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The $100 Billion Gamble: Microsoft, OpenAI, And The Race For AGI

Microsoft and OpenAI are chasing a colossal prize: artificial general intelligence (AGI) capable of generating $100 billion in profit. It’s a staggering figure that’s shaping their partnership and defining what success looks like for both companies. But while this business-driven metric sets a clear target, it’s a far cry from the philosophical vision of AGI—an AI that can outperform humans in most economically valuable tasks.

The Reality Check

Here’s the kicker: OpenAI is nowhere near hitting that financial goal. The company is burning through billions, with losses expected to continue until at least 2029. And the financial strain is only one piece of the puzzle.

OpenAI’s dependence on Microsoft, which has poured billions into the startup, has come at a cost. The exclusive deal requires OpenAI to rely heavily on Microsoft’s cloud infrastructure. While this partnership has fueled OpenAI’s rapid growth, it’s also created friction.

Friends Or Frenemies?

Sam Altman has described the partnership with Microsoft as “the best friendship in tech,” but cracks are showing. OpenAI has been renegotiating terms to gain more flexibility, including the ability to buy computing power from Oracle. These changes signal a growing desire to ease the pressure of being tied too closely to a single partner.

At the heart of this partnership is a fascinating clause: if OpenAI achieves AGI, Microsoft loses access to the technology. This safeguard is meant to prevent misuse of AGI, but it also raises the stakes. The closer OpenAI gets to AGI, the more complicated this “friendship” could become.

The Cost Of Ambition

OpenAI’s expenses are jaw-dropping. By the end of 2024, the company will have spent at least $5.4 billion on computing power alone, with annual costs expected to skyrocket to $37.5 billion by 2029. Despite this, the startup is betting big on its future, exploring partnerships with heavyweights like Apple, Nvidia, and MGX to diversify its support system.

What’s Next?

The $100 billion target isn’t just a financial goal—it’s a litmus test for whether OpenAI can achieve the kind of scale and impact that AGI promises. But AGI remains a distant dream, and until then, OpenAI will continue walking a tightrope: innovating at breakneck speed while managing the weight of its partnership with Microsoft.

For now, the tech world is watching closely, because this isn’t just a story about a company—it’s a story about the future of intelligence itself.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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