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OpenAI advertising revenue
  • OpenAI

OpenAI’s advertising revenue has reached a $1 billion annualized revenue run rate, the company said this week. That figure takes the money coming in now and stretches it across a full year, so it shows the pace of income rather than cash already banked. The number stands out because the ad business is only about 200 days old. For a product that young, the speed says something about how quickly advertisers are testing the platform.

What the milestone means

OpenAI calls the result proof of a “diversified business model,” meaning income from more than one source. The company already earns from enterprise deals, consumer subscriptions, and usage-based programming interfaces, the tools that let outside software connect to its systems. Advertising now sits beside those streams. For context, the ad product passed $100 million on the same measure within weeks of its launch, so the climb has been fast. ChatGPT ads appear for people on the free tier and the lower-cost Go plan, and that free tier makes up most of the roughly 1 billion weekly users. Such reach gives the business room to grow. OpenAI shared the update as it widens the product into new regions.

OpenAI’s advertising revenue and the road to an IPO

Timing here is not random. OpenAI is preparing for a public listing, and ahead of the OpenAI IPO, the company faces pressure to defend a high price. The $852 billion OpenAI valuation is the figure investors have placed on the business, and a second or third income stream makes it easier to justify. This listing could rank among the biggest tech debuts in years, which raises the bar for the numbers OpenAI shows. OpenAI’s advertising revenue gives the company a growth story beyond subscriptions, which is what public investors tend to reward.

How ChatGPT ads work

OpenAI started testing ads inside ChatGPT in the United States in February. The move was expected and also drew criticism. Digital advertising has long paid the bills for Google and Meta, so the direction felt familiar, yet a chatbot carrying ads was new. The ads run beneath answers rather than inside them, and each carries a clear sponsored label. OpenAI says the ads do not change ChatGPT’s replies, and advertisers cannot see private conversations. The step also marked a change of heart at the top. Sam Altman, the company’s chief executive, had once called advertising a last resort and worried that users might trust a chatbot less if it sold products. The company now says it does not show ads to people it believes are under 18. OpenAI’s advertising revenue rests on that trust, since a user who doubts the answers has little reason to stay.

Not everyone welcomed the shift. Anthropic, OpenAI’s main competitor, mocked the ad push and built its first Super Bowl campaign around one pitch: a chatbot without ads. Meanwhile, the wider industry is moving the same way. Google is folding ads into its AI answers, and other large platforms are testing similar ideas. That competition raises the stakes, because OpenAI is chasing budgets Google and Meta already control. How much of that money shifts to chatbots is far from settled.

Where OpenAI’s advertising revenue goes next

ChatGPT ads run in more than 40 countries today. OpenAI is widening self-service buying through a system called ChatGPT Ads Manager, which lets businesses run their own campaigns without a sales rep, across India, Europe, the Middle East, and North Africa. The company says its coming expansion will reach more markets and add new ad formats, buying options, and better measurement. OpenAI also plans to test more native ways for businesses to reach people inside ChatGPT. Whether OpenAI’s advertising revenue can climb from a $1 billion run rate toward the much larger targets the company has floated will depend on how many advertisers stay once the novelty fades.

  • 4 min read
OpenAI's executive departures continue
  • OpenAI

OpenAI’s executive departures continue, and the newest one hits a corner of the company that decides how fast its AI can grow. The Wall Street Journal reported that Chris Malone, the OpenAI head of data centers, left last week. He joined in March 2025 after more than a decade at Google and nearly five years at Meta, so his run at the lab stayed short.

Picture what that seat holds. Every AI model needs computing power, and that power needs buildings packed with servers. The person steering that work holds one of the most watched jobs in the field. When they leave, people pay attention.

A short-lived reorganization?

Before Malone left, OpenAI changed the shape of his role. He stopped reporting to president Greg Brockman and began reporting to vice president Sachin Katti, who took over the group. In a statement, OpenAI said it had “recently reorganized” its infrastructure organization to match the scale and pace of its work. The company said it keeps a deep data center team with clear leadership.

Several leaders now share the load. Uday Ruddarraju runs the data center team. Brent Mayo handles build and delivery. Spas Lazarov, a veteran of the data center and energy sectors, leads all data center engineering.

Why OpenAI’s executive departures continue to draw scrutiny

Malone is not walking out alone. His exit follows a long run of OpenAI executive departures, and Business Insider counted 13 in 2026, with several in the past month. These are not junior staff. They sit near the top. OpenAI’s executive departures continue at a pace few large companies would shrug off.

Two weeks ago, OpenAI replaced chief revenue officer Denise Dresser after roughly eight months. Days before that, longtime chief operating officer Brad Lightcap said he would leave to “start something new,” though he shared no plans. About a month earlier, Fidji Simo stepped down as the company’s second-in-command to recover from a “chronic illness.” She stays on as an adviser.

The safety and ethics side has thinned too. OpenAI lost its head of ethics, Chloé Bakalar, in July. Reports also said the company disbanded its preparedness team, the unit that studied whether its models could cause catastrophic harm. Some leaders left because their projects closed. Bill Peebles, who ran the shuttered image tool Sora, was one. Kate Rouch, the former chief marketing officer, left in April for health reasons.

What the OpenAI executive exodus means before the IPO

The company plays down the OpenAI executive exodus. Brockman has said the bright spotlight on the company means every exit gets picked apart in a way rivals avoid. There is truth in that. Even so, the pattern raises real questions.

Reporting from CNBC and Bloomberg points to a shift in strategy. The company has leaned less on the Stargate project and moved toward leasing data center space from cloud providers. That change helps explain the reshuffle around Malone’s team.

Timing sharpens the worry. OpenAI’s public listing, once expected this year, is now reported to be pushed to 2027. A looming OpenAI IPO in 2027 brings a hard look at the numbers. Reporting has questioned whether the company is overvalued and whether its profit can match the huge sums flowing in. As OpenAI’s executive departures continue, investors will weigh what the churn says about the company, while the people still inside keep the work moving.

  • 3 min read
Alibaba eyes AI infrastructure spending
  • Data Centers

Alibaba AI infrastructure spending is climbing again, and the company wants shareholders to fund it. The Chinese ecommerce and cloud group is selling HK$80 billion of new shares, roughly $10.2 billion, with every dollar of net proceeds going into its full-stack AI capabilities. That covers chips, data centres, and the models running on top of them. The Alibaba share placement is the largest primary follow-on offering ever from a Hong Kong-listed company. Globally it ranks third this year, behind Alphabet and Intel.

Pricing tells you how the market took it. Alibaba set 710 million new shares at HK$112.70 each, against a Friday close of HK$123. Hong Kong-listed shares dropped as much as 10 percent on Monday. Buyers at the discount get exposure to the buildout. Existing holders get dilution and a longer wait for returns. US investors were excluded from the deal.

The numbers behind the raise

Alibaba AI capex hit 67.7 billion yuan in the June quarter, up 75 percent from a year earlier. Net profit fell by the same proportion over that period, to roughly $1.5 billion, and free cash outflow reached $6.6 billion. Alibaba AI infrastructure spending sits inside a three-year plan worth at least 380 billion yuan, and the company says it has already spent close to half. CEO Eddie Wu told analysts the compute capacity has to exist before the growth can be captured.

Revenue is arriving behind the bill. Alibaba Cloud revenue from AI and compute services rose 45 percent to 48.44 billion yuan in the quarter, the fastest pace in 22 quarters. Payback on AI-related investment is now expected in about 2.5 years, down from three.

What Alibaba AI infrastructure spending means for you

Hold the stock, and you absorb the dilution today for capacity that pays later, if the demand holds. Build with AI in Asia, and the calculation flips, because more compute usually means cheaper inference and stronger models. The Qwen AI model family sits at the centre of that trade. Alibaba released Qwen 3.8-Max weeks ago, and early benchmarking points to strength in agentic coding, where bots write and repair code from high-level instructions.

China AI investment runs hot

This raise lands in a market already paying up. Chipmaker CXMT pulled in $8.6 billion at listing, and its shares rose 466 percent on debut. Humanoid robotics group Unitree raised $900 million last week, with shares climbing more than 600 percent on day one after retail demand topped 5,500 times the available allotment. Moonshot’s Kimi K3 launch last month added to the mood. China AI investment at these valuations carries real risk if earnings arrive slowly.

Washington is still a problem

Regulation shapes the rest of the story. The Pentagon in June returned Alibaba to a blacklist of Chinese companies treated as a national security risk, alongside Baidu and BYD, citing alleged links to the People’s Liberation Army. Alibaba has asked a US court to overturn the order. The company denies any PLA ties and rejects the claim it takes part in military fusion, where civilian industry works with the state defence sector. Xi Jinping and Donald Trump meet in the US next week, their second summit this year, with export controls and technology restrictions on the agenda. What comes out of that room decides how far Alibaba AI infrastructure spending can travel outside China.

  • 3 min read
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