AI Governance Has to Live in the System, Not the Policy Deck
AI governance fails in workflows, not policy decks. Here is how to design controls into permissions, retrieval, approvals, audit trails, escalation paths and rollback triggers.
Forward Deployed Engineers: look past the job title
OpenAI's Deployment Company has put the Forward Deployed Engineer back in the spotlight. The role matters, but a vendor FDE and an independent partner solve different problems. Here's how to tell which one you need first.
What Nvidia's $70 Billion Retreat Tells Us About Where AI Is Heading
Nvidia just slashed its OpenAI commitment from $100B to $30B and signaled its Anthropic investment will be the last. The official reason is IPOs. The real signal is a fundamental reshaping of who controls the AI stack - and what that means for every enterprise building on it.
The Cost of Waiting: Why AI Inaction Is Now a Strategic Liability
BCG data shows AI leaders achieving 1.7x revenue growth and 3.6x shareholder returns over laggards. The gap isn't closing - it's compounding. Here's why 2026 is the year waiting stops being cautious and starts being reckless.
Why Your AI Strategy Should Include Open-Source Models
Open-source LLMs are closing the gap with proprietary frontier models fast - with 86% lower costs and performance parity projected by mid-2026. Enterprises that ignore them are leaving money, flexibility, and control on the table.
Cloud 3.0: Why Enterprises Are Rethinking Everything
The rush to cloud is over. Now comes the hard part - optimizing costs, navigating multi-cloud complexity, and building architectures that actually serve AI workloads.
The Real Cost of AI at Scale
Token costs dropped 280-fold in two years - yet enterprise AI bills are hitting tens of millions. Here's why the economics of AI break at production scale, and how to fix them.
Why Digital Transformations Still Fail
Despite $3.9 trillion in global spending by 2027, the failure rate holds at 70%. After leading dozens of enterprise transformations, we've identified the patterns that predict failure - and the practices that prevent it.
The GenAI Divide: Why 95% of AI Investments Are Failing - and What the Other 5% Know
MIT's research puts a number on what we've been seeing in the field: only 5% of enterprise AI pilots deliver measurable returns. The divide isn't about technology - it's about strategy, focus, and knowing where the real ROI hides.
You're Buying a Hammer, but You Need a Blueprint
Another week, another dozen AI tools promising to change everything. The pace is dizzying - but the companies winning with AI didn't start by picking a tool. They started with a plan.
Your Business Deserves the Good Life: Let AI Handle the Routine
My dogs have it made - food on demand, health cared for, every need anticipated by their 'super-intelligent servant.' That effortless existence is exactly what AI-powered operations deliver for businesses that commit to automating the routine.
Want insights delivered to you?
Join enterprise leaders receiving our monthly perspectives on strategy and operational excellence.
No spam. Unsubscribe anytime.