OpenAI’s annualized revenue run rate has surpassed $40 billion, roughly doubling from the end of 2025, according to people familiar with the company’s finances. The rapid increase underscores the extraordinary commercial growth of ChatGPT and OpenAI’s broader push into enterprise software, coding tools and advertising. The development also comes as OpenAI prepares for a potential initial public offering and faces intensifying competition from Anthropic.
The $40 billion figure is an annualized revenue run rate rather than reported full-year revenue. It represents the pace of revenue based on current performance. OpenAI’s growth has accelerated particularly sharply in recent months, with subscription services, enterprise products, coding software and early advertising activity contributing to the increase. The company is also reshaping its commercial leadership, appointing Dali Rajic as chief revenue officer as it prepares for its next phase of expansion.
OpenAI’s Revenue Run Rate Tops $40 Billion
OpenAI’s annualized revenue run rate has crossed $40 billion, according to people familiar with the company’s finances.
That represents roughly a doubling from the pace recorded at the end of 2025, highlighting how quickly demand for the company’s AI products has expanded.
The figure is particularly significant because OpenAI is still investing enormous amounts in computing infrastructure, model development and data centers.
| OpenAI Revenue Snapshot | Figure |
|---|---|
| Current annualized revenue run rate | $40 billion+ |
| Approximate late-2025 run rate | ~$20 billion |
| Growth | ~2X |
| Monthly revenue pace implied by $40B run rate | ~$3.3 billion |
| Key consumer product | ChatGPT |
| Key growth areas | Enterprise, coding, advertising |
| IPO status | Preparing for potential public listing |
The $40 billion figure should not be interpreted as OpenAI’s finalized 2026 revenue. It is an annualized pace based on current performance.
What Does a $40 Billion Revenue Run Rate Mean?
An annualized revenue run rate takes a company’s recent revenue performance and projects it over a full year.
For example, a $40 billion annualized run rate implies an average pace of roughly $3.3 billion in revenue per month.
It does not mean OpenAI has already booked $40 billion in revenue during 2026.
Run-Rate Calculation
Current monthly revenue
↓
~$3.3 billion
↓
× 12 months
↓
~$40 billion annualized revenue
The distinction is important because revenue can rise or fall significantly during the year.
OpenAI Has Nearly Doubled Its Revenue Pace
The latest figure represents an enormous increase compared with the end of 2025.
OpenAI’s annualized revenue pace was around $20 billion at the end of last year.
The company has therefore added roughly $20 billion to its annualized revenue pace in a matter of months.
Revenue Growth
Late 2025
↓
~$20 billion annualized
↓
Rapid growth in 2026
↓
$40 billion+
↓
Nearly 2X
The acceleration demonstrates how quickly generative AI has moved from an experimental technology toward a major software category.
ChatGPT Remains OpenAI’s Main Commercial Engine
ChatGPT continues to be the central product driving OpenAI’s commercial expansion.
The company has developed several paid versions of the service aimed at consumers, professionals and businesses.
Users pay for access to more capable models, higher usage limits and additional features.
ChatGPT Revenue Model
Free users
↓
Product adoption
↓
Paid subscriptions
↓
Individual users
+
Businesses
+
Enterprise customers
↓
Recurring revenue
The subscription model provides OpenAI with a relatively predictable source of revenue compared with purely usage-based AI businesses.
Enterprise Demand Is Becoming Increasingly Important
OpenAI’s growth is no longer driven only by individual ChatGPT users.
Businesses are increasingly deploying its models for workplace applications.
Companies use OpenAI technology for:
- Coding
- Customer service
- Research
- Data analysis
- Content generation
- Internal knowledge management
- Automation
- Software development
Enterprise AI Adoption
Company
↓
ChatGPT Business / Enterprise
↓
Employees use AI
↓
Higher productivity
↓
More usage
↓
Recurring enterprise revenue
Enterprise customers can also generate significantly larger contracts than individual subscribers.
Coding Has Become a Major Growth Driver
AI coding tools have emerged as one of the fastest-growing areas of the generative AI market.
OpenAI has been investing heavily in coding agents and software-development tools.
Its Codex products allow developers to use AI to write, modify, test and understand software.
AI Coding Opportunity
Developer
↓
AI coding agent
↓
Generate code
↓
Review code
↓
Run tests
↓
Fix problems
↓
Deploy software
As coding becomes more automated, demand for powerful AI models could increase significantly among developers and enterprises.
OpenAI’s Advertising Business Is Still at an Early Stage
Advertising is another emerging source of revenue.
OpenAI has begun introducing advertising initiatives within its consumer products, creating a new monetization channel beyond subscriptions.
The advertising business is still relatively small compared with subscription and enterprise revenue.
However, the potential market is enormous.
OpenAI’s Revenue Mix
Subscriptions
+
Enterprise
+
API usage
+
Coding products
+
Advertising
↓
Diversified revenue base
If advertising scales successfully, it could become a significant additional revenue source.
API Revenue Adds Another Layer
OpenAI also sells access to its AI models through APIs.
Developers and companies can integrate OpenAI models directly into their own applications.
This creates a business-to-business revenue stream separate from ChatGPT subscriptions.
API Business Model
Developer
↓
OpenAI API
↓
AI model usage
↓
Pay based on usage
↓
OpenAI revenue
The API business also allows OpenAI to participate in thousands of applications without requiring users to directly interact with ChatGPT.
Why Revenue Is Growing So Quickly
Several factors are working together.
Main Growth Drivers
ChatGPT subscriptions
+
Enterprise adoption
+
AI coding
+
API usage
+
Advertising
+
New AI products
↓
Rapid revenue expansion
The company is also benefiting from the broader normalization of generative AI among businesses.
AI has moved from experimental projects toward production deployments in many organizations.
OpenAI Is Racing Anthropic
The revenue milestone comes as OpenAI faces increasing competition from Anthropic.
Anthropic has built a strong position in enterprise AI through its Claude models and coding products.
Reports indicate that Anthropic’s annualized revenue run rate has also surged, creating a direct commercial race between the two companies.
| Company | Reported Annualized Revenue Pace |
|---|---|
| OpenAI | $40 billion+ |
| Anthropic | Tens of billions |
| Main consumer product | ChatGPT |
| Main Anthropic product | Claude |
| Major competition area | Enterprise AI |
| Major growth area | AI coding |
The competition is increasingly focused on which company can turn advanced AI models into sustainable commercial businesses.
OpenAI Is Changing Its Sales Leadership
OpenAI has appointed Dali Rajic as its new chief revenue officer.
Rajic previously served as president and chief operating officer of Wiz, the cybersecurity company owned by Google.
He replaces Denise Dresser, who joined OpenAI in late 2025 and is now leaving the company.
OpenAI’s Commercial Leadership Shift
Denise Dresser
↓
Chief revenue officer
↓
Leaves OpenAI
↓
Dali Rajic
↓
New chief revenue officer
↓
Enterprise + commercial growth
The leadership change comes at a critical point as OpenAI attempts to convert rapid AI adoption into even larger enterprise revenue.
Why the CRO Role Matters
OpenAI’s technology has already achieved enormous consumer adoption.
The next challenge is monetization.
A strong commercial organization can help OpenAI sell more products to large businesses, expand existing accounts and improve pricing and distribution.
Commercial Growth Strategy
More enterprise customers
+
Larger contracts
+
Higher usage
+
More products
↓
Higher revenue per customer
↓
Revenue growth
This becomes particularly important as AI competition intensifies.
The $40 Billion Milestone Comes Ahead of an IPO
OpenAI is increasingly preparing for a potential public-market listing.
The company has been making organizational and financial changes that could help it eventually operate as a public company.
The sharp increase in revenue strengthens its IPO narrative.
IPO Story
Rapid revenue growth
+
Massive AI market
+
Large consumer base
+
Enterprise adoption
+
Growing profitability potential
↓
Potential IPO
Investors, however, will also examine OpenAI’s enormous costs.
Revenue Is Growing, But Costs Are Also Huge
AI models require enormous computing resources.
Training and operating frontier models requires specialized chips, data centers and large amounts of electricity.
OpenAI therefore faces a fundamental challenge:
AI Economics
Revenue
↑
But
Compute costs
↑
Data-center spending
↑
Model-training costs
↑
Research spending
↓
Need for massive scale
The company needs revenue to grow faster than its infrastructure and operating expenses over time.
OpenAI Is Investing Billions in AI Infrastructure
OpenAI has been involved in major infrastructure initiatives, including the Stargate project.
The broader strategy involves building large-scale computing capacity to support future AI models.
The company also works with cloud and infrastructure partners to secure access to advanced computing resources.
AI Infrastructure Stack
Chips
↓
Data centers
↓
Electricity
↓
Cloud infrastructure
↓
AI training
↓
AI inference
↓
ChatGPT + Enterprise + API
↓
Revenue
The scale of this infrastructure explains why OpenAI requires enormous amounts of capital despite its rapid revenue growth.
The Revenue Growth Could Strengthen OpenAI’s Valuation
A $40 billion annualized revenue pace could support a very large private-market valuation if investors believe the growth is sustainable.
OpenAI has already attracted enormous private investments.
The company has previously raised one of the largest private technology funding rounds in history.
Valuation Equation
Revenue growth
+
AI market expansion
+
Enterprise adoption
+
Consumer subscriptions
+
Future advertising
↓
Higher expected cash flows
↓
Potentially higher valuation
However, investors will also apply discounts for high infrastructure costs and uncertain long-term margins.
Revenue Growth Does Not Equal Profitability
This is one of the most important points for investors.
OpenAI can generate tens of billions of dollars in revenue while still spending heavily on computing infrastructure.
AI companies have unusually high variable costs compared with traditional software businesses.
Traditional Software
Revenue
↓
Software distribution
↓
Low marginal cost
↓
High potential margins
Frontier AI
Revenue
↓
Model inference
↓
GPU usage
↓
Data centers
↓
Electricity
↓
High operating costs
↓
Lower near-term margins
OpenAI will need to improve its cost structure as it scales.
Enterprise Customers Could Improve the Economics
Enterprise customers may be particularly valuable because they often sign larger and longer-term contracts.
Businesses may also use AI more extensively than individual consumers.
That can increase revenue per customer.
Enterprise Revenue Flywheel
Large customer
↓
AI deployment
↓
Higher usage
↓
More API and software revenue
↓
Additional AI products
↓
Larger contract
↓
Higher recurring revenue
This is one reason OpenAI is emphasizing enterprise sales.
Coding Could Become a Major Enterprise Product
Coding is especially attractive because software development is a large business expense for companies.
If AI agents can automate meaningful parts of software development, businesses may be willing to pay substantial amounts for these tools.
OpenAI is competing directly with specialized coding companies and other AI labs.
AI Coding Market
OpenAI
+
Anthropic
+
+
Cursor
+
Other coding startups
↓
AI-assisted development
↓
Large enterprise opportunity
The competition could drive rapid innovation but also pressure pricing.
OpenAI’s Consumer Business Remains Important
Despite the enterprise push, ChatGPT’s consumer business remains central.
Millions of users interact with the service for:
- Writing
- Learning
- Research
- Coding
- Image generation
- Productivity
- Personal assistance
The enormous user base gives OpenAI a distribution advantage when launching new products.
ChatGPT Distribution Advantage
Existing users
↓
New feature
↓
Immediate exposure
↓
Higher adoption
↓
Potential subscription upgrade
↓
More revenue
This makes ChatGPT an important platform rather than simply an AI chatbot.
Advertising Could Change the Consumer Economics
Advertising could allow OpenAI to monetize users who do not subscribe.
That creates a second revenue path.
Free User Monetization
Free ChatGPT user
↓
Advertising
↓
Revenue
OR
Free user
↓
Product engagement
↓
Premium upgrade
↓
Subscription revenue
This could increase the economic value of OpenAI’s enormous free-user base.
OpenAI’s Revenue Growth Reflects the Broader AI Boom
The company’s expansion is part of a much larger shift in technology spending.
Businesses are increasingly allocating budgets toward AI infrastructure, software and automation.
The AI market is expanding across:
- Cloud computing
- Semiconductors
- Enterprise software
- Cybersecurity
- Coding
- Data analytics
- Customer service
- Robotics
OpenAI is positioned at the centre of several of these markets.
But Competition Is Becoming More Intense
OpenAI no longer operates in a market with only a handful of serious competitors.
Google, Anthropic, Meta, xAI and other companies are investing billions in AI models and infrastructure.
The competitive landscape is changing rapidly.
AI Model Race
OpenAI
↔
Anthropic
↔
↔
Meta
↔
xAI
↔
Other AI companies
↓
Faster models
+
Lower prices
+
Better products
↓
Pressure on margins
OpenAI must therefore continue investing heavily to maintain its position.
The Biggest Question Is Sustainable Growth
Doubling revenue in a short period is impressive.
Maintaining that growth rate is much harder.
As the company becomes larger, adding another $20 billion in annualized revenue requires a much larger amount of new business.
Scaling Challenge
$20 billion
↓
$40 billion
↓
$80 billion
↓
$100 billion+
Each step requires increasingly large customer adoption and infrastructure capacity.
Investors will therefore focus on whether OpenAI can maintain strong growth after its current expansion phase.
Key Numbers at a Glance
$40 billion+
OpenAI’s current annualized revenue run rate
~$20 billion
Approximate annualized pace at the end of 2025
~2X
Increase in annualized revenue pace
~$3.3 billion
Monthly revenue pace implied by a $40 billion annualized run rate
$40 billion
OpenAI’s major 2025 funding round
$300 billion
Post-money valuation attached to that 2025 funding round
$122 billion
Committed capital in OpenAI’s reported 2026 funding round
$852 billion
Post-money valuation reported for the 2026 funding round
$2.5 billion
Previously reported projected advertising revenue for 2026
What Investors Will Watch Next
The next stage of OpenAI’s growth will be measured by more than revenue.
Investors will closely watch:
- Enterprise customer growth
- ChatGPT subscriber growth
- API usage
- Coding revenue
- Advertising revenue
- Compute costs
- Gross margins
- Free cash flow
- Infrastructure spending
- Model-development costs
The relationship between revenue growth and compute spending will be especially important.
OpenAI’s Path Toward Profitability
The company has historically prioritized expansion over near-term profits.
That strategy made sense when the primary objective was to build the world’s leading AI platform.
As revenue approaches tens of billions of dollars, however, investors will increasingly expect evidence that scale can eventually produce sustainable profitability.
Growth-to-Profit Transition
Early stage
↓
Build models
↓
Acquire users
↓
Invest heavily
↓
Scale revenue
↓
Improve efficiency
↓
Expand margins
↓
Generate cash
OpenAI is now moving deeper into the transition from the growth phase toward the economics phase.
The Bigger AI Business Is Becoming Clearer
The $40 billion milestone demonstrates that frontier AI can support a very large commercial business.
The revenue is coming from several different sources rather than one product.
Subscriptions, enterprise software, APIs, coding tools and advertising are gradually forming a diversified AI business model.
OpenAI’s Commercial Ecosystem
ChatGPT
+
Enterprise
+
API
+
Codex
+
Advertising
+
Future AI agents
↓
Diversified AI platform
This could make OpenAI less dependent on any single revenue stream.
Looking Ahead
OpenAI’s annualized revenue run rate crossing $40 billion marks another extraordinary milestone for the artificial intelligence industry. The company has roughly doubled its revenue pace from the end of 2025, with growth being driven by ChatGPT subscriptions, enterprise adoption, coding products, API usage and the early development of advertising. The figure is an annualized run rate rather than finalized full-year revenue, but it nevertheless shows how quickly OpenAI’s commercial business is expanding as generative AI moves deeper into consumer and corporate workflows.
The next challenge will be converting that explosive revenue growth into sustainable economics. OpenAI faces enormous expenses for GPUs, data centers, electricity and model development, while competitors such as Anthropic, Google and others are investing heavily to capture the same enterprise customers. With a potential IPO increasingly on the horizon, OpenAI will face greater scrutiny over margins, cash flow and infrastructure spending. If the company can continue growing revenue while improving the economics of AI inference and enterprise software, the $40 billion milestone could become an early step toward a much larger technology business.
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