Call My A.I. Agent
Call My A.I. Agent
Podcast27 min 50 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Treat META as a watchlist opportunity, not a confirmed buy: Muse’s millions of downloads show early interest, but not lasting usage or a profitable business. Track repeat use, monetization, and improvements in privacy and reliability before making an investment decision; no price target or timeframe was provided. Consumer AI agents are a promising theme, but the discussion did not identify a clear winning company or support trades in the other stocks mentioned.

Detailed Analysis

Meta Platforms (META)

  • Meta’s AI agent Muse is the episode’s main investment-related example. The app reportedly reached the top of the App Store rankings for several days and had downloads in the millions, giving Meta an early sign of consumer interest.
  • Meta made Muse free and was not yet earning revenue from it. The company said it may eventually take a small fee on purchases made through the agent.
  • The discussion described Meta’s advantages as its large existing user base, experience building consumer products, and ability to fund the product through its established advertising business.
  • Risks and limitations raised in the episode included:
    • Privacy and security: Users must provide access to sensitive information and accounts; the reporter was especially concerned about an agent going rogue or exposing information.
    • Reliability: Some tasks worked well, while others were slow or produced poor results, including fantasy-football advice.
    • Trust and monetization: Consumers may hesitate to give agents broad access, and the transcript offered no evidence yet that Muse can become a profitable business.

Takeaways

  • Treat Muse’s early downloads as an initial adoption signal, not proof of durable demand or a successful business.
  • For an investment view on META, track whether users keep using agents, whether Meta can monetize them, and whether it can address security and reliability concerns. No price target or stock recommendation was given.

AI Agents and Consumer AI

  • AI agents were presented as a potential step beyond chatbots: they can operate software, access accounts, and complete tasks autonomously.
  • The opportunity discussed is broad consumer adoption of assistants that handle tasks such as ordering groceries, booking travel, and waiting on hold.
  • The episode also highlighted possible downsides: agents may make mistakes, require extensive personal data, and lead users to outsource activities they could or would rather do themselves.

Takeaways

  • The discussion points to a potential growth theme in consumer AI, but it does not establish which companies will capture lasting revenue from it.
  • Evaluate the theme by watching for useful, repeatable tasks and user willingness to grant access—not just demonstrations of what an agent can do.

OpenAI and Anthropic

  • OpenAI and Anthropic were mentioned as AI competitors focused on advanced models and tools, including coding products. The episode contrasted that approach with Meta’s emphasis on a broadly accessible consumer assistant.
  • Neither company’s stock or investment terms were discussed; they are private companies rather than publicly traded stocks.

Takeaways

  • The transcript suggests competing strategies in AI—advanced tools versus mass-market assistants—but provides no basis for choosing between these companies as investments.

Other Company Mentions

  • Tesla (TSLA): A Meta executive reportedly connected an OpenClaw agent to his Tesla. This was an anecdote about agent capabilities, not an investment discussion.
  • DoorDash (DASH) and Sweetgreen (SG): Used in a demonstration in which Muse ordered lunch through a DoorDash account from Sweetgreen.
  • Wells Fargo (WFC) and American Express (AXP): Named among the financial accounts the reporter connected to Muse; no view on either company was offered.
  • AMC Entertainment (AMC): Mentioned when Muse struggled to buy a movie ticket; the reporter said the task took longer than doing it manually.
  • Amazon (AMZN): Whole Foods was mentioned in an anecdote about an agent rerouting a user to buy magnesium.
  • PayPal (PYPL): Venmo was used in a proposed repayment reminder. PayPal was not discussed as an investment.
  • Anthem Dental: Mentioned as the insurer the agent contacted. The episode did not discuss the insurer as an investment.

Takeaways

  • These companies appeared only as services or examples in the agent demonstrations. The transcript provided no investment thesis, financial outlook, or recommendation for their stocks.
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Episode Description
Over the past few weeks, millions of people have rushed to download a new type of artificial intelligence app — agents. They are useful, kind of cute and need your most sensitive personal information to work. Eli Tan, a reporter who covers technology for The New York Times, opened up his life to Muse, Meta’s A.I. agent. He explained what happened next. Guest: Eli Tan, a reporter covering the technology industry for The New York Times. Background reading:  Muse, Meta’s new A.I. agent, can send your emails and book your travel. Eli Tan said he “was blown away” by Muse after using it to perform dozens of day-to-day tasks. Photo: Gabriela Bhaskar/The New York Times For more information on today’s episode, visit nytimes.com/thedaily. Transcripts of each episode will be made available by the next workday. Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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