TCL QM8K review: the TV to beat in 2025
MSRP
$2,499.00
Score Details 'TCL's new premium flagship is the TV to beat this year'
Pros Top of class HDR brightness
Outstanding color accuracy
Impressive built-in audio
Cons Reflective screen
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Earlier this year, TCL held a briefing to show off its new premium flagship QD-MiniLED unit, the QM8K. As the TCL team walked me through the most exciting features of the new model, it became clear that the Chinese brand is gunning for the high-end TV market like never before.
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Everything about the QM8K is designed to compete with the largest players in the game, and the executives spoke of their mission to aggressively grow market share in the premium segment. We were impressed by the TCL QM7K released earlier this year, but the QM8K is a step above in every way as TCL attempts to produce one of the best tvs around.
TCL QM8K specs
Sizes 65, 75, 85, and 98 inches Pricing $2,499.99, $3,199.99, $3,799.99, and $6,499.99 Display type QD-Mini LED Operating system Google TV Screen resolution 4K Ultra HD (3,840 x 2,160) HDR support Dolby Vision, Dolby Vision Gaming, Dolby Vision IQ, HDR 10+, HDR10, HLG Native refresh rate 144Hz Gaming features Auto Game Mode (ALLM), AMD FreeSync Premium Pro, Game Accelerator 288, VRR (up to 144Hz) Audio support Dolby Atmos, Dolby Digital+, Dolby Digital, DTS: Virtual X (Passthrough Dolby Atmos, Dolby Digital+, Dolby Digital, PCM) Connectivity 4 HDMI (1x eARC), USB 3.0, USB 2.0, Ethernet (LAN), S/PDIF, ATSC 3.0 Tuner
A premium build that sheds TCL's budget reputation
The QM8K adopts a new ZeroBorder design that lends a premium aesthetic and an almost edgeless appearance when viewed from a normal viewing distance. The combined width of the bezel and border comes in at an impressive 3-4mm.
Contributing to the premium build is the QM8K's single-piece aerospace-grade aluminum alloy mold, which lends more rigidity to the body of the TV than plastic-heavy molds like those common in cheaper models.
Much of the rear trim of the QM8K is still plastic, however, which helps keep the total weight of the 85″ unit we tested to a reasonable 85 pounds.
The cheaper QM7K shipped with a plastic stand that felt a bit flimsy during setup, while the QM8K comes with a metal stand instead. Full transparency here: due to a shipping error, the QM8K we tested came without the new stand, so pictured is the QM8K installed on the QM7K's plastic stand.
A check of the specs shows that the 'metal' stand weighs just 1.15 pounds more than the plastic one, so the QM8K stand is likely still a plastic or composite core with metal accenting.
Even the remote got an upgrade for the QM8K, sporting a metallic-accent front plate. The button presses are crisp—almost 'clickier' than on the QM7K. Backlighting on the buttons when you pick up the remote ensures it won't get lost in the couch cushions at night.
Impressive built-in audio on the QM8K
Built-in TV speakers don't often provide audio quality that is all that compelling. I mostly find them to function as a stopgap until you can get a soundbar or speaker system set up.
But I have to say, I was truly impressed with the Bang & Olufsen setup on the QM8K. The 85W system provides plenty of power, and I experienced zero distortion when bumping up the volume.
Loud action scenes were exceedingly crisp, and dialogue was always clear and intelligible.
Near reference color accuracy right out of the box
TCL's Filmmaker Mode in SDR offers stunning color accuracy straight from the factory. Right out of the box with zero adjustments it posted an average Delta E of 0.23 (with a max error of 0.94), well below the 'visible' 1.0 threshold. This means a full calibration isn't even necessary for most users.
I measured a white-point error of 1.33 against a 6,000 K target, with the meter reading 5,988 K which is still excellent for a preset without any further calibration. Gamut coverage was excellent in Filmmaker Mode, covering over 99% of sRGB, and 83.2 percent of Adobe RGB.
The 'Standard Mode' SDR preset on the other hand is a hot mess. Average Delta E leaps to 4.65 (peaks at 7.33) and the white-point shifts to an icy 7,945 K. Colors look blown out, skin tones skew blue and overall accuracy collapses, so swap to Filmmaker Mode immediately.
Gamma tracks the 2.2 curve cleanly and the gray balance stays tight across the range, so Filmmaker Mode preserves shadow detail and highlight detail exceptionally well. I measured a native contrast ratio in SDR of 6,470 : 1, which contributes to the gorgeous picture on the QM8K.
Overall the top-notch tone mapping, hyper accurate color, and fantastic contrast make this one of the best looking TV's I've ever tested. Performance in HDR was equally impressive, thanks to Dolby Vision modes and a substantial boost in contrast ratio.
Bright is an understatement
The brightness on the QM8K is nothing short of spectacular. The 85″ model we tested advertises a peak of 5,000 nits in HDR, which places it firmly among the brightest TVs on the market.
I have to include a bit of a disclaimer here when it comes to testing brightness on the QM8K. I'm currently working with a Calibrite Display Pro HL, which is a wonderful little piece of machinery. However, it's only rated for brightness readings up to 3,000 nits, meaning that past that point, the sensor gets totally saturated and readings become less accurate.
During testing, I was able to consistently achieve peak brightness readings of around 4,500 to 4,600 nits in a 4% window on my device, and because of the way these sensors respond to brightness levels beyond their max, it's likely that the reading is inaccurate on the low side.
This makes it completely believable that the panel on the QM8K could achieve 5,000 nits under perfect testing conditions. For peak brightness in HDR while watching actual content, I tested a few different scenes and found that peak brightness readings averaged about 1,400 nits in the brightest spots.
My gripe with reflections
While the brightness of the QM8K impresses, the reflectivity of the screen was fairly high. The setup in my home has some windows facing the screen from across the room. While I understand these are bound to cause reflections when the sun is pouring in, I wasn't expecting that I would still see them even in the late evening hours with a setting sun and the blinds closed.
Even a fairly dim lamp that usually sits in the dining room behind me has to be kept off to avoid reflections. Overall brightness in the room is not an issue, as the QM8K can more than hold its own in a sunlit room. But direct light sources throw substantial reflections.
Outro
The QM8K is TCL's boldest attempt yet at capturing market share in the premium TV segment and represents a leap forward in both technology and performance over previous models. TCL is coming for everyone's lunch and will compete on price in a way only TCL can. The 85″ model we tested retails for $3,799, and look for that price to come down as we get farther from launch and into the holiday season.
QLED Mini-LED TVs are coming after OLED with a vengeance, offering higher brightness, excellent color accuracy, and continuing to push the boundaries on contrast ratios for LED panels. Last year, we were really impressed with the Sony Bravia 9, which was an excellent example of this overall trend.
However, the Bravia 9 is not as bright or color accurate out of the box as the QM8K, and the 85″ version still retails for a cool $1,000 more than the QM8K. TCL's new premium flagship will be the TV to beat this year.
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Bloomberg
24 minutes ago
- Bloomberg
China Wants 115,000 Nvidia Chips to Power Data Centers in the Desert
By Andy Lin Mackenzie Hawkins Colum Murphy James Mayger Graphics by Jin Wu Adrian Leung July 8, 2025 Yiwu Advanced Computing Cluster There's a construction boom under way on the edge of the Gobi desert in Xinjiang, where cranes are at work in fields of rock and the sound of jackhammers fills the air. Here in the modest county of Yiwu, China is building out its ambitions to lead the world in artificial intelligence. The futuristic structures are data centers that the operators seek to equip with high-end American semiconductors — chips that the US government doesn't want its geopolitical rival to obtain. A Bloomberg News analysis of investment approvals, tender documents and company filings shows that Chinese firms aim to install more than 115,000 Nvidia Corp. AI chips in some three dozen data centers across the country's western deserts. Operators in Xinjiang intend to house the lion's share of those processors in a single compound — which, if they can pull it off, could be used to train foundational large-language models like those of Chinese AI startup DeepSeek. The complex as envisioned would still be dwarfed by the scale of AI infrastructure in the US, but it would significantly boost China's computing prowess as President Xi Jinping pushes for technological breakthroughs. Such a project also would raise serious concerns for officials in Washington, who restricted leading-edge Nvidia chip sales to China in 2022 over worries that advanced AI could give Beijing a military edge. Yet the Chinese documents contain no explanation of how companies plan to acquire the chips, which cannot be legally purchased without licenses from the US government, permits that haven't been given. The companies listed in the filings, state officials and central government representatives in Beijing declined to comment when asked to explain. To gauge whether Chinese entities could realistically procure that quantity of restricted processors, Bloomberg News spoke with more than a dozen people who've been involved in or privy to US government investigations into the matter, as well as several people with direct knowledge of the black market in China. None of those familiar with the US probes said they previously knew of the data center buildout in Xinjiang. All said that while they believe there are indeed banned chips in China, they're not aware of an illicit trade network sophisticated enough to procure more than 100,000 such processors and direct that hardware to a centralized location. But the US government doesn't appear to have reached a consensus on the number of restricted Nvidia chips currently in the Asian country. Most of the people interviewed for this story said they were unaware of an agreed-upon estimate, while some offered rough numbers that differed by tens of thousands of processors. Two senior Biden administration officials said they believe there are around 25,000 banned Nvidia chips in China — a number that, one of them added, would not be terribly concerning. That volume of semiconductors, assuming they are integrated into servers and designated for the same facility, could power at most one mid-sized data center. The US Commerce Department — whose Bureau of Industry and Security, known as BIS, is tasked with implementing and enforcing chip trade restrictions — did not answer detailed questions for this story, including how many banned Nvidia chips the Trump administration believes are in China, nor whether Trump officials were previously aware of the projects in Xinjiang. 'Posting a web page asking about restricted products is not the same as successfully licensing, building, and operating a datacenter,' Nvidia said in an emailed response to questions about the Chinese companies' claims. 'Datacenters are massive and complex systems, making smuggling extremely difficult, and we do not provide any support or repairs for restricted products.' The California-based company also said that 'trying to cobble together a datacenter from smuggled, previous-generation products makes no business or engineering sense,' especially since chips and servers made by Huawei Technologies Co. are widely available in China. Jensen Huang, Nvidia's chief executive officer, made his position clear at a May conference in Taipei: 'There's no evidence of any AI chip diversion,' he said. Yet the head of BIS pointedly contradicted that assertion just weeks later, telling US lawmakers that there is clearly a problem with AI chip smuggling. 'It's happening,' said Commerce Under Secretary Jeffrey Kessler. 'It's a fact.' Although Kessler didn't mention Nvidia by name, the company is by far the dominant provider of such semiconductors. Kessler also said that US efforts to restrict Huawei's chipmaking capabilities will keep China's output at just 200,000 AI processors this year — a number far short of domestic demand. To be sure, Bloomberg News has not found evidence that China has amassed, or can amass, 115,000 banned Nvidia chips — nor evidence that smaller volumes of restricted semiconductors that US officials believe are in the country have been directed to centralized locations. And yet in Yiwu, the construction goes on. Looming out of the desert, a tower the height of the Golden Gate Bridge radiates an intense light that pierces the surrounding dust clouds. Arrays of reflectors focus the sun's energy onto a receiver that allows the daytime heat of the arid plains to be stored, ensuring continuous power generation. It's one main reason for the choice of Yiwu, just to the south over a mountain pass. On the barren hill behind one new building stands a wall with a slogan picked out in red Chinese letters two meters high: 'Data-electricity fusion shows great promise.' Xinjiang, and especially the Hami region which includes Yiwu County, is rich in wind and solar energy, as well as abundant in coal, offering a ready source of affordable power. Local governments there are at the forefront of a state strategy to take advantage of those energy resources — along with cheap land and cool weather at altitude, helping counter the heat generated by racks of servers — to meet the AI computing-power demand of more economically developed regions such as Shanghai and Shenzhen. Xinjiang, China's Major Hub for Renewable Energy Rich in wind and solar energy resources, Hami in eastern Xinjiang has become one of China's largest renewable power bases On a midweek day in March, workers loaded windmill blades onto the back of trucks traveling the road between the prefectural capital of Hami City and Yiwu, over bleak terrain past occasional camels grazing, and through a new tunnel leading out to a plain with views of snow-capped mountains. The main road into town leads past the first data center, still under construction, with a man welding from his perch on metal scaffolding. Hami is best known for its sweet melons, and Yiwu claims to be the site of the last battle on the mainland of the Chinese civil war in 1949. There's a monument downtown dedicated to a horse that played a role in the final engagement between Communist forces and nationalists loyal to Chiang Kai-shek. The authorities in Xinjiang are particularly suspicious of foreigners due to Western allegations of human-rights abuses against ethnic Uyghurs. Interview requests sent to eight data center operators in Yiwu were ignored, rejected or agreed to and then cancelled at short notice. The Xinjiang government and Ministry of Industry and Information Technology (MIIT), the central government ministry overseeing data center development, didn't reply to Bloomberg requests for comment. The most important part of a giant data center is relatively small. Nvidia dominates the market for so-called AI accelerators, highly coveted components that have propelled the chipmaker's valuation to nearly $4 trillion. The processors are connected together in giant arrays numbering tens of thousands and used to sift through mountains of data to create new computer code that can in many ways approximate human intelligence. The US barred China from importing Nvidia's best chips in October 2022, a month before OpenAI's ChatGPT debut roiled the tech industry and sparked a global race that now includes DeepSeek among its top players. Washington several times has ratcheted up those curbs, restricting sales to China of a variety of advanced semiconductors and the machines used to make them — with additional sanctions levied on specific Chinese tech companies. That sweeping effort, which dates back to Trump's first term, has become a primary source of tension with Beijing — one that Chinese officials repeatedly raised in recent trade talks with the US after the Trump administration imposed punitive tariffs. 'All the greatest chips in the world are American, right? So of course they want them,' Commerce Secretary Howard Lutnick told CNBC last month, speaking about China's position during negotiations in London. 'And of course we said 'absolutely not.'' The Xinjiang effort suggests that China's AI ambitions — which hinge in large part on locally produced chips from the likes of Huawei — still include some hope of accessing restricted Nvidia hardware too. Project approval documents show that in the fourth quarter of 2024, local governments in Xinjiang and in neighboring Qinghai province green-lit a total of 39 data centers that intend to use more than 115,000 Nvidia processors. All of the companies stated in their investment plans that they aim to obtain H100 or H200 chips, two Nvidia GPUs, or graphics processing units, that were the industrial standard for training large language models such as OpenAI's GPT4o and Google's Gemini through last year. Nvidia this year debuted a new, more advanced model — dubbed the Grace Blackwell — that is banned along with the H100 and H200 from export to China without a US government license. Seven Xinjiang projects that aim to use those processors had started construction or won open tenders for AI computing service as of June 2025, according to tender documents obtained by Bloomberg. One operator says it's already using advanced hardware facilities to support cloud access to DeepSeek's R1 model, according to local news reports. Still, the provincial projects' description of their intended computing capabilities may be somewhat aspirational: Local party officials try to signal to Beijing that they are working toward national priorities, but Chinese companies frequently launch initiatives that are never completed. One of the largest projects involves a company ultimately controlled by Nyocor Co., a Tianjin-based energy firm mainly engaged in solar and wind power. It proposes to build a data center powered by 625 H100 servers, one of the banned Nvidia models. It would start with 250 servers in the first phase. That's 2,000 H100 chips. Tender documents show the Nyocor project has started installing servers and other equipment at the data center building, and has asked China Bester Group, a Hubei-based IT company, to supply the hardware. Unlike the investment approval documents, which explicitly state the company wants to use H100s, the tenders don't specify whether the installed servers run on Nvidia chips or some alternative. The amount of the investment was not disclosed. Nyocor is selling its computing power to Infinigence AI, one of the largest AI infrastructure companies in China. The company has raised one billion yuan since creation. "Our goal is to turn computing service into facilities like water and gas, readily available when developers turn on the switch," said Infinigence's CEO in an interview with local media in September 2024. Bloomberg estimates that in order to complete all of the 39 projects as outlined, companies would need to figure out a way to purchase more than 14,000 data servers or 115,000 Nvidia H100 or H200 chips, both banned for China-based entities. Bloomberg estimates these chips would be worth billions of dollars based on black market prices in China. Nyocor declined to comment. China Bester and China Energy Investment didn't reply to requests for comment. Infinigence AI couldn't be reached for a response. Around 70% of computing power planned by the identified projects is in a single compound set up by the local government in Xinjiang. That makes the region — the epicenter of Western charges of Chinese rights abuses including forced labor and religious persecution — pivotal to China's efforts to seize the lead from the US in a sphere seen as key to future global technological, and geopolitical, dominance. Even if successful, the Xinjiang complex would only involve the number of Nvidia chips that one major hyperscaler — a term for massive data center operators like Microsoft Corp. and Amazon Web Services — deploys in a single week, according to data Nvidia provided on a recent earnings call. Still, Chinese companies like DeepSeek are beginning to show they can do more with less. 'The gap between leading US and Chinese AI labs is closing,' said Kevin Xu, a tech investor and founder of US-based Interconnected Capital, who put it at around three months. Players like DeepSeek, which says it trained its R1 model using less-advanced Nvidia chips, are 'very serious and sincere' about pursuing artificial general intelligence, Xu said. The fact that leading Chinese models are open source means they spread faster globally, he added, while noting that diffusion is hard to track: 'Beijing sees this trend as a source of technological soft power worth embracing.' DeepSeek and other Chinese AI startups have already expressed interest in collaborating with the data center projects in Xinjiang, according to an employee of one of the largest investors in the Yiwu sites. That employee, whose name has been withheld to protect their identity, said in a message exchange that their company will invest more than 5 billion yuan ($700 million) in data center projects there in 2025 and 2026. China's data center industry is expected to surpass 300 billion yuan in scale this year, according to the Securities Times. Chinese entities are collectively expected to invest nearly that amount on an annual basis by 2028, according to the China Communications Industry Association — a more than threefold increase from a half-decade prior. Xinjiang has already brought its first 'intelligent computing center' online, and constructed 24,000 petaflops of computing power for demand from the logistics hub of Chongqing, Chairman of the People's Government of Xinjiang Erkin Tuniyaz said in an annual government work report in January, without specifying the type of chips installed. The cited computing power is equivalent to roughly 12,000 server-integrated Nvidia H100s. Prospective investors in such projects are attracted with the promise of free electricity worth up to 20% of total power costs. Data center operators also can access government support ranging from one-off payments for construction to operation incentives for up to five years, depending on company size, according to local government documents reviewed by Bloomberg. Experts in 'green computing' areas are also eligible for favorable terms on accommodation, children's education and research funding. From a standing start, 'Xinjiang's intelligent computing has achieved a historic breakthrough,' Tuniyaz said in January. China's Planned Computing Power Corridors China's East Data West Computing initiative brings together AI data centers and computing power demands Policymakers in Washington for years have been aware that limiting China's access to US technology is not as simple as writing a regulation. Not two months after the chip restrictions took effect, Chinese officials caught a woman hiding forbidden hardware in a baby bump. The American AI company Anthropic recently said smugglers have packed GPUs next to live lobsters. Nvidia has dismissed both examples as 'tall tales' that ignore the complexity of building data centers, which require operational support to run properly — support that Nvidia does not provide for restricted products in China. Still, conversations with people privy to illicit semiconductor transactions, as well as media reports from a range of outlets, indicate that smuggling networks have gotten more sophisticated over time. Those stories — which have helped inform US investigations, people familiar with the matter said — have cited examples ranging from dozens of illicit processors to more than a thousand. Potential smuggling in Malaysia has become a big concern for the Trump administration, which plans to restrict Nvidia sales there to halt possible diversion to China, and also has asked Malaysian authorities to crack down on the issue — a request the government has said it'll heed. Officials in Singapore, meanwhile, are prosecuting three men for alleged fraud in exports to Malaysia of AI servers that likely contained advanced Nvidia processors — bound for an unknown final destination. In response to queries about Washington's export control plans, Malaysia's Ministry of Investment, Trade & Industry said the country will 'act firmly against any company or individual should there be strong evidence' of misuse or diversion of advanced tech. The ministry added that Malaysia welcomes a dialogue with the US and other nations to 'clarify any misunderstandings and to strengthen mutual trust.' Trump officials are separately investigating whether DeepSeek may have accessed restricted chips through intermediaries in Singapore, and a bipartisan congressional committee focused on China recently requested Nvidia's customer data for 11 Asian countries, related to concerns that DeepSeek may have circumvented US export controls. (None of the documents viewed or interviews conducted through the course of this investigation indicated any link between the Xinjiang projects and supply chains in Singapore or Malaysia. Nvidia is not accused of any wrongdoing in Singapore's probe or in the US investigation into DeepSeek.) Read More: Lutnick Urges Tougher Enforcement of Export Curbs on China Nvidia consistently has said it abides by all US rules, but Huang has made no secret that he doesn't like Washington's strategy. Years of curbs — including on crucial semiconductor manufacturing equipment — have 'failed' to contain Huawei's rise, he said at the May conference in Taipei. Nvidia now sees Huawei as a formidable competitor, and the company worries its Chinese rival will continue to improve and gain market share — unless the US government allows Nvidia to compete on Huawei's home turf. Washington isn't buying it. The Trump administration has already further limited the types of chips Nvidia can sell in China, at a $5.5 billion hit to the company. White House AI Advisor Sriram Krishnan, asked about Huang's urge to lift those curbs, said that 'there is still bipartisan and broad concern about what can happen to these GPUs once they're physically inside' the Asian country. Meanwhile, Chinese companies continue to build their data centers, a sign they expect to receive AI chips from somewhere. Two such construction projects were approved by the Qinghai government in December 2024, with a total investment of 13.5 billion yuan, documents from Qinghai's investment review website show. The companies applying for construction permits for both projects were founded that same month. China's company registry services show both entities can be traced by shareholding data to the same group of controlling companies: one real estate firm in Qinghai named Qinghai Borong Group and one AI tech company in Sichuan called Chengdu Qingshu Technology. They didn't respond to requests for comment. Neither is on Nvidia's official resellers list. Related tickers: NVDA:US (NVIDIA Corp) 40978Z:CH (Huawei Technologies Co Ltd) 600821:CH (NYOCOR Co Ltd) 603220:CH (China Bester Group Telecom Co Ltd) Additional reporting by Ian KingYuan GaoEdwin ChanJenny Leonard Edited by Alan CrawfordJane PongPeter Elstrom Photos edited by Yuki Tanaka Methodology Bloomberg News obtained the investment plan documents from Xinjiang and Qinghai's government websites exhibiting investment approvals, the description of which specify the investing company's name, date of approval and how many H100/200 servers are to be installed or the planned total computing power. Bloomberg cross-checked the company details in the documents with China's company registry information to identify their ultimate parents, and looked them up in the tender databases in China for announced procurement and tender information. Bloomberg reporters also found details of Yiwu's AI development project when conducting reporting in the town, with billboards showcasing the industrial park's master plan. Terms of Service Do Not Sell or Share My Personal Information Trademarks Privacy Policy Careers Made in NYC Advertise Ad Choices Help ©2025 Bloomberg L.P. All Rights Reserved.
Bloomberg
44 minutes ago
- Bloomberg
Big Take Asia: China's AI Bet Rises From the Desert
In a remote part of China's northwestern Xinjiang region, dozens of data centers rise from the desert. A Bloomberg analysis of investor and tax documents and company filings found Chinese companies plan to buy more than 115,000 high-tech Nvidia chips — chips the US has banned from being exported to China – to power these centers, which could then be used for training AI models. On today's Big Take Asia Podcast, host K. Oanh Ha talks to Bloomberg's Andy Lin and James Mayger about the story, and what it means for China's AI master plan.
Wall Street Journal
2 hours ago
- Wall Street Journal
TNB Tech Minute: Trump's Megabill May Give Boost to Chinese EV Makers - Tech News Briefing
Full Transcript This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Julie Chang: Here's your TNB Tech minute for Tuesday, July 8th. I'm Julie Chang for the Wall Street Journal. China's electric vehicle makers are anticipating greater growth following the signing of President Trump's US mega bill, that's according to the secretary general of the China Passenger Car Association today. The US law will end subsidies for EVs bought after September. The head of the Chinese Auto Industry Group said the bill should give China greater room to develop in overseas markets. According to the association, exports of new energy vehicles from China, which includes EVs and plug-in hybrids, jumped 48% in the first half of this year compared with the same period last year. Plus the mega bill's no tax on tips provision could bring in a two-point-five percent pay bump for Uber drivers. A couple of Bank of America analysts said in a research note that that could provide a modest tailwind to supply, which could help Uber collect more fees. The note also said the right-hill company may benefit from potential autonomous vehicles, saying Uber is backing an AV fleet manager that's raising $1.2 billion to finance a partnership with Waymo. Finally, Boldstart Ventures has raised a $250 million artificial intelligence fund. The vehicle will target AI founders at early stages of development, Boldstart will target sectors including AI infrastructure and application layer startups, cyber and crypto. According to data provider, CB Insights, in this year's first quarter, there were eight early-stage AI financings worldwide of $100 million or more, a quarterly record. And a reminder that we're on a new schedule starting this week, we'll have another tech minute for you tomorrow morning with full TNB episodes in the feed early on Tuesdays and Fridays.
