SoftBank’s Son says calling AI a bubble is ‘an insult’



At SoftBank Group’s annual shareholders’ meeting in Tokyo on Wednesday, the founder and chief executive was asked, as he is asked at almost every public appearance now, whether the artificial intelligence boom that has driven his fortune to record highs is a bubble waiting to deflate.

He treated the question itself as the problem. To talk of a bubble, Son said, is an insult to AI.

It was not the first time he had reached for elevated language. Son has previously called bubble talk “blasphemy” and dismissed the people raising it as “not smart enough, period.”

The man who has bet more of SoftBank’s balance sheet on a single thesis than almost any investor alive does not entertain the counterargument so much as wave it away.

At the Tokyo meeting, Son told shareholders he intended to keep working into his seventies, asking for another 10 or 15 years to pursue what he calls artificial superintelligence, the stage he believes arrives after artificial general intelligence and solves problems humanity never imagined it could.

He has put a number on the scale of the opportunity too. The AI revolution, he told CNBC in Paris earlier in June, is “more than 10x, probably 50x bigger” than the dot-com boom, and the beginning of a technological shift that could run for 50 to 100 years.

The boom comparison is the one Son would rather not invite, given his own history with it.

The last time SoftBank sat at the top of the Japanese market was February 2000, when the dot-com bubble was about to burst. Within a year, its shares had fallen roughly 90%.

This month, SoftBank briefly overtook Toyota as Japan’s most valuable listed company for the first time since that peak, before the carmaker reclaimed the spot three days later.

What sits behind the confidence is a position of unusual concentration. SoftBank’s cumulative bet on OpenAI has reached roughly $64.6bn, giving it an ownership interest of around 13%.

To fund the follow-on, the group secured a $40bn bridge loan and has borrowed against the stake at spreads that reflect the risk lenders attach to it.

S&P has lowered its outlook on SoftBank’s credit, citing the possibility that the OpenAI exposure could weigh on the group’s liquidity.

None of which appears to trouble Son, who has described the company’s posture as “total offence mode” and is recasting it as an AI-era industrial holding company.

The agenda on Wednesday reflected the shift. Shareholders were asked to amend the articles of incorporation to add AI, semiconductors, robotics, and data centres to the stated business purposes, a tidying of paperwork to match where the money has already gone.

Son’s next frontier, he told the room, lies beyond the chips and the models. He named humanoid and industrial robotics, what he calls physical AI, as the next trillion-dollar industry, and predicted that superintelligence would eventually add at least 10% to global GDP.

“Almost all human activities,” he said, “eventually will be some kind of collaboration with superintelligence and physical AI.”

The financial logic of that vision will be tested soon enough. A run of mega technology listings is due in the coming months, with OpenAI and Anthropic among the companies that have filed, and SoftBank’s standing rests heavily on whether those debuts validate the prices the market has already paid.

For now, the man steering the largest single AI wager in corporate Japan has settled on his answer to the bubble question, which is to refuse to dignify it.

Whether that is conviction or salesmanship is, in Son’s case, a distinction without much of a difference.

He has spent a quarter of a century insisting the future was arriving faster than anyone believed, and has been spectacularly right and spectacularly wrong in roughly equal measure.

The shareholders who gave him another decade on Wednesday were betting, as they always have, on which it is this time.



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Meta stripped NameTag facial recognition code from its AI app one day after WIRED exposed it on 50 million phones. Meta says no decision has been made.

Meta removed nearly all traces of an unreleased facial recognition system from its smart glasses companion app on Friday, one day after WIRED reported that the software had been quietly embedded in an app installed on more than 50 million phones. The feature, which Meta internally called NameTag, was designed to convert faces captured by the company’s Ray-Ban smart glasses into unique biometric signatures and compare them against a database stored on the user’s device. WIRED also found that faces the system failed to recognise were cropped, indexed, and stored locally for future processing.

Andy Stone, Meta’s vice president of communications, told WIRED on Monday that the feature is “purely exploratory,” adding that no final decision has been made on what to do with it. That characterisation sits uneasily with the evidence WIRED documented. The version of Meta AI published the day of WIRED’s Thursday report contained several code libraries explicitly named for face recognition, a process for running the NameTag recognition pipeline, and a “Person recognised” alert the app would have shown if someone were identified.

Friday’s release stripped all of it out, along with a folder where the app would have stored the cropped images and biometric signatures of unrecognised faces. Meta did not answer WIRED’s questions about why the code was removed or whether the changes were planned before the story was published. A few fragments remain in the latest version, including an internal debug menu label and a dormant link meant to open a recognised person’s profile, pointing to parts of the system that are no longer there.

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The gap between Meta’s public statements and the code WIRED found is the central tension. Before the Thursday report, Stone dismissed the findings by writing that the company could not answer questions about how the system would work because “the feature does not exist.” Andrew Bosworth, Meta’s chief technology officer, called the reporting “incredibly misleading” and “absolutely dishonest.” Yet the code was functional enough to include three AI models, one to detect faces, another to crop them, and a third to encode them as biometric data, all embedded in the companion app for a product already at the centre of a mounting privacy crisis.

Meta declined to answer ten questions WIRED posed before publishing, including whether it had already created the database of face profiles NameTag uses, how long the app retains photographs and biometric data of unrecognised people, and whether that data would ever be sent back to Meta’s servers. The company also did not respond to questions about whether it was building NameTag for blind or low-vision users, or to criticism from privacy advocates who warned the system could let stalkers and abusers identify strangers in public.

NameTag first surfaced in February, when The New York Times, citing internal Meta documents, reported that the company was developing face recognition for its smart glasses and considering a launch as early as this year. One internal memo reportedly described releasing the feature during a “dynamic political environment” when privacy and civil liberties advocates would be distracted by other concerns. WIRED subsequently found that much of NameTag’s machinery had been built into the Meta AI app as early as January, months before any public acknowledgement, adding another layer to the company’s pattern of shipping first and disclosing later when it comes to its smart glasses.

Kade Crockford, director of the technology for liberty programme at the American Civil Liberties Union of Massachusetts, said the removal does not undo the original decision to ship the code and pointed to it as evidence that consumer privacy needs stronger legal protection than Congress has been willing to provide. The Massachusetts House of Representatives last week unanimously passed a consumer privacy bill that, if enacted as written, would impose strong enforcement provisions including a private right of action allowing aggrieved users to sue. “State lawmakers need to do their job and step up to protect consumer privacy,” Crockford said.

Meta’s sneaky tactics in slipping the face-recognition code into its smart glasses show exactly why data privacy bills need the teeth of strong enforcement,” Crockford added. “Companies like Meta prioritise their bottom line, so lawmakers need to speak in the only language its C-suite understands.” Whether a code removal prompted by investigative reporting constitutes a victory or merely a tactical retreat depends on what Meta does next, and on whether the regulatory pressure building on both sides of the Atlantic produces enforceable consequences before the feature quietly returns under a different name.



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