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The Privacy Economy’s Next Frontier Is Governing A.I.

The A.I. arms race has made models largely interchangeable, putting proprietary data back at the center of competitive advantage. But connecting A.I. to that data creates a new problem: companies need to know what their systems can access, what they can do and where information goes.

For most of the last decade, the advantage in software came down to one thing: data. Companies invested heavily in building and leveraging proprietary datasets because they understood that information accumulated over years made their product defensible. Then generative A.I. arrived, and the narrative shifted. Suddenly, the assumption became that whichever company had access to the best models would dominate its industry. Organizations raced to put A.I. into the hands of every team. That assumption hasn’t aged well. 

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Models improve fast, and they spread just as quickly. Whatever edge a frontier model gives you, your competitor has likely adopted the same model, or something comparable, within weeks. And so we’re back to data. The information your business accumulates over the years is an asset nobody else has. The companies that succeed are the ones able to most effectively leverage their proprietary data for use through A.I. That leaves all companies facing two questions that often pull in opposite directions: 

How can we connect A.I. to our data? 

How can we protect our data from A.I. misuse?

Connect first, govern later

The first wave of A.I. was about acceleration and answering the first question.........

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