THE GREAT DECOUPLING
Why traditional leadership is breaking
- The 1% Problem
- Where the Algorithm Stops and Leaders Begin
- The Four Leadership Taxes
Out October 2026. Read the Introduction now.
Running a community, a team, or a leadership cohort? I’d love to bring these conversations to your room this launch season.
You were trained to lead
a world that no longer exists.
Leaders are being asked to decide without certaintyunlearn what made them goodexplain what they cannot provecarry consequences they cannot predictsay no to what can be built — and nobody trained them for any of it.
What’s inside
A diagnosis, an operating system, and the mechanics to run it.
PART I
PART II
THE SEVEN MINDSETS
Seven mindsets. Each carries a cost. None are optional.
- The Curious Operator
- The Radical Unlearner
- The Probabilistic Strategist
- The Narrative Shaper
- The Ethically Ambitious
- The Ambidextrous Thinker
- The Systemic Steward
PART III
THE PLAYBOOK
Mindsets without mechanics stay aspirational.
- Rewiring the Org Chart
- Job Redesign
- Boardroom Defense
PART IV
THE FUTURE LANDSCAPE
What are you going to do with all of it?
- The 2030 Mandate
The Contributors
These are the leaders who agreed to say the uncomfortable part out loud. Founders, executives, and operators with deep operational authority at companies including Google, Meta, Microsoft, Amazon, and Apple — on the record, under their own names, about what the job actually demands now.
AI product and experience design executive with 30 years driving vision for companies such as Apple, Samsung, and PayPal, as well as high-growth startups. He guides executive teams on aligning corporate strategy with generative AI and agentic workflows. An international speaker who has taught frameworks and methodologies at the intersection of design, user behavior, and business impact, he focuses centrally on ensuring autonomous systems expand human agency while delivering measurable, real-world user value and business results.
Silicon Valley entrepreneur and investor with deep roots in consumer eletronics and enterprise technology. Chairman and CEO of Noventi, a private investment and advisory firm. Previously co-founder and operating leader at Logitech and CEO of Neato Robotics. Has navigated multiple technology cycles, from early personal computer and networking infrastructure to XR to AI, and brings a long-horizon perspective on which organizational capabilities endure versus which become commoditized in each wave.
Currently working in a team focused on enterprise use of AI. Before that, a rich career in public and private companies and in consulting firms including Chief Strategy Officer of Borland Software, Chief Operating Officer of Inflection AI, Managing Director at PwC and an Expert Partner at Bain & Company. Philosophy graduate of the University of Chicago, author of two books and a weekly AI newsletter called Infinite Future. His central diagnosis: human organizations are hierarchical and siloed; AI intelligence is horizontal, and that structural mismatch is not a management problem; it is an architectural one.
Senior Director of Product at Salesforce’s Agentforce AI Platform, leading evals, observability, and optimization to help enterprises move AI agents from pilots to production—and scale them with trust, quality, and measurable business value. Previously built AI products and platforms at Microsoft. Published author of *Practical Automated Machine Learning on Azure* (O’Reilly). Carries the accountability question as an operational reality: when AI-generated recommendations drive human decisions and outcomes go wrong, leadership owns the result.
She is a cultural-systems builder working at the intersection of design, frontier technology, and human culture. After leadership roles across Apple, Microsoft, Meta, Adobe, Samsung, Sony PlayStation, and IDEO, she now advises AI infrastructure, robotics, and frontier technology ventures through OrionsWave, including Lani OS, a computing platform designed for Physical AI. Her work explores how intelligent systems can disappear into everyday life, shifting technology from objects of attention to invisible infrastructure that expands human agency, judgment, and connection.
Senior Director of GTM Strategy at Docusign; previously Director and Senior Director of Strategic Planning and Operations at Meta (Ads, Reality Labs, and Data Center/AI Infrastructure), and Director of Strategy Operations at Microsoft Azure. Expert in AI transformation of enterprise operations, having driven initiatives with up to $2B in revenue impact. Holds an MBA from UNC Kenan-Flagler and an Executive Leadership Certificate from Stanford.
Lecturer at Columbia University. Founder and former chair of California College of the Art’s Design MBA programs. Author of seventeen publications on experience design, sustainability strategy, and systemic thinking. Has argued for twenty-five years that the leaders most dangerous in complex systems are those who optimize for one metric while remaining blind to the second-order effects cascading through everything else.
Product Design Director at Meta’s Superintelligence Lab, where he sits at the intersection of product, engineering, and creative, bridging AI capability with human-centered experience. A nine-year Meta veteran who has been on the team launching Vibes and AI creation tools. Articulator of the hybrid lead-IC model: the argument that senior leaders in the AI era must maintain genuine hands-on engagement with the technology, not just strategic oversight of it.
He has spent two decades redefining the relationship between people and machines — from how we see (HoloLens at Microsoft), to how we move (Zoox), to how we think (Gemini at Google/DeepMind).
First design executive at Yahoo, then Google’s first VP of User Experience during its most consequential design era, then Design Partner at Khosla Ventures. Now a natural intelligence researcher studying the design principles embedded in living systems. Her work spans thirty years of the question: what does it mean to design for human beings rather than for engagement metrics?
Founder of Minerva University, and Founder and CEO of Minerva Project, which partners with institutions globally to scale Minerva’s evidence-based pedagogy. Previously President of Snapfish (acquired by HP). Wharton undergraduate. Built Minerva on a single uncomfortable premise: that most of what universities certify their students have learned, those students cannot reproduce six months later, and that the Intelligence Era will make that gap existential.
Professor of Linguistics and Computer Science at Stanford University. Builds and studies NLP systems while training the next generation of AI researchers and practitioners. His central intellectual contribution to this book: understanding every line of code does not mean you can predict emergent behavior at scale. The gap between mechanism and outcome is not a technical problem. It is a humility problem.
Former Director of Design at Apple (Online Store and Retail), Head of Product Design at Pinterest, and SVP of Design at ThoughtSpot. Now an executive advisor, keynote speaker, and author. Spent four decades thinking about the intersection of software and human behavior; known for his insistence that taste, not metrics, is the irreducible leadership responsibility in design.
AUTHOR SHORT BIO
The bottleneck was never computational.
Silvio Sangineto works in Silicon Valley, where ideas become roadmaps, roadmaps become products, and decisions about technology quickly become decisions about people.
He is the founder of Lift Leaders, where he runs an AI-Native leadership platform and coaches founders and executives through the shift AI is forcing on their organizations. He is also a Principal Design Manager at Microsoft and an Adjunct Lecturer at Stanford, and his work sits where artificial intelligence, product experience, and leadership meet: helping teams turn emerging technology into products, and helping organizations prepare for what that technology changes.
The book began with a gap he kept meeting in his own work — systems moving faster than the judgment of the people deploying them. Watching leaders spend ninety minutes debating whether a model was accurate enough to ship, and ninety seconds on what it would do to the people who depended on it, convinced him the bottleneck in the Intelligence Era was not computational. It was human. He calls it the Human Readiness Gap.
Silvio was born in southern Italy and lived and worked across several countries before making Silicon Valley his home. That distance between two worlds — one shaped by technology’s acceleration, the other by a deeply human sense of work and community — still shapes how he thinks about progress.