7 posts connected to this topic.
Enterprises are abandoning tokenmaxxing for AI efficiency after Uber and Lindy reined in spending. Here is what the shift to model routing means for your budget.
AI coding tools hit 97 percent enterprise adoption, but only 30 percent of teams govern the code they produce. Here is why that gap is a business risk.
OpenAI's May 6 B2B Signals report finds frontier firms use 3.5x more AI per worker than typical firms, driven by depth and agentic workflows, not volume.
Gartner's April 16, 2026 research finds successful AI initiatives invest up to 4x more in data foundations. Here is what that means for your AI budget.
80% of enterprise workers are avoiding or sabotaging AI tools. The problem is not fear of job loss. Here is what is actually going wrong and how to fix it.
PwC's April 13 AI Performance Study finds 20% of companies capture 74% of AI value. Here is what AI leaders do differently and how to close the gap.
A practical framework for measuring AI investments against defined baselines, business outcomes, total operating cost, and risk.
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