OpenAI closes $122B round at $852B valuation, opens door to retail investors



There is a number that keeps getting larger, and on Tuesday it got larger again. OpenAI announced that it had closed its latest funding round with $122 billion in committed capital, valuing the ChatGPT maker at $852 billion post-money. The figure is up from the $110 billion the company announced in February, when Amazon, Nvidia, and SoftBank each committed tens of billions to anchor what was already the largest private funding round in history.

The additional $12 billion came from a broader pool of investors, and it is this tranche that marks the more consequential shift. For the first time, OpenAI extended participation to individual investors through bank channels, raising $3 billion from retail participants. It is a move that looks less like conventional venture financing and more like the groundwork for what comes next: a widely anticipated initial public offering that could land as early as the fourth quarter of 2026.

SoftBank co-led the round alongside Andreessen Horowitz and D. E. Shaw Ventures. Among the strategic investors, Amazon’s commitment was the largest at up to $50 billion, followed by Nvidia and SoftBank at $30 billion each. Microsoft, OpenAI’s longtime partner, also participated, though the company did not disclose the size of its contribution. As of late last year, Microsoft had invested more than $13 billion in OpenAI.

The pressure of valuation

The scale of the round reflects both the ambition of OpenAI’s plans and the sheer volume of capital now chasing AI infrastructure. The company said it is generating $2 billion in revenue per month, up from the $13.1 billion it recorded for the full year in 2025. ChatGPT now supports more than 900 million weekly active users, including more than 50 million subscribers. These are numbers that would be remarkable for any company; for one that launched its signature product in late 2022, they are extraordinary.

But OpenAI is still burning cash and is not yet profitable, a detail that looms larger as the valuation climbs. CEO Sam Altman will be under considerable pressure to justify an $852 billion price tag, particularly as the company has been retreating from some of its more ambitious spending plans in recent months. OpenAI shut down Sora, its short-form video generation app, after user engagement fell sharply and a licensing deal with Disney fell apart.

The retreat from Sora is instructive. It suggests that even within OpenAI, there is a growing recognition that not every frontier of generative AI will prove commercially viable, at least not on the timelines that venture-stage valuations demand. The AI boom that powered record growth in 2025 was driven overwhelmingly by enterprise adoption and coding tools, not consumer novelty. OpenAI’s CFO Sarah Friar has said the company will focus on “practical adoption” in 2026, a signal that the prioritisation of revenue-generating products over experimental ones is now explicit strategy.

The retail investor question

The decision to open the round to individual investors is notable for several reasons. It broadens OpenAI’s shareholder base ahead of an IPO, creating a constituency of retail supporters who will have a financial interest in the company’s public debut succeeding. OpenAI will also be included in several exchange-traded funds managed by ARK Invest, further extending ownership to a class of investors who have historically had no access to pre-IPO AI companies.

But $3 billion from retail investors, while symbolically significant, represents less than 2.5 per cent of the total round. The real capital, and the real leverage, remains with a handful of corporate and institutional backers whose strategic interests extend well beyond financial returns. Amazon’s $50 billion investment, for instance, is as much about securing AI infrastructure for its cloud computing division as it is about portfolio returns. Nvidia’s $30 billion cements its position as the indispensable hardware provider to the AI industry. SoftBank, which secured a $40 billion bridge loan to fund its commitment, is betting that AI will be the defining investment thesis of the decade.

The capital being deployed is, by any historical standard, staggering. But OpenAI framed it in infrastructural terms, comparing the investment to the buildout of foundational technology layers. “The capital being deployed today is helping build the infrastructure layer for intelligence itself,” the company said. It is the kind of language designed to make $122 billion sound not like a bet but like an inevitability.

Whether the market agrees will depend on what OpenAI does next. The company that other firms are restructuring themselves to compete with must now demonstrate that its revenue trajectory can sustain a valuation that exceeds the GDP of most countries. At $852 billion, OpenAI is no longer a startup being judged by its potential. It is being judged, increasingly, by the gap between what it promises and what it delivers.



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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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