OpenAI CEO Sam Altman said artificial general intelligence, or “AGI,” is losing its relevance as a term as rapid advances in the space make it harder to define the concept.
AGI refers to the concept of a form of artificial intelligence that can perform any intellectual task that a human can. For years, OpenAI has been working to research and develop AGI that is safe and benefits all humanity.
“I think it’s not a super useful term,” Altman told CNBC’s “Squawk Box” last week, when asked whether the company’s latest GPT-5 model moves the world any closer to achieving AGI. The AI entrepreneur has previously said he thinks AGI could be developed in the “reasonably close-ish future.”
The problem with AGI, Altman said, is that there are multiple definitions being used by different companies and individuals. One definition is an AI that can do “a significant amount of the work in the world,” according to Altman — however, that has its issues because the nature of work is constantly changing.
“I think the point of all of this is it doesn’t really matter and it’s just this continuing exponential of model capability that we’ll rely on for more and more things,” Altman said.
Altman isn’t alone in raising skepticism about “AGI” and how people use the term.
Difficult to define
Nick Patience, vice president and AI practice lead at The Futurum Group, told CNBC that though AGI is a “fantastic North Star for inspiration,” on the whole it’s not a helpful term.
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“It drives funding and captures the public imagination, but its vague, sci-fi definition often creates a fog of hype that obscures the real, tangible progress we’re making in more specialised AI,” he said via email.
OpenAI and other startups have raised billions of dollars and attained dizzyingly high valuations with the promise that they will eventually reach a form of AI powerful enough to be considered “AGI.” OpenAI was last valued by investors at $300 billion and it is said to be preparing a secondary share sale at a valuation of $500 billion.
Last week, the company released GPT-5, its latest large language model for all ChatGPT users. OpenAI said the new system is smarter, faster and “a lot more useful” — especially when it comes to writing, coding and providing assistance on health care queries.
But the launch led to criticisms from some online that the long-awaited model was an underwhelming upgrade, making only minor improvements on its predecessor.
“By all accounts it’s incremental, not revolutionary,” Wendy Hall, professor of computer science at the University of Southampton, told CNBC.
AI firms “should be forced to declare how they measure up to globally agreed metrics” when they launch new products, Hall added. “It’s the Wild West for snake oil salesmen at the moment.”
A distraction?
For his part, Altman has admitted OpenAI’s new model misses the mark of his own personal definition of AGI, as the system is not yet capable of continuously learning on its own.
While OpenAI still maintains artificial general intelligence as its ultimate goal, Altman has said it’s better to talk about levels of progress toward this state of general intelligence rather than asking if something is AGI or not.
“We try now to use these different levels … rather than the binary of, ‘is it AGI or is it not?’ I think that became too coarse as we get closer,” the OpenAI CEO said during a talk at the FinRegLab AI Symposium in November 2024.
Altman still expects AI to achieve some key breakthroughs in specific fields — such as new math theorems and scientific discoveries — in the next two years or so.
“There’s so much exciting real-world stuff happening, I feel AGI is a bit of a distraction, promoted by those that need to keep raising astonishing amounts of funding,” Futurum’s Patience told CNBC.
“It’s more useful to talk about specific capabilities than this nebulous concept of ‘general’ intelligence.”
Cisco CEO Chuck Robbins speaks at the Business Roundtable CEO Workforce Forum in Washington on June 17, 2025.
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CIsco reported results on Wednesday that narrowly exceeded analysts’ expectations and issued quarterly guidance that was also better than expected. The stock slipped in extended trading.
Here’s how the company did in comparison with LSEG consensus:
Earnings per share: 99 cents adjusted vs. 98 cents expected
Revenue: $14.67 billion vs. $14.62 billion expected
Revenue increased 7.6% year over year in the quarter, which ended on July 26, according to a statement. Net income rose to $2.82 billion, or 71 cents per share, from $2.16 billion, or 54 cents per share, in the same quarter a year ago.
Management called for 97 cents to 99 cents in fiscal firsœt-quarter adjusted earnings per share on $14.65 billion to $14.85 billion in revenue. Analysts surveyed by LSEG were expecting 97 cents per share on $14.62 billion in revenue.
For the full 2026 fiscal year, Cisco forecast $4 to $4.06 in adjusted earnings per share and $59 billion to $60 billion in revenue. The LSEG consensus was for earnings of $4.03 a share and $59.53 billion in revenue.
“While we have some clarity on tariffs, we are still operating in a complex environment,” Mark Patterson, Cisco’s finance chief, said on a conference call with analysts.
In the fiscal fourth quarter, Cisco generated $7.63 billion in networking revenue, up 12%. Analysts polled by StreetAccount were looking for $7.34 billion.
Cisco’s security revenue for the quarter totaled $1.95 billion, up 9% and trailing the StreetAccount estimate of $2.11 billion.
During the quarter, Cisco said it would collaborate with a partnership to invest in artificial intelligence infrastructure, alongside BlackRock, Microsoft and other companies. It joined a Stargate data center initiative for the Middle East that involves OpenAI and SoftBank. And the company introduced switches and routers that can take on AI workloads.
AI infrastructure orders from web companies in the quarter reached $800 million, Cisco CEO Chuck Robbins said on the call. The total for the 2025 fiscal year was over $2 billion, more than double the company’s goal, he said.
Cisco’s AI infrastructure sales pipeline from enterprises is in the hundreds of billions of dollars, Robbins said.
At market close on Wednesday, Cisco shares are up 19% in 2025, while the S&P 500 has gained about 10%.
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In its second quarterly financial results as a public company, CoreWeave reported an adjusted loss of 27 cents per share, compared to a 21-cent loss per share expected by analysts polled by LSEG.
CoreWeave’s results came as the lock-up period following its initial public offering is set to expire Thursday evening and potentially add volatility to shares. The term refers to a set period of time following a market debut when insiders are restricted from selling shares.
“We remain constructive long term and are encouraged by today’s data points, but see near-term upside capped by the potential CORZ related dilution and uncertainty, and the pending lock-up expiration on Thursday,” wrote analysts at Stifel, referencing the recent acquisition of Core Scientific.
Shares of Core Scientific fell 7% Wednesday.
In the current quarter, the company projects $1.26 billion to $1.30 billion in revenue. Analysts polled by LSEG forecasted $1.25 billion. CoreWeave also lifted 2025 revenue guidance to between $5.15 billion and $5.35, up from a $4.9 billion to $5.1 billion forecast provided in May and above a $5.05 billion estimate.
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Some analysts were hoping for stronger guidance given the stock’s massive surge since going public in March. Others highlighted light capital expenditures guidance and a delay in some spending until the fourth quarter as a potential point of weakness.
“This delay in capex highlights the uncertainty around deployment time; as go-live timing is pushed, in-period revenue recognition will be smaller,” wrote analysts at Morgan Stanley.
The AI infrastructure provider said revenue more than tripled from a year ago to $1.21 billion as it continues to benefit from surging AI demand. That also surpassed a $1.08 billion forecast from Wall Street. Finance chief Nitin Agrawal also said during a call with analysts that demand outweighs supply.
The New Jersey-based company, whose customers include OpenAI, Microsoft and Nvidia, also said it has recently signed expansion deals with hyperscale customers.
CoreWeave acquired AI model monitoring startup Weights and Biases for $1.4 billion during the period and said it finished the quarter with a $30.1 billion revenue backlog.
Apple CEO Tim Cook (R) shakes hands with U.S. President Donald Trump during an event in the Oval Office of the White House on August 6, 2025 in Washington, DC.
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Top tech executives are at the forefront of a recent swathe of unprecedented deals with U.S. President Donald Trump.
In just the last few days, the White House confirmed that two U.S. chipmakers, Nvidia and Advanced Micro Devices, would be allowed to sell advanced chips to China in exchange for the U.S. government receiving a 15% cut of their revenues in the Asian country.
Apple CEO Tim Cook, meanwhile, recently announced plans to increase the firm’s U.S. investment commitment to $600 billion over the next four years. The move was widely seen as a bid to get the tech giant out of Trump’s crosshairs on tariffs — and appears to have worked for now.
Altogether, analysts say the deals show just how important it is for the world’s largest companies to find some tariff relief.
“The flurry of deal-making is an effort to secure lighter treatment from tariffs,” Paolo Pescatore, technology analyst at PP Foresight, told CNBC by email.
“In some shape or form, all of the big tech companies have been negatively impacted by tariffs. They can ill afford to fork out on millions of dollars in additional fees that will further dent profits as underlined by recent quarterly earnings,” Pescatore said.
While the devil will be in the detail of these agreements, Pescatore said that Apple leading the way with its accelerated U.S. investment will likely trigger “a domino effect” within the industry.
Apple, for its part, has long been regarded as one of the Big Tech firms most vulnerable to simmering trade tensions between the U.S. and China.
Earlier this month, Trump announced plans to impose a 100% tariff on imports of semiconductors and chips, albeit with an exemption for firms that are “building in the United States.”
Apple, which relies on hundreds of different chips for its devices and incurred $800 million in tariff costs in the June quarter, is among the firms exempt from the proposed tariffs.
A ‘hands-on’ approach
The Nvidia and AMD deal with the Trump administration has meanwhile sparked intense debate over the potential impact on the chip giants’ businesses and whether the U.S. government may seek out similar agreements with other firms.
White House spokesperson Karoline Leavitt said Tuesday that the legality and mechanics of the 15% export tax on Nvidia and AMD were “still being ironed out.” She also hinted deals of this kind could expand to other companies in future.
Ray Wang, founder and chairman of Constellation Research, described the Nvidia and AMD deal to pay 15% of China chip sales revenues to the U.S. government as “bizarre.”
Speaking on CNBC’s “Squawk Box” on Monday, Wang said what is “really weird” is there is still some uncertainty over whether these chips represent a national security issue.
“If the answer is no, fine OK. The government is taking a cut out of it,” Wang said. “Both Nvidia’s Jensen Huang and Lisa Su at AMD both decided that OK, we’ve got a way to get our chips into China and maybe there is something good coming out of it.”
Investor concerns
While investors initially welcomed the deal as broadly positive for both Nvidia and AMD, which once more secure access to the Chinese market, Wang said some in the industry will nevertheless be concerned.
“As an investor, you’re worried because then, is this an arbitrary decision by the government? Does every president get to play kingmaker in terms of these deals?” Wang said.
“So, I think that’s really what the concern is, and we still have additional tariffs and trade deals to come from the China negotiations,” he added.
Looking ahead, Dan Niles, founder and portfolio manager at Niles Investment Management, said the question for investors is whether the Trump administration’s “hands-on” approach is positive or negative for U.S. companies.
“I think for each company, it is very different. So, it certainly it is something I take into account. The bigger thing for me is do you have some stability of policy? Do you have a policy one week and then it flips the next?” Niles told CNBC’s “Closing Bell: Overtime” on Monday. “Right now, that is what concerns me a little bit more.”
— CNBC’s Arjun Kharpal and Kif Leswing contributed to this report.