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OpenAI CEO Rejects Musk’s $97.4 Billion Offer: “We’re Not For Sale”

by THEFUTURE.TEAM
February 12, 2025

OpenAI, the company behind the groundbreaking ChatGPT, continues to reject a $97.4 billion offer from a consortium of investors led by Elon Musk. While OpenAI is not publicly traded, it operates under a complex structure that merges both non-profit and for-profit arms. Musk, one of the co-founders, has stated his intention to steer OpenAI back to its non-profit roots, prioritizing the development of AI to benefit humanity.

However, the timing of his bid raises questions, especially considering that Musk also owns xAI, a direct competitor to OpenAI. 

Speaking to Axios, Sam Altman, OpenAI’s CEO, described Musk as a competitor unable to outpace OpenAI in the market, thus resorting to a bid “with total disregard for the mission.”

Despite Musk’s offer, the decision over OpenAI’s future isn’t solely in Altman’s hands. Altman, who also sits on the non-profit’s board, has made it clear he does not hold any stock in the company. His vision for OpenAI’s future involves transitioning to a fully for-profit model to attract more funding for AI research.

However, OpenAI’s board will ultimately decide, and if Musk raises his offer, they may be swayed. The current bid of $97.4 billion is far below OpenAI’s valuation of $157 billion from its most recent funding round in October. Recent talks suggest OpenAI’s value has soared to $300 billion.

Musk’s attorney, Marc Toberoff, stated that the consortium is open to increasing the bid. He also asserted that, as a co-founder and tech leader, Musk is the best candidate to protect and grow OpenAI’s technology.

Musk has been building other AI ventures too, including a collaboration with Oracle, a Japanese investment firm, and an Emirati sovereign wealth fund to develop the Stargate Project—an ambitious $500 billion AI infrastructure initiative in the US.

The project, which was announced at the White House, has attracted attention as the “largest AI infrastructure project in history.” Despite this, Musk, who is a key advisor to former President Donald Trump, has claimed that the project does not have the financial backing it claims, though he has provided no details to back up the assertion.

With such high stakes, the unfolding drama over OpenAI’s future is far from over, and it’s clear that Musk’s bid is only the beginning of a complex and multifaceted competition in the AI space.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM
March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

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