Today: AI companies are making huge spending commitments that require an enormous leap of faith in their revenue-generating abilities, two cybersecurity professionals are indicted in a series of ransomware attacks, and the latest funding rounds in enterprise tech.
Today on Product Saturday: GitHub's bid to become the center of agentic coding, Cursor and Cognition roll out new coding-specific AI models, and the quote of the week.
Today: AWS posts its best growth rate in years as it becomes clear the AI boom is lifting all boats, Microsoft suffers a big Azure outage, and the latest enterprise moves.
Today: AI companies are making huge spending commitments that require an enormous leap of faith in their revenue-generating abilities, two cybersecurity professionals are indicted in a series of ransomware attacks, and the latest funding rounds in enterprise tech.
Welcome to Runtime! Today: AI companies are making huge spending commitments that require an enormous leap of faith in their revenue-generating abilities, two cybersecurity professionals are indicted in a series of ransomware attacks, and the latest funding rounds in enterprise tech.
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Long way to go and a short time to get there
Some truly astonishing numbers are being thrown around as we come to the end of the beginning of the generative AI boom. If cloud and AI companies somehow manage to follow through on the enormous deals they've made for computing infrastructure services over the past few weeks, they'll have pulled off one of the most incredible feats in tech history.
AWS finally welcomed OpenAI into its arms Monday with a $38 billion deal for its computing services. After Microsoft and OpenAI formally modified their agreement to allow OpenAI to find computing capacity from other companies, it felt like only a matter of time before it tapped AWS for capacity after signing a deal with Google Cloud earlier this year.
The companies said the deal will run for seven years but OpenAI will start using AWS's arsenal of Nvidia GPUs immediately, "with all capacity targeted to be deployed before the end of 2026, and the ability to expand further into 2027 and beyond."
But there's one problem with this buildout: An awful lot of these spending commitments are backloaded for 2027 or beyond, and depend on companies like OpenAI and Anthropic to find ways to grow revenue at an unfathomable speed.
Tunguz estimated that OpenAI would have to find a way to generate $111 billion in revenue during 2027 and $295 billion in 2028 to support its spending commitments over those years.
For comparison, Amazon CEO Andy Jassy said last week that AWS — a 15-year-old business that counts an enormous number of the world's enterprise companies as a customer — is on pace to do $132 billion in revenue this year, and Microsoft just recorded $281.7 billion in revenue during its most recent fiscal year, which ended in June.
Hitting those targets will require basically the entire enterprise computing world to decide to devote a big chunk of their IT budgets to accessing large-language models through APIs, or hiring OpenAI and Anthropic to build those systems for them, in the next two years. Gartner expects those IT budgets to grow by just 9.8% next year, which makes it a little hard to understand where the money will come from.
Brad Gerstner of Altimeter Capital asked OpenAI CEO Sam Altman about its spending commitments and revenue projections on a podcast over the weekend, and Altman's annoyed response to having his plans questioned was quite interesting.
"We are taking a forward bet that [revenue is] going to continue to grow and that not only will ChatGPT keep growing, but we will be able to become one of the important AI clouds, that our consumer device business will be a significant and important thing, that AI can automate science [and] will create huge value," he said, according to Fortune.
So, to recap: All OpenAI has to do to generate enough revenue to cover its spending commitments is to become one of the world's most important enterprise, consumer, and scientific companies in the next couple of years.
A lot can happen in a couple of years, but that would be quite an achievement.
The call is coming from inside the house
Cybersecurity executives worry constantly about insider threats to their data or operations, but according to a new indictment released this week, now they'll have to wonder whether the people they've hired to protect those assets are working both sides of the street. Federal prosecutors Monday accused three cybersecurity professionals of launching ransomware attacks against several businesses while helping other companies defend themselves against ransomware attacks.
Two of the men worked for Digital Mint, which "[provides] swift, compliant solutions for a safer digital future," and the other worked for Sygnia Cybersecurity Services, which promises customers that "we understand how malicious actors think and behave." The complaint does not suggest that the companies had any idea what their employees — who have since been fired — were doing, but it's not a great look.
If there's one silver lining in this story, it's that businesses are getting the message about refusing to pay the ransom when confronted with these kinds of attacks. The defendants targeted several businesses but only one paid $1.2 million in ransom, according to The Chicago Sun-Times.
Enterprise funding
Beacon Software raised $250 million in Series B funding for its private-equity-like approach to acquiring small companies and rebuilding them around AI.
Applied Compute launched with $80 million in funding and three former OpenAI engineers to help companies build AI agents tailored around their specific business model and data.
Daylight landed $33 million in Series A funding to build out a new type of managed-detection-and-response security platform around agentic AI.
Teleskope landed $25 million in Series A funding for its AI security platform, which automatically detects misconfigured infrastructure.
Reflectiz scored $22 million in Series B funding to build out a security platform that helps companies understand how their web sites are exposed to threats.
Google plans to launch a handful of its TPU AI chips into space by 2027 in hopes of figuring out a way to take advantage of unlimited solar power, according to Semafor.
IBM announced plans to cut thousands of jobs this quarter, impacting what it called "a low single-digital percentage of our global workforce," which has more than 270,000 people.
Tom Krazit has covered the technology industry for over 20 years, focused on enterprise technology during the rise of cloud computing over the last ten years at Gigaom, Structure and Protocol.
Today on Product Saturday: GitHub's bid to become the center of agentic coding, Cursor and Cognition roll out new coding-specific AI models, and the quote of the week.
Today: AWS posts its best growth rate in years as it becomes clear the AI boom is lifting all boats, Microsoft suffers a big Azure outage, and the latest enterprise moves.
Today: how a gold rush and the inherent weirdness of GPU computing has caused reliability problems for AI services, OpenAI and Microsoft finalize their new partnership deal, and the latest funding rounds in enterprise tech.
OpenAI and Anthropic both acknowledge they have a lot of work to do to improve the reliability of their services if they want to serve enterprise customers. But app developers also need to design their AI services with reliability in mind, which is hard when everyone is moving so fast.