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Key Takeaway: OpenAI Consolidates Power in Co-founder Greg Brockman Ahead of IPO, Signaling Shift from Tech-Driven to Commercial Operations

Shen TouShen TouJul 112026/07/11 92 views

Signals Behind Power Consolidation

Brockman was previously OpenAI's President and Head of Technology, and is now explicitly designated as the "number two," responsible for all the most important profitable businesses. In the AI industry, technical leaders often occupy the center stage, but Brockman's role shift reveals a key fact: OpenAI is no longer just a lab, but a company that needs to prove commercial value to shareholders. CEO Sam Altman handles external fundraising and strategy, while Brockman manages internal operations and commercialization—a division of labor particularly common before an IPO. Similar power consolidations have occurred before the listings of companies like Uber and Palantir—founders or early core members taking over operations to boost execution efficiency and investor confidence.

For investors, Brockman's resume is worth noting. He served as CTO at Stripe, possessing strong technical architecture and engineering management experience, while deeply participating in the R&D of the GPT series products. This means he understands both technical bottlenecks and can drive product implementation. An executive who can simultaneously manage technical and sales teams is extremely rare in AI companies. OpenAI choosing him as the head of the "profit engine" indicates that the board believes commercialization capability is currently the biggest weakness.

Shift in Valuation Logic

Previously, OpenAI's valuation was anchored to the narrative of being a "leader in Artificial General Intelligence," with the market willing to pay a premium for technical breakthroughs. Revenue was approximately $1.6 billion in 2023, expected to exceed $5 billion in 2024, but the valuation has already reached $300 billion (even considering recent downward adjustments in funding valuations, it remains above $200 billion). This valuation level corresponds to a PS (Price-to-Sales) ratio of over 100x, whereas traditional SaaS companies usually have only 10-20x PS. The core supporting this premium is "monopolistic technical barriers" and "future dominance of AGI."

But Brockman's appointment suggests that OpenAI's valuation logic is shifting towards a "quantifiable business model." The profitable businesses he is responsible for include: ChatGPT Plus subscriptions, enterprise-grade API services, and upcoming customized model services. The gross margins, customer retention rates, and customer acquisition costs of these three business lines will become core metrics in the IPO prospectus. If Brockman can prove that OpenAI possesses enterprise sales capabilities similar to Microsoft Azure or Oracle Cloud, the valuation logic will switch from "technical premium" to "platform premium"—that is, moving from PS multiples to PE multiples (Price-to-Earnings), provided the company can achieve sustained high growth and margin improvement.

Where Are the Commercial Barriers?

OpenAI's competitive barrier was once "leading model performance," but this barrier is weakening. Anthropic's Claude series, Google's Gemini, and Meta's Llama open-source models are gradually closing the gap. What Brockman needs to establish is not a technical barrier, but ecosystem barriers and commercial barriers. Specifically:

  • Data Flywheel: Collecting user feedback data via APIs to continuously optimize models, forming a data closed loop. However, this requires a sufficiently large user base willing to provide data.
  • Enterprise Services: Developing customized solutions, binding enterprise customers, and increasing migration costs. For example, vertical models in CRM and ERP domains.
  • Developer Ecosystem: Building a third-party app ecosystem around GPT through plugins, toolchains, and app stores, similar to Apple's App Store.

Establishing these barriers requires Brockman to integrate product, engineering, sales, and customer success departments. If he can achieve this, OpenAI will upgrade from a company that "sells models" to one that "sells platforms," significantly raising the valuation ceiling.

Investment Judgment

From an investor's perspective, power consolidation is a necessary step before an IPO, but risks remain. First, Brockman's operational abilities have not yet been validated at large-scale commercial levels; he was previously more oriented towards technical management. Second, there is tension between non-profit and for-profit governance structures within OpenAI, which may cause more conflicts of interest after the IPO. Third, regulatory risks (such as the EU AI Act, US copyright lawsuits) could impact valuation.

My view is: If Brockman can prove before the IPO that OpenAI's enterprise revenue share exceeds 30%, and gross margins stabilize above 70%, then the current valuation is reasonable; otherwise, the valuation bubble may burst next year. I will closely watch the enterprise product lines and customer contract situations led by Brockman.

Trend Prediction

Over the next 12 months, OpenAI will complete its IPO, with a valuation in the range of $200-250 billion. But what is more noteworthy is that Brockman will push OpenAI to shift from "technology-first" to "sales-first


Original Link: https://www.cnbc.com/2026/07/10/openai-power-consolidates-under-co-founder-greg-brockman-ahead-of-ipo.html

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Flight Control Youth
Flight Control YouthJul 13(edited)

[quote="shen_zixuan, post:1, topic:357"]

Signals behind power concentration

Brockman was previously OpenAI's President and Head of Technology; now he is explicitly designated as the "number two," responsible for all the most critical profitable businesses. In the AI industry, technical leaders often take center stage, but Brockman's role shift reveals a key fact: OpenAI is no longer just a lab, but a company that needs to prove commercial value to shareholders. CEO Sam Altman handles external fundraising and strategy, while Brockman manages internal operations and commercialization. This division of labor is particularly common before an IPO. …

[/quote]

This issue with interruption latency is quite interesting. The gap between technological leadership and commercial implementation lies in engineering capability, such as optimizing latency and throughput for model deployment. It's similar to the real-time requirements for IMU data fusion in flight control—it's not enough to just have algorithms.