OpenAI has fired its chief revenue officer Denise Dresser after just nine months on the job, apparently deciding that her tenure was long enough to establish a 'formative period' but not long enough to actually, you know, make the revenue goals. Stepping into the breach is Dali Rajic, formerly president and COO of Wiz, the cybersecurity firm that Google acquired for a cool $32 billion this year - the tech giant's largest-ever acquisition. Because nothing says 'we're serious about sales' like hiring someone from a company that got bought out.

The move is part of a broader executive shake-up that has seen the departures of COO Brad Lightcap and Fidji Simo, the CEO of AGI deployment and the company's number two exec. In their absence, co-founder and president Greg Brockman has taken on a larger management role, announcing Rajic's arrival in a blog post that praised Dresser's 'tireless' work while simultaneously replacing her. Brockman wrote that Rajic will 'turn what we've learned into repeatable execution' - which is corporate-speak for 'please, for the love of god, hit the revenue targets this time.'

OpenAI boasts over one billion weekly active users and two million businesses using its products. Yet, despite the astronomical growth and the powerful models, executives have hinted - both privately and publicly - that the company hasn't quite hit its revenue goals. Perhaps that's why they've filed confidentially with the SEC for a potential IPO, though the timing remains as murky as the company's revenue figures. In a move that might suggest a delay in the public offering, OpenAI purchased $7 billion worth of employee shares this week in a tender offer, letting staff cash in on some equity compensation.

Bloomberg News noted that an OpenAI blog post mentioned a need for 'relentless focus' on 'measurable business impact' - but those comments were mysteriously removed from the published version. We're sure it's nothing. Meanwhile, CEO Sam Altman has been steering the company toward enterprise deployment, cutting back on tech projects and experiments deemed distracting. Because when you're a frontier AI lab, the last thing you want is distractions like, say, innovation.