Criteo views the "human in the loop" not as a fallback but as a fundamental design requirement for all AI systems. Their development process explicitly focuses on identifying the correct place for human intervention and decision-making, believing that full automation is both risky and less effective.

A major risk of AI is reps will "outsource human judgment," losing the intuition that defines top performers. The correct mental model is to treat AI as a "thought partner"—a tool to accelerate research and test ideas, while the human remains responsible for strategic decisions.

Once companies achieve scale and efficiency through AI, the strategic conversation will pivot. The new competitive advantage will be intelligently deploying human employees at critical moments to provide a valuable 'human touch,' ensuring customers don't feel they are in a 'robot wasteland.'

The core question isn't whether AI is capable of a task, but whether an AI-only solution meets the market's demand for trust, accountability, and relationship. This reframes the debate from a technical capability issue to a service design problem, highlighting where human involvement remains essential and valuable.

AI models lack access to the rich, contextual signals from physical, real-world interactions. Humans will remain essential because their job is to participate in this world, gather unique context from experiences like customer conversations, and feed it into AI systems, which cannot glean it on their own.

The primary danger of AI in product management isn't technical failure but the abdication of critical thinking. Over-relying on AI summaries of user feedback means missing the crucial 'color' and context. Leaders risk losing their direct connection to the customer's voice by outsourcing their thinking to an LLM.

Even cutting-edge AI companies are discovering that landing large enterprise deals requires a non-scalable, high-touch customer success model with top-tier consultants. This contradicts the pure automation narrative and shows human expertise remains crucial for complex, high-value B2B relationships.

Despite AI's capabilities, it lacks the full context necessary for nuanced business decisions. The most valuable work happens when people with diverse perspectives convene to solve problems, leveraging a collective understanding that AI cannot access. Technology should augment this, not replace it.

AI will handle predictable, repeatable CX tasks, making human roles more valuable, not obsolete. Humans will focus where AI fails: managing emotional nuance, resolving conflict, guiding high-impact decisions, and building genuine trust. AI creates space for people to be advisors and relationship builders.