% failed to generate any return on investment.
$30-40 billion spent. Almost nothing to show for it.
This isn't just startups failing. These are major corporations with unlimited budgets and the best talent money can buy. And they're still failing.
The AI revolution might be real. But most companies are doing it wrong.
Sources: Fortune, CNN, various research compilations
What Actually Works
Small businesses are using AI differently. 60% are now using AI tools, but they're focusing on simple stuff:
Customer service automation
Content creation for marketing
Basic operational tasks
Tools like eesel AI ($239/month), Jasper ($39/month), and Canva Magic Studio are getting real results. Not because they're revolutionary. Because they solve actual problems.
The companies succeeding with AI aren't trying to build the next ChatGPT. They're using existing tools to do boring work better.
Sources: eesel AI, Spaceo AI
The Texas Investigation
Texas is investigating Meta and Character.AI for something nobody talks about.
Their AI chatbots are pretending to be therapists. Without licenses. Marketing to teenagers.
This matters more than another funding round or model release. AI is being used to exploit vulnerable people. And finally, someone's doing something about it.
Sources: Various regulatory reports
What This Means for You
The AI hype cycle is ending. Reality is setting in.
The companies that survive won't be the ones with the biggest models or the most funding. They'll be the ones solving real problems for real people.
If you're using AI tools, focus on the boring stuff. Automation. Content creation. Data analysis. The flashy features don't matter if they don't save you time or money.
If you're investing in AI companies, be careful. Even the CEOs are admitting this is a bubble. When the music stops, a lot of people are going to be left without chairs.
And if you're building something with AI, remember what actually works. Small improvements to existing workflows beat revolutionary breakthroughs that nobody needs.
The Week Ahead
Watch Databricks' stock price when it goes public. See if DeepSeek V3.1 gets mainstream adoption. Check if the government takes equity stakes in other chip companies.
But mostly, watch the failure rate. 95% is a big number. It's probably going to get bigger before it gets smaller.
The AI revolution is real. But it's not happening the way anyone expected.
This newsletter compiles information from Reuters, CNBC, TechCrunch, WIRED, Fortune, CNN, MIT research studies, and various industry reports from August 18-25, 2025. All sources cited throughout are from the provided research documents.
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