Japanet quadruples VC fund to $200M after early Anthropic and xAI bets deliver extraordinary returns


Summary: Japanet Holdings, the Japanese TV shopping company based in Nagasaki, has quadrupled its venture capital fund to $200 million after early investments through Pegasus Tech Ventures in Anthropic, xAI, SpaceX, and OpenAI generated extraordinary paper returns. Anthropic alone has appreciated from a $550 million valuation in 2021 to $380 billion in 2026. The expansion is part of a broader wave of Japanese capital flowing into AI, with SoftBank committing $41 billion to OpenAI, Japan’s government launching a $6.34 billion AI scheme, and Japanese AI infrastructure spending projected to hit $5.5 billion this year.

 

Japanet Holdings, the Japanese television shopping company best known for selling kitchen appliances and electronics to retirees in Nagasaki, has quadrupled its venture capital fund to $200 million after early investments in Anthropic, xAI, SpaceX, and OpenAI generated returns that made the original $50 million fund look like a rounding error. The expansion, announced on Monday, turns a five-year-old experiment in corporate venture capital into one of the more improbable success stories in AI investing: a family-run infomercial business that placed bets on frontier AI labs before most institutional investors understood what they were looking at.

The fund, launched in March 2021 with Pegasus Tech Ventures as general partner, was initially designed to connect global startups with Japanet’s operations in Nagasaki, particularly its $650 million Stadium City development. It was not designed to produce venture-scale returns on artificial intelligence companies. But the fund’s early positions in Anthropic and xAI, taken when both were valued at a fraction of their current worth, have appreciated on paper by orders of magnitude. Anthropic was valued at $550 million when it raised its Series A in May 2021. It closed a $30 billion raise in February at a $380 billion valuation and is reportedly fielding offers north of $800 billion. xAI, Elon Musk’s AI company, reached a $230 billion valuation in January before being acquired by SpaceX in February as part of a combined entity valued at $1.25 trillion.

A camera shop in Nagasaki

Japanet’s path to AI investing starts with a camera shop. Akira Takata, born in Nagasaki in 1948, took over his family’s camera store and in 1986 turned it into a mail-order business. He pioneered radio shopping on NBC Nagasaki Broadcasting, then moved to television, and built Japanet Takata into Japan’s leading home shopping network. The company sells everything from air conditioners to tablet computers, primarily to an older Japanese demographic, through infomercials that emphasise simplicity and value. Revenue reached 262 billion yen, roughly $1.7 billion, in fiscal 2023. Akira retired as chief executive in 2015. His son, Akito Takata, now runs Japanet Holdings and its 13 group companies with approximately 2,000 employees.

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Under Akito, Japanet diversified into sports and regional development. The company acquired V-Varen Nagasaki, a professional football club, in 2017 and established Nagasaki Velca, a basketball club, in 2020. In October 2024, it opened Nagasaki Stadium City, a 100 billion yen complex featuring a 20,000-seat stadium, a 6,000-seat arena, a hotel, and commercial facilities. The development incorporated smart city technology in partnership with SoftBank, including AI-driven crowd management, sensor-based logistics, and a dedicated app for services. It was this project that led Japanet to Pegasus Tech Ventures and, through Pegasus, to the companies building the technology that would define the decade.

How a $50 million fund found Anthropic

Pegasus Tech Ventures, based in San Jose, California, operates what it calls a “venture capital as a service” model. Founded by Anis Uzzaman, the firm manages approximately 40 funds with roughly $2 billion in total assets, investing in about 290 startups. It has achieved 76 exits including 25 IPOs. Its corporate partners include AISIN, which expanded its own Pegasus-managed fund to $100 million in February, Denka, SEGA, Sojitz, NGK Spark Plugs, and ASUS. The model connects Japanese and Asian corporations with Silicon Valley deal flow in exchange for capital and strategic distribution partnerships.

For the Japanet fund, approximately 70% of capital has gone to US and European startups, with the remainder in Asia. Focus areas include generative AI, robotics, and space technology. Check sizes range from $100,000 to $1 million for early-stage companies and $1 million to $5 million for later rounds. Neither Japanet nor Pegasus disclosed specific investment amounts, entry valuations, or return multiples for the Anthropic and xAI positions. But the maths is not complicated. A fund that invested even $1 million in Anthropic at a $550 million valuation in 2021 would hold a position worth roughly $690 million at the current $380 billion valuation. The fund also holds positions in SpaceX and OpenAI.

Everybody wants a piece of the Silicon Valley AI action,” Uzzaman told Bloomberg. “For the Asian corporations, it’s an opportunity to invest as well as find new technologies and innovations in aligned fields.” Akito Takata framed the expansion in characteristically modest terms: “We are excited to continue leveraging this fund to seek out the world’s latest technologies and create new value that brings more joy and enrichment to our customers’ everyday lives.

Japan’s AI investment surge

Japanet’s fund expansion is part of a broader pattern of Japanese capital flowing into AI at an accelerating rate. SoftBank has committed $41 billion to OpenAI, lifting its stake to 11% and booking a $4.2 billion gain. Japan’s government announced a one trillion yen, $6.34 billion, five-year scheme beginning this fiscal year to back domestic AI development including foundation models. Japan’s AI infrastructure spending is projected to surpass $5.5 billion in 2026, a sevenfold increase since 2022, according to IDC. Microsoft has committed $10 billion over four years to Japanese AI infrastructure in partnership with SoftBank and Sakura Internet.

The dynamic is that Japan has capital, an aging population that makes AI-driven automation strategically necessary, and a corporate culture that is increasingly willing to invest offshore to acquire technology it cannot build domestically at the same pace. Venture capital firms are racing to deploy billions on the back of AI returns, and Japanese corporations are joining the queue. Hitachi raised a fourth fund totalling $400 million, taking its total allocation past $1 billion. Fujitsu Ventures has invested in Sakana AI and QunaSys. The Japanet fund is smaller than these, but its returns relative to its size may be among the most striking.

The valuation question

The returns that justified the fund expansion are, for now, entirely on paper. Anthropic is private. xAI was absorbed into SpaceX, also private. OpenAI is expected to file for an IPO in the second half of this year but has not yet done so. The positions are illiquid, the valuations are set by the last funding round rather than by public market trading, and the history of venture capital contains no shortage of investments that looked transformative on paper until they were not. Not all AI bets pay off: Builder.ai, backed by Microsoft and Qatar’s sovereign wealth fund, collapsed into bankruptcy despite raising hundreds of millions.

But the concentration of value in frontier AI companies is also unlike anything venture capital has produced before. Anthropic, OpenAI, and xAI are collectively valued at over $2 trillion. AI companies are commanding unprecedented valuations that some of their own investors question, yet each successive funding round prices them higher. Institutional heavyweights including Sequoia, which broke its own convention against backing competitors to invest in Anthropic alongside its existing OpenAI position, are treating these companies as generational assets rather than conventional startups.

For Japanet, the question is what a $200 million fund can do that a $50 million fund could not. The answer, given the trajectory of AI valuations, may be less about finding the next Anthropic than about the size of the position it can take when it does. The Japanet fund’s original mandate was to bring global technology to a stadium in Nagasaki. Its actual achievement was getting into the companies building general-purpose artificial intelligence before most of the world’s largest investors understood what that meant. A family that went from cameras to infomercials to football clubs to frontier AI is, if nothing else, evidence that the returns in this market have been large enough to rewrite any investor’s identity.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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