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AI needs data to grow. But accessing high-quality datasets is becoming harder than ever.
· Data collection is increasingly centralized in the hands of a few large players.
· Platforms are locking content behind expensive APIs and private data deals.
· Specialized datasets (medical, legal, code) can cost 20–40× more than general web data.
· And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels.
The result? A growing data bottleneck for AI development.
The future of AI won’t just depend on better models.
It will depend on who can access and activate quality data.
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