OpenAI Targets $852 B Valuation, 2026 IPO and Ark ETF Access as It Presses Anthropic and

OpenAI’s latest investor memo, obtained by CNBC, frames the company’s ambition in stark, quantitative terms: by 2030 it aims to command roughly 30 gigawatts of compute capacity, a figure that would dwarf Anthropic’s projected 7‑8 gigawatts by the end of 2027. The memo argues that this “infrastructure gap” is widening, positioning OpenAI’s hardware advantage as the decisive lever in the AI arms race. The same memo also outlines a roadmap to a 2026 initial public offering and signals that Ark‑managed ETFs will be the conduit for retail investors to buy into the firm’s projected $852 billion market cap, a valuation disclosed in an IndexBox report on the company’s financing plans.

While the memo targets the supply side, OpenAI is simultaneously pushing the demand side with a new “ChatGPT Projects” Academy guide. The guide, posted on the company’s blog, describes Projects as persistent workspaces that bundle chats, files, instructions and shared context into a single, reusable environment. By framing the feature as a productivity hub rather than a novelty, OpenAI is nudging enterprise users toward deeper integration of its models into everyday workflows. The move mirrors the memo’s narrative: a larger compute backbone will only translate into market share if developers and businesses can lock that power into concrete, repeatable use cases.

The dual‑track strategy appears to be paying off on the pricing front. According to a brief from The Decoder, OpenAI recently rolled out a $100 “ChatGPT Pro” tier that promises “at least ten times the Plus usage,” while the existing $200 tier offers “at least twenty times” that baseline. Both tiers currently include a temporary 2× usage boost that expires at the end of May, after which the lower‑tier plan is expected to settle at “at least five times” Plus usage and the higher tier at “at least ten times.” Thibault Sottiaux, an OpenAI employee cited in the report, admitted the company’s public documentation has been ambiguous, but the tiered pricing underscores a broader push to monetize higher‑volume, enterprise‑grade workloads.

The convergence of compute scaling, product deepening, and a clear path to public markets suggests OpenAI is betting on a virtuous cycle: massive infrastructure fuels more capable models, which in turn drive adoption of features like Projects, justifying higher‑priced subscriptions and, ultimately, a lofty IPO valuation. If the company can sustain the 30 GW target—roughly the output of a small utility plant—analysts will likely view the $852 billion cap as a realistic reflection of its market dominance, especially as rivals such as Anthropic, Google and a growing open‑source cohort scramble for the same enterprise contracts. For now, the memo’s numbers and the Academy guide together paint a picture of a firm that is not just counting gigawatts, but also counting on every developer to turn those gigawatts into billable, repeatable work.