OpenAI: The Full Story From a $1 Billion Nonprofit to a $852 Billion AI Empire

A comprehensive case study on OpenAI. From its founding in December 2015 to the ChatGPT revolution, the Altman firing, the $122 billion funding round, and the confidential IPO filing in May 2026. Every fact. Every number. Every turning point.

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OpenAI: The Full Story From a $1 Billion Nonprofit to a $852 Billion AI Empire | Fiscal Zenith
Case Study | June 2026 In December 2015, eleven researchers made a bet. They believed the most important technology in human history was being built behind closed doors at a handful of companies. They wanted to change that. They pooled $1 billion in pledged funding and created a nonprofit. They called it OpenAI. A decade later, that nonprofit oversees a company worth $852 billion. It has 900 million weekly users. It generates $2 billion every single month. It has filed confidentially for an IPO that could be the largest in history. This is the full story. Every founding decision. Every product launch. Every boardroom crisis. Every funding round. Verified and updated to June 2026.
$852B
Valuation after the $122 billion funding round that closed March 31, 2026. Co-led by SoftBank alongside Andreessen Horowitz. Amazon committed $50B, Nvidia and SoftBank each committed $30B. The largest private fundraise in history.
900M+
Weekly active users on ChatGPT as of early 2026. Up from 100 million in just two months after launch in 2022. The fastest consumer product adoption in history.
$20B+
Annualized revenue run rate crossed $20 billion by end of 2025. Full-year 2025 actual revenue was approximately $13.1 billion. Run rate reached $25 billion by February 2026.
S-1 Filed
OpenAI submitted its confidential S-1 to the SEC on June 8, 2026, announcing it proactively. Goldman Sachs and Morgan Stanley are lead underwriters. Listing targeted for September to November 2026.
Table of Contents
  1. Part I: The Founding December 2015, the $1 billion nonprofit, eleven founders, and the mission to build safe AI for all of humanity
  2. Part II: Early Years and First Products GPT-1, GPT-2, the capped-profit pivot in 2019, the Microsoft $1 billion deal, and the birth of DALL-E and Codex
  3. Part III: ChatGPT and the Day Everything Changed November 30, 2022: one million users in five days, 100 million in two months, and the largest consumer tech launch ever
  4. Part IV: The Boardroom Crisis of November 2023 Sam Altman fired on a Friday. Microsoft hires him by Monday. 500 employees threaten to quit. He returns in five days.
  5. Part V: The Model Timeline Every major model from GPT-1 to GPT-5.5 Instant, the o-series reasoning models, DALL-E, Sora, and Codex
  6. Part VI: The Funding Story From $1 billion in pledges at founding to $122 billion in a single round. Every major raise, valuation, and investor
  7. Part VII: The Corporate Structure Nonprofit to capped-profit to Public Benefit Corporation. The Elon Musk lawsuit. The October 2025 restructure. Who owns OpenAI today.
  8. Part VIII: The Competitive Landscape Anthropic, Google DeepMind, Meta AI, xAI, and Mistral. Who is ahead and in what ways.
  9. Part IX: The Stargate Project The $500 billion infrastructure bet, data centers across America and the UAE, and why Sam Altman is building a new energy grid
  10. Part X: The IPO The confidential S-1, the September 2026 target, the $1 trillion target valuation, and the questions public investors will ask
  11. Frequently Asked Questions

Part IThe Founding

December 2015: The Dinner That Changed Everything

OpenAI was formally incorporated on December 11, 2015. The founding was not a spontaneous event. It grew out of a shared concern among a small group of technologists. They believed that the rapid advance of artificial intelligence at a few large corporations presented a civilisational risk. They wanted to create an organisation that would pursue this research openly, safely, and for the benefit of everyone.

The founding group was unusual in its breadth of talent. It included Sam Altman, then president of Y Combinator. It included Elon Musk, already the CEO of Tesla and SpaceX. It included Ilya Sutskever, who had been a core researcher at Google Brain and a student of Geoffrey Hinton. It included Greg Brockman, who had been CTO of Stripe. The full founding team of eleven people also included Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba.

Elon Musk and Sam Altman served as co-chairs. The organisation was structured as a nonprofit. The founding donors pledged $1 billion in total. The actual amount deployed in the early years was closer to $130 million, but the pledge demonstrated serious commitment. Early donors alongside the founders included Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services, Infosys, and Y Combinator Research.

The stated mission: “To advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return.” OpenAI published all of its research openly in the early years. This was deliberate. The founders believed that spreading knowledge was safer than concentrating it.

The Eleven Founders

Sam Altman
Co-Chair, later CEO
President of Y Combinator. Became CEO in 2019. Famously holds no equity in OpenAI.
Elon Musk
Co-Chair (departed 2018)
Tesla and SpaceX CEO. Left the board in February 2018. Later founded rival AI lab xAI.
Ilya Sutskever
Chief Scientist
PhD student of Geoffrey Hinton. Co-invented AlexNet. Left OpenAI in 2024 to found Safe Superintelligence Inc.
Greg Brockman
President
Former CTO of Stripe. OpenAI’s President and now CEO of Applications. Briefly stepped down in 2024, later returned.
John Schulman
Research Scientist
Invented Proximal Policy Optimisation (PPO), a key reinforcement learning algorithm. Left OpenAI in 2024.
Andrej Karpathy
Research Scientist
Left to become Director of AI at Tesla. Returned to OpenAI briefly in 2023. Now independent. Known for educational AI content.

Why They Feared Big Tech

The founding premise was not abstract. In 2015, Google had acquired DeepMind for approximately $500 million. Facebook had founded FAIR (Facebook AI Research). Amazon was building its own AI teams. The founders of OpenAI believed these organisations would accumulate enormous power through AI. They worried about who would benefit from that power.

Elon Musk, in particular, was alarmed by what he saw at Google. He had invested in DeepMind before its acquisition and later expressed regret that he had helped Google become more powerful in AI. This was part of his motivation for co-founding OpenAI. He later described the goal as building a counterweight to what he called a “Google-controlled” AI future.

  • 2015
    December 11, 2015
    OpenAI Founded as a Nonprofit

    Eleven co-founders register OpenAI in San Francisco. $1 billion in total pledged funding. Sam Altman and Elon Musk are co-chairs. The mission is to develop AI safely and for all of humanity.

  • 2016
    April 2016
    OpenAI Gym Released

    OpenAI releases its first public product: OpenAI Gym, a toolkit for developing and comparing reinforcement learning algorithms. It becomes the standard benchmark environment for RL research globally.

  • 2018
    February 2018
    Elon Musk Resigns from the Board

    Musk steps down citing a potential conflict of interest with Tesla’s own AI development for autonomous vehicles. He later says he was refused control of the company by Altman and the board.

  • 2019
    March 2019
    Capped-Profit Structure Created

    OpenAI creates a “capped-profit” subsidiary called OpenAI LP. Investors can receive returns capped at 100 times their investment. Anything beyond that goes back to the nonprofit. Sam Altman becomes CEO.


Part IIEarly Years and First Products

The GPT Architecture Begins

OpenAI’s first major research breakthrough came in June 2018. The company published a paper titled “Improving Language Understanding by Generative Pre-Training.” This introduced GPT-1, a language model trained on 117 million parameters and a large corpus of text from the internet. GPT-1 demonstrated that a model trained on a general language prediction task could be fine-tuned for specific applications without needing task-specific training data.

GPT-2 followed in February 2019. It was trained on 1.5 billion parameters. It was significantly more capable than GPT-1. The team decided not to release it fully because they believed it was too capable. They described it as a “credible risk” for generating convincing disinformation. This was the first major public debate about AI safety and release decisions. OpenAI eventually released GPT-2 fully in November 2019, after staged releases showed no significant misuse.

In July 2020, GPT-3 was released via API. It was trained on 175 billion parameters. It could write code, draft essays, translate languages, and generate creative fiction with a quality that astonished researchers. GPT-3 had over a million users within two months of limited access. It sparked widespread discussion about whether AI had crossed some qualitative threshold.

The Microsoft Partnership and the Capped-Profit Model

The transition to a capped-profit structure in 2019 was driven by necessity. Training large models requires enormous computational resources. A nonprofit cannot raise venture capital. OpenAI needed a different structure to attract the funding it required.

Microsoft invested $1 billion in OpenAI in July 2019. This was the first of several Microsoft investments that would eventually total over $13 billion. As part of the partnership, Microsoft provided access to its Azure cloud computing infrastructure. OpenAI used Azure to train its models. The two companies also agreed that Microsoft would have exclusive commercial licensing rights to any OpenAI technology that was deployed via Azure.

The DALL-E breakthrough: In January 2021, OpenAI released DALL-E. It was the first widely accessible AI model that could generate photorealistic images from text descriptions. The model was named as a portmanteau of Salvador Dali and WALL-E. DALL-E 2 in April 2022 and DALL-E 3 in October 2023 improved quality dramatically. DALL-E demonstrated that the same language model architecture could be extended to image generation, a finding that reshaped the entire field of generative AI.

Codex and the GitHub Copilot Moment

In August 2021, OpenAI released Codex. It was a model trained on code from GitHub and 159 gigabytes of Python code. Codex could translate plain English instructions into working code. In June 2021, GitHub and Microsoft launched GitHub Copilot, powered by Codex. This was the first major AI product deployed inside a professional workflow at scale. GitHub Copilot became one of the fastest-growing developer tools in history. Over one million developers were using it within a year of launch.


Part IIIChatGPT and the Day Everything Changed

November 30, 2022

ChatGPT launched on November 30, 2022. It was built on GPT-3.5 and trained using a technique called Reinforcement Learning from Human Feedback (RLHF). RLHF used human trainers to rank model outputs and then trained the model to produce responses that humans preferred. The result was a chatbot that was not just capable. It was accessible. Almost anyone could use it without technical knowledge.

The response was unlike anything the technology industry had seen before. ChatGPT reached one million users in five days. For context, Instagram took two and a half years to reach one million users. Twitter took two years. Netflix took three and a half years. ChatGPT did it in five days. By February 2023, two months after launch, it had 100 million monthly active users. This remains the fastest consumer product adoption in recorded history.

ChatGPT Weekly Active User Growth
Dec 2022
.
1M (5 days)
Feb 2023
100M
100M MAU
Nov 2023
100M
100M WAU
Aug 2024
200M WAU
200M WAU
Feb 2025
400M WAU
400M WAU
Jul 2025
700M WAU
700M WAU
Feb 2026
900M+ WAU
900M+ WAU

WAU = Weekly Active Users. MAU = Monthly Active Users. Source: OpenAI official announcements.

What Made It Different

Before ChatGPT, AI language models existed. GPT-3 was accessible via API. But they required technical knowledge to use. ChatGPT wrapped the model in a clean, conversational interface. It remembered the context of a conversation. It could revise its own answers. It apologised when it made mistakes. It felt like talking to someone who was very smart and extremely patient.

The model had weaknesses. It hallucinated facts confidently. It sometimes produced harmful content. It had a training cutoff date. But for most people encountering it for the first time, it was genuinely transformative. Teachers, lawyers, developers, journalists, and writers all found immediate applications. The AI boom of 2023 and 2024 traces its origin to November 30, 2022.

The fastest in history: ChatGPT hit 1 million users in 5 days. Then 100 million monthly active users in 2 months. Spotify took 5 years to reach 100 million users. YouTube took 4 years. Facebook took 4.5 years. Nothing had ever scaled this fast. The reason was simple: it was useful to almost everyone, immediately, for free.

GPT-4 and the Subscription Model

GPT-4 was released on March 14, 2023. It was multimodal. It could understand both text and images. It performed at a level comparable to professionals on standardised tests. On the Uniform Bar Examination, GPT-4 scored in the top 10 percent of human test-takers. On the SAT, it scored 1410 out of 1600. These were not claims about AGI. They were demonstrations of capability across a very wide range of tasks.

OpenAI launched the ChatGPT Plus subscription at $20 per month in February 2023. This gave subscribers access to GPT-4 ahead of its public release, faster response times, and priority access during peak periods. By mid-2025, ChatGPT Plus had approximately 15 million active subscribers. The $200 per month ChatGPT Pro tier, launched later, gave access to OpenAI’s most powerful reasoning models with unlimited usage.


Part IVThe Boardroom Crisis of November 2023

Five Days That Shook Silicon Valley

Friday, November 17, 2023: The OpenAI board fires Sam Altman as CEO. The statement says he was “not consistently candid in his communications with the board.” Greg Brockman is also pushed out. The board is a six-person group with no traditional fiduciary duty to shareholders. The decision is made without warning.

Saturday, November 18: Investors, employees, and the tech world are in shock. Emmett Shear, co-founder of Twitch, is named interim CEO. Altman and Brockman begin talking to Microsoft.

Sunday, November 19: Microsoft CEO Satya Nadella announces that Altman and Brockman will lead a new advanced AI research team at Microsoft. Three board members reportedly push to reinstate Altman. The fourth board member, Ilya Sutskever, signs a letter asking for reinstatement, then appears to walk it back.

Monday, November 20: An open letter from OpenAI employees begins circulating. Approximately 500 of OpenAI’s 770 employees sign it. They say they will quit unless the board resigns and reinstates Altman. The board faces an existential choice.

Wednesday, November 22: Sam Altman returns as CEO. The board that fired him resigns. A new board is formed. Altman is back at OpenAI. The entire episode lasts five days.

The crisis revealed something important about OpenAI’s structure. The nonprofit board had the legal authority to fire the CEO. But it had no power over the employees. And it had no power over Microsoft, which had already made a $13 billion commitment to OpenAI’s success. When 500 employees said they would leave, the board had no leverage. The company’s value was in the people. The people had made their choice.

The new board included Bret Taylor, former co-CEO of Salesforce, as chairman. Larry Summers, former US Treasury Secretary, also joined. The board’s composition shifted dramatically toward people with experience in large commercial organisations rather than pure AI safety researchers.

What the firing was actually about: The full reasons for Altman’s firing were never fully disclosed publicly. Speculation centred on disagreements about the pace of commercialisation, concerns about safety prioritisation, and personality clashes. Ilya Sutskever, who initially supported the firing and then signed the reinstatement letter, left OpenAI in May 2024 to found his own AI safety lab, Safe Superintelligence Inc. Helen Toner and Tasha McCauley, the two board members who led the firing, both left the board as part of the resolution.

Part VThe Model Timeline

Every Major Model: 2018 to 2026

LanguageGPT-1
June 2018

117 million parameters. First demonstration that a general language model could be fine-tuned for specific tasks without task-specific training data.

LanguageGPT-2
February 2019 (staged release)

1.5 billion parameters. Initially withheld as “too dangerous.” OpenAI’s first major public debate about whether to release a capable model. Eventually released fully in November 2019.

LanguageGPT-3
July 2020

175 billion parameters. Accessed via API. Capable of code generation, essay writing, translation, and creative tasks. One million users within two months of limited API access.

ImageDALL-E
January 2021

First AI system to generate photorealistic images from text. DALL-E 2 (April 2022) and DALL-E 3 (October 2023) followed with major quality improvements.

CodeCodex
August 2021

Trained on 159 GB of Python. Powers GitHub Copilot. Translated natural language into working code across over a dozen programming languages.

ChatChatGPT (GPT-3.5)
November 30, 2022

The product that triggered the AI boom. One million users in 5 days. 100 million in 2 months. Built on GPT-3.5 with RLHF training for conversational quality.

MultimodalGPT-4
March 14, 2023

Understands text and images. Top 10% on the Bar Exam. Developer Day on November 6, 2023 introduced GPT-4 Turbo with a 128K context window and reduced pricing.

MultimodalGPT-4o
May 13, 2024

“Omni” model. Native audio, text, and image processing in one model. Free for all ChatGPT users. Retired in February 2026 following the GPT-5 rollout.

Reasoningo1 and o3
Sep 2024 / Apr 2025

The “thinking” models. Spend extra compute reasoning before responding. Excel at math, coding, and complex logical problems. o3-pro released June 2025 for Pro users.

VideoSora
December 2024

Text-to-video generation. Could produce highly realistic short videos from text prompts. Some features later scaled back as OpenAI rationalised its product portfolio.

FlagshipGPT-5
August 7, 2025

The first “unified” model combining language, reasoning, and multimodal capabilities in one system. Replaced GPT-4o as the default model in ChatGPT for all users.

LatestGPT-5.5 Instant
May 5, 2026

Current default model in ChatGPT. Faster, more natural, and more collaborative than GPT-5. Scored 81.2 on AIME 2025 math test. Can reference past conversations and Gmail via search.


Part VIThe Funding Story

From $1 Billion Pledge to $122 Billion in a Single Round

  • 2015 $1B pledged Founding pledges from Sam Altman, Elon Musk, Peter Thiel, Reid Hoffman, Jessica Livingston, Amazon Web Services, Infosys, and YC Research. Nonprofit structure. Actual spend in early years was closer to $130 million.
  • Jul 2019 $1B Microsoft’s first investment. Announced alongside the capped-profit restructure. Azure cloud access provided as part of the deal. OpenAI’s valuation was not disclosed publicly.
  • Jan 2021 $1B Second Microsoft investment round. Further deepened the Azure partnership. OpenAI used these funds to scale up compute for GPT-3 training and DALL-E development.
  • Jan 2023 $10B Microsoft’s third and largest round, announced following the explosive success of ChatGPT. Total Microsoft investment by this point exceeded $13 billion. OpenAI valued at approximately $29 billion.
  • Oct 2024 $6.6B Record private funding round at the time, led by Thrive Capital. Investors included Andreessen Horowitz, Sequoia Capital, Fidelity, and the UAE’s MGX. Valuation: $157 billion.
  • Mar 2025 $40B Led by SoftBank alone. Broke the private funding record at the time. Post-money valuation: $300 billion.
  • Mar 2026 $122B The largest private fundraise in history by a wide margin. Amazon led with $50 billion ($35B contingent on IPO or AGI by 2028). Nvidia contributed $30 billion. SoftBank contributed $30 billion. Post-money valuation: $852 billion.

Revenue Growth: 2023 to 2026

OpenAI Annual Recurring Revenue
2023$2 billion
$2B
2024$6 billion
$6B
2025 (annualised run rate at year-end)$20 billion ARR ($13.1B actual)
$20B+
2026 annualised (Feb)$25 billion
$25B annualised

Source: OpenAI CFO Sarah Friar confirmed the 2025 figure. February 2026 run rate from OpenAI’s March 2026 funding announcement. Sam Altman targets $100B revenue by 2027.

The losses are enormous: OpenAI’s annualised revenue run rate crossed $20 billion in 2025, though full-year actual revenue was approximately $13.1 billion. The company lost approximately $9 billion on that revenue base. The projected 2026 net loss is $14 billion. Cumulative losses through 2028 are projected at $44 billion. Investors are not buying current profitability. They are buying the belief that whoever controls the leading AI infrastructure will dominate a multi-trillion dollar market. Whether that thesis is correct is the central question for the IPO.

Part VIIThe Corporate Structure

From Nonprofit to Public Benefit Corporation

OpenAI’s corporate evolution is unlike almost any other company. It began as a pure nonprofit in 2015. In 2019, it created a for-profit subsidiary with a 100x investor return cap. This structure worked for a few years. But as the company raised billions of dollars and employed thousands of people, the capped-profit model created problems. Investors needed clarity on returns. Employees needed equity that they could value and exercise. The nonprofit board had authority that could be exercised in ways that conflicted with commercial interests, as the November 2023 crisis demonstrated.

In 2024, OpenAI announced plans to convert into a fully for-profit company. The nonprofit would become a separate entity that might lose its controlling stake. This triggered significant public backlash. Former employees, legal scholars, and the attorneys general of California and Delaware all raised concerns about charitable assets being redirected for private profit.

In May 2025, OpenAI revised the plan. The nonprofit would retain control. On October 28, 2025, the restructure was completed. The for-profit arm became a Public Benefit Corporation (PBC) called OpenAI Group. The nonprofit was renamed the OpenAI Foundation. It holds a 26 percent equity stake in OpenAI Group, valued at approximately $130 billion.

OpenAI Ownership Structure (October 2025)

26% OpenAI Foundation (Nonprofit) – Retains legal control. Appoints the board of OpenAI Group. Stake valued at approximately $130 billion. Will receive additional ownership if share price rises significantly after 15 years.
27% Microsoft – Largest single outside investor. Has invested over $13 billion. Receives access to OpenAI technology through the contractual partnership which runs until at least 2030.
47% Employees and Investors – Current and former employees, plus financial investors including SoftBank, Andreessen Horowitz, Sequoia, Thrive Capital, Tiger Global, and others. As of March 2026, Amazon and Nvidia are also significant holders.
0% Sam Altman (CEO) – OpenAI’s CEO holds no confirmed equity stake as of the March 2026 cap table, a situation unprecedented in major tech company history. Whether he receives an equity grant before the IPO is closely watched.

The Elon Musk Lawsuit

In February 2024, Elon Musk filed suit against OpenAI and Sam Altman in San Francisco Superior Court. He alleged breach of contract. His claim was that OpenAI had abandoned its founding mission by creating a for-profit structure and partnering closely with Microsoft. He argued the company had shifted from building AI for humanity to building it for commercial profit.

The lawsuit attracted enormous attention. Musk had since founded his own AI company, xAI, which made him a direct competitor. OpenAI disputed his claims. On May 18, 2026, a jury ruled against Musk. The jury found his claims were time-barred. He had waited too long to file. The lawsuit was dismissed. The ruling cleared a significant legal obstacle from OpenAI’s IPO path.


Part VIIIThe Competitive Landscape

The AI Race in 2026

CompanyFlagship ModelValuation (2026)BackingKey Differentiation
OpenAIGPT-5.5 Instant$852BMicrosoft, SoftBank, Amazon, NvidiaLargest user base. Best distribution. Codex and agentic platform. Stargate infrastructure.
AnthropicClaude (latest)$965B (private)Amazon, GoogleStrongest focus on AI safety and reliability. $965B valuation surpassed OpenAI’s $852B for the first time after a $65B Series H round. Confidential IPO filing June 1, 2026.
Google DeepMindGemini UltraPart of Alphabet ($2T+)AlphabetBest integration with Google Search, Gmail, YouTube. Unmatched data access.
Meta AILlama 4Part of Meta ($1.4T+)Meta PlatformsOpen-source strategy. Llama models free to download and run. Best social media AI integration.
xAIGrok (latest)$50B (estimate)Elon Musk, private investorsReal-time access to X (Twitter) data. Elon Musk’s direct involvement. $20B raised in 2025.
MistralMistral Large$6B (estimate)Andreessen Horowitz, NvidiaEuropean-based. Strong on efficiency and open-weight models. GDPR compliance advantage.
The DeepSeek moment (January 2025): Chinese AI startup DeepSeek released a model in late January 2025 that matched GPT-4 performance at a fraction of the cost. The announcement briefly wiped $600 billion from US technology company market capitalisations in a single day. Nvidia’s stock fell 17 percent in one session. The DeepSeek event forced the entire industry to reconsider whether frontier AI required the capital intensity that OpenAI and others had been assuming. OpenAI’s response was to accelerate its own efficiency work and double down on the Stargate infrastructure bet.

Part IXThe Stargate Project

$500 Billion for AI Infrastructure

On January 21, 2025, two days after his inauguration, President Donald Trump stood alongside Sam Altman, SoftBank CEO Masayoshi Son, and Oracle Chairman Larry Ellison at the White House. They announced the Stargate Project. Stargate is a joint venture with a target of investing $500 billion over four years in AI infrastructure in the United States. The initial equity funders are SoftBank, OpenAI, Oracle, and the UAE’s MGX. Microsoft, Arm, and Nvidia are technology partners.

$100 billion was committed immediately. The flagship Stargate campus is in Abilene, Texas, where Oracle began delivering NVIDIA GB200 racks in June 2025. By late 2025, the project had reached 8 gigawatts of planned capacity and over $450 billion in committed investment, ahead of the original schedule.

MetricDetails
Total planned investment$500 billion over four years
Immediate deployment$100 billion in first phase
Committed by late 2025Over $450 billion, ahead of schedule
Planned capacity10 gigawatts (equivalent to a small nation’s electricity consumption)
Flagship US siteAbilene, Texas (Oracle-operated)
International siteStargate UAE: 1 GW in Abu Dhabi, announced May 2025
Oracle deal$30 billion per year data center lease, 4.5 GW capacity
CoreWeave deal$11.9 billion, five-year compute access agreement
Energy partnerSB Energy (OpenAI and SoftBank invested $1 billion in SB Energy, Jan 2026)

Stargate is not just a data center project. It is an energy project. Running 10 gigawatts of AI compute requires as much electricity as a small country. OpenAI and SoftBank invested $1 billion in SB Energy in January 2026 to build and operate a 1.2 gigawatt data center site in Milam County, Texas. The company is negotiating with Broadcom to design custom AI chips for its inferencing operations. Stargate represents OpenAI’s bet that whoever controls the compute will control the AI era.

The OpenAI for Countries initiative: OpenAI expanded Stargate internationally through a programme called OpenAI for Countries. The first international project was Stargate UAE, announced on May 22, 2025. It involves a 1-gigawatt AI infrastructure cluster in Abu Dhabi, developed in partnership with G42, Oracle, SoftBank, Nvidia, and Cisco. The facility is expected to open in 2026. Similar projects are in development in Europe (Stargate Norway) and other regions.

Part XThe IPO

The Confidential Filing: June 8, 2026

OpenAI submitted its confidential S-1 to the US Securities and Exchange Commission on June 8, 2026. The company announced it themselves the same day rather than waiting for it to leak, publishing a statement on its website that read: “We recently submitted a confidential S-1. We expect it to leak so we are just announcing it.” Goldman Sachs and Morgan Stanley are the confirmed lead underwriters. JPMorgan is also in discussions to join the syndicate. The company is targeting a public listing as early as September 2026. Discussions with Citigroup about joining the bank syndicate are also underway.

The timing was no accident. Three weeks before the announcement, on May 18, a jury ruled against Elon Musk’s lawsuit against OpenAI, finding his claims time-barred. The legal obstacle that had clouded OpenAI’s IPO preparation was removed. OpenAI filed three weeks later.

Sam Altman has targeted a September 2026 listing date. He noted publicly that initiating the filing process is not the same as being ready to list, and that some strategic moves may be easier to complete while OpenAI remains private. Market conditions, regulatory review, and investor appetite will all determine the final timing.

The Numbers the IPO Will Reveal

MetricFigureContext
Current private valuation$852 billionSet in the $122B March 2026 round. Analysts project above $1 trillion at IPO pricing.
Monthly revenue (early 2026)$2 billion$25B annualised. Sam Altman targets $100B by 2027.
2025 full-year revenue$20B+Confirmed by CFO Sarah Friar. Up from $6B in 2024 and $2B in 2023.
2025 net loss (estimated)$9 billionSpends $1.22 per $1 earned. Projected 2026 loss: $14 billion.
Weekly active users900M+As of early 2026. Daily messages exceed 2.5 billion.
Paying subscribers50M+Plus ($20/month), Pro ($200/month), Team, Enterprise, and Edu tiers.
Business customers1M+Milestone reached November 2025. Enterprise now over 40% of revenue.
IPO target raise$60B (reported)Would more than double the Saudi Aramco 2019 record of $25.6 billion.
UnderwritersGoldman Sachs and Morgan Stanley (confirmed); JPMorgan in discussionsCitigroup also in discussions. Largest bank syndicate assembled for a tech IPO.
Rival IPOAnthropic (June 1, 2026 filing)Anthropic filed confidentially at $965B valuation. Two AI giants heading to public markets simultaneously.
The profitability question: OpenAI loses money at enormous scale. The compute costs of training and running frontier models are staggering. The company projects cumulative losses of $44 billion through 2028. Public market investors will have to decide whether this is acceptable, as they did with Amazon in its early years. The argument for investing is straightforward: OpenAI is the default entry point for AI for most of the world’s population. If frontier AI becomes as essential as the internet, the company that owns the leading platform could generate returns that dwarf current losses. The argument against is equally clear: competition is intensifying, compute costs may not fall fast enough, and the company has never turned a profit.

Ten Years. From Nonprofit to $852 Billion. What Comes Next?

OpenAI did not set out to become a $852 billion company. It set out to ensure that artificial general intelligence benefits all of humanity. Whether those two things are compatible is the defining question of the company’s next decade.

The facts of what OpenAI has built are extraordinary. ChatGPT is used by 900 million people every week. It generates $2 billion every month. It has changed how people write, code, research, create, and think. No technology product in history has been adopted this quickly or this widely. The company that built it started as a nonprofit that could not issue stock.

But the facts of what it costs are equally extraordinary. OpenAI loses $9 billion a year. It is burning capital at a rate that requires constant fundraising. The Stargate Project, ambitious as it is, requires energy infrastructure at a national scale. The compute costs of training the next generation of models will be larger still. Sam Altman has publicly said he believes AGI could arrive within a few years. If he is right, the economic and social consequences will be unlike anything humanity has managed before.

The IPO is the next chapter. When OpenAI lists, it will be the first time its financials are fully public. The roadshow will force a reckoning between the story the company tells investors and the numbers they will see. That reckoning, whenever it comes, will be one of the most watched events in the history of financial markets.

Frequently Asked Questions

OpenAI was founded on December 11, 2015, by eleven co-founders. The most prominent were Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, John Schulman, Andrej Karpathy, and Wojciech Zaremba. The full founding group also included Trevor Blackwell, Vicki Cheung, Durk Kingma, and Pamela Vagata. Sam Altman and Elon Musk served as co-chairs. The organisation was structured as a nonprofit and funded with $1 billion in pledged contributions from the founders and early donors including Reid Hoffman, Peter Thiel, and Amazon Web Services.

Elon Musk resigned from OpenAI’s board of directors in February 2018. The official reason given was a potential conflict of interest with Tesla’s AI development for autonomous vehicles. Musk later said he left because Sam Altman and other board members refused to give him control of the company. He has described wanting to lead OpenAI himself and being rebuffed. After leaving, Musk became increasingly critical of OpenAI’s direction, particularly its partnership with Microsoft and its shift toward commercial operations. In February 2024, he filed suit against OpenAI and Altman alleging breach of contract and abandonment of the founding mission. A jury dismissed the lawsuit on May 18, 2026, finding his claims time-barred. Musk has since founded his own AI company, xAI, which raised $20 billion in 2025 and has developed the Grok model series.

On November 17, 2023, OpenAI’s six-person nonprofit board fired Sam Altman as CEO without warning. The official statement said he was “not consistently candid in his communications with the board.” Greg Brockman, the president, also stepped down the same day. Over the following weekend, Microsoft announced it had hired Altman and Brockman to lead a new AI team. Approximately 500 of OpenAI’s 770 employees signed an open letter saying they would quit unless the board resigned and reinstated Altman. Emmett Shear, co-founder of Twitch, served as interim CEO for three days. On November 22, 2025, Altman was reinstated as CEO. The board members who fired him resigned. A new board was formed, led by Bret Taylor as chairman. The entire episode lasted five days. The crisis revealed the structural tension between OpenAI’s nonprofit governance and its commercial scale.

As of October 2025, OpenAI operates as a two-part structure. The OpenAI Foundation is a nonprofit that retains legal control over the company. It appoints the board of the commercial entity and holds a 26 percent equity stake in it, valued at approximately $130 billion. The commercial entity is called OpenAI Group PBC, a public benefit corporation registered in Delaware. This structure was completed on October 28, 2025, after nearly a year of negotiations with Microsoft, and with the attorneys general of California and Delaware. Microsoft holds approximately 27 percent of OpenAI Group PBC, based on its cumulative investment of over $13 billion. Employees, former employees, and investors hold the remaining 47 percent. Sam Altman, as CEO, holds no confirmed equity stake as of the March 2026 cap table, which is unusual for the CEO of a company targeting a trillion-dollar IPO.

The Stargate Project is a joint venture between OpenAI, SoftBank, Oracle, and the UAE’s MGX. It was announced at the White House on January 21, 2025, with President Trump in attendance alongside Sam Altman, Masayoshi Son, and Larry Ellison. Stargate plans to invest $500 billion over four years in AI computing infrastructure in the United States. The initial deployment was $100 billion. By late 2025, the project had reached over $450 billion in committed investment and approximately 8 to 10 gigawatts of planned capacity, ahead of the original schedule. The flagship US site is in Abilene, Texas. The first international site, Stargate UAE, was announced in May 2025 in Abu Dhabi. Microsoft, Arm, and Nvidia are technology partners. OpenAI and SoftBank also invested $1 billion in SB Energy in January 2026 to develop the energy infrastructure required for the data centers. Stargate is the largest AI infrastructure project ever announced.

OpenAI submitted its confidential S-1 to the SEC on June 8, 2026. The company announced it proactively the same day, publishing a statement saying: “We recently submitted a confidential S-1. We expect it to leak so we are just announcing it.” Goldman Sachs and Morgan Stanley are the confirmed lead underwriters. JPMorgan is also in discussions to join the syndicate. OpenAI itself said timing is “not decided yet” and may be a while. September 2026 is the earliest reported target per Goldman Sachs and Morgan Stanley’s roadshow preparation. OpenAI’s most recent private valuation was $852 billion, set in its $122 billion March 2026 funding round backed by Amazon, Nvidia, and SoftBank. Public market analysts widely expect the IPO to price above $1 trillion, which would make it the largest IPO in history by a significant margin. OpenAI is reportedly aiming to raise approximately $60 billion in the offering, which would more than double the Saudi Aramco 2019 record. Rival Anthropic filed confidentially on June 1, 2026, at a $965 billion private valuation, targeting an October 2026 listing. If both proceed, 2026 will see the two most valuable AI companies list within months of each other.

No. OpenAI does not currently make a profit. In 2025, OpenAI’s annualised revenue run rate crossed $20 billion, though full-year actual revenue was approximately $13.1 billion. The company lost approximately $9 billion. It spends roughly $1.22 for every $1 it earns. The primary cost driver is compute: training and running frontier AI models requires enormous computing power, which costs billions of dollars per year. The company has projected cumulative losses of $44 billion through 2028. The 2026 net loss is projected at approximately $14 billion. Despite these losses, OpenAI has been able to raise capital at a rapidly rising valuation because investors believe the AI market is large enough that the leading platform will eventually generate returns that more than offset the current losses. Sam Altman has publicly targeted $100 billion in revenue by 2027. Whether that trajectory is achievable, and whether it eventually leads to profitability, is the central financial question that the IPO roadshow will need to answer.

Disclaimer: This article is for informational and educational purposes only. It is not investment advice or a recommendation to buy, sell, or hold any security. All financial figures are sourced from company announcements, regulatory filings, and widely reported data at the time of writing (June 2026). OpenAI is a private company and has not yet filed a public S-1 prospectus; financial figures before the public filing are based on reported data and may be revised. IPO timing, valuation, and structure are subject to change. Fiscalzenith.com accepts no liability for decisions made in reliance on information contained in this article.