Today on the AI Daily Brief, the coming AI rules battle, before that in the headlines,

Open AI plans to double its workforce with a big emphasis on the enterprise.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

All right, friends, quick announcements before we dive in.

First of all, thank you to today's sponsors, KPMG, Blitzy, AIUC, and Super Intelligent.

To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. If you are interested in sponsoring the show, send us a note at sponsors at AIdailybrief.a. Now, one other announcement? We are officially live with the first round of voting at Agent Madness.A.I. The projects that you guys shared were so cool. At some point this week, we will do a run-through of some of the projects. I'll show a little bit more about the bracket and how it was put together, which, spoiler alert, I let Claude and chat GPT debate so that it was not my call. For now, though, go check it out at agentmadness.AI. Like I said, voting is now live. We kick off today with OpenAI bucking the AI layoff trend with a massive hiring plan.

The Financial Times reports that OpenAI plans to double their headcount this year.

That would bring headcount to around 8,000, requiring the equivalent of a dozen hires per day.

The new employees will be added to product development, engineering, research, and sales teams, and Open AI also plans to recruit specialists to focus on what they call technical ambassadorship, assisting enterprises to make

better use of their tools. This is a fairly significant shift from where Sam Altman had

positioned the company coming into the year. In a live stream town hall event in January, he said,

we are planning to dramatically slow down how quickly we grow because we think we'll be able to do so much more with fewer people. Since then, anthropic surging growth has challenged OpenAI's leadership and CEO of applications Fiji Simo has delivered a quote-unquote wake-up call to the company on enterprise sales. A little over a week ago, she told staff that, quote, we are very much acting as if it's a code red. The net result is an urgent need to scale up in order to capture the enterprise market. An unnamed executive from OpenAI told the FT that the success of AI coding tools had, quote, opened up entirely new lanes of things we can do. They added, it does change how you think about everything from your products to how you serve the market. All of a sudden, the company kind of rotated on its axis. Jason Haugh writes, I run eight AI agents every day, and I still think

adoption is the hardest problem in this space. OpenAI apparently agrees. They're doubling their

workforce in one of the roles they're specifically hiring for is helping businesses actually

implement their tools. An $840 billion company that still needs dedicated people to get customers

to use the product says a lot about where we really are. Adam GPT from Up and AI responded,

it feels like we are top of the third inning. The models aren't the problem. They're smart enough now.

Now it's about applying them at scale. AI enabling a process or workflow like we've been doing

is one thing. But reimagining and repaving that

process or workflow as AI native is where transformational change will begin to occur at scale.

It goes slow until it goes really fast. I think that'll be the story of 2026. To which Mark Cuban

responded, if by repaving you mean reinventing yes. One of the challenges is that most corporate

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