What they said in Kyoto
On Sunday in Kyoto, at a side gathering tied to the Science and Technology in Society forum, Masayoshi Son appeared with Michael Kratsios and voiced a careful note you do not often hear from him. The 69-year-old Japanese billionaire, who has steered almost $65 billion of SoftBank capital into OpenAI, said the pace of AI progress has him worried about safety. He argued countries should cooperate to confront the bigger risk from advanced models, saying, "We don't have any more luxury of having human fight against human." He also warned that superintelligence placed in the wrong hands can become "super dangerous."
That caution tracks with growing unease after several troubling security lapses involving AI models in recent months.
The U.S.-led research coalition
Kratsios traveled to the Japanese city to unveil a 17-nation effort aimed at using AI to accelerate scientific research. Representatives from Japan, South Korea, the UK, Germany, Singapore and the United Arab Emirates stood with him to mark the announcement, and the White House's initial list of endorsing countries did not include China.
He sketched the scale of what they envision: "In automated cloud laboratories operating at industrial scale, robotic systems will conduct hundreds of parallel experiments, generating data that feeds back for real-time analysis and hypothesis refinement." He added that machines can scan and synthesize a vast body of publications, turning what would take multiple years into "tens of hours of work by armies of digital agents assisting human researchers."
When one of AI's biggest backers starts talking about safety, the investment climate is shifting. Market Briefs follows the AI trade free every weekday.
Where Son thinks AI is heading next
Son said AI services will keep improving at an exponential rate. The same technology behind today's chatbots is already helping systems surf the web and write code using growing volumes of general-purpose chips. He projected a next act starting next year, when those programs begin helping robots and other devices operate in the physical world.
He also repeated his long-term outlook: by 2040, AI and machines with learning abilities could produce at least one fifth of global economic output, which he quantified as $46 trillion. "This is just the beginning."
Why it matters for your portfolio
If AI truly moves from text and code to labs and factories at the pace Son and Kratsios describe, the ripple effects will not be confined to a few tech tickers. It could change who wins in everything from semiconductors to industrial automation to scientific tooling. The bigger takeaway for everyday investors isn't a hot tip, it is the time horizon: exponential improvements, rising compute needs, and tighter global coordination can shift which businesses compound value over years, not quarters.
Caution from the people funding the boom is worth more attention than most forecasts. Join Market Briefs free and track where the money moves.
