WASHINGTON, D.C. — MIT professor Sherry Turkle warned Wednesday that the growing habit of addressing chatbots with personal pronouns may be eroding the boundary between human cognition and machine output, a development she says could have far‑reaching consequences for business, policy and investors.

Turkle, author of *Alone Together*, cited a recent Stanford study that found 62 percent of respondents regularly use “I” or “me” when speaking to conversational agents such as ChatGPT or Google Gemini. “When we grant machines the illusion of personhood, we risk normalising a relationship that bypasses critical thinking,” she said at a press briefing hosted by the Center for Digital Innovation.

Industry analysts note that the shift is already reflected in market dynamics. Global AI spending topped $136 billion in 2023, and venture capital firms have poured $45 billion into chatbot‑related startups since 2021. “Investors are excited about user engagement metrics, but they may overlook the reputational risk of products that blur ethical lines,” warned Alex Rivera, a senior partner at Meridian Capital.

Regulators in the European Union are drafting amendments to the AI Act that could require developers to disable self‑referential language unless explicitly disclosed. In the United States, the White House’s Office of Science and Technology Policy is expected to release guidance on “AI personhood” by early 2025, aiming to protect consumers from deceptive AI interactions.

Corporate leaders are responding cautiously. A spokesperson for a major cloud provider told reporters that its next‑generation chatbot will default to third‑person references and include a mandatory disclaimer. “Our clients need transparent tools that support decision‑making without masquerading as a conversational peer,” the spokesperson said.

Key Takeaways

• Experts warn that using personal pronouns with chatbots may impair critical judgment and raise ethical concerns.
• AI investment remains robust, but investors are being urged to consider regulatory and reputational risks.
• Policy makers in the EU and US are moving toward stricter disclosure requirements for AI agents.

As the line between human dialogue and algorithmic response continues to blur, businesses, regulators and investors will need to balance innovation with safeguards that preserve clarity about what is, and is not, a sentient interlocutor.