OpenAI launches new Codex tools for white-collar work

11:16 PM IST · June 2, 2026

OpenAI is getting serious about courting enterprise users. On Tuesday, the AI labreleased a new set of capabilities for Codex, meant to expand the agentic tool’s uses in the workplace. Together with the new tools, the company releasedan internal reporton how Codex is being used for knowledge work, finding its uses go far beyond software engineering. “Codex now has more than 5 million weekly active users, up more than 6x since the launch of the desktop app in February,” readsa blog post introducing the report. “While developers remain the largest user group, knowledge workers now represent about 20 percent of users and are growing more than three times as fast.” To further court those users, OpenAI released a set of six plug-ins aimed at specific jobs: data analytics, creative production, sales, product design, equity investing, and investment banking. Available fromwithin the Codex app, each of the new tools bundles integrations, instructions, and context to allow Codex to approximate a specific job. Like any AI tool, the plug-ins will grow more effective with user customization, but they’re meant to be effective tools out of the box. The new tools come after a similar push for agentic plugins from Anthropic, whichlaunched its Enterprise Agents programin February. (A more specific set of finance-oriented agentslaunched in May.) With its traditional consumer focus, OpenAI has been slower to court enterprise customers, only introducing plugin support for Codexin March. Together with the plug-ins, OpenAI introduced a new Sites feature, which allows Codex to output its work product as a hosted interactive website, instead of just a local file. As part of that system, OpenAI is partnering with Wix, Base44, Replit, Lovable, Figma, and Emergent — although the company plans to develop a larger partner ecosystem to support the service. A new Annotations feature will also allow users to designate a specific part of a document or file within Codex, allowing for more specific commands and context operations. The new enterprise features come just three weeks after OpenAI launched a new joint venture for enterprise clients, dubbedthe OpenAI Deployment Company. The venture includes more than $4 billion in funding from global investment firms, with the aim of integrating OpenAI tools more deeply into businesses around the world. “AI is becoming capable of doing increasingly meaningful work inside organizations,” OpenAI Chief Revenue Officer Denise Dresser said in a statement at launch. “The challenge now is helping companies integrate these systems into the infrastructure and workflows that power their businesses.”

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Billionaire Ambani wants AI in every call, app, and home

As India searches for a homegrown contender in the global artificial intelligence race, billionaire Mukesh Ambani is positioning Reliance Industries as a national champion, rolling out AI services for phone calls, mobile apps, and connected homes. At itsannual shareholder meetingon Friday, the Mumbai-based conglomerate announced Jio Call Agent, an AI assistant that can join phone calls to transcribe conversations, generate summaries, and perform tasks such as booking cabs, ordering food, and making reservations. The service, which can be activated by saying “Hey Jio,” is expected to launch later this year for Jio’s more than 500 million users. By embedding the service directly into its telecom network rather than offering it as a stand-alone app, Jio is betting AI assistance can become a native feature of phone calls. The approach could reduce consumers’ reliance on third-party call-assistant apps and give Reliance a powerful distribution advantage in an increasingly crowded AI market. Reliance also unveiled an AI-powered version of its MyJio app that can perform tasks on behalf of users, from activating eSIMs to selecting roaming plans, through natural-language requests. The company further introduced TeleFrame, a home display that uses AI agents to proactively surface information and recommendations, such as weather alerts, schedules, and household reminders. The product appears to echo a broader industry push toward ambient AI assistants for the home, an area being explored by companies such asAmazonandGoogle. The announcements mark the next phase of Reliance’s AI ambitions as India seeks to build domestic capabilities in a field largely dominated by U.S. and Chinese technology companies. The push follows thelaunch of Reliance Intelligencelast year, through which the conglomerate aims to develop AI infrastructure and services for consumers, businesses, and governments, including applications that support 22 Indian languages. “India should not be a mere consumer of AI created elsewhere. It must become a creator, adopter, and a global leader in AI,” Ambani, age 69, said. Reliance has been ramping up its AI ambitions through partnerships withGoogle,Meta, andNvidia. Earlier this year, the company announced plans toinvest $110 billion in AI infrastructureas it seeks to establish itself as a major player in India’s emerging AI ecosystem. At the shareholder meeting, Reliance also unveiled a suite of AI services for healthcare, education, agriculture, and small businesses. The products, branded JioHealthIQ, JioLearnIQ, JioKrishiIQ, and AI Vyapar, are designed to operate across multiple Indian languages and cater to local needs, the company said. The shareholder meeting also brought a major development for investorsawaiting Jio’s stock market debut. Ambani said Jio Platforms’ board had approved a draft prospectus for an initial public offering that would include a fresh issue of up to 270 million shares, according to a stock exchange filing. The announcements also raise questions about how Reliance will handle user data as it expands AI services across phone calls, mobile apps, and connected homes. While the company said the services would operate with user consent, it did not answer questions about whether data generated through the products could be used to train AI models or shared with technology partners. Reliance’s AI ambitions come as Indian companies remain heavily reliant on foreign AI models and cloud providers.Recent restrictions on accessto some of Anthropic’s latest models have underscored that dependency, showing how decisions made overseas can affectstartups and businessesbuilding AI products in India — the kind of supply-chain risk that’s pushing Indian conglomerates toward building their own stack rather than renting someone else’s. Last week, Reliance announced acollaboration with Meta to establish an AI data centerin the western state of Gujarat, building on Meta’s earlier investment in Jio Platforms and a joint venture launched last year to develop AI solutions for enterprise customers in India and overseas markets. Reliance is not alone in pursuing AI opportunities.Tata Consultancy Services,Infosys, and rivalAdani Grouphave also expanded their AI initiatives and partnerships with global players, including Anthropic, Google, and OpenAI, as India’s largest corporations race to secure a leading role in the country’s AI future. Nonetheless, for Reliance, the stakes are particularly high; it’s preparing Jio for a long-awaited stock market debut and needs new growth drivers, with the conglomerate’s shares down about 17% this year.

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The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care

Just as last week was ending, the US governmentforced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers havesince signed an open lettercalling the move dangerous, and Anthropic itself noted the same jailbreaks exist in other models. So is this a genuine security concern, or just the latest chapter in a messy relationship between Anthropic and the Trump administration? On this episode of TechCrunch’sEquitypodcast, hosts Anthony Ha, Sean O’Kane, and Rebecca Bellan unpack what the ban means for developers building on Anthropic’s platform and for anyone watching the IPO, why itmight accidentally be good for the company, and more of the week’s headlines. Listen to the full episode to hear more about: Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.

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Is the US government’s Anthropic ban accidentally helping the brand?

Loading the player… Just as last week was ending, the US governmentforced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5’s guardrails. Cybersecurity researchers havesince signed an open lettercalling the move dangerous, and Anthropic itself noted the same jailbreaks exist in other models. So is this a genuine security concern, or just the latest chapter in a messy relationship between Anthropic and the Trump administration? On this episode of TechCrunch’sEquitypodcast, hosts Anthony Ha, Sean O’Kane, and Rebecca Bellan unpack what the ban means for developers building on Anthropic’s platform and for anyone watching the IPO, why itmight accidentally be good for the company, and more of the week’s headlines. Subscribe to Equity onYouTube,Apple Podcasts,Overcast,Spotifyand all the casts. You also can follow Equity onXandThreads, at @EquityPod.

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Jio AI Call Agent Explained: What It Is, How It Works, Features and More

Reliance held the 49th edition of its annual general meeting (AGM) with shareholders on Friday. The Indian conglomerate unveiled various new artificial intelligence (AI) innovations that its telecom service provider (TSP) arm, Reliance Jio, plans to join in the coming months in the country. Among the many announcements, the company revealed its plan to integrate AI directly into its network. The company claims that this will allow the TSP to introduce a voice-based AI call agent for its subscribers. During the presentation, the company demonstrated the AI agent's capabilities, showing that it will be able to transcribe calls and generate call summaries without asking users to download a standalone app.

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