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Loading the player… Elon Musk spent the better part of three dayson the witness stand this weekin his lawsuit against OpenAI, and it’s already getting messy. Emails, texts, andhis own tweetsare surfacing in court, and there are plenty more witnesses to come. Musk’s argument against OpenAI? By converting the company to a for-profit model, Sam Altman betrayed the “nonprofit for the benefit of humanity” mission Musk signed up to fund. As Musk keeps reminding the courtroom: “You can’t steal a charity.” Watch as this episode of TechCrunch’sEquitypodcast discusses what’s actually at stake in the courtroom and what to watch for as Altman and others take the stand, plus deals, defense tech, and what Big Tech’s earnings week revealed about the limits of the AI spending era. Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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Elon Musk spent the better part of three dayson the witness stand this weekin his lawsuit against OpenAI, and it’s already getting messy. Emails, texts, andhis own tweetsare surfacing in court, and there are plenty more witnesses to come. Musk’s argument against OpenAI? By converting the company to a for-profit model, Sam Altman betrayed the “nonprofit for the benefit of humanity” mission Musk signed up to fund. As Musk keeps reminding the courtroom: “You can’t steal a charity.” On this episode of TechCrunch’sEquitypodcast, Kirsten Korosec and Sean O’Kane break down what’s actually at stake in the courtroom and what to watch for as Altman and others take the stand, plus deals, defense tech, and what Big Tech’s earnings week revealed about the limits of the AI spending era. Listen to the full episode to hear about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.
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After landing agreements withGoogle,SpaceX, andOpenAI, the U.S. Defense Departmentsaidon Friday that it has signed deals with Nvidia, Microsoft, Amazon Web Services, and Reflection AI that allow it to deploy their AI tech and models on its classified networks for “lawful operational use.” “These agreements accelerate the transformation toward establishing the United States military as an AI-first fighting force and will strengthen our warfighters’ ability to maintain decision superiority across all domains of warfare,” the statement reads. The deals come as the U.S. Department of Defense has accelerated its diversification of AI vendors in the wake of its controversialdispute with Anthropicover usage terms of its AI models. The Pentagon wanted unrestricted use of Anthropic’s AI tools, but the AI lab insisted on guardrails to prevent Anthropic’s tech from being used for domestic mass surveillance and autonomous weapons. The two are fighting it out in court at the moment, though Anthropic in Marchwon an injunctionagainst the Pentagon’s move to brand the company a “supply-chain risk.” “The Department will continue to build an architecture that prevents AI vendor lock-in and ensures long-term flexibility for the Joint Force,” the statement reads. “Access to a diverse suite of AI capabilities from across the resilient American technology stack will give warfighters the tools they need to act with confidence and safeguard the nation against any threat.” The DOD said the companies’ AI hardware and models will be deployed on Impact Level 6 (IL6) and Impact Level 7 (IL7) environments to “streamline data synthesis, elevate situational understanding, and augment warfighter decision-making.” IL6 and IL7 are high-level security classifications for data and information systems that are deemed critical to national security and require that these systems be protected physically, through strict access controls and audits. The Pentagon said more than 1.3 million DOD personnel have so far used its secure enterprise platform for generative AI,GenAI.mil, which provides access to large language models (LLMs) and other AI tools within government-approved cloud environments. It is designed to help primarily with non-classified tasks like research, document drafting, and data analysis.
Google has been showing commercials and sponsored search results under and over AI Overviews answers for months now. Moreover, various reports in the past have highlighted that the Mountain View-based tech giant is also testing ads in AI Mode. Now, the company could be preparing to bring commercials to its conversational AI assistant, the Gemini AI app. During Google's quarterly earnings conference call, a company executive reportedly told company shareholders and journalists that the tech giant is open to showing ads in the app. This comes months after the Sam Altman-led OpenAI announced it had started rolling out ranked ads in its AI-powered chatbot, ChatGPT.
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Research flags “death by POCs” even as service providers’ data shows a shift to outcome-led AI spend.
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India has emerged as the largest user base for ChatGPT Images 2.0 since itslaunch last week, OpenAI said on Thursday. However, third-party data reviewed by TechCrunch points to a more measured global response, with limited overall growth alongside sharp spikes in select emerging markets. ChatGPT Images 2.0, OpenAI’s latest image-generation upgrade, is designed to handle more complex prompts and produce detailed visuals, including accurate text across multiple languages. Early patterns from the company suggest users — especially in India, its largest market — are using it to create personal visuals such as avatars, stylized portraits, and fantasy-themed images. Data shared by Sensor Tower and Similarweb with TechCrunch suggests the rollout has led to a more mixed global response. ChatGPT’s app downloads rose 11% week-over-week following the launch, per Sensor Tower, but overall engagement gains were modest, with daily active users and sessions up only around 1%. Similarweb data also shows a limited increase in ChatGPT’s global web traffic, rising about 1.6% week-over-week during the same period. However, Sensor Tower data indicates some emerging markets — including Pakistan, Vietnam, and Indonesia — saw sharper spikes in ChatGPT’s app downloads, with increases of up to 79% week-over-week during the rollout period. India, meanwhile, remained a major source of activity during the rollout. Sensor Tower estimates show ChatGPT was downloaded about 5 million times in India during the launch week, compared with roughly 2 million in the U.S., though growth remained modest on a week-over-week basis. Similarweb data also points to a limited uptick in engagement, with daily active users in India rising about 3.4% week-over-week during the same period. In India, the early trends suggest ChatGPT Images 2.0 is largely being used as a form of self-expression. Rather than purely functional outputs, users are creating studio-style portraits from everyday photos, social media-ready images, and imaginative visuals that place themselves at the center, OpenAI said. The early patterns also highlight how AI image tools are being adopted differently across markets. While India’s large user base is driving overall scale, sharper spikes in countries like Pakistan and Indonesia point to stronger new-user demand in emerging markets following the launch. OpenAI’s Images 2.0 launch comes amid intensifying competition in AI image generation. Google’s earlier image-focused model, the originalNano Banana, alsosaw strong early tractionin India, indicating how the nation has become an important market for image generation. With the new ChatGPT Images release, OpenAI is pushing further with improvements such as better rendering of non-Latin text, including Hindi and Bengali, and new “thinking” capabilities that allow it to refine outputs and generate multiple variations from a single prompt. Beyond stylized portraits and avatars, OpenAI said early Images 2.0 users in India are experimenting with a wider range of formats — from fantasy newspaper covers to tarot-style visuals and fashion moodboards. Users are also using the AI tool to restore older photos and create cinematic portrait collages, the company said, suggesting early patterns of more personal use.
Big Tech is putting up AI leaderboards to encourage developers to spend as many tokens as possible. But in Indian offices, that comes with a peculiar unease.
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Apple’s iPhone sales and Services revenue were the stars of the show in the tech giant’s most recent quarter, but the Mac quietly outperformed — helped by growing demand for AI workloads. Wall Street investors hadexpectedto see Mac revenue in the low $8 billion range, but Applereported$8.4 billion in the second quarter ended March 28 — a notable beat for a non-core segment of the tech giant’s business. In addition, investors ahead of earnings believed that Mac sales would be essentiallyflat year-over-year. Instead, Mac sales were up 6% on an annual basis, the company told investors. The company’s total revenue was $111.2 billion, a 17% increase from the same period last year. Apple chalked up some of the Mac growth to recent product launches, including the well-received MacBook Neo. However, those fun, colorful computers were only on sale for a few weeks after the March 4 preorders began. Realistically, most units shipped mid- to late March, and some demand may have been pushed into April as certain models sold out. Apple CEO Tim Cook told analysts on the company’s Q2 earnings call on Thursday that customer demand for the Neo was “off the charts” and higher than Apple had expected. He also noted that Apple set a record in the quarter for customers new to the Mac, partly due to the Neo. Cook attributed the Mac sales growth to the use of the platform for running local AI models, like OpenClaw — something that took Apple somewhat by surprise as Mac mini and Mac Studio devicessold out in recent weeks. “Both of these are amazing platforms for AI and agentic tools, and the customer recognition of that is happening faster than what we had predicted, and so we saw higher than expected demand,” Cook said of these Mac sales. He also noted that the Mac mini was the top-selling desktop in China — a market that’sbeen in an OpenClaw frenzyas of late. Still, Mac revenue was flat on a quarter-over-quarter basis, suggesting this new demand has yet to scale. Cook said it may take Apple “several months” to reach supply-demand balance on the Mac mini and Studio models. “We’re not at the point where we’re saying this [constraint] is going to end anytime soon. And it’s not because of a problem, per se, other than we just under-called the demand,” Cook explained. Enterprise demand for the Mac was also at play. Apple pointed to a couple of larger companies, including Perplexity, that had turned to Mac as their preferred platform for building enterprise-grade AI assistants. He also said Apple was “supply constrained on the MacBook Neo,” and has even seen school systems, like Kansas City Public Schools, dropping Chromebooks for the Neo.
Anthropic is asking investors to submit allocations for the AI company’s latest fundraise within the next 48 hours, according to sources familiar with the matter. The round, which TechCrunch reported is expected to be roughly $50 billion, is estimated to close within two weeks, the sources said. As we previously reported, Anthropic is targeting a valuation ofabout $900 billion. However, given the soaring demand from investors seeking a stake in the company, the final valuation may well exceed that figure, our sources said. Anthropic declined to comment. Despite the intense demand, some early backers — particularly those who invested in 2024 or earlier — are skipping this round. Instead, these investors are waiting to potentially cash out during Anthropic’s anticipated IPO later this year. The company is raising what is likely to be its last private round before going public to fund its massive computing needs. Anthropic announced this month that its annual revenue run rate has surpassed $30 billion. But as we previously reported, the company’s run rate is currently closer to $40 billion, according to sources with knowledge of the company’s financials. Anthropic raised its last round in February at a$380 billionvaluation. At $900 billion, the company would not only more than double its valuation but would also surpass its chief rival, OpenAI, which closed a record-breaking $122 billion round at an $852 billion post-money valuation earlier this year. Jagmeet Singh contributed reporting.
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Surviving the long road to FDA approval isn’t just about building great technology — it’s about keeping your team motivated, finding the right investors, and learning how to operate when timelines are uncertain. This week on Build Mode, Isabelle Johannessen sits down with Robhy Bustami, co-founder and CEO of BioticsAI, a Startup Battlefield-winning company building an AI copilot for ultrasound to help detect fetal abnormalities. From a $100,000 prototype to FDA clearance, Bustami shares what it actually takes to build in one of the most regulated industries in the world. In this episode, they break down what it really looks like to build a medtech startup, including where you can’t “move fast and break things” and that every milestone takes time, coordination, and trust. This conversation covers: Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. Watch the full videos onYouTube.New episodes ofBuild Modedrop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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Financial services platform Stripe isintroducinga digital wallet specifically built for the AI era, where autonomous agents can perform tasks that include shopping, paying for reservations, buying tickets, and more. At itsannual conference this week,the company introducedLink, a wallet that allows you to connect various payment methods, track your spending, and view your recurring subscriptions. It also lets you integrate your AI agents so they can spend on your behalf, securely. Link, which is available on theweb,iOS,andAndroid, offers many things that you might expect from a digital wallet. You can connect payment methods, including cards, banks, crypto wallets, and buy now/pay later services, as well as store important details for online checkout like your billing and shipping information. The wallet offers other handy features, too, like the ability to see what you’re spending, and track your recurring subscriptions — even updating the payment method the services have on file, as needed. It also offers 90 days of protection on eligible purchases from select merchants. But what makes Link interesting is its ability to work with autonomous AI agents, likeOpenClawand others. The number of people experimenting with autonomous AI has been booming, to the point thatApple sold out of its base model Mac Minis, a popular platform for running these new, always-on AI agents. However, some people (rightly) take pause at the idea of giving an agent raw payment information, even if it’s providing convenience by automating various bookings. Link is meant to offer a solution, as users can connect their AI agents and give them permission to pay, without exposing their payment credentials. To work, users will first grant their agent access to the Link wallet via an OAuth (standard authentication) flow. The agent can then create a spend request, provide you with the context, and wait for your approval. Currently, it works with traditional payment methods, but Stripe says support for agentic tokens, stablecoins, and other types of payments is coming “soon.” On mobile and web, users will get a notification to approve the spend request, which requires they first review the transaction before the payment credential is shared with the AI agent. In the future, Stripe says it will expand its controls so users can set their own spending limits, or even choose when their agents can act without approval. The wallet has been built on Stripe’snew Issuing for agents, which lets users issue virtual cards for agents to use to make purchases autonomously, with real-time authorization, spending controls, and full transaction visibility. Instead of giving an agent access to your payment credentials, users can either give agents programmatic access to Link, which provides a one-time-use card, or they can use aShared Payment Token(SPT), which is backed by payment cards and banks. Developers and businesses building agents or AI personal assistants can also use Link’s wallet instead of building their own wallet from scratch, Stripe notes.
Loading the player… Surviving the long road to FDA approval isn’t just about building great technology — it’s about keeping your team motivated, finding the right investors, and learning how to operate when timelines are uncertain. This week on Build Mode, Isabelle Johannessen sits down with Robhy Bustami, co-founder and CEO of BioticsAI, a Startup Battlefield-winning company building an AI copilot for ultrasound to help detect fetal abnormalities. From a $100,000 prototype to FDA clearance, Bustami shares what it actually takes to build in one of the most regulated industries in the world. In this episode, they break down what it really looks like to build a medtech startup, including where you can’t “move fast and break things” and that every milestone takes time, coordination, and trust. This conversation covers: Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. Watch the full videos onYouTube. New episodes ofBuild Modedrop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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