Anthropic, the San Francisco-based artificial intelligence research company founded in 2021, has become one of the leading independent developers of large language models in the rapidly growing AI sector. The company's potential path toward an initial public offering represents a significant moment for understanding how the market values cutting-edge AI development and commercial potential. This collection of six prediction markets explores two closely related questions about Anthropic's near-term future: whether the company will complete an IPO by June 30, 2026, and if so, at what valuation the market will assign at its debut. The first market addresses the fundamental timing question, while the remaining five markets subdivide potential valuations into distinct brackets—$600 billion or more, $400–600 billion, $200–300 billion, $100–200 billion, and below $100 billion. By grouping these outcomes together, market observers and analysts can construct a complete probability distribution of expected results rather than examining valuations in isolation. When reviewing the market prices displayed below, pay close attention to what each price reveals about collective expectations. A high price on the 'No IPO by June 30' market indicates skepticism about near-term public listing plans, while prices on specific valuation brackets signal where participants believe Anthropic's opening valuation would most likely fall. The distribution of prices across valuation markets is particularly informative: if higher brackets show strong participation, it suggests confidence in Anthropic's premium valuation within the AI sector; if lower brackets command more support, market participants may be pricing in a more conservative valuation approach or uncertainty about sustained growth. These interconnected markets enable participants to express nuanced perspectives—for example, anticipating an IPO at a lower valuation than consensus predicts, or expecting delays in the public listing timeline entirely. The collective price signals reflect real-time assessments of regulatory conditions, competitive positioning, investor appetite for pure-play AI companies, and macroeconomic factors shaping technology sector valuations.