2026 年 ChatGPT 要加广告了，最懂你的 AI 都开始出卖你

Core Insights - The article discusses the potential for AI, specifically ChatGPT, to incorporate advertising into its platform, with OpenAI exploring ways to prioritize sponsored content in user interactions [1][13][15] - The shift towards advertising in AI is seen as a response to financial pressures, as companies struggle to monetize their services effectively [5][19][20] - The concept of "Adblock for intelligence" is introduced, suggesting that future users may need tools to filter out embedded advertisements disguised as neutral recommendations [36] Group 1: Advertising Integration in AI - OpenAI is reportedly developing a new form of digital advertising for ChatGPT, aiming to display sponsored content in a way that minimizes disruption to user experience [13][15] - The integration of ads is viewed as a necessary step for AI companies to generate revenue amidst high operational costs and user acquisition challenges [5][19] - Google has also been mentioned in the context of potential advertising in its Gemini AI, although the company publicly denies any current plans for this [10][8] Group 2: Financial Pressures and Market Dynamics - The article highlights the financial struggles of AI companies, with OpenAI's annual revenue estimated at over $12 billion, but with expenses potentially tripling that figure [17] - The comparison is made between the current state of AI and the early days of the internet, where user growth outpaced revenue generation, leading to a reliance on advertising [7][19] - The article suggests that if multiple AI companies adopt advertising simultaneously, it could normalize the practice, reducing individual companies' fears of losing users [8] Group 3: User Trust and Experience - There is a concern that embedding ads within AI responses could undermine user trust, as users may not recognize when they are being marketed to [22][26] - The potential for "content poisoning" through optimized articles designed to manipulate AI responses is discussed, raising ethical questions about the integrity of AI-generated information [24][26] - The article emphasizes the need for users to remain skeptical of AI recommendations, as the line between genuine advice and advertising becomes increasingly blurred [36]