SoftBank plans record yen bond sale to fund its AI push
Money is pouring into the AI build-out from every direction today — SoftBank is tapping Japanese retail investors for a record bond to keep funding its OpenAI bet, while South Korea just rewrote its privacy law to let AI developers actually use the data they're collecting.
SoftBank plans a record one trillion yen retail bond to fund its AI bets. SoftBank Group said it will issue one trillion yen (roughly $6.6 billion) of seven-year retail bonds in Japan, the largest by any issuer in the country, with an indicative coupon of 4.3–4.9% and pricing expected on September 4. Proceeds will refinance 400 billion yen of retail bonds maturing in September and help close the funding gap for its AI strategy — the company has committed more than $60 billion to AI investments, including its stake in OpenAI, and faces a shortfall of around $20 billion. The move is a deliberate workaround of cautious banks: with limited institutional appetite for long-duration credit risk, SoftBank is going directly to everyday savers for liquidity. It's the clearest sign yet that funding the frontier is no longer a venture or sovereign-wealth affair alone — the retail crowd is now financing OpenAI's runway, and the seven-year horizon says SoftBank expects the payoff to be slow and steady rather than immediate. Alibaba, by contrast, raised $10 billion in Hong Kong's largest-ever secondary listing on the same day for chips and data centers, underscoring just how broad the capital race has become.
South Korea passes a law letting AI developers train on personal data. The National Assembly has unanimously passed amendments to the Personal Information Protection Act that, for the first time, allow AI developers to use already-collected personal data for model training without obtaining per-subject consent — as long as the Personal Information Protection Commission (PIPC) approves the use on a case-by-case basis. The bill sets three hurdles: developers must show anonymization or pseudonymization can't achieve their goal, establish strong security measures, and demonstrate a public-benefit purpose with low risk to individuals. It takes effect six months after cabinet approval. Korea's previous framework — requiring consent for each dataset, with only narrow two-year exemptions for voice-anti-fraud and autonomous-driving uses — had become a wall for the large models the government is now spending heavily to build. The oddity is how the country chose to solve it: instead of predefined exemptions like Japan's, it hands the regulator sole discretion over every application. That "trust the regulator" model settled a debate among privacy lawyers about who watches the watcher, but it also leaves developers unable to predict whether their use case passes until they ask.
South Korea is betting the PIPC gets every AI-data call right — do you think regulator-by-regulator approval will hold up as models scale, or will it become the bottleneck? Tell us in the comments.
