Slack CEO Denise Dresser is leaving the company and joining OpenAI as the company’s chief revenue officer, multiple sources tell WIRED. Marc Benioff, the chief executive of Salesforce, which owns Slack, shared news of Dresser’s departure in a message to staff on Monday evening.

At OpenAI, Dresser will manage the company’s enterprise unit, which has been growing rapidly this year. She will report to chief operating officer Brad Lightcap. She starts next week.

“We’re on a path to put AI tools into the hands of millions of workers, across every industry,” said OpenAI CEO of Applications Fidji Simo in a statement to WIRED. “Denise has led that kind of shift before, and her experience will help us make AI useful, reliable, and accessible for businesses everywhere.”

Dresser has been at Salesforce for 14 years, according to Benioff’s message. Prior to becoming CEO, she held a number of executive roles in Salesforce’s enterprise sales unit. She was appointed CEO in 2023, after the previous CEO, Lidiane Jones, departed for the chief executive role at Bumble. (Jones served as Slack’s CEO for about a year.)

The company that eventually became Slack was founded in 2009. By 2014 it had become a fast-growing application for workplace chat and collaboration tools. In 2021, the company was acquired by Salesforce for nearly $28 billion. Much of the founding staff of Slack, including cofounders Stewart Butterfield and Cal Henderson, left within a few years of the acquisition. Over time, some of Slack’s operations were absorbed into the larger structure of Salesforce, and there were reports of culture clashes between the employees of the once-small startup and the enterprise behemoth.

Rob Seaman, Slack’s current chief product officer, will become interim CEO of Slack, according to two sources with direct knowledge of the executive changes.

Representatives for Slack hadn’t responded to WIRED’s requests for comment at the time of publication.

In Dresser’s tenure as Slack’s CEO, she oversaw the rollout of several large scale AI features, including AI-generated meeting summaries and an integration with Salesforce’s AI agents. Earlier this year, when Elon Musk took on a prominent role in the US government, Dresser occasionally took to X to show support, saying she agreed that federal employees should be required to send bullet-pointed emails about what they’ve accomplished, and sending a “thumbs up” emoji to a post about President Donald Trump signing an executive order mandating federal agencies to work with Musk’s DOGE.

Paresh Dave and Maxwell Zeff contributed to this report.

Update: 12/9/2025, 2 PM EDT: WIRED has corrected how long Dresser was employed by Slack and Salesforce.

OpenAI, Anthropic, and Block have cofounded a new open source organization—the Agentic AI Foundation—to promote standards for artificial intelligence agents.

The three companies are also transferring ownership of some widely used agentic technologies over to the foundation. This includes Anthropic’s Model Context Protocol (MCP), which allows agents to connect and interact; OpenAI’s Agents.md, which lets programs and websites specify rules for coding agents; and Goose, a framework for building agents developed by Block. These technologies were already free to use, but through the new foundation it will be possible for others to contribute to their development.

“MCP is used by many companies, but there are others [who don’t use it],” says Nick Cooper, who leads work on the protocol at OpenAI. Cooper says that making MCP an open standard should encourage developers and companies to embrace it and build systems that integrate agentic AI. “That open interoperability—that open standard—really means that companies can talk across providers, and across agentic systems.”

The Agentic AI Foundation is being created under the Linux Foundation, which oversees development of the widely used open source Linux operating system as well as other projects. The foundation provides legal and technological support for the creation of open source foundations. Other companies who have signed on to the AAIF, beyond the three founding members, include Google, Microsoft, AWS, Bloomberg, and Cloudflare.

The new foundation reflects a nascent shift from chat-based AI systems to greater use of programs that take actions on behalf of users. This kind of agentic AI promises a potentially lucrative new paradigm in which AI agents use the web and negotiate with one another to power all sorts of applications. Consumers may, for example, use AI assistants to buy and book things, while businesses use AI agents to manage transactions and customer interactions.

Srinivas Narayanan, chief technology officer of B2B applications at OpenAI, envisions a time when large numbers of AI agents routinely communicate with one another in the course of business. The AI industry working across the same open standards should help ensure that those interactions happen seamlessly. “Open source is going to play a very big role in how AI is shaped and adopted in the real world,” Narayanan says.

The question of openness seems crucial to AI right now. US companies mostly make money by offering access to powerful closed models through application programming interfaces, or APIs. Meta previously released the weights for its best model, Llama, so that anyone could download and run it, although the company has recently signaled a shift to a more closed approach. A number of Chinese AI companies, including DeepSeek, Alibaba, Moonshot AI, and Z.ai, provide strong open source models that have become popular with developers, startups, and AI researchers. Some worry that this picture could give Chinese firms a big strategic advantage over time.

There’s no way to recharge the ring. Migicovsky says he didn’t want yet another gadget to charge every day, so instead, the Pebble Index has non-rechargeable silver oxide hearing aid batteries designed to last 2 years with average use. Once the device’s battery is nearly dead, users will receive a notification in the app, and the idea is you’ll buy a new Pebble Index—an idea that’s easier to get behind knowing the ring costs just $75, though the price will jump to $99 after the first batch. (You’ll also be able to send your old Index to the company for recycling.)

When your audio is sent to your phone, an open source speech-to-text AI model processes it locally to convert your voice notes to text. Then, an on-device large language model will categorize the audio, deciding whether it’s a reminder, a timer, or a general note. A feed shows all your memory logs, and you scroll through it to find and listen to each clip. None of this data is ever sent to the cloud; it all stays on your phone. “These are your innermost thoughts,” Migicovsky says. “You don’t want to send them anywhere.”

By default, all of your musings with the ring are handled by the Pebble app. So if you had it set a reminder, you’ll get one from the Pebble app. However, you can customize the destination if you prefer to use your own service. If you use the Notion app for notes and tasks, for example, you can set it up so that your reminders and thoughts will be sent there.

Broad Strokes

The open source nature of the Pebble app means there’s no limit to customization. You press and hold the button to log a note, but you can have a single press trigger an action. Migicovsky says he set his to play or pause music, and a double-press switches tracks. But you can set it to take a photo remotely or activate a smart home routine. There will be an actions category in the Pebble app store where folks can publish their custom actions.