webinars

Anthropic’s Surge & The Potential Benefits of Pre-IPO Exposure in AI ETFs

Tuesday, October 7, 2025
10:00 am - 11:00 am EDT

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Event Details:

Anthropic’s Surge & The Potential Benefits of Pre-IPO Exposure in AI ETFs
Tuesday, October 7, 2025
10:00 am - 11:00 am EDT

Anthropic just surged, but most ETFs missed out. The foundational AI model developer recently completed a funding round valuing it at $183 billion, nearly triple its prior valuation of $61.5 billion, according to Reuters. Yet, since this growth took place in the private markets, many traditional ETFs did not participate. The KraneShares Artificial Intelligence & Technology ETF (Ticker: AGIX) was created to provide exposure to the evolution of AI growth across both public and private markets, including companies like Anthropic and xAI.

AGIX uses an AI exposure score to identify and incorporate key inflection points early in the AI adoption cycle, moving across the AI value chain, including hardware, infrastructure, and application companies. AGIX completed its one-year track record in July 2025 with attractive performance relative to the Nasdaq 100 and S&P 500.

Join Etna Capital Partners Solomon Bier and Max Chen and KraneShares Senior Investment Strategist Derek Yan, CFA, as they discuss:

  • The outlook for AI public equities in 2025 and beyond
  • Updates on leading private AI companies including Anthropic and xAI
  • Key trends in enterprise AI and agentic AI and their investment implications
  • A review of AGIX's performance and its positioning across public and private AI markets
  • Comprehensive Q&A

Investors can submit questions by emailing [email protected]

1 CFP/CIMA Credit Available

Please email [email protected] to receive credit.

For AGIX standard performance, top 10 holdings, risks, and other fund information, please click here.

High short-term performance from a limited number of the fund’s holdings is unusual, and investors should not expect such performance to be continued over the long term. The holding and the Fund’s past performance does not guarantee future results.