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Anthropic, Gamma, and Clay share what happens when enterprises actually deploy AI at TechCrunch Disrupt 2026
An AI demo can look brilliant in five minutes. Then customers start using the product. They push it into workflows you didn’t anticipate. They expect it to work reliably. And they quickly find out whether it solves a big enough problem to become part of how they work — or becomes another AI experiment they tried and abandoned. AtTechCrunch Disrupt 2026, leaders from Anthropic, Gamma, and Clay will come together on theAI Stage for “What Anthropic Sees When Enterprises Actually Deploy Claude.”The conversation will bring two sides of AI deployment: the patterns Anthropic sees across enterprise implementations and the firsthand experience of founders building AI products people actually use. Secure your pass to Disrupt and save 50% on a second pass.Hear what AI leaders and founders are learning when their products meet real customers. Insightful sessions like this are meant to be experienced with a colleague, partner, or peer. Most conversations about enterprise AI focus on what companies could do with it.AnthropicHead of Applied AICat de Jongstarts somewhere more interesting: what happens after deployment. De Jong works directly with enterprises putting Claude into critical workflows. At Disrupt, she’ll explore where deployments succeed, where they stall, and what separates organizations extracting real value from those still running pilots 18 months later. If you’re selling AI into the enterprise, those patterns matter. De Jong’s experience offers a firsthand look at what changes when AI moves from experimentation into critical workflows and why some organizations get to production while others don’t. Want to know what separates AI pilots from deployments that make it into production?Register for Disrupt and get a second pass for 50% off. Anthropic can see patterns across enterprise deployments.GammaCo-Founder and CEOGrant Leebrings another perspective to the conversation: what it looks like from inside a company building an AI product and getting people to actually use it. Gamma has grown its AI-powered platform from an alternative to traditional presentation software into a broader visual communication tool. TechCrunch reported in March that the companywas approaching 100 million usersas it expanded its AI tools into marketing assets and other forms of visual content. That kind of adoption gives Lee a useful vantage point on the questions at the center of this session: What makes an AI product useful enough for customers to keep coming back? What changes once people start using it in ways you didn’t anticipate? And how do you turn powerful AI capabilities into a product that solves a problem people actually have? Building an AI product is one thing. Getting people to make it part of how they work is another.Secure your pass to Disruptand hear what Gamma has learned along the way. ClayCo-Founder and CEOKareem Aminbrings the perspective of a founder building AI into the way companies find and reach customers. Clay provides infrastructure to pull in data, run agentic workflows, and launch GTM plays. In January, TechCrunch reported that Clay was one of the launch apps integrated into Claude when Anthropic introduced interactive workplace tools inside the Claude interface, so his perspective is particularly relevant to the conversation. That puts Amin close to the questions this session will explore: where AI is genuinely useful, how it fits into existing workflows, and what happens once customers start depending on it. Together, de Jong, Lee, and Amin bring different views of that transition. Anthropic can identify patterns across enterprise deployments, while Gamma and Clay can pressure-test those patterns against what they’re seeing as customers put AI products to work. Want to learn what AI adoption looks like from both sides?Explore your Disrupt ticket options and save 50% on a second pass of the same typeto hear crucial AI perspectives from Anthropic, Gamma, and Clay on the AI Stage. An impressive demo can show what AI makes possible. The harder test comes when customers start depending on it. At Disrupt, Anthropic brings a view across enterprise deployments, while Gamma and Clay bring the founder perspective on building AI products people actually use. Join them atDisrupt, October 13–15 at San Francisco’s Moscone West, where 10,000+ founders, investors, operators, and tech leaders gather for200+ sessionsacross six industry stages, roundtables, and breakouts featuring250+ speakers, plus300+ exhibiting startups, matchmaking, and networking. Register for your pass and get a second pass for 50% off.Hear what Anthropic, Gamma, and Clay are learning about turning AI capabilities into products people actually use.
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Meta launches enterprise AI platform, hires MongoDB CEO to lead new initiative
MetaannouncedMonday that it’s launching “Meta Enterprise Platform,” a new initiative aimed at expanding the company’s AI offerings to businesses and corporate customers. The social media giant hired Chirantan “CJ” Desai, the CEO of database software giant MongoDB, to lead the new initiative. The launch of the new business builds on the momentum of Muse, Meta’spersonal AI assistantlaunched earlier this month that can perform tasks for users such as sending emails and booking travel. Meta says it will focus on bringing its full technology stack, including Muse, Meta Business Agent, Muse API, Muse Code, and more to businesses and developers. “Over the coming years, AI will fundamentally redefine how organizations of all sizes innovate, grow, serve customers, and run business operations,” Desai said in a statement. “Meta has a unique role to play because it is bringing together advanced models and leading agents with a proven track record of helping millions of advertisers and hundreds of millions of businesses scale. Meta Enterprise Platform will focus on turning its AI stack into products and services that companies can deploy for their own businesses.” The move could help Meta see a return on all the money it’s pouring into AI. MongoDB’s shares dropped by more than 17% on the news of its CEO’s sudden departure. The database makersaidit appointed Dev Ittycheria as interim chief executive, who previously served in the role, while the board searches for Desai’s permanent replacement.
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OpenAI still doesn’t seem to have a handle on all of its rogue AI activity
On Friday, OpenAI publisheda new site devoted to “misalignment reports”and the sheer breadth of the reports is alarming, as they cover many types of rogue behavior over a long period of time. So far, the site hosts nine reported incidents, most of which took place during reinforcement-learning (or RL) training. It’s a lot of information in one place — clearly, the company has been very busy getting a handle on everything — but the overall takeaway is hard to avoid: The rogue agent incidents we’ve seen so far are likely just a small sliver of what’s happened so far. “We are trying to balance our desire for transparency with gaining a clear understanding from petabytes of agent activity logs, and working with impacted organizations,” Sam Altman said ina post announcing the new site. “We are prioritizing as best as we can based on severity, and adding resources.” Some of the cases involve serious incidents, including a previously undisclosed sandbox escape that took placeon September 20th, in which an internal research model was able to communicate with an external chatbot through a DNS query. According to the report, the monitoring system flagged the behavior within 15 minutes and the run was discontinued in less than three hours. Another incident, discovered in May, saw a “highly persistent internal model” try to cheat on a math problem by accessing another team’s work. To accomplish this, the model smuggled a private GitHub token that would allow it to see work from other teams — even after being explicitly instructed twice to perform work entirely locally. Perhaps the most alarming discovery is the possibility of self-replicating prompt injection attacks, a way that misaligned behavior might propagate even after the rogue model itself has been neutralized. In the AI context, a prompt injection attack is a way of smuggling in new instructions that weren’t given by the original user. Inthe example given by OpenAI, an agent asked to read and reply to an email; when the email is opened, it includes instructions for any automated agent reading the message to reply in Spanish, and paste the entire email into its reply. The email was able to successfully induce the agent to reply in Spanish — and by pasting the email in the reply, those same instructions were passed along to whichever agent receives the email. The result is a self-propagating attack, which OpenAI researchers compared to a malware “worm” that replicates itself across computer systems. Researchers discovered the behavior under controlled circumstances using an underpowered model, and as far as we know, this has never happened in the wild. Still, the implications are alarming enough that OpenAI decided it merited disclosure. “We are sharing this due to the novel nature of the prompt injection, not because of any incident,” researchers wrote in the report. Other recent discloses have found modelsposting user-submitted pictures to third-party hosting sites, as well as an apparent attack on the databases of Australia’s national health service. Still, it’s likely the new disclosures are just a small portion of the incidents that have taken place so far (we’ve reached out to OpenAI and asked). Axios is reporting major labs have seenas many as 10,000 incidentsin which models went beyond evaluator instructions. OpenAI CEO Sam Altman has implied as much, saying in aposton X on Friday that the company is still sifting through “petabytes of agent activity logs, and working with impacted organizations,” and disclosing incidents “based on severity.” If there’s any consolation in that to be found, it isthat Altman saysthat the Hugging Face incident is still the most severe one OpenAI has found has found. The upshot is, the recent string of rogue agent incidents may be a persistent feature of contemporary frontier research.
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Bengaluru to Power Mythic AI’s Ambitions to Beat NVIDIA With Analogue Computing
Mythic's Vanguard claims to offer up to 12x less CAPEX, 25x lower power, and 50–675x higher throughput than NVIDIA GPU racks, among other wild numbers.
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MongoDB CEO Joins Meta to Lead Enterprise AI Platform
Meta announced Desai’s move alongside the launch of its Enterprise Platform.
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Nvidia Open Agent Safety Platform Launched for In-Silicon AI Agent Security With OpenShell and Sentry
Nvidia has launched the Open Agent Safety Platform as a new open stack solution for AI agent security and safety, the US-based tech giant has announced. The announcement comes after multiple reports of OpenAI and Anthropic AI agents breaking out of their isolated, sandboxed environments and orchestrating attacks against other companies. Most notably, an internal OpenAI model bypassed the security of another AI firm to hack into its website by accessing the public internet, even when it was not asked to do so. Nvidia also advocates for increasing the pace of AI safety research and engineering by frontier labs.
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Nvidia Open Agent Safety Platform Launched for In-Silicon AI Agent Security With OpenShell and Sentry
Nvidia has launched the Open Agent Safety Platform as a new open stack solution for AI agent security and safety, the US-based tech giant has announced. The announcement comes after multiple reports of OpenAI and Anthropic AI agents breaking out of their isolated, sandboxed environments and orchestrating attacks against other companies. Most notably, an internal OpenAI model bypassed the security of another AI firm to hack into its website by accessing the public internet, even when it was not asked to do so. Nvidia also advocates for increasing the pace of AI safety research and engineering by frontier labs.
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India’s GCCs May Have Cut Up To 30,000 Jobs This Year as AI Reshapes Workforce: Report
India’s GCC ecosystem currently employs around 2.4–2.5 million people across more than 2,100 centres.
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After ISRO’s PSLV Failure, TakeMe2Space Looks to SpaceX for Reliable Launch
TakeMe2Space is moving towards networked satellites, commercial launches, SpaceX deals, and student satellite labs.
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NVIDIA Creates New Tool to Stop AI Agents From Going Rogue
NVIDIA’s OpenShell creates a security boundary around agents running on Vera CPUs. It tracks what agents do and enforces rules governing their access to data, tools, and APIs.
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Infosys Plans to Move Up To 33% Workforce for Specialist AI Roles: Report
Infosys has been expanding its AI capabilities and developing specialised roles within its workforce, including AI “builders” and “masters”.
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India’s Seed Funding Falls 37% to $698 Mn as Investors Favour Proven Bets: Tracxn Report
The tech startup ecosystem recorded 18 funding rounds of $100 million or more during the period.
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