AI has started to automate how brands interact with consumers, but many marketing organizations are handing over the reins before they have built a trusted, accurate view of their audience. That warning comes from Matt Tipperreiter of Experian and John Oronte of AtData, who argue that identity has become the most critical asset a marketer owns in the AI era.

The two executives frame the stakes plainly. The defining question in ad tech, as they put it, is: who is teaching AI who your customers are?

What does this change for marketers?

For practitioners, the shift is straightforward. Every automated decision — targeting, personalization, activation — now inherits the quality of the identity data behind it. If that data is stale or fragmented, the AI scales the error rather than correcting it. Tipperreiter and Oronte name two disciplines that decide the outcome: data freshness and interoperability.

• Data freshness. Audience records decay as customers move, change devices and update preferences. Fresh signals keep the AI's picture of the customer current.
• Interoperability. Identity data must move cleanly across systems and partners, so the same trusted view feeds every AI-driven interaction.

The argument echoes a broader pattern in the trade: as automation takes over execution, the competitive edge moves to the inputs. Brands that treat identity as a maintained asset, not a one-time fix, give their AI something worth acting on. Brands that do not will automate on top of an unreliable foundation.

The AdExchanger piece positions the Experian–AtData pairing itself as part of the story, with a credit data veteran and an identity resolution provider making a shared case that accuracy must precede automation.

The practical takeaway for marketing teams is sequencing: establish the trusted audience view first, then let AI operate on it. As automation spreads through the ad stack, the brands that answer the identity question earliest will be the ones whose AI actually knows who their customers are.