Your AI Investment Isn’t Paying Off Yet. Here’s Why.
Why fewer than 1 in 10 companies capture meaningful AI value — and what separates the leaders from the rest.
Read at Wharton→Insights & coverage
Original research and insights on AI transformation, organizational readiness, and the value gap. Most pieces start with data. All of them end with what to do on Monday morning.
A diagnostic framework for organizational AI readiness — built on 26 Tier-1 sources including BCG, McKinsey, Stanford HAI, and PwC. 20,000+ executives surveyed.

Why fewer than 1 in 10 companies capture meaningful AI value — and what separates the leaders from the rest.
Read at Wharton→Jeremy on the North Star Leaders podcast — why brand becomes the ultimate decision-making filter, and what happens when AI-generated content floods the market. 38 min.
Listen→Most organizations have crossed the AI commitment threshold. The problem: executives and managers aren’t operating in the same reality.
Read in Harvard Business Review→The age-old market research problem — collecting data from consumers is hard, slow, and costly. AI changes the equation.
Read in Harvard Business Review→The Wharton/GBK AI Adoption Report — enterprise leaders report on what’s working, what’s stalling, and where value is actually landing.
Read→How enterprise AI moved from experimentation to accountability — and what the data says about who’s capturing value.
Read→In the News
“There’s tension among leaders around whether AI is becoming a crutch.”
“It’s one of the fundamental questions about generative AI: Can companies put it to good use?”
“Three in four enterprise leaders report positive returns on their GenAI investments.”