"ChatGPT Pulse Offers Crypto Insights—But Can AI Advice Be Trusted?"
OpenAI has introduced ChatGPT Pulse, a new feature designed to deliver personalized daily updates to users, including tailored insights for crypto traders [1]. Launched as part of OpenAI’s broader shift toward proactive AI assistance, Pulse synthesizes chat history, user preferences, and connected apps like Google Calendar and Gmail to generate morning briefings [4]. The feature is currently available to Pro subscribers, with plans to expand to Plus users in the future [1]. Pulse aims to reduce the burden on users by proactively delivering updates, such as crypto market news, local events, or language-learning recommendations, without requiring direct queries [1].
The tool operates by analyzing user interactions overnight and presenting concise, visual "cards" that users can expand for detailed information. For crypto traders, this includes market updates, news, and potential trading signals. However, OpenAI emphasizes that Pulse is not a substitute for professional financial advice. The company explicitly warns against relying on its models for investment decisions, citing the inherent risks of AI-generated financial guidance [1].
Pulse integrates with external services to enhance personalization. For instance, it can access Gmail and Google Calendar data to surface relevant emails, suggest meeting agendas, or recommend travel plans based on a user’s schedule [3]. Users can also provide feedback via thumbs-up/down ratings to refine future updates [4]. OpenAI’s CEO of Applications, Fidji Simo, described Pulse as a step toward democratizing access to "asynchronous AI support," a model typically reserved for high-net-worth individuals [3].
The growing reliance on AI for financial decisions is reflected in recent survey data. A Finder study revealed that 16% of UK investors use AI for stock advice, while 15% employ it for crypto trading tips. Notably, 40% of respondents used AI for personal finance guidance, such as budgeting or credit-score analysis, with higher adoption rates among Gen Z and Millennials [1]. However, AI-driven recommendations are not without flaws. An experiment by Cointelegraph demonstrated that ChatGPT’s crypto advice in 2025 included a failed memecoinMEME-- (Little Pepe) as part of a $100 allocation strategy, underscoring the volatility of AI-generated insights [1].
The rise of AI in trading has spurred a burgeoning robo-advisory market. Research and Markets projects this industry will grow from $61.75 billion in 2024 to $470.91 billion by 2029, driven by demand for automated, algorithmic financial tools . ChatGPT’s Agent mode, launched in July 2025, further exemplifies this trend by automating tasks like on-chain analysis, sentiment tracking, and portfolio management. Users can execute trades via API keys from platforms like Binance or Coinbase, though manual approval is required for irreversible actions [2].
Despite its potential, AI-driven trading carries risks. A Reuters report highlighted that while an AI-selected stock basket outperformed UK top funds by nearly 55% in 2025, such success depends on users’ ability to interpret data critically. The report noted that AI tools may misquote figures, overemphasize historical trends, or lack access to paywalled data, all of which could lead to flawed decisions . OpenAI mitigates these risks through safety measures, including manual approval gates and restricted terminal access, to ensure user control remains central to the process [2].
OpenAI’s Pulse and Agent features reflect a broader industry shift toward agentic AI—systems capable of autonomous decision-making within defined boundaries. These tools are part of a growing ecosystem of AI-driven financial services, from algorithmic trading bots to hybrid advisory models that combine human expertise with machine learning. As the market evolves, regulators and firms are likely to focus on balancing innovation with safeguards to protect investors from AI’s limitations [2].
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