AI’s Historic Leap to Trillion Territory - GigaChat AI model
Edition #297 | 25 May 2026
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OpenAI Files Confidential IPO Papers at $852B Valuation Targeting $1T Debut with Goldman-Morgan Stanley Syndicate
In this edition, we will also be covering:
Alibaba unveils new AI chip in push for domestic alternatives
Sberbank seeks Chinese chips to power Russia's GigaChat AI model
OpenAI to open its first applied AI lab outside of U.S. in Singapore
Today’s Quick Wins
What happened: OpenAI is set to file its draft IPO registration with the SEC as early as today, backed by Goldman Sachs and Morgan Stanley, at a private valuation of $852 billion off a $2 billion/month revenue run rate and a freshly closed $122 billion funding round. A September public debut targeting a $1 trillion market cap would make it the largest tech IPO in history, eclipsing Alibaba’s 2014 record.
Why it matters: When the company that triggered the generative AI wave goes public, it rewires how every boardroom, fund manager, and analyst values AI infrastructure, foundation models, and the enterprise software built on top of them. Expect a wave of comparable-company analyses, revised sector multiples, and new benchmark disclosures as the S-1 lands.
The takeaway: Start building your OpenAI valuation model framework now revenue quality, compute cost trajectory, and Microsoft partner-concentration risk are the three variables that will dominate the analyst conversation from here to September.
Deep Dive
The $1 Trillion Question: What OpenAI’s IPO Filing Means for Every Data Professional
For years, the AI boom has been priced in private markets a closed loop of sovereign wealth funds, venture capital, and secondary trades invisible to most investors and practitioners. That changes this week.
OpenAI’s confidential S-1 filing, expected today and underwritten by Goldman Sachs and Morgan Stanley, is the data event of the year not just for finance, but for the entire analytics and ML community that has been building on, benchmarking against, and competing with ChatGPT since its 2022 launch.
The Problem: OpenAI has grown faster than any software company in history, but its financial structure has been opaque. Until now, analysts, data teams, and investors have had to reverse-engineer its unit economics from funding round leaks, partner disclosures, and API pricing signals.
The Solution: The S-1 filing will force full disclosure under SEC rules a structured dataset on compute costs, revenue mix, model depreciation, and partnership concentration that the field has never had access to before.
Revenue Scale: OpenAI has publicly confirmed $2 billion in monthly recurring revenue as of early 2026 a trajectory that, if sustained, implies $24B+ annualized before the listing even closes.
Valuation Anchor: The most recent private round closed at an $852 billion post-money valuation, with secondary market trades implying closer to $850–$1T. The IPO target is $1 trillion, which would require roughly 40–42x forward revenue at current run rates.
Infrastructure Context: A parallel filing this week from SpaceX reveals it signed a deal to provide Anthropic access to its Colossus supercomputer cluster for $1.25 billion per month through May 2029 a data point that puts frontier-model compute costs in stark relief for anyone modeling AI margins.
The Results Speak for Themselves:
Baseline (2022 launch): $0 revenue, nonprofit structure, no public comparables
After Growth (May 2026): $2B/month revenue, $852B private valuation, $122B raised
Business Impact: A successful public debut at $1T would dwarf Facebook ($16B), Alibaba ($25B), and Saudi Aramco ($29.4B) IPOs combined in headline equity absorbed
What We’re Testing This Week
LLM Cost-Performance Optimization: DeepSeek V4-Flash vs. GPT-5.5 for Production Pipelines
With frontier API costs ranging from $0.28/M output tokens (DeepSeek V4-Flash) to $60+/M (top closed models), the build decision for most production data applications has shifted from “can we afford LLM calls?” to “how do we structure our routing logic intelligently?”
Here are two approaches worth testing this week:
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