AI is supposed to save time. The part we rarely measure is how much of that time gets spent making sure the answer deserves to be trusted. [...]
Fifty-six percent of CEOs report neither higher revenues nor lower costs from AI over the past year. In the same period, Gallup found that among employees applying [...]
The model stopped being the differentiator, but what replaces it is less stable than most of the current commentary suggests. Frontier capability is replicable within months, not [...]
On July 2, Microsoft announced it was spending $2.5 billion to embed roughly 6,000 engineers, industry specialists, and technical consultants directly inside client companies. The unit is [...]
Most conversations about AI deployment focus on capability: what can the model do, how fast can it work, how much can it automate. The harder question, the [...]
Your team just deployed an AI assistant. Two weeks in, it's confidently giving customers wrong answers, not because the AI is broken, but because no one taught [...]