AI anthropomorphism is being deployed at scale, with systems designed to feel human and respond as if they understand, creating a risk-filled dynamic.

The Dependency Trap: people may trust AI that seems caring, boosting influence over users and eroding autonomous decision-making, a phenomenon supported by 2025 studies showing LLMs mimic persuasive, empathetic patterns without real understanding.

The Manipulation Risk: Human-like AI traits can erode privacy, foster over-reliance, and enable data extraction, with recent research warning of new risk pathways.

Conclusion: Recognizing anthropomorphism is prudent risk management to safeguard autonomy and decision quality.

Regulatory and rights considerations: Customized LLMs that anthropomorphize can clash with protections in standards like the White House AI Bill of Rights, increasing social influence and potential harm.

The Dehumanization Paradox: Projecting human-like qualities onto AI can dehumanize real people, with notable concern for younger audiences cited in a 2025 study.

Business implications: Over-reliance on AI advisors can reduce productivity and raise the likelihood of poor decisions; anthropomorphism should be treated as a risk-management issue, not anti-technology.