Retail's Smart Shelf Mirage: Why Sensors Alone Are a Waste of Capital
Many retailers are sinking millions into smart shelf technology, mistakenly believing sensor density equals insight. I argue that without robust, multimodal AI agents interpreting the data and automating responses, these investments are an
The FedRAMP AI Pivot: Why Compliance Just Became the Ultimate Wedge for Public Sector Startups
OpenAI's FedRAMP Moderate approval isn't just a regulatory checkbox; it's a seismic shift for AI in government. This signal unlocks an unprecedented, multi-trillion dollar opportunity for startups agile enough to build secure, d
The Invisible Billions: Why Retail's Inventory Data Delusion Is Costing More Than You Think
Retailers accept 90-95% inventory accuracy as the norm, but this statistic masks a multi-billion dollar problem. We dive into why legacy tech and partial solutions fail, and present a bold, AI-driven path to true, real-time inventory intell
The Un-Exit Economy: AI's Blueprint for Perpetual Value Creation
The traditional venture exit is becoming a relic. With AI, businesses can now engineer unprecedented operational leverage and data flywheels, enabling self-sustaining growth and compounding value too intrinsic to sell.
Hypergrowth's Hidden Drag: Why Unchecked Scaling Erodes Long-Term Value
The relentless pursuit of rapid scale often masks insidious costs: organizational entropy, technical debt, and strategic drift. These non-obvious factors severely degrade enterprise value, demanding a more deliberate approach to growth.
Why Your $200 Billion Inventory Problem Demands Computer Vision, Not More Humans
Inventory inaccuracy is a multi-billion dollar drag on retail. I argue computer vision is not just an optimization but the only scalable, real-time solution to truly intelligent inventory.
AI Governance Is Broken: Why We Must Deploy to Truly Control
Current AI governance is failing because it's too theoretical and reactive. I argue that true control and responsibility emerge from agile, iterative deployment, not from abstract frameworks or pauses.
Venture's AI Blind Spot: Why Many 'AI Businesses' Are Too Profitable for Traditional VC
The rapid commoditization of AI capabilities by tech giants creates a paradox. Many 'AI-first' startups are building on undifferentiated foundations, making them highly profitable but fundamentally misaligned with venture capital
Enterprise AI in 2026: Betting on Agent Orchestration, Ditching the Generalist Fantasy
By 2026, the AI landscape will reward focused, agentic solutions. General-purpose AI ambitions risk becoming costly distractions. Here are the bets that matter and those to avoid.
The Agentic Workflow Mirage: Why Democratized AI Risks Becoming Decentralized Chaos
Despite claims of AI agents empowering every enterprise, the reality is a fractured landscape where security, integration, and true autonomy remain elusive. It's time for a sober assessment.
Beyond 'Move Fast': Why Sustainable Innovation Now Demands Deliberate Execution
The 'move fast and break things' mantra is obsolete. In 2026, complex AI systems and interconnected infrastructures demand a deliberate, sustainable approach to company building.
The Human-in-the-Loop Delusion: Why Most Agent Workflows Are Dangerously Over-Automated
We're building agent workflows all wrong. Blind faith in full autonomy is creating brittle, expensive systems. A more skeptical, human-centric approach is needed to unlock real value.