Charles Schwab Corp

•Introduced Portfolio Insights, a generative AI-powered capability that helps investors understand portfolio performance (3)

(3) Portfolio Insights (Insights) is a generative artificial intelligence feature designed to provide: (1) a narrative snapshot of a client’s Portfolio’s Day Change performance as of now versus the prior trading day’s close; (2) a recap of recent news about the top S&P 500® equity movers (up to five securities) most affecting the value of a client’s portfolio; and (3) snippets of the day’s Schwab Center for Financial Research and other Schwab expert content related to a client’s portfolio. The summaries can be refreshed throughout the day. Insights into specific securities are not necessarily representative of a client’s portfolio. The securities referenced to prepare each Insight vary and certain asset types are excluded. Insights should not be construed as investment advice or recommendations and are for informational and educational purposes only. Generative AI output may be inaccurate, containing hallucinated, stale, or incomplete information. Clients should consult their Account Statement(s) for complete account information. For more information about Schwab Portfolio Insights, please visit https://www.schwab.com/legal/portfolio-insights-disclosure.

Our business involves the secure processing, storage, and transmission of confidential information about our clients and us. Information security risks for financial institutions are increasing, in part because of the use of the internet and mobile and cloud technologies to conduct financial transactions, and the increased sophistication and activities, including the use of artificial intelligence technologies, of organized crime, activists, hackers and other external parties, including foreign state actors. Our systems and those of other financial institutions, as well as those of our third-party service providers, have been and will continue to be the frequent target of cyber attacks, malicious code, computer viruses, ransomware, and denial of service attacks that could result in unauthorized access, misuse, loss or destruction of data (including confidential client information), account takeovers, unavailability of service or other events. Despite our efforts to ensure the integrity of our systems, we may not be able to anticipate or implement effective preventive measures against all security breaches of these types, especially because the techniques used change frequently or are not recognized until launched, and because security attacks can originate from a wide variety of sources. Data security breaches may also result from employee misconduct. Data exposure may also result from a failure to adequately destroy data during system or asset decommissioning, which might result in client or Company information being made available to external parties in error.

The risk of fraud for financial institutions has significantly increased in recent years, in part because of the proliferation of new technologies and the increased sophistication and activities of organized crime and hackers, and other parties. Any of these parties may attempt to fraudulently induce employees, clients, vendors, or other third parties to disclose sensitive information that could lead to the misappropriation and use of clients’ user names, passwords or other personal information to gain access to our clients’ financial accounts. Through our clients’ accounts, fraudsters may seek to engage in unauthorized securities transactions or money movement involving, for example, wire transfers, automated clearinghouse (ACH) transactions, debit cards, and checks, as well as fraudulent or unauthorized new account openings. Such fraud may occur from the compromise of clients’ personal electronic devices, social engineering, phishing scams, or as a result of a data security breach at an unrelated company where clients’ personal information is taken and then made available to fraudsters. Any of these strategies can compromise credentials or be used to facilitate fraud. Increasing sophistication in artificial intelligence and broad public availability of such technologies, including to organizations and individuals seeking to commit fraud, has resulted in increased risk of external fraud by enhanced or novel techniques, including those involving impersonation to gain access to client accounts or convince clients to initiate fraudulent transactions.

Model risk is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports. Model uses at Schwab include, but are not limited to, calculating capital requirements for hypothetical stressful environments, estimating interest and credit risk for loans and other balance sheet assets, identifying and preventing fraud and other financial crimes, and providing guidance in the management of client portfolios. Schwab manages model risk, including use of artificial intelligence, through use of policies, standards, and controls which evaluate the conceptual and technical soundness of models used by the Company. Prior to the use of any artificial intelligence, we employ procedures which require cross-functional review from applicable oversight functions. We maintain a model inventory that includes a distinct record and risk rating for each model, and we conduct independent validations, annual reviews, and performance monitoring of the Company’s models.

Our business involves the secure processing, storage, and transmission of confidential information about our clients and us. Information security risks for financial institutions are increasing, in part because of the use of the internet and mobile and cloud technologies to conduct financial transactions, and the increased sophistication and activities, including the use of artificial intelligence technologies, of organized crime, activists, hackers and other external parties, including foreign state actors. Our systems and those of other financial institutions, as well as those of our third-party service providers, have been and will continue to be the frequent target of cyber attacks, malicious code, computer viruses, ransomware, and denial of service attacks that could result in unauthorized access, misuse, loss or destruction of data (including confidential client information), account takeovers, unavailability of service or other events. Despite our efforts to ensure the integrity of our systems, we may not be able to anticipate or to implement effective preventive measures against all security breaches of these types, especially because the techniques used change frequently or are not recognized until launched, and because security attacks can originate from a wide variety of sources. Data security breaches may also result from non-technical means, for example, employee misconduct.

Model risk is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports. Model uses at Schwab include, but are not limited to, calculating capital requirements for hypothetical stressful environments, estimating interest and credit risk for loans and other balance sheet assets, identifying and preventing fraud and other financial crimes, and providing guidance in the management of client portfolios. Schwab manages model risk, including use of artificial intelligence, through use of policies, standards, and controls which evaluate the conceptual and technical soundness of models used by the Company. We maintain a model inventory that includes a distinct record and risk rating for each model, and we conduct independent validations, annual reviews, and performance monitoring of the Company’s models.

Our business involves the secure processing, storage, and transmission of confidential information about our clients and us. Information security risks for financial institutions are increasing, in part because of the use of the internet and mobile and cloud technologies to conduct financial transactions, and the increased sophistication and activities, including the use of artificial intelligence technologies, of organized crime, activists, hackers and other external parties, including foreign state actors. Our systems and those of other financial institutions, as well as those of our third-party service providers, have been and will continue to be the target of cyber attacks, malicious code, computer viruses, ransomware, and denial of service attacks that could

“Through the relentless efforts of our dedicated employees, we made significant progress on our key strategic initiatives of scale and efficiency, win-win monetization, and segmentation,” Mr. Bettinger added. “This work included ongoing preparations for the largest broker-dealer integration in our industry’s history – with the first wave of client conversions scheduled to begin next month. Throughout 2022, we also took meaningful steps to further empower investors with more personalization options, increased access to high-quality products, and an evolved suite of tools and solutions. We launched our proprietary direct indexing offering, Schwab Personalized IndexingTM (SPI), for both registered investment advisors (RIAs) and retail clients – providing them with tax-efficient, customizable portfolio management capabilities at a much lower cost than existing alternatives in the market. Additionally, we introduced our initial thematic stock lists, which assist self-directed clients in selecting stocks aligned with their personal perspectives and values. The current range of themes spans over 40 different categories, including environmental innovation, artificial intelligence, and medical breakthroughs. We also further bolstered our leading value proposition to RIAs by expanding our institutional no transaction fee mutual fund platform to include over 900 additional equity and bond funds across 16 leading third-party asset managers. Finally, Schwab’s wealth management capabilities continued to evolve with the needs of our clients, including a growing interest in fixed income. Client allocations to this asset class increased 66% versus December 2021 as they took advantage of our self-directed tools and income-focused advisory solutions such as Wasmer SchroederTM Strategies. The Wasmer team’s ability to deliver an attractive value proposition across a range of tax-exempt and taxable offers, along with rising interest rates, helped these strategies collect $7.3 billion in net flows since becoming part of Schwab in July 2020 – including $3.5 billion in 2022.”