Better decisions create better outcomes — but speed alone doesn’t make them better. The future of decision-making lies in systems that combine dynamic context, structured frameworks, and real collaboration. AI already has the intelligence; what’s missing is the structure to make it truly useful for the work that matters most.
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This theme echoes in every serious AI discussion today: context is the missing piece of the puzzle.
Bob McGrew—former Head of Research at OpenAI—summed it up on Sequoia’s Breakthroughs Needed for AGI podcast:
“If you’re a startup, play where you understand something deeply outside the model—feed that context in, use the outputs, and drive decisions. That’s the opportunity.”
Frontier models will keep sprinting ahead—reasoning better, seeing wider, grasping nuance we once thought unreachable. Yet raw horsepower means little unless it’s pointed at real problems. The leverage lies in pairing sharp domain insight with these models, then turning their answers into decisive action.
Read more about how Hubs can be the bridge between your world and AI here.
Scott Wiener, Founder & CEO
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AI Can Make Us Competent, But Experience Is What Makes Us Great
AI can make us faster and more capable, but not wiser. True expertise comes from experience — from judgment, context, and time. In the AI era, greatness belongs to those who can connect machine intelligence with real-world nuance.
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