OpenAI Fights Back in AI Competition as Revenue Hits $40B, Anthropic Maintains Lead at $47B

Reviewed byNidhi Govil

15 Sources

Share

The AI competition between OpenAI and Anthropic intensifies as new data reveals OpenAI's annualized revenue exceeds $40 billion with 20% month-over-month growth in July. Despite Anthropic's $47 billion revenue lead and 44% market share among business users, OpenAI is gaining ground through new privacy features and enterprise products.

OpenAI Accelerates Revenue Growth Despite Trailing Anthropic

OpenAI has achieved annualized revenue exceeding $40 billion, representing roughly twice the run rate it recorded at the close of 2025, according to recent reports

5

. The acceleration marks a significant milestone for the AI competition as both OpenAI and Anthropic prepare for their respective IPOs. Co-founder and President Greg Brockman announced internally that the company's annual revenue run rate grew more than 20% month-over-month in July, driven by rising demand for AI coding products, subscription growth, and early advertising revenue streams

5

.

Despite this momentum, Anthropic maintains a commanding lead with $47 billion in annualized revenue disclosed in May

5

. The gap widened during Q2, when Anthropic more than doubled its revenue to $11.6 billion while OpenAI's grew just 18% to $6.7 billion

3

4

. OpenAI's operating loss also widened from $9.3 billion to $12.3 billion during the same period, meaning losses grew by $3 billion while revenue added only $1 billion

4

.

Source: The Next Web

Source: The Next Web

Shifting Market Share Among Business Users

New data from Ramp, the corporate credit card and expense management company, reveals volatile AI market share dynamics among over 70,000 American businesses spending billions through its platform

1

. Anthropic captured the lead among Ramp's paying business users in May with 41% market share to OpenAI's 39%, and has maintained that advantage through July with nearly 44% compared to OpenAI's nearly 40%

1

.

However, Ramp economist Ara Kharazian notes that OpenAI is currently growing faster among this segment in Q3 to date than Anthropic

1

. The data shows businesses are willing to switch between providers as each lab releases new models, volatility that raises questions about how sticky enterprise AI spending really is. The percentage of companies paying for AI among Ramp customers has been steadily climbing, topping 50% in March and reaching nearly 56% by July

1

.

OpenAI Introduces Private Safety Processing to Counter Anthropic

Sensing an opportunity to differentiate itself, OpenAI announced Private Safety Processing, a privacy-centric safety approach to monitoring for misuse that retains none of the customer's data

2

. This automated system watches for potential abuse while simultaneously protecting customer privacy, directly countering Anthropic's recently announced 30-day data retention policy for covered models including all Mythos-class models and Fable

2

.

Source: CXOToday

Source: CXOToday

The new AI safety feature widens the scope of Zero Data Retention by providing long-horizon safety monitoring that assesses inputs and outputs across multiple conversations rather than single sessions

2

. This helps detect malicious use of AI that takes place over multiple sessions without human review of user conversations. When triggered, the system sends a narrowly defined signal to OpenAI warning of specific activity, allowing the company to reach out to customers for context while letting them choose whether to share data

2

.

Product Strategy Drives Recent Momentum

OpenAI attributes its revenue surge to several strategic factors. Chief Financial Officer Sarah Friar told investors that most of the company's revenue now comes from business users, with business customer revenue growing 32% in July from the month before

4

. Three products are driving this momentum: the GPT-5.6 model series, ChatGPT Work, and Codex

5

. Kharazian noted that GPT-5.6 Sol is increasingly the choice for developers

1

.

By contrast, Fable 5 disappointed in both adoption and real-world application given price and data retention requirements imposed by regulators

1

. OpenAI has also lowered pricing on select models to fight for budget-sensitive customers in a crowded AI sector that includes Anthropic and numerous Chinese competitors

5

.

Leadership Changes and IPO Preparations

OpenAI named Dali Rajic as its new chief revenue officer, replacing Denise Dresser who is leaving after less than a year

5

4

. Rajic most recently served as president and chief operating officer of cybersecurity firm Wiz. The leadership change follows the departure of former chief operating officer Brad Lightcap and Fidji Simo, once seen as a possible successor to CEO Sam Altman

4

.

Both companies are racing toward IPOs with vastly different financial profiles. OpenAI submitted a confidential IPO prospectus to the Securities and Exchange Commission in June after posting a net loss of $38.5 billion in 2025 on $13.07 billion in revenue

5

. Anthropic could go public as soon as this autumn with investors targeting a $2 trillion valuation, while OpenAI is likely to follow next year

4

.

Source: PYMNTS

Source: PYMNTS

Implications for Tech Partners and Suppliers

The shifting dynamics in the AI competition have consequences for partner companies. Paul Meeks, head of technology research at Freedom Capital Markets, noted that Anthropic's partners like HUT potentially win while OpenAI's potentially lose, with Oracle being the most threatened as its remaining performance obligations are dominated by OpenAI

3

. Since late April, Oracle stock is down about 12%, CoreWeave is down about 17%, and Broadcom is down about 13%

3

.

Since Anthropic gets most of its compute from Google and Amazon on Trainium chips and TPUs rather than Nvidia chips, this feeds into a different ecosystem including Broadcom, according to Gil Luria, head of technology research at DA Davidson

3

. However, analysts believe OpenAI remains solidly stitched into the fabric of the AI buildout, with Yi Fu Lee of Benchmark noting that at the end of the day, the models are interchangeable

3

.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved