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How to Save Money Now with ChatGPT Finances

Sep 20, 2026· 45 min· 11K views·Watch on YouTube

Speaker

Ethan Bloch, product lead for ChatGPT Finance at OpenAI, joins Peter Yang on the Peter Yang channel to demonstrate personal finance use cases and discuss how AI can help people manage money.

Find recurring charges and fees

Bloch recommends connecting financial accounts and email so ChatGPT can review subscriptions, spot duplicate charges or price increases, and help contact merchants. He demonstrates a 90-day review prompt and says scheduled checks can flag subscription changes each month. He describes the account connection as read-only and says raw transaction and balance data is not used for training.

Use the finance dashboard and alerts

The dashboard shows spending by category, net worth, investment movements, upcoming cash flow, subscriptions, and bills. Bloch says users can correct transaction categories through the interface or chat, and receive a weekly finance update by email or push notification. Users can also set alerts, such as a warning when monthly DoorDash spending approaches $1,500.

Look for tax and investment savings

Bloch shows how to ask ChatGPT for tax-saving ideas, estimate possible savings, visualize recommendations, and turn them into a to-do list. He also suggests comparing ETFs and mutual funds for lower-fee alternatives, and reviewing credit card use against rewards and benefits. The finance account connection is available to U.S. users, while people elsewhere can still use connected documents, email, and web search.

Model major financial decisions

Yang describes building interactive sites to explore taking six months off and buying a house, with adjustable assumptions and savings scenarios. Bloch says similar models can help with retirement planning and other decisions, and that users can provide information manually or upload statements when accounts are not connected. The examples are intended to help people compare options and discuss decisions with family.

Schedule reviews and build the product

Bloch describes recurring tasks for subscription checks, household spending reports, and monitoring idle cash. He says financial institutions may block agents from taking investment actions, so execution can vary. Later, he discusses a finance team that shipped 47 changes in seven days and a workflow where engineers use prototypes and AI agents to move from high-level discussions to implementation.

Takeaways

  • Reviewing subscriptions and duplicate charges can uncover small, recurring savings.
  • Connect only the financial context needed for a task, and check privacy settings for conversation data.
  • Turn recommendations into a concrete checklist so follow-up actions are easier to track.
  • Use adjustable models to compare financial scenarios with family before making a major decision.
  • Treat AI financial analysis as decision support and verify details before acting.

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