The Market Is Moving. Fast.

One group uses AI to automate tasks — faster outputs, incremental gains, value that disappears when the associate walks out the door. The other uses it to improve the foundation their business runs on, compounding in nature. Both look like "AI adoption" from the outside, but only one leads to defensible long term value.

As AI makes interfaces and entire software categories interchangeable, durable advantage shifts to what's underneath: clean, structured, proprietary data. Companies investing in their data foundation now are building a moat, widening the gap between them and their competitors.

Boards are asking for it, so it gets built — but the ROI question remains open for most organizations. The conversation is whether AI initiatives are creating real operational leverage or just satisfying a governance checkbox. The answer isn't found in a slide deck.

OpenAI and Anthropic are both building forward-deployed teams — people who go on-site, learn the business, and make the technology work in context. Even the best models require customization, integration, and judgment to deliver value. The off-the-shelf promise was always overstated.

Clients are pushing back on time-and-materials engagements as AI compresses hours required for knowledge work. Firms that haven't rethought their engagement model are feeling it, and the ones who have are positioning around outcomes, not effort.