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Enterprise AI just crossed a critical threshold.

Enterprise AI just crossed a critical threshold. Perplexity unveiled their hybrid local-cloud inference system at Computex — software that autonomously decides in real time which AI workloads stay on your device versus routing to frontier models in the cloud. Meanwhile, Microsoft launched Scout, an AI agent that appears in Teams like a human colleague and automates routine office tasks. Here's what connects these developments: We're moving from AI as a tool you use to AI as infrastructure...

Alonso Palacios2 min de lectura

Enterprise AI just crossed a critical threshold.

Perplexity unveiled their hybrid local-cloud inference system at Computex — software that autonomously decides in real time which AI workloads stay on your device versus routing to frontier models in the cloud.

Meanwhile, Microsoft launched Scout, an AI agent that appears in Teams like a human colleague and automates routine office tasks.

Here's what connects these developments: We're moving from AI as a tool you use to AI as infrastructure that thinks alongside you.

The hybrid approach solves the enterprise paradox: you want frontier model capabilities but need local privacy and speed. The persistent agent approach solves the productivity paradox: you want automation but need it to understand your specific context and workflows.

After 25+ years building enterprise systems, I see this as the moment AI becomes truly embedded rather than just integrated. It's not about replacing human decision-making — it's about creating intelligent systems that adapt to how businesses actually operate.

The question isn't whether your organization will adopt this architecture. It's whether you'll be ready when your competitors start operating with AI that never logs off.

What do you think — are we ready for AI coworkers that are always on?

— Alonso Palacios

#EnterpriseAI #AIInfrastructure #FutureOfWork #AIAgents #TechLeadership

ainewstechnology

Alonso Palacios

Founder & AI Engineer en ITERRUPTIVO

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