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In the Agentic A.I. Era, Data Control Becomes a Product Advantage

The next phase of A.I. will depend on agents that understand preferences, remember context and act proactively. That creates a new strategic question for companies: how much control are they willing to give A.I. platforms over the data powering those experiences?

For years, companies have understood that data can be a competitive advantage. Customer information, proprietary processes and institutional knowledge help organizations build products and services that competitors cannot easily replicate. As A.I. agents become more capable—and as A.I. approaches yet another inflection point—control over that data will become even more consequential.

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The first phase of A.I. was about generating information. Systems like ChatGPT could answer questions, summarize documents and create content based on what a user provided. Today, we’re in the second phase, where A.I. can take action at a user’s request. Coding agents can write and modify software, while A.I. systems can increasingly operate across applications and complete multi-step tasks. The next phase will be marked by AI. agents that act proactively: identifying what a user needs and acting before the user explicitly asks.

That shift will require a fundamental change in how A.I. systems understand the people they serve. An agent that acts proactively needs to infer intent without explicit instructions. It needs to understand preferences, remember previous decisions and have enough........

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