Akamai announced on 24 September 2026 that Anthropic, the company behind the Claude AI models, has committed US$11.6 billion over seven years for dedicated cloud computing capacity. The deal can grow by up to another US$9 billion, and Akamai has given Anthropic the right to buy up to about 5% of its shares. Akamai estimates about US$5.5 billion in capital expenditure to deliver it. For a company that has spent more than 25 years delivering and securing online services, it is a very large step into AI infrastructure, and a clear sign of how far ahead AI capacity is now being booked.
What happened
The announcement came in an Akamai press release, Akamai Announces $11.6 Billion Multi-year Agreement with Anthropic to Support Growing Demand. It says the commitment covers growth in Anthropic's CPU workloads, delivered through Akamai Cloud's distributed infrastructure and software.
The legal detail is in Akamai's Form 8-K filed with the US Securities and Exchange Commission. On 18 September 2026 the two companies signed two new project plans under a master services agreement dated 5 May 2026. Under them Akamai will provide dedicated cloud computing capacity and related managed support, and Anthropic has committed to pay approximately US$11.6 billion in total. Each plan runs for an initial seven years from the date its service starts.
The commitment is not unconditional. The filing says it is subject to termination provisions and to delivery and service availability requirements. Among other things, Anthropic may end a project plan after a material outage, subject to conditions. Akamai has to build the capacity and keep it running to earn the money.
Akamai chief executive Dr Tom Leighton said in the release that the company is positioned "to be the infrastructure provider for secure and responsible AI applications and workloads." Anthropic is not quoted in the announcement.
Key details
| Item | What Akamai's release and filing say |
|---|---|
| Announced | 24 September 2026 (project plans signed 18 September 2026) |
| Commitment | Approximately US$11.6 billion over seven years |
| Possible expansion | Up to an additional US$9 billion, for a total potential commitment of approximately US$20 billion, on terms to be agreed for each purchase |
| What is supplied | Dedicated cloud computing capacity for Anthropic's CPU workloads, plus managed support |
| Warrant | Anthropic may buy preferred stock convertible into 7.7 million common shares, up to about 5% of Akamai's common stock, at US$111.33 per common share |
| Vesting | About 2% with the US$11.6 billion commitment; about 1% more for each additional US$3 billion of purchases |
| Akamai's capital spending | Estimated at approximately US$5.5 billion in total for this commitment. Akamai is also raising 2026 capital spending by approximately US$1.7 billion to pre-purchase components such as memory |
| Effect on 2026 revenue guidance | None expected |
The same filing discloses two supply agreements signed on 23 and 24 September: a hardware and services agreement with Lenovo, with a seven-year statement of work, and an arrangement under which the manufacturer Jabil may purchase about US$1.7 billion of memory components, with Akamai paying the supplier invoices. Akamai says the Anthropic commitment comes on top of more than US$2.8 billion in multi-year cloud infrastructure commitments across its customer base announced earlier in 2026.
Why it matters
AI needs more than graphics chips. Most headlines about AI infrastructure concern GPUs, the specialised chips used to train and run models. This contract is for CPU workloads, the general-purpose computing that surrounds a model: running the tools an AI agent calls, executing code, moving and checking data, and serving requests. As AI products shift from answering questions to carrying out tasks, that ordinary computing grows with them.
Capacity is being secured years in advance. A seven-year term and a US$5.5 billion build tell you how the largest AI companies see demand. They also show where the pressure is. Akamai is adding about US$1.7 billion to this year's capital spending simply to secure components, including memory, ahead of time.
Suppliers and customers are becoming financially tied. The warrant gives Anthropic a potential stake in its own supplier that grows as it spends more. The Next Web's report on the deal, citing Bloomberg, notes that some investors worry about such circular arrangements, in which companies that buy from each other also invest in each other, because they make real demand harder to measure.
The field of AI infrastructure providers is widening. A company that sells content delivery and security alongside cloud computing winning a contract of this size shows that AI computing is not supplied only by the largest cloud platforms.
What this means for businesses
No small or medium business will sign a contract like this, but nearly every one is downstream of deals like it. If your staff use Claude, or software built on it, the speed, availability and price of that service depend on the capacity its maker has managed to secure. The same is true of every other AI service.
Two practical points follow. First, AI services are now part of your supply chain and deserve the same attention as any other supplier: what do you depend on, what does the agreement promise, and what happens if it is unavailable for a day? Second, when the largest buyers pre-purchase memory by the billion, smaller buyers can face longer waits for servers, laptops and upgrades. That is our inference, not something Akamai has said, but it is a reason to plan hardware purchases early instead of at the last minute.
A short checklist:
- List the AI services your business uses, including features built into other software, and who the underlying provider is.
- Check each provider's terms for availability commitments, data location and what notice you get of changes.
- Identify any process that would stop if an AI service went down, and decide on a manual fallback.
- Avoid building a critical process around a single AI provider where a second option is practical.
- Plan hardware replacements and cloud budgets for the year ahead and place orders with lead time in mind.
- Review cloud bills quarterly. Usage-based AI features can grow quietly.
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Key takeaways
- Anthropic has committed approximately US$11.6 billion to Akamai over seven years for dedicated computing capacity, announced on 24 September 2026.
- The deal can expand by up to US$9 billion and includes a warrant over up to about 5% of Akamai's common stock.
- Akamai estimates about US$5.5 billion in capital spending to deliver it and is pre-purchasing memory and other components.
- The contract is for CPU workloads, a reminder that AI depends on general-purpose computing as well as GPUs.
- Businesses should treat AI services as suppliers: know what they depend on and have a fallback.
Frequently asked questions
What did Akamai and Anthropic announce?
On 24 September 2026 Akamai announced that Anthropic has committed approximately US$11.6 billion over seven years for dedicated cloud computing capacity and managed support, with the option to expand by up to a further US$9 billion.
Why does an AI company need CPU capacity?
GPUs run the AI model itself, but a great deal of surrounding work runs on ordinary processors: the tools an AI agent uses, code execution, data handling and serving requests. Akamai's release says the agreement supports growth in Anthropic's CPU workloads.
Is Anthropic buying part of Akamai?
Not outright. Akamai issued Anthropic a warrant, which is a right to buy shares later at a set price. It covers preferred stock convertible into 7.7 million common shares, up to about 5% of Akamai's common stock, at US$111.33 per common share, and it vests in stages as Anthropic's purchases grow.
Is the US$11.6 billion guaranteed?
No. Akamai's filing says the commitment is subject to termination provisions and to delivery and service availability requirements. Akamai must build and operate the capacity as agreed.
Does this change anything for businesses that use Claude?
Not immediately. Akamai's announcement does not give a service start date, and it says nothing about changes to Anthropic's products or pricing. The broader lesson is that AI services depend on long-term infrastructure contracts, so it is worth knowing which providers your business relies on.