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*SEC COMMISSIONER PEIRCE SAYS POTENTIAL ONCHAIN STOCK TRADING EXEMPTION WOULD LIKELY BE LIMITED IN SCOPE *SEC'S PEIRCE SAYS CONTEMPLATED EXEMPTION WOULD APPLY TO TOKENIZED VERSIONS OF EXISTING PUBLIC EQUITIES, NOT SYNTHETICS *SEC'S PEIRCE INDICATES TOKENIZED PRIVATE COMPANY SHARES NOT ENVISIONED UNDER POTENTIAL EXEMPTION




BOT: Public Market Access to Private Robotics Companies Introducing RoboStrategy: RoboStrategy, Inc. (Nasdaq: BOT) is a closed-end management investment company providing concentrated exposure to robotics and physical AI. The fund is designed to give public market investors exposure to a portfolio that aims to include the most promising private, pre-IPO, and public robotics and physical AI companies. It bridges a structural gap between where robotics innovation is occurring (largely in private markets) and where most investors can access exposure (public markets). The fund seeks to provide investors with access to a sector that has traditionally been limited to venture capital, and aims to provide exposure to companies that may stay private for longer. -- The Core Insight We believe the robotics industry is at an inflection point, with physical AI and robotics increasingly being applied to labor-constrained global industries such as manufacturing, logistics, and services. According to the International Labor Association, labor accounts for approximately 52% of global GDP.¹ According to Statista, global GDP in 2025 was $118T.² This represents an implied global labor market size of roughly $60T. At the same time, this labor base is increasingly constrained: Korn Ferry projects a global shortage of 85.2 million skilled workers by 2030, including a 7.9 million worker deficit in manufacturing alone.³ Deloitte and The Manufacturing Institute estimate the US could need 3.8 million new manufacturing workers by 2033, with 1.9 million of those roles at risk of going unfilled.⁴ Physical AI and robotics are emerging as a primary means of closing that gap. While public markets currently offer indirect exposure to robotics through diversified technology companies, much of the value creation is occurring in private companies that remain inaccessible to most investors. -- Portfolio Focus The portfolio focuses on what the fund believes are category-defining robotics and physical artificial intelligence innovators, including Figure AI, Apptronik, Dyna Robotics, Standard Bots, Dexmate, and other pioneers advancing autonomous systems, machine perception, and human-machine collaboration. The managers of the fund seek to optimize returns by actively managing the portfolio and continuing to make new investments in leading private robotics companies. -- The Ambition The fund's long-term goal is to grow into a significant public-market vehicle for robotics investing, providing public-market access to private innovation in the sector. -- Footnotes & Disclosure: ¹ International Labour Organization, World Employment and Social Outlook: May 2025 Update. ilo.org/sites/default/… ² Statista, Gross domestic product (GDP) in current prices worldwide. statista.com/statistics/268… ³ Korn Ferry, Future of Work: The Global Talent Crunch. kornferry.com/about-us/press… ⁴ Deloitte & The Manufacturing Institute, Taking charge: Manufacturers support growth with active workforce strategies, April 2024. www2.deloitte.com/us/en/pages/ab… RoboStrategy, Inc. (Nasdaq: BOT) is a closed-end fund registered under the Investment Company Act of 1940. This content is for informational purposes only and does not constitute investment advice or an offer to buy or sell securities. Investing involves substantial risks, including possible loss of principal. The fund invests in robotics, physical AI, emerging technologies, and private companies, which may involve heightened volatility, limited liquidity, valuation uncertainty, and concentration risk. References to portfolio companies are illustrative only, do not represent all investments made by the fund, and are not investment recommendations. Portfolio holdings are subject to change. Forward-looking statements are inherently uncertain. See the prospectus and SEC filings for additional information.

Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better. This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.

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