Distribution May Defeat Intelligence: Google, Meta, Microsoft and Apple’s Hidden Advantage
Why Google, Meta, Microsoft and Apple can turn devices and everyday apps into an AI distribution advantage, and how enterprises should assess the tradeoffs.
AI productivity
The AI Productivity Measurement Trap: Why Token Counts, Copilot Usage, and Code Volume Can Mislead the Board
TL;DR AI adoption data is not the same as productivity evidence. Licenses assigned, active Copilot users, prompts submitted, tokens consumed, suggestions accepted, and lines of code generated can show that a tool is available and being used. They do not prove that the organization improved revenue, customer experience, end-to-end cycle time, quality, operating margin, or … Explore: The AI Productivity Measurement Trap: Why Token Counts,…
AI Is Coming for Inefficiency: How Enterprise Leaders Should Redesign Work Before Automating It
AI Is Coming for Inefficiency: How Enterprise Leaders Should Redesign Work Before Automating It AI is not just another technology wave waiting for a procurement cycle, a license rollout, and a few enablement sessions. It is a pressure test on the way work actually moves through the enterprise. That is why Gartner’s framing matters. The … Explore: AI Is Coming for Inefficiency: How Enterprise Leaders…