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In his Sunday column, Jim Cramer explains why Amazon is his favorite hyperscaler after second-quarter earnings season. View More

For months, I have been after Amazon CEO Andy Jassy to give us "line of sight" into something that can explain why they're is spending so much money building out all of these data centers. I wanted to know if this is just some sort of rainbow without a pot of gold, or whether there really is a there there. It's among our biggest positions in the Club portfolio, and I was getting pretty darned antsy that I was into a far more dicey situation than when we first bought the stock almost a decade ago. So, I kept hammering about the line-of-sight explanation. Somehow my musings got through to him. On Thursday's earnings call — as I referenced in Friday's Morning Meeting, and Jeff Marks talked about in his excellent Homestretch piece — Jassy gave us what I wanted. "At this level of spend and higher, we have clear line-of-sight to strong financial returns," the CEO said. I want to spend more time unpacking what Jassy said because it has changed the minds of many about what seemed to be a ridiculous, if not ruinous, level of spending on artificial intelligence infrastructure. It was his calm, thought-out presentation that allowed Jassy to raise his 2026 capex budget by $20 billion to $220 billion and have his stock, in the wake of that announcement, gallop to its biggest one-day gain in over a decade. Shares surged 15.3% to $271.58 and added $382 billion in market cap. Contrast that to Google parent Alphabet , which on July 22 raised its capex guide by a similar amount — up $15 billion to a range of $195 billion to $205 billion. In response, the stock had its third-worst day in the past two years. Despite liking the company very much, I made clear in the aftermath that I was disappointed in Alphabet's earnings call , particularly the discussion around balance-sheet health, despite liking the company very much. In a bit of irony, Jassy's rigorous comments Thursday night took up all the hyperscalers' stocks in Friday's session. That includes Alphabet, which spiked 6.7% and has now erased all its post-earnings losses. Yes, Jassy's words were that important. It didn't hurt that Jassy had the goods: "Even at [$220 billion in capex], we will not have enough capacity to meet all the demand we have in 2026 and I believe this dynamic will also be true in 2027, too. In fact, the demand we already have for 2028 is striking. And remember, enterprises are still very early in using inference at scale in their current production applications. I heard the word "striking" all Friday. It was pitch-perfect. You want to argue with someone trying to meet "striking" demand? I don't. Jassy also said that while he long believed Amazon Web Services could become "a few hundred billion dollar revenue business," he now believes it will be at least double that and "very possibly be a $1 trillion-annual revenue business for us in time." It's worth repeating: He sees the potential for a trillion in revenues from this AI spending. If that's the case, it makes sense that Jassy is willing to risk "free cash flow headwinds until these data centers come online, can be monetized and we get a few years into these servers being utilized." Again, he forcefully explains the need to spend more even if it hurts — or wipes out — free cash flow, which is operating cash flow minus capex. Amazon had a cash outflow of $7.6 billion in the second quarter. Alphabet, on the other hand, almost seemed to not care about the change from being cash-flow dominant to cash-flow deficient. Yep, in the second quarter, Alphabet turn in a cash outflow of $5.86 billion — its first negative FCF quarter since going public in 2004. You have to remember that this is not the first time Jassy has had to spend more than Amazon took in initially. Before replacing founder Jeff Bezos as Amazon CEO in 2021, Jassy lead the creation of Amazon Web Services, which launched in 2006. The cloud unit has, of course, become Amazon's most lucrative business. Getting AWS to cash flow positive longer than Jassy expects the mismatch to be resolved in this case. We sometimes forget how much Amazon had to juggle to get to its dominance. The company is not anxious to lose it. When you think of it like that, you know Jassy has to go out on a limb periodically to keep the crown. It was refreshing to hear a breakdown of where the spend goes, with Jassy explaining there are two major investments. The first is the construction of the data center building, and the second is the compute servers and networking equipment that go under the roof. In other words, the data center has to be built first. But nothing can be monetized until he can put the servers in. "Once a data center opens with servers plugged in, we start generating significant revenue right away and then get to monetize these data centers for 30-plus years without having to spend that start-up capital again." It takes a little less than three years to break even on the investment in servers and networking gear, according to Jassy. That's a small price to pay for a possible 30-year payoff. Of course, there are siting issues, community issues, power issues. They weren't addressed in Jassy's masterclass on AI capex. I will tell you, though, in the industry, Amazon is known as the shrewdest builder. Unlike those firms that are leasing compute capacity from neoclouds such as Iren , CoreWeave and Nebius , Amazon has total control. That will matter as the leases, I am told, can be murky as to who has control later on. When I met with Jassy in early May for a "Mad Money" interview, I wanted to know when, when, when. When would we see at least some money coming in from AI? He gave us a heck of an answer on Thursday night. "Our artificial intelligence run rate climbed significantly quarter over quarter and is now over $25 billion, growing triple digit percentages year over year," he said. Line of sight? This money is in our faces. That, ladies and gentlemen, is why the stock of Amazon surged Friday and took its hyperscaler peers along for the ride. Jassy explained their rationale methodically, walking us through the lifecycle step by step. He made it clear he would be a fool not to spend the money because a data center is so lucrative. If Jassy can see it, so can the other major tech companies, hence the race among the companies that can monetize the data center: Alphabet, Microsoft , Meta Platforms and Elon Musk's SpaceX , which jumped into the compute rental game this year. Let's consider each one in light of their conference calls and Jassy's insights. I have been tough on Alphabet because it nosedived after its tone-deaf call. That's too bad because if you caught my July 23 interview with Google Cloud CEO Thomas Kurian, you can tell Google has really caught up after lagging badly before Kurian got there from Oracle eight years ago. If Alphabet had calmly explained why it had to boost spend and pointed out how much lift it is already seeing from AI, I think its stock could have embarked on a post-earnings rally because of the monster 82% revenue growth for Google Cloud. Granted, that's off a smaller revenue base than AWS, which grew 37% in Q2. Nevertheless, Google Cloud's growth is impressive. Alphabet's call was irksome because they acted as if raising money from stock and bond sales was somehow good for the balance sheet. Hmmm. Bring back Ruth Porat, Alphabet's current president and chief investment officer, for a CFO encore please. A descent into negative free cash flow is something that needs to be explained in a clinical, dispassionate way, not in a glib fashion. It obscured Kurian's incredible work at Google Cloud. I reiterate the same numbers explained differently would have sent the stock higher. It's only thanks to Jassy that those post-earnings losses were erased Friday. How about Microsoft? After reporting Wednesday night, Microsoft's stock rallied magnificently on Thursday because it is not free cash flow negative despite all of its spend. I heard some chatter about how the numbers looked better because the company is extending the useful life of data centers to 25 years from 15, lowering depreciation expenses. I am not going to criticize CFO Amy Hood for her novel way of deciding how long a data center will last. The fact is Microsoft is now doing better on the front end, integrating its Copilot AI assistant to the mix. Getting over 30 million paid Copilot seats now counts toward Microsoft's AI success. The business-to-business front porch helped Microsoft immensely. I was quite surprised at Copilot's strength after being concerned that it was an also-ran like Microsoft's search engine Bing. It took a little bit to get off the schneid, but it is certainly there now. Microsoft's Azure cloud business, like Google Cloud and Amazon Web Services, is doing fantastically. Again, nice synergies. Spending forgiveness for a supposedly hated software company? Who would've guessed. It did get me wondering whether Microsoft's stock was being kept down because Leopold Aschenbrenner's Situational Awareness hedge fund had been shorting it. We know from my colleague David Faber's reporting that the firm was shorting some software-as-a-service stocks — that is, before the forced liquidation of its levered bets . Microsoft's stock is so huge it is hard to imagine that Aschenbrenner could drag it down. But anything's possible with that boy wonder. Now to Meta, which reported Wednesday night alongside Microsoft. This spend explanation was the weakest. In fact, it was nonexistent. The company is participating in the huge data center buildout, but it has no cloud service business to help monetize the spend. Of course, there's been reports that Meta was preparing to launch a compute-rental business — as I've urged the Instagram owner to do — and that possibility came up again on Wednesday's call. But it seemed like CEO Mark Zuckerberg wasn't sure whether Meta should use the compute it is building for itself or for others. I was quite shocked and disappointed that Meta didn't seem to have a plan for all of this spend. I had come into the call expecting good things, including some projections of how they could more quickly recoup their costs than anyone. I didn't get them. Instead I got a call that indicated there's plenty of people using Instagram and Facebook and nothing's changed. Really? Sometimes, Zuckerberg gets it wrong and then he pivots. I await the pivot. SpaceX holds its first earnings call since its blockbuster June IPO on Wednesday night. SpaceX has an enormous data center in Memphis, and Musk is renting it out for big money to Anthropic while he consolidates his business empire. He's also renting compute to Google. SpaceX's stock is soggy because there is just so darned much of it about to hit the market. The true believers don't want to know what his plan is for his data center spend. They just want to know he's involved. That's why I am loath to criticize. What good does it do? The lovers will love, and the haters will hate. Bottom line I know that for months I was concerned that all of this spend was going to break the bank for some firms. I now feel that they are in a competitive situation and they can't afford to lose. But it is not zero sum, as there is business for everyone that spends enough money, kind of like how there are three large cloud service companies: Amazon, Microsoft and Alphabet. That's why I want to reiterate that I like Amazon the most, and then Microsoft because it turns out that its AI business is already doing very well. In third place now is Alphabet because I didn't like how they didn't seem to care about how much they were spending. Meta? Jeez. I had hoped to hear all about the forthcoming Meta cloud service. I am confident that had we gotten a clear plan, the stock would be in the high $600s, instead of the mid-$500s. Maybe next time? Now that the others are on firmer footing and respected again, we just have to wait to see whether Zuckerberg has heard the thunder. If these last two weeks proved one thing: unless you do have a data center business to monetize the AI work, you may not want to go down that path. But if you do, you can afford it. As Jassy explained, the returns should eventually be there. A fantastic company like Meta is not going to be able to afford the capex spend and make it up with sales of Ray-Ban smart glasses. They can make you look better, but not make you wealthier. In fact, in the case of Meta and its Reality Labs division , they lose you money. Finally, I want to make one more point, perhaps more than any other: the people who run these companies are very powerful and have unlimited resources. They are remarkable executives. I have been trying to get all of the hyperscalers to explain their spend. Only one, Andy Jassy, was courageous and smart enough to do it. That's worth remembering if you ever doubt owning Amazon's stock again. (Jim Cramer's Charitable Trust is long AMZN, META, GOOGL and MSFT. See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.

AI debate in recent years has centered on whether the U.S. can develop a strategy capable of preserving an edge over China. The answer isn't looking positive. View More

Travelers walk past an Alibaba Cloud advertisement at Shenzhen Bao'an International Airport in Shenzhen, China, on Tuesday, Oct. 7, 2025.Bloomberg | Bloomberg | Getty Images For much of the past several years, the debate over artificial intelligence has revolved around two foundational questions: Can American technology companies continue to innovate at the technological frontier? And can the United States government develop a strategy capable of preserving America's technological advantage over China? Those questions have now been overtaken by events.The defining question is no longer whether China can compete at the frontier. It is whether the U.S. can adapt quickly enough to compete against an increasingly sophisticated Chinese innovation ecosystem that is advancing not only on model performance but also on cost, deployment, customization, financing, standards, developer adoption, and global reach. Washington increasingly finds itself responding to successive Chinese breakthroughs rather than shaping the competitive environment in which artificial intelligence develops. That should concern policymakers, technology executives, investors, and America's allies far more than the latest benchmark score or model release because the competition is rapidly evolving beyond individual companies and becoming, instead, a contest between competing innovation ecosystems.The headlines surrounding DeepSeek, Moonshot AI's Kimi K3, Alibaba's Qwen family of models, Tencent's Hunyuan, Zhipu AI and MiniMax are often treated as separate stories. They are anything but. Viewed collectively, they reveal something far more consequential than the emergence of several successful Chinese AI companies. They demonstrate that China has cultivated a frontier AI ecosystem capable of repeatedly producing world-class capabilities across multiple firms. Whether those advances emerge through original innovation, engineering optimization, open-weight collaboration, or from distillation of U.S. models is increasingly beside the point. The larger strategic reality is that they are occurring across an ecosystem, while the U.S. continues to evaluate them one company at a time and often responds as though each breakthrough were an isolated event rather than evidence of a broader structural transformation.Over the past several years, the U.S. has consistently underestimated China's commitment to long-term technological advancement and its ability to translate domestic industrial strategy into global competitive advantage. Whether the issue was rare earths, electric vehicles, robotics, semiconductors, or artificial intelligence, the analytical mistake has remained remarkably consistent. Washington has tended to evaluate China's progress company by company and product by product, often dismissing each advance as exceptional or unsustainable, while Beijing has pursued a patient strategy designed to cultivate the conditions under which an entire ecosystem could innovate and deploy simultaneously. It is equally important to recognize that China's plans and long-term trajectory toward becoming a technology superpower were established years before the Biden administration's technology restrictions. Those measures may have influenced the direction and pace of Chinese innovation, but they did not create the underlying strategic trajectory. DeepSeek's January 2025 announcement compelled many observers to acknowledge a trajectory that Beijing had been articulating through industrial policies, successive Five-Year Plans, and national technology strategies for more than a decade. The breakthrough was not the strategy. It was evidence that the strategy was beginning to produce measurable impressive results.We are entering an era of ecosystem statecraftThat broader approach is what I would describe as ecosystem statecraft: a form of strategic competition that seeks to shape the competitive environment within which technologies are developed, financed, standardized, deployed, and ultimately promoted and adopted. It integrates industrial policy, finance, innovation, global standards, university curriculum direction, state-supported developer ecosystems, diplomacy, and commercial expansion into a coherent national strategy designed to reinforce long-term technological leadership. Rather than competing company by company or technology by technology, ecosystem statecraft seeks to shape not just the technologies themselves, but the conditions under which they succeed.Artificial intelligence simply happens to be the clearest manifestation of this broader strategy today. The same logic existed across China's approach to semiconductors, electric vehicles, batteries, robotics, telecommunications, renewable energy, critical minerals, digital infrastructure, and advanced manufacturing. AI is therefore not an exception to China's industrial strategy. It is its most sophisticated expression.Viewed through that lens, the United States and China increasingly appear to be pursuing fundamentally different theories of victory. American policy has understandably emphasized preserving technological leadership through frontier innovation while slowing China's progress through export controls, investment screening, and restrictions on access to advanced computing. Those remain important tools and should continue to play a central role in America's competitive strategy. Beijing increasingly appears focused on shaping the ecosystem within which global technology competition occurs. Chinese AI firms are making their technologies easier to deploy, easier to customize, easier to integrate across multiple computing environments, and easier for developers, businesses, and governments around the world to build upon. In the long run, reducing friction throughout the technology stack may prove just as important as improving benchmark performance.A race to 'addict' the rest of world to tech stack President Xi Jinping's recent address to the World Artificial Intelligence Conference reflected this broader vision. By emphasizing international AI cooperation, governance, open-source development, and greater participation by developing countries, Beijing continued to position itself not simply as a producer of advanced AI, but as the architect of an alternative global technology ecosystem. Viewed together with China's efforts to strengthen domestic control over strategically important technologies while encouraging international adoption of its AI platforms, the strategy becomes increasingly clear: protect critical capabilities at home while expanding technological influence abroad. Or, as Commerce Secretary Howard Lutnick said during public debate over an Nvidia chip export ban -- echoing a talking point from Nvidia CEO Jensen Huang -- the goal is "addicting" the rest of world to a tech stack. But increasingly, it is not clear that the American stack is the one.This broader strategy also helps explain why persuading countries to avoid Chinese AI will likely prove considerably more difficult than Washington's earlier campaign against Huawei and ZTE. Governments can regulate telecommunications infrastructure, but they have far less ability to determine which AI models, software libraries, and developer tools are ultimately adopted by millions of developers and integrated into commercial applications around the world. Increasingly, technology adoption is occurring from the bottom up as much as from the top down. watch nowVIDEO6:1706:17U.S. bid to block Chinese AI models is like trying to 'capture jello': InvestorThe China Connection At the same time, many governments now evaluate both Washington and Beijing through a more pragmatic lens, balancing and hedging both countries, and making decisions based on security concerns as well as comparative affordability, financing, technological capability, local capacity building, and long-term economic opportunity. Countries ultimately adopt technology ecosystems from partners they believe will remain reliable, affordable, accessible, and committed to long-term engagement. Trust, financing, developer communities, standards, commercial partnerships, and diplomatic credibility have become competitive advantages in their own right.What concerns me most, however, is not China's progress. It is the framework through which the U.S. increasingly debates its response. Too often, America's AI conversation is framed around the competitive interests of individual companies rather than the nation's long-term strategic interests. That is not a criticism of OpenAI, Anthropic, Nvidia, Microsoft, Amazon, Google, or any other company. Their responsibility is to maximize shareholder value and strengthen their competitive position. Governments have a different responsibility. Markets optimize for competitive advantage. Governments must optimize for national advantage. Those objectives frequently overlap, but they are not always the same.America retains extraordinary advantages. Its universities remain unparalleled, its venture capital ecosystem remains unmatched, its semiconductor industry continues to underpin the global AI economy, and its frontier laboratories continue producing extraordinary breakthroughs. Yet history reminds us that technological leadership is rarely determined solely by who invents it first. More often, it is determined by who builds the ecosystem that everyone else ultimately chooses to join.The question for the U.S. is therefore not simply whether American companies can continue building the world's most capable AI models. It is whether the United States can develop an equally coherent national strategy, one capable of surviving changes in administrations while combining technological innovation with trusted alliances, standards-setting, research, talent development, commercial partnerships, financing, and renewed international credibility. Once the competition becomes ecosystem versus ecosystem, success will depend on far more than whose models perform best. It will depend on whose ecosystem the world's developers, researchers, entrepreneurs, universities, businesses, governments, and investors choose to trust, adopt, and build upon. Given the totality of those metrics, the United States still has work to do.—By Dewardric McNeal, Managing Director and Senior Policy Analyst at Longview Global, and a CNBC Contributor Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.

Small-cap funds have emerged as the best-performing equity category in FY27 so far, delivering an average return of 22.31% between 1 April and 31 July. They were followed by mid-cap funds with 17.22%, flexi-cap funds with 14.06%, and large-cap funds with 10.52% returns.  View More

A proposal to amend the SEZ Act could boost MRO, defence, engineering and IT services by allowing INR payments for services to domestic clients View More

Trump had written on Truth Social that the US was “locked and loaded and ready to go against the Islamic Republic of Iran” but agreed to cancel the planned attack after being asked by Iran and other regional countries to hold off. View More

Dearness Allowance or DA is a percentage of basic salary, reviewed twice annually, and aimed at offsetting the impact of inflation for government employees and pensioners. Here's a look at all the dearness allowance announcements so far… View More

Assetz Ltd, a prominent Bengaluru-based real estate developer, has embarked on its journey towards an initial public offering by submitting its preliminary documentation. The firm aims to secure around Rs 1,200 crore as it ventures into public markets. With ambitious plans for land acquisition and a keen interest in expanding to the Mumbai Metropolitan Region, this step marks a crucial milestone in Assetz Ltd's growth trajectory. View More

Real estate developer Assetz Ltd has filed preliminary papers with markets regulator Sebi using the confidential route to raise around Rs 1,200 crore through an initial public offering (IPO). The proposed listing would mark the public-market debut of one of Bengaluru's fastest-growing residential developers, which counts Singapore-based investment fund AGP Partners as a key shareholder. In a public notice on Saturday, the company said it has filed "the pre-filed draft red herring prospectus with Sebi and the stock exchanges... in relation to the proposed initial public offering of its equity shares on the main-board of the stock exchanges". According to people familiar with the matter, the IPO size is pegged around Rs 1,200 crore. JM Financial , BofA Securities India, and Motilal Oswal Investment Advisors are the book-running lead managers to the proposed issue, they added. Live Events Under the confidential pre-filing route, companies are allowed to keep their draft offer documents out of the public domain until the regulatory review process reaches a more advanced stage. As a result, details regarding the offer structure, financial performance, valuation and listing timeline are not available at this stage. Assetz has built an institutional-style operating and governance structure, with its projects structured through special purpose vehicles (SPVs), providing greater transparency and governance at the project level, according to real estate consultants. Over the years, the developer has raised capital at the project level from investors and financial institutions, including JP Morgan, Aditya Birla Capital , Motilal Oswal Alternates, and HDFC Ltd. The company has raised and repaid more than Rs 1,000 crore of capital over the years, the consultants said. Assetz is led by its shareholder-cum-management team comprising Managing Director Akshay Kishore Dewani and Executive Director Sunil Kumar Pareek, supported by a board of non-executive and independent directors. Singapore-based AGP Partners is a key shareholder in the company. Ben Cameron Melville Salmon, who is associated with the investment fund, serves on Assetz's board as a non-executive director and is not a promoter of the company. Amid robust housing demand in Bengaluru, the developer has also stepped up land acquisitions to expand its project pipeline. It recently acquired around 200 acres to strengthen its presence in the city's high-demand eastern and northern corridors. Overall, Assetz has tied up around 550 acres and has a development pipeline of about 4.5 crore square feet, largely through joint development arrangements, people familiar with the matter said. The Bengaluru-focused developer is also exploring an entry into the Mumbai Metropolitan Region (MMR) as part of its geographical expansion plans, they added. .Pbanner{display:flex;justify-content:space-between;align-items:center;background-color:#ec1c40;margin-top:20px;padding:5px 10px;border-radius:4px;color:#fff;line-height:10px;width: 100%;box-sizing: border-box} .Pbannertext{display:flex;align-items:center;font-size:16px;font-weight:600;font-family:'Montserrat';} .Pbannertext img{height:20px;margin:0 6px} .Pbannerbutton a{display:flex;align-items:center;background-color:#fff;color:#ec1c40;text-decoration:none;font-weight:600;padding:4px 8px;border-radius:6px;font-size:15px;font-family:'Montserrat';} .Pbannerbutton img{height:20px;margin-right:6px} .Pbannerbutton a:hover{background-color:#f7f7f7} Add as a Reliable and Trusted News Source Add Now! (You can now subscribe to our ETMarkets WhatsApp channel) (You can now subscribe to our ETMarkets WhatsApp channel)

The Gujarat High Court has held that the Income Tax Department cannot retrospectively apply the expanded powers under Section 55A to reopen old property valuation disputes. The ruling offers clarity for taxpayers involved in legacy capital gains cases. View More

Millennial investor Todd Baldwin became a millionaire in his 30s by employing a combination of real estate and equity investment. Here's how he used the housing hacking strategy to gain rental income and invested it in index funds.  View More

Trump Media and Technology Group's new paid data service launched Aug. 1, selling faster access to top Truth Social posts from President Donald Trump and more. View More

In this articleDJTFollow your favorite stocksCREATE FREE ACCOUNT Cheng Xin | Getty Images News | Getty Images Trump Media and Technology Group's new paid data service launched on Aug. 1, providing faster access to Truth Social posts from President Donald Trump and other top accounts on the platform. "Truth API," the new application programming interface, is designed to give firms "a direct, licensed, real-time feed of the platform's most market-moving Truths," interim CEO Kevin McGurn said in a release announcing the launch.While not explicitly naming Trump, the president's @realDonaldTrump account is the largest on Truth Social by far, often posting his most consequential policy decisions there first, including updates on the war with Iran. As of Saturday, the account has 13 million followers. Trump's family is also the largest shareholder in Trump Media, the public company that operates Truth Social. The launch comes after Democratic Sens. Adam Schiff of California and Elizabeth Warren of Massachusetts took aim at the new service, urging the Securities and Exchange Commission on Wednesday to investigate whether the company is violating the law. "This appears to be an outrageous abuse of the President's office for his personal benefit that undermines everyday investors and the integrity of our markets, while enriching Wall Street and other wealthy insiders," they wrote in a letter to SEC chair Paul Atkins dated Tuesday.The SEC declined to comment on the letter to CNBC."Markets already move on Truth Social posts," Truth Media's McGurn wrote at the time of the announcement. "Truth API delivers a direct, licensed, real-time feed of the platform's most market-moving Truths while advancing our strategy to monetize proprietary assets through a high-margin, recurring revenue stream." Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.