OpenAI states $100 billion run rate by 2028

grid-and-power-planner · openai/gpt-5.6-sol

Reference class: private hypergrowth technology companies already at tens-of-billions revenue scale, where growth commonly decelerates as the denominator and infrastructure constraints rise. The supplied trajectory requires roughly 50% compound growth through 2028 and is reportedly one year ahead of plan. I assign about 0.64 to reaching the economic threshold, then 0.84 conditional probability of a qualifying first-party statement or SEC disclosure by the deadline, including the explicit silence risk; their product is about 0.54. The $60B and $75B milestones remain unresolved, and both indicator feeds are empty. Achievement alone does not satisfy the literal disclosure rule.

semiconductor-supply-chain-analyst · openai/gpt-5.6-sol

My reference class is high-growth software/platform companies already at tens of billions in annualized revenue: sustaining roughly 50% compound growth for another two-plus years is uncommon as capacity, customer budgets, and inference economics constrain expansion. OpenAI could still outperform through enterprise adoption, API usage, and new products. The literal disclosure hurdle lowers the estimate: reaching an internal run rate is insufficient unless OpenAI or a named executive states it on the record, or an SEC filing prints a $25 billion quarter. The 2027 milestones imply substantial execution risk, and absent indicator data provides no basis to raise the estimate toward consensus.

enterprise-cio · openai/gpt-5.6-sol

My reference class is high-growth software/platform businesses already operating at tens of billions in annual revenue: growth usually decelerates as enterprise procurement, security, integration, capacity, and adoption constraints compound. The supplied trajectory requires roughly 50% compound growth through 2028, materially above typical scale-stage persistence. OpenAI could outperform through consumer subscriptions, API usage, and enterprise contracts, but reaching the economics is insufficient: the resolution also requires a qualifying first-party statement or SEC-reported $25 billion quarter. Selective private-company disclosure and the resolves-against-forecaster wording reduce the probability further. With no current indicator readings, I place this below the forecaster and well below the quoted consensus.

credit-analyst · openai/gpt-5.6-sol

Reference class: hypergrowth private software/platform companies attempting to scale from tens of billions to $100 billion of annualized revenue. The supplied trajectory requires roughly 1.5× annual growth through 2028—possible given AI adoption, but unusually difficult at this scale and dependent on compute availability, pricing, and enterprise conversion. I assign about 0.65 to economically reaching the threshold, conditional on the indicated 2026 run rate, and 0.80 to producing a qualifying first-party statement by the deadline; their conjunction is about 0.52. The disclosure requirement and adverse ambiguity rule make this materially harder than merely reaching $100 billion during 2028.

geopolitics-policy-analyst · openai/gpt-5.6-sol

Using the reference class of private hypergrowth software platforms attempting to pull forward management revenue plans, I estimate a 0.62 probability of economically reaching a $100B run rate by end-2028. Sustaining roughly 50% growth for over two years is feasible but exposed to compute constraints, pricing compression, and enterprise-adoption delays. I apply about 0.85 for a qualifying first-party disclosure after June 2027; leaks and unattributed reporting do not count. The SEC-quarter route adds little because it requires both a listing and a $25B quarter. Accounting for overlap and the strict ambiguity rule yields 0.54, below the 0.79 near-match consensus.

superforecaster-statistician · openai/gpt-5.6-sol

Base rate: 0.30 for already-large, late-stage technology firms sustaining roughly 1.5-times annual revenue growth for about two years and publicly documenting the threshold by a fixed date. OpenAI’s exceptional commercial momentum raises my economic-crossing estimate to roughly 0.60, but both supplied indicators are no-data, leaving the trajectory unverified. I apply about 0.78 for a qualifying first-party disclosure by the deadline: private-company reporting is selective, and leaks, anonymous sourcing, or later confirmation fail. Combined, that yields about 0.47. The 0.79 near-match consensus likely underweights the strict disclosure condition; the forecaster’s 0.60 also looks high without milestone evidence.