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WireSift Research · AI Adoption Tracker · Q1 2026

AKAMAkamai Technologies, Inc.

AI revenue and adoption · Q1 2026 earnings call

Information TechnologyMonetizing
AI mentions
30
extracted from this call
Max specificity
5 / 5
financialized — dollar / segment level
AI revenue
Disclosed
explicit segment
AI was the dominant theme of the call, anchored by the announcement of a landmark $1.8 billion, seven-year cloud infrastructure services deal with a 'leading frontier model company'—the largest customer deal in Akamai history. Management positioned Akamai as an AI infrastructure provider leveraging its globally distributed platform for AI inference at the edge, underpinned by NVIDIA GPU deployments. AI also featured prominently in the security discussion, with management arguing that AI-powered attacks create an urgent and growing tailwind for Akamai's WAF, API security, and segmentation products.
AI Revenue Disclosure
Amount
95
Growth
40% YoY as reported, 39% in constant currency
% of total
8.8
Method: explicit segment
Cloud infrastructure services, or CIS, revenue got off to a robust start to the year with revenue of $95 million, up 40% year over year as reported and 39% in constant currency.
Public Company AI Adoption Index
Adopter
See full leaderboard →
Composite
97/ 100
#1 overall · #1 in Information Technology
Depth · 40%
100
stage: monetizing · max spec: 5
Disclosure · 40%
100
rev: explicit_segment $95M +40% YoY as reported, 39% in constant currency · 2 quant outcomes
Breadth · 20%
85
3 scopes
Adoption scopes:product_standaloneinfrastructure_buildproduct_embedded
Every claim, sourced

30 AI mentions from this call.

Extracted verbatim from the AKAM Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.

  • T5Prepared remarks· CEO· Standalone AI product
    Today, we are very excited to announce another major milestone for our cloud computing strategy and the evolution of Akamai Technologies, Inc.: the signing of a landmark seven-year $1.8 billion commitment for our cloud infrastructure services by a leading frontier model company.
    F. Thomson Leighton, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T5Prepared remarks· CFO· Standalone AI product
    driven by today's announced $1.8 billion win, the $200 million four-year CIS deal we announced last quarter, and our rapidly accelerating pipeline, we now expect total company annual top-line revenue growth to reach double digits in 2027.
    Edward J. McGowan, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T5Prepared remarks· CFO· Standalone AI product
    we expect to spend a total of approximately $800 million to $825 million over the next twelve months to support this customer. We expect to deploy roughly $700 million of that total in 2026, with the remaining balance falling into 2027.
    Edward J. McGowan, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T5Prepared remarks· CEO· Standalone AI product
    This is the largest customer deal in Akamai Technologies, Inc. history, and it comes on the heels of the $200 million CIS deal we announced in February with a major U.S. tech company also at the forefront of the AI revolution.
    F. Thomson Leighton, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T5Prepared remarks· CFO· Standalone AI product
    we anticipate our full year capital will be approximately 40% to 42% of total revenue, including the $700 million impact from the $1.8 billion contract we mentioned earlier.
    Edward J. McGowan, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T5Prepared remarks· CFO· Standalone AI product
    For cloud infrastructure services, we are raising our outlook to at least 50% year-over-year growth in constant currency.
    Edward J. McGowan, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T4Q&A· CFO· Infrastructure build
    Analyst questionparaphrased· Baird· William Power
    when you talk about needing additional GPUs, do you need more to satisfy the new deal, or is that more related to the building pipeline?
    All the CapEx we need to satisfy the $1.8 billion deal is in the guidance—separate from my comment around potential additional GPU purchases tied to the broader pipeline. Demand is very strong with opportunities ranging from a couple hundred GPUs to a thousand or more per customer. The last incremental GPU order we discussed was around $250 million in CapEx; I do not have a size for a potential next order yet.
    Edward J. McGowan, AKAM earnings call
    PartnersNVIDIA
  • T3Prepared remarks· CEO· Standalone AI product
    since the start of the year, a leading cloud and digital infrastructure provider in Asia chose our GPUs to support their low-latency live streaming media service. An AI company in the U.S. chose our GPU platform to power their voice-first solution to optimize business operations. An AI-powered video intelligence platform in India chose our GPU platform to scale video analytics and computer vision workloads for retailers. A consumer AI platform in the U.S. chose Akamai Technologies, Inc. Cloud to run and scale live personalized agents. An AI commerce company in India chose our distributed inference platform to power their ad personalization engine.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai GPU Platform, Akamai Cloud, Akamai Distributed Inference Platform
  • T3Q&A· CEO· Product-embedded AI
    Analyst questionparaphrased· Needham· Michael Joseph Cikos
    it is great to hear that your largest security product, WAF, is seeing stronger growth. What is driving that?
    There are real advances in AI, and it is getting much better at finding vulnerabilities and helping attackers penetrate enterprises and take over devices. You need our defenses now more than ever. There are billions of devices that you cannot patch, and the adversary can find ways into those devices and take them over. We are seeing much bigger attacks than before—application layer attacks from millions of distributed IPs with millions of attacks per second.
    F. Thomson Leighton, AKAM earnings call
    ProductsWAF
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Raymond James· Frank Garrett Louthan
    How many locations do you have Inference Cloud built out to currently, and what is the plan?
    The Inference Cloud covers all of our 4,300 locations with functions as a service running in a serverless way in all 4,300. We have our managed container service running in well over 100 cities and can run in all 700 cities; it is active in well over 100 today. We have full IaaS capabilities in several dozen cities, and a couple dozen of those are equipped with the new 6000-series GPUs.
    F. Thomson Leighton, AKAM earnings call
    PartnersNVIDIA
    ProductsAkamai Inference Cloud, Functions as a Service, Managed Container Service
  • T3Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· JPMorgan· Arti Vula
    What changed that brought this business to your doorstep seemingly quickly?
    The goal has been to deploy a distributed inference and compute platform that would be desired by enterprises across the spectrum, including many large customers. Akamai Technologies, Inc.'s customer base features many of the world's largest enterprises; they spend 10x or more on compute than they do on our traditional delivery and security services.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Distributed Inference Platform
  • T3Prepared remarks· CEO· Customer demand signal
    Because AI is enabling attackers to take over more devices and create enormous bot armies, we are now seeing attacks with unprecedented volumes. Just in the last few weeks, we neutralized a series of app-layer attacks with millions of malicious requests per second from millions of widely distributed IPs.
    F. Thomson Leighton, AKAM earnings call
    ProductsWAF
  • T3Prepared remarks· CFO· Infrastructure build
    Our current pipeline for GPUs significantly exceeds our existing and projected inventory, meaning we may place additional GPU orders in the second half of the year to meet this demand. This is not factored into our current annual CapEx guide.
    Edward J. McGowan, AKAM earnings call
    PartnersNVIDIA
  • T3Prepared remarks· CFO· Infrastructure build
    For Q2, CapEx is expected to jump significantly as we start to take delivery of the NVIDIA GPUs we discussed on our last quarterly earnings call, and we catch up on some of the CapEx that pushed from Q1 into Q2.
    Edward J. McGowan, AKAM earnings call
    PartnersNVIDIA
  • T3Prepared remarks· CEO· Infrastructure build
    At GTC in March, we unveiled the industry's first global-scale implementation of NVIDIA's AI grid, and we announced the rollout of thousands of NVIDIA RTX Pro 6000 GPUs.
    F. Thomson Leighton, AKAM earnings call
    PartnersNVIDIA
    ProductsNVIDIA AI Grid, NVIDIA RTX Pro 6000
  • T2Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· UBS· Roger Boyd
    Congrats on the landmark deal there. Maybe if you can, Tom, just broad strokes about the competitive set to win that deal. Are you going toe to toe with hyperscalers or neo-clouds?
    yes, we do compete with the hyperscalers and the neo-clouds with our cloud infrastructure services. That is the primary competition. They select Akamai Technologies, Inc. because of our proven ability to manage and scale complex distributed systems, our ability to get the necessary data center space in locations around the globe, to interconnect that with the world's largest and best-performing delivery network and leading security solutions.
    F. Thomson Leighton, AKAM earnings call
    ProductsCloud Infrastructure Services
  • T2Q&A· CEO· Customer demand signal
    Analyst questionparaphrased· UBS· Roger Boyd
    On security, could you unpack what you are seeing from a demand perspective there?
    I do not think I have ever seen the CSOs more agitated and feeling more of a sense of urgency than they are now. Over the last several weeks, couple of months, I have had the chance to meet with a lot of the world's biggest company CSOs, in many cases the CEOs and senior executives, and they are very concerned about what happens when the attackers get access to advanced AI with the latest AI frontier models, which it seems that they will.
    F. Thomson Leighton, AKAM earnings call
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· KeyBanc Capital Markets· Aidan Daniels
    how should we think about the proportion of CPU versus GPU inference cloud going forward?
    in general with inference and AI, you need both CPU and GPU. Part of the value we provide is that we can help provide the computational resource that is most appropriate for the workload, which might be CPU or might be GPU, because you want to be as efficient as possible and have it be as close as possible to the user so you get the best performance.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Inference Cloud
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Morgan Stanley· Sanjit Singh
    with potential billions of agents, has the team revisited the thesis around secular growth prospects in delivery?
    AI and agents are a whole new vulnerability surface, and there is a real tailwind for our security technology group. There will be some delivery traffic that used to be human-generated now agent-generated, but that does not make a huge swing in bits delivered unless agents are dealing with video or generating video, which can drive a lot of traffic.
    F. Thomson Leighton, AKAM earnings call
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Scotiabank· Patrick Edwin Colville
    When I think about this mega deal, is that a highly distributed use case, or should we think about it as being served from a few, like, sub-10 type data centers?
    yes, they very much rely on our distributed platform, where you want to get the agents and the applications, the business logic, close to users and close to the data so you get low latency and scalability. Particularly anything to do with video processing or video generation needs a lot of scale, and Akamai Technologies, Inc. is unique there.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Distributed Platform
  • T2Prepared remarks· CEO· Product-embedded AI
    our large and very experienced human security operations team that is equipped with the latest AI tools to enhance visibility and minimize response times, and our innovative, rapidly evolving and AI-enabled product suite to help prevent penetrations and to limit the damage when penetrations do occur.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Security Operations
  • T2Prepared remarks· CEO· Infrastructure build
    By integrating NVIDIA AI infrastructure into Akamai Technologies, Inc.'s massive distributed platform and by leveraging intelligent workload orchestration across our network, we intend to move the market for AI beyond isolated AI factories toward a unified, distributed grid for AI inference.
    F. Thomson Leighton, AKAM earnings call
    PartnersNVIDIA
    ProductsAkamai Inference Cloud
  • T2Prepared remarks· CEO· Product-embedded AI
    Frontier models are changing vulnerability management, and we are proud to be one of the industry's must-have security providers partnering with the frontier model companies to help ensure the safe, rapid deployment of AI-enhanced defenses.
    F. Thomson Leighton, AKAM earnings call
    Partnersfrontier model companies (unnamed)
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Morgan Stanley· Sanjit Singh
    On the $1.8 billion contract, is that more of a public cloud opportunity, or was it specifically for Akamai Technologies, Inc. Inference Cloud?
    we have signed contracts across the spectrum for our inference cloud and our cloud capabilities for both GPUs and CPUs. Our value is bringing the right hardware for the application and placing it where you get the best benefit.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Inference Cloud
  • T2Prepared remarks· CEO· Product-embedded AI
    Our WAF, in particular, is seeing growing interest from customers eager to deploy the latest defenses for vulnerabilities that could be exposed by the ever-strengthening frontier models and AI-powered attacks.
    F. Thomson Leighton, AKAM earnings call
    ProductsWeb Application Firewall (WAF)
  • T2Q&A· CEO· Standalone AI product
    Analyst questionparaphrased· Guggenheim Securities· John DiFucci
    Do you expect that to have any effect on your delivery or compute business forecast?
    We partner with OpenAI on security vulnerabilities, helping define them and protecting our customers for the associated attacks, but OpenAI is not and has not been a customer of Akamai Technologies, Inc.
    F. Thomson Leighton, AKAM earnings call
    PartnersOpenAI
  • T2Q&A· CEO· Infrastructure build
    Analyst questionparaphrased· Raymond James· Frank Garrett Louthan
    How many locations do you have Inference Cloud built out to currently, and what is the plan?
    Our orchestration layer is designed to make that possible, aligned with the AI grid vision from NVIDIA—think of AI like an electrical grid, and that is what Akamai Technologies, Inc. is building.
    F. Thomson Leighton, AKAM earnings call
    PartnersNVIDIA
    ProductsAkamai Orchestration Layer
  • T2Prepared remarks· CEO· Infrastructure build
    Now we are leveraging our global footprint and years of experience supporting the world's largest enterprises to become an industry infrastructure provider for the AI-driven economy.
    F. Thomson Leighton, AKAM earnings call
  • T2Prepared remarks· CEO· Standalone AI product
    By bringing powerful compute directly to the data and the users at the edge, Akamai Technologies, Inc. is enabling and securing the next generation of agentic AI.
    F. Thomson Leighton, AKAM earnings call
    ProductsAkamai Edge Compute
  • T2Prepared remarks· CFO· Standalone AI product
    Even more encouraging, the pipeline for AI-specific use cases is building rapidly.
    Edward J. McGowan, AKAM earnings call
    ProductsCloud Infrastructure Services
Q&A Dynamics

What management wouldn’t quantify.

Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.

  1. Identity of the $1.8 billion frontier model customer not disclosed; use case (inference vs. training vs. agentic) not confirmed.
  2. Identity of the $200 million CIS deal announced in February not disclosed.
  3. No breakdown of AI-specific vs. non-AI CIS revenue within the $95 million Q1 CIS figure.
  4. No gross margin or operating margin disclosed specifically for the $1.8 billion deal or CIS segment.
  5. GPU count deployed or on order not fully quantified (only 'thousands of NVIDIA RTX Pro 6000 GPUs' mentioned).
  6. No ARR or bookings figure provided for the broader AI pipeline beyond the two announced deals.
  7. API security and Guardicore growth rates not separately quantified in Q1 (only described as 'majority of what is driving growth').
  8. No specifics on the NVIDIA AI Grid commercial terms or revenue-sharing arrangement.
  9. Declined to confirm whether the $1.8 billion deal is for Inference Cloud specifically or broader cloud infrastructure (Morgan Stanley question deflected).
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Sourced from primary documents · See the methodology for the extraction approach.