Cover Image for The Human Bottleneck in AI Systems: Training Cognitive State Under Load
Cover Image for The Human Bottleneck in AI Systems: Training Cognitive State Under Load
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The Human Bottleneck in AI Systems: Training Cognitive State Under Load

Hosted by Yana Nakhimova & Human+Tech Week
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San Francisco, CA
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Past Event
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About Event

​As AI systems accelerate the pace of work, a quieter constraint is emerging: the human cognitive system operating under continuous load.

​In high-performance environments, teams increasingly experience fragmented attention, decision fatigue, and slower recovery between intense thinking cycles.

​This interactive workshop explores practical methods for restoring focus and stabilizing cognitive state inside AI-accelerated work environments.

​Participants will experience a short embodied Focus Protocol — a 15 minute sensorimotor sequence designed to reset attention and cognitive clarity — followed by a guided discussion on how these methods can support high-stakes performance in real work settings.

​Format: Interactive workshop / cognitive state lab

​• Introduction: the human bottleneck in AI-accelerated systems
• Live Focus Protocol demonstration
• Reflection and discussion on attention, regulation, and decision quality under load
• How short cognitive reset protocols can support AI-native teams and organizations

​This session is designed for founders, operators, researchers, and technology leaders interested in human performance, decision-making, and the future of work in AI-driven environments.

​Participants will leave with a short protocol they can use to recover clarity during cognitively intense work.

​Note: This is a small, limited-capacity session for up to 20 participants. Please register only if you plan to attend.

​By registering for this event, you agree to receive event-related communications from the organizers and Human+Tech Week. Registration information may be shared with Human+Tech Week and its official partners to support event coordination, communication, and reporting purposes. All information is handled responsibly in accordance with Luma’s privacy standards and Human+Tech Week’s data protection policies.

Location
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San Francisco, CA
28 Went