Battlelines are being drawn between the major AI labs and the popular applications that rely on them. This week, both Anthropic and OpenAI took shots at two leading AI apps: Windsurf, one of the most popular vibe coding tools, and Granola, a buzzy AI app for taking meeting notes. With less than five days of notice, Anthropic decided to cut off nearly all of its first-party capacity to all Claude 3.x models, noting that "we wanted to pay them for the full capacity." An additional said: "We are concerned that Anthropic’s conduct will harm many in the industry, not just Windsurf." Here, Mohan’s company is collateral damage in Anthropic’s rivalry with OpenAI, which has reportedly been in talks to acquire Windsurf for about $3 billion. The deal hasn’t been confirmed, but even the spectre of it happening was enough for Anthropic to cut off one of the most popular apps that it powers. After a spokesperson that Anthropic was "prioritizing capacity for sustainable partnerships," co-founder put it more bluntly. "We really are just trying to enable our customers who are going to sustainably be working with us in the future," Kaplan . "I think it would be odd for us to be selling Claude to OpenAI."

Meanwhile, OpenAI sent its own warning shot this week to the budding AI app ecosystem. It announced for ChatGPT — initially only for enterprise accounts — that transcibes calls and generates meeting notes. This is the core use case of Granola, one of my favorite AI tools that in additional funding and released a mobile app. Given how quickly Granola has evolved than summarize meetings, I suspect that the company isn’t at risk of extinction. Still, it will be harder to grow when hundreds of millions of ChatGPT users eventually have access to its main functionality. It’s unclear how the tension between the product ambitions of OpenAI and Anthropic and the needs of their API customers will settle out. When I interviewed Anthropic’s chief product officer, , , the company had just announced its own Claude coding competitor to Windsurf and Cursor, which coincidentally this week. I asked Krieger the obvious question: how does Anthropic think about competing with its API customers? He didn’t really have an answer. "I think this is a really delicate question for all of the labs and one that I’m trying to approach really thoughtfully," Krieger told me at the time. "Hopefully, we’ll all be able to navigate the occasionally closer adjacencies." AI investor well this week: "At some point model providers are going to need to decide if they want to be stable platforms or compete for every vertical." Ultimately, this week served as a wake-up call for the many startups building businesses on the backs of AI models; if you are successful enough, you run the risk of being copied by your model provider. A lot of companies are thinking through this risk right now, especially as OpenAI to help its API customers "translate abstract ideas into production applications." "You have to wonder if the recent moves by the big AI labs to more directly compete with the app layer will be one giant tailwind for incumbents like Google, Amazon, MSFT, etc." , a Granola board member, . “If developers can’t trust the labs, maybe it’s better to trust the big guys like they did for cloud?”

This week, I heard two CEOs contradict the that AI will destroy jobs en masse, at least when it comes to engineering roles. The first was , whom I watched speak at Bloomberg’s tech conference in San Francisco. He downplayed doomerism fear about job loss, correctly pointing out that “we’ve made predictions like that for the last 20 years about technology and automation, and it hasn’t quite played out that way.” He went so far as to say, “I expect we will grow from our current engineering base into next year,” because AI “allows us to do more.” The next day, I walked down the street to the Moscone Center to see Snowflake CEO , who had just spoken to a room of 4,000 developers with AI pioneer . I asked Ramaswamy if AI had changed his hiring plans, and he said he agreed with a ranking of hiring desirability for engineers that Ng had just described onstage, with the top being experienced engineers who leverage AI tools, followed by early-career engineers who are all-in on AI. He noted that new graduates who avoid AI tools are at the bottom of the desirability ranking and may struggle to find jobs. If anything, it’s the middle of the workforce — those who are in the middle of their careers and hesitant to adopt AI tools — that is the most in danger of near-term displacement, Ramaswamy argued. “Companies tend to accrete middle management, so there’s very much a push to get more people who are . How do we get them as leveraged as possible? Snowflake has historically been a little top-heavy on the engineering side, so we are balancing that out.” “Oh, man, the girls are fighting, aren’t they?” - Rep. what was the best day on Twitter in years. “Maybe there’s a world where you have one AI in the sky. Maybe you actually have a bunch of domain-specific agents that require a bunch of specific work to make it happen. I think the evidence has really been shifting towards this menagerie of different models.” - OpenAI’s the AI Engineer’s World Fair. “Give it a year. We’ll be doing a billion queries a week if we can sustain this growth rate.” - Perplexity CEO onstage . “We were accidentally cash flow positive in Q1, which was cool.” - Substack CEO The Information’s creator economy summit. If you haven’t already, , which includes and all of our reporting. As always, I welcome your feedback, especially if you’ll be attending WWDC next week as well, or if you have a story idea to share. You can respond here or . Thanks for subscribing.