Everyone's talking about the same headlines. Here's what flew under the radar:

1. Open-source models are closing the gap faster than expected. The latest benchmarks show smaller models outperforming last year's frontier models on reasoning tasks. The moat is shrinking.

2. Enterprise AI adoption hit an inflection point. New data shows 60%+ of Fortune 500 companies now have production AI workflows — not pilots, production. The "are companies actually using this?" debate is over.

3. AI regulation is fragmenting globally. While the EU tightens, Southeast Asia is going the opposite direction with AI-friendly frameworks. Where you build matters more than ever.

4. The real AI bottleneck isn't compute — it's data quality. The companies winning aren't the ones with the biggest GPU clusters. They're the ones with the cleanest, most structured proprietary data.

5. AI agents are quietly replacing entire SaaS categories. Not in a splashy way. But if you look at customer support, data entry, and scheduling — agents are doing the job better and cheaper.

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