OpenAI's foray into advertising in its popular chatbot ChatGPT has sparked concern among competitors and experts, highlighting the tension between monetizing a service that relies on user trust. The move is part of a broader trend among large AI companies to explore new revenue streams, despite soaring valuations and substantial losses.
While OpenAI claims that ads will not influence a chatbot's answers, critics argue that separating advertising from AI outputs may prove more challenging in practice. "It carries a high risk of feeling intrusive if a brand interrupts a helpful A.I. conversation with an unsolicited pitch," says Gilad Bechar, co-founder and CEO at Moburst. The ad might not belong in the chat, he warns.
The introduction of ads is also being seen as part of a broader push by AI companies into more sensitive areas, such as healthcare, where accuracy and reliability are paramount. Critics argue that business models based on targeted advertising can create dangerous incentives for user privacy. "OpenAI is starting down a risky path," says Miranda Bogen, director of the AI Governance Lab at Center for Democracy and Technology. "Even if A.I. platforms donβt share data directly with advertisers, business models based on targeted advertising put really dangerous incentives in place when it comes to user privacy."
Women are also expected to be particularly affected by the introduction of ads in ChatGPT, according to Shampaigne Graves, a women's consumer expert and founder of Boldifi. Women are more likely to recognize AI's societal risks and inequities and may be less tolerant of advertising on platforms they use for entertainment.
Google is pursuing its own commercial strategy with the launch of a shopping feature in Gemini that allows users to buy items directly inside the app. The move raises questions about bias and conflicts of interest, highlighting the need for greater transparency and regulation in AI-driven advertising.
The introduction of ads marks a new frontier in the quest for revenue among large AI companies, despite concerns about user trust and privacy. As the industry continues to evolve, it will be crucial to strike a balance between monetization and user welfare.
While OpenAI claims that ads will not influence a chatbot's answers, critics argue that separating advertising from AI outputs may prove more challenging in practice. "It carries a high risk of feeling intrusive if a brand interrupts a helpful A.I. conversation with an unsolicited pitch," says Gilad Bechar, co-founder and CEO at Moburst. The ad might not belong in the chat, he warns.
The introduction of ads is also being seen as part of a broader push by AI companies into more sensitive areas, such as healthcare, where accuracy and reliability are paramount. Critics argue that business models based on targeted advertising can create dangerous incentives for user privacy. "OpenAI is starting down a risky path," says Miranda Bogen, director of the AI Governance Lab at Center for Democracy and Technology. "Even if A.I. platforms donβt share data directly with advertisers, business models based on targeted advertising put really dangerous incentives in place when it comes to user privacy."
Women are also expected to be particularly affected by the introduction of ads in ChatGPT, according to Shampaigne Graves, a women's consumer expert and founder of Boldifi. Women are more likely to recognize AI's societal risks and inequities and may be less tolerant of advertising on platforms they use for entertainment.
Google is pursuing its own commercial strategy with the launch of a shopping feature in Gemini that allows users to buy items directly inside the app. The move raises questions about bias and conflicts of interest, highlighting the need for greater transparency and regulation in AI-driven advertising.
The introduction of ads marks a new frontier in the quest for revenue among large AI companies, despite concerns about user trust and privacy. As the industry continues to evolve, it will be crucial to strike a balance between monetization and user welfare.