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The AI funding landscape just shifted into uncharted territory.

The AI funding landscape just shifted into uncharted territory. Anthropic is reportedly fielding offers at a $900B valuation — nearly touching the trillion-dollar mark for an AI startup. Meanwhile, Parag Agrawal's AI agent company hit $2B in just months. But here's what caught my attention: SoftBank is building a $100B robotics company focused on data center infrastructure. The thesis? You need AI and robots to build the infrastructure that powers AI. This creates a fascinating feedback...

Alonso Palacios1 min de lectura

The AI funding landscape just shifted into uncharted territory.

Anthropic is reportedly fielding offers at a $900B valuation — nearly touching the trillion-dollar mark for an AI startup. Meanwhile, Parag Agrawal's AI agent company hit $2B in just months.

But here's what caught my attention: SoftBank is building a $100B robotics company focused on data center infrastructure. The thesis? You need AI and robots to build the infrastructure that powers AI.

This creates a fascinating feedback loop. As AI valuations soar, the demand for compute infrastructure explodes. That infrastructure increasingly requires AI-powered robotics to build and manage at scale.

We're witnessing the birth of a new category: infrastructure-as-AI-product.

The companies that crack this recursive loop — where AI builds the infrastructure that trains better AI — will likely define the next decade of technology.

What fascinates me most is how this changes the economics of AI development. When your infrastructure can self-improve and self-scale, traditional cost curves break.

¿What do you think? Are we entering an era where AI infrastructure becomes the ultimate moat?

— Alonso Palacios

#AIInfrastructure #ArtificialIntelligence #TechInvesting #Robotics #FutureOfTech

ainewstechnology

Alonso Palacios

CEO, ITERRUPTIVO

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The AI funding landscape just shifted into uncharted territo