Latest news with #Inferentia
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Business Standard
10-07-2025
- Business
- Business Standard
Amazon mulls another multibillion-dollar investment in Anthropic
Ecommerce giant Amazon is reportedly considering a further multi-billion dollar investment in artificial intelligence firm Anthropic, The Financial Times reported today. This would expand upon the $8 billion already committed as of November last year. In November 2023, Amazon injected $4 billion into Anthropic, a rival to OpenAI, to capitalise on the fast-growing generative AI sector. This move doubled the tech giant's initial investment in the company. The potential new funding would help Amazon maintain its position as one of Anthropic's primary shareholders, outpacing Google, which has thus far invested over $3 billion. Race for AI supremacy Amazon is aiming to solidify its standing in AI innovation, following early advances made by competitors such as OpenAI and Google, particularly in the realm of consumer-facing AI models. As competition intensifies, firms are ramping up AI investments and employing novel strategies to secure top-tier AI talent. Meta has extended unusually large compensation packages to recruits for its 'superintelligence' team, including an offer worth over $200 million to Ruoming Pang, the former leader of Apple's AI division. As part of its strategic expansion, Amazon is constructing what will become its largest data centre complex near New Carlisle, Indiana, according to a report by The New York Times. Comprising approximately 30 facilities, the site will be filled with hundreds of thousands of specialised AI chips. Collectively, these centres are designed to function as a singular, powerful machine exclusively dedicated to artificial intelligence workloads. The site is expected to draw 2.2 gigawatts of electricity, sufficient to power one million homes. It has reportedly been purpose-built for a single client: Anthropic. This data centre cluster is the first of a new breed under Amazon's Project Rainier initiative, named after the prominent mountain near its Seattle headquarters. Project Rainier represents Amazon's foray into the tech industry's escalating race to build AI data infrastructure on a previously unimaginable scale. Anthropic to utilise Amazon's custom AI chips Anthropic intends to develop and run its foundational AI models using Amazon's proprietary Trainium and Inferentia processors. While Nvidia currently dominates the market for AI-specific chips and counts Amazon among its many hyperscale clients, Amazon is actively developing its own hardware through Annapurna Labs. Anthropic said it is working closely with the Annapurna team to assist in chip development. Amazon's deepening financial commitment to Anthropic highlights the wider trend of soaring investment in AI startups. Since the debut of OpenAI's ChatGPT in late 2022, interest in generative AI has skyrocketed, prompting investors to channel billions into companies aiming to lead the next phase of AI innovation.
Arabian Post
23-06-2025
- Business
- Arabian Post
Hyperscalers Form ASIC Coalition to Challenge NVIDIA Dominance
Cloud computing giants AWS, Google, Microsoft, Meta and OpenAI are accelerating in-house development of custom application‑specific integrated circuits, aiming to erode NVIDIA's dominance in high‑performance AI datacentres. Industry reports highlight a projected annual growth rate of around 50% for ASIC purchases by hyperscalers, marking a strategic pivot in the AI hardware landscape. NVIDIA's premium-priced solutions—including Blackwell GPUs—have placed pressure on hyperscalers to secure more cost‑efficient, scalable systems. With single GPUs ranging from $70,000 to $80,000 and fully configured servers tallying up to $3 million, these companies are betting on internal design to manage costs and supply risks. Amazon Web Services has notably moved ahead with its in‑house chips—Trainium for training and Inferentia for inference—reporting 30 – 40% greater cost efficiency compared with NVIDIA hardware. AWS is also collaborating with Marvell and Taiwan's Alchip on next‑generation Trainium versions. Internal indications suggest AWS may deploy as many as half‑a‑million ASIC units in its data centres, an expansive scale‑up that could rival NVIDIA's installed base. ADVERTISEMENT Google, meanwhile, has scaled its TPU v6 Trillium chips, transitioning from single‑supplier to dual‑supplier design by partnering with MediaTek. With deployments reportedly hitting 100,000‑unit clusters to support Gemini 2.0 workloads, Google claims competitive cost-performance metrics relative to NVIDIA GPUs. Microsoft's forthcoming Maia 200 chip, co‑designed with GUC using TSMC's 3 nm process, is scheduled for commercial release in 2026. Meta's Meta Training and Inference Accelerator, developed alongside Broadcom, Socionext and GUC, is expected in early 2026 on TSMC's 3 nm node, featuring HBM3e memory—another step towards self‑sufficiency in AI compute. OpenAI has also announced a proprietary training processor, with mass production anticipated at TSMC by 2026. Market projections reflect this tectonic shift. ASICs are poised to claim between $100 billion and $130 billion of custom AI accelerator spend by 2030, with Broadcom estimating a market of $60 billion to $90 billion by 2027. Traditional ASIC powerhouses—Broadcom, Marvell, MediaTek, Alchip and GUC—are experiencing surging demand as they support hyperscaler transitions. Despite these developments, hyperscalers continue to reserve capacity for NVIDIA chips, recognising the GPU giant's entrenched ecosystem—especially its CUDA software stack—and the steep technical barriers to immediate elimination of GPU dependencies. The trend resembles historical transitions in specialised compute. Just as cryptocurrency mining moved from GPUs to ASICs for lower costs and greater efficiency, hyperscalers now aim to fragment the AI compute supply chain and diversify their hardware portfolios. ADVERTISEMENT TSMC stands to benefit significantly, serving as the foundry for both NVIDIA's mass‑market GPUs and hyperscaler ASICs. Its chairman emphasises that the competition between NVIDIA and cloud‑designed chips is ultimately beneficial to TSMC, ensuring a broad customer base. Broadcom has emerged as a frontrunner, with its ASIC and networking chipset revenues soaring 220% to $12.2 billion in 2024. Hyperscalers are investing in clusters featuring up to one million custom XPUs over open‑Ethernet networks—an architecture that places Broadcom and Marvell in strategic positions. Networking ASICs are expected to account for 15–20% of AI data‑centre silicon budgets, rising from the 5–10% range. Revenue trends reflect these structural shifts. Marvell has secured a multi‑year AI chip deal with AWS and anticipates its AI silicon revenue jumping from $550 million in 2024 to over $2.5 billion in 2026. Broadcom, similarly, is redirecting significant investment toward hyperscaler ASIC demand. Nevertheless, NVIDIA retains a commanding lead in AI training and general‑purpose GPU compute. Its end‑to‑end platform—from hardware to software—remains deeply embedded in the AI ecosystem. Custom ASICs, by contrast, offer task‑specific gains but lack the breadth of software compatibility that NVIDIA enables. Analysts caution that the AI compute landscape is evolving toward a more fragmented, mixed‑architecture model combining GPUs and ASICs. Hyperscalers' shift signals strategic recognition of rising costs, supply constraints, and performance demands. Yet, they also underscore persistent obstacles: software ecosystem maturity, long development cycles, and the complexity of large‑scale deployment. Questions remain regarding the timeframe in which hyperscalers can meaningfully shift workloads away from NVIDIA GPUs. Industry roadmaps project new ASIC deployments through 2026–27. Analysts expect GPU market share erosion may begin toward the end of the decade, provided in-house ASICs deliver consistent performance and efficiency. The stage is set for a multi‑year contest in datacentre compute. NVIDIA faces increasing pressure from hyperscalers building bespoke chips to optimise workloads and control supply. The next evolution of AI infrastructure may look less like a GPU‑centric world and more like a diverse ecosystem of specialised, interlocking processors.
Yahoo
16-06-2025
- Business
- Yahoo
My 5 Favorite Stocks to Buy Right Now
Amazon is using artificial intelligence to improve efficiency and drive earnings growth. Meta Platforms and Pinterest are using AI to enhance user engagement and improve ad targeting. Dutch Bros and e.l.f. Beauty both have large potential expansion opportunities ahead of them. 10 stocks we like better than Amazon › With the market no longer being whipsawed around from tariff news, now can be a good time to add some attractive long-term growth stocks. Let's look at five of my favorites. An e-commerce and cloud computing leader, Amazon (NASDAQ: AMZN) has been incorporating artificial intelligence (AI) across its businesses to drive efficiency, expand margins, and fuel growth. Its cloud computing unit, Amazon Web Services (AWS), is both its largest business by profitability and its fastest-growing segment. The growth is being powered by customers using its solutions, like Bedrock and SageMaker, to create their own AI models and apps and then running them on its data center infrastructure. Meanwhile, its proprietary AI chips (Trainium and Inferentia) give it a cost and performance advantage. The company is investing heavily in new AI infrastructure to meet surging demand, and history shows that Amazon tends to spend big to win big. On the e-commerce side, Amazon is using AI a variety of ways to improve the efficiency of its warehouse and logistics operations and reduce costs. This includes such things as using AI to create better routes and maps, to developing AI-powered robots that can lift heavy objects and identify damaged items to reduce costly returns. It's also using AI in its sponsored ad business to better target potential buyers. Combined, these efforts have already been leading to strong operating leverage, but more gains should be in store. Despite the stock's rebound from its lows, Amazon still trades at a historically attractive valuation. While the company is not immune to consumer spending risks, given the strong AI tailwinds it is seeing, the stock looks like a buy at current levels. Like Amazon, Meta Platforms (NASDAQ: META) is also leveraging AI to help drive growth. By incorporating AI recommendations into Facebook and Instagram, Meta is increasing user engagement on its social media platforms. The increased amount of time users are spending on its platforms, meanwhile, is leading to more ad impressions. In addition, the company is using AI on the back-end to help advertisers create more attractive campaigns and better target potential customers. This is leading to better ad performance, which is helping drive up ad prices. These dynamics could be seen in Meta's Q1 results, with revenue jumping 16% year over year, driven by a 5% increase in ad impressions and a 10% rise in ad pricing. In addition to AI, Meta also has a big opportunity with its newest social platform: Threads. Meta has a strong history of building social media audiences and then later successfully monetizing them. Threads already has more than 350 million monthly active users and growing, and the company will begin to gradually look to serve ads on the platform in the coming years. While Meta is also exposed to economic and ad spending risks, the stock looks well-positioned to continue to be a long-term AI winner. Pinterest (NYSE: PINS) has undergone a real transformation under CEO Bill Ready. The online vision board company has leaned heavily into AI to make the platform more engaging and more shoppable -- and it's working. Monthly active users hit 570 million last quarter, up 10%, with international growth leading the way. More importantly, Pinterest is finally starting to better monetize these users, especially in the "rest of world" segment, where revenue jumped 49%, and average revenue per user (ARPU) surged 29%. This momentum is being driven by Pinterest's technology upgrades. The company has developed a multi-modal AI model trained on both images and text to better interpret user intent. This is driving more personalized recommendations, while its visual search feature lets users quickly find and shop for products they see in pinned content. On the back-end, its Performance+ platform uses AI and automation to simplify campaign setups, optimize bidding, and improve user targeting. It is still early in its rollout, but it should be a long-term growth driver. Like Amazon and Meta, Pinterest also is exposed to any ad market weakness. However, with a large, undermonetized use base, Pinterest has some strong upside potential from here. Turning to the beauty sector, e.l.f. Beauty (NYSE: ELF) built one of the fastest-growing cosmetics brands in the U.S. by disrupting the mass-market space with on-trend, affordable products and a savvy influencer-driven marketing strategy. While recent growth has moderated, the acquisition of Hailey Bieber's Rhode brand is a potential game changer that could reaccelerate momentum in a big way. Rhode is already a hit with younger consumers, generating $212 million in sales with just 10 products and minimal paid advertising. With e.l.f.'s deep retail relationships, like Target and Ulta Beauty, and Rhode also set to expand into Sephora later this year, e.l.f. has a huge opportunity to grow Rhode's distribution in the years ahead. Rhode also brings in a more affluent customer base and strengthens e.l.f.'s growing skincare presence, complementing last year's Naturium acquisition. While tariff risks remain, this is a company with a huge growth opportunity in front of it. Dutch Bros (NYSE: BROS) is one of the most compelling growth stories in the restaurant space. With just over 1,000 locations in 18 states, Dutch Bros has a long expansion runway ahead of it. It is targeting 2,029 stores by 2029, and believes it has a total market opportunity of 7,000 locations in the U.S. However, the Dutch Bros' story is about more than just unit growth. It's been posting strong same-store sales growth, including 4.7% last quarter. Even better, comparable-store sales at company-owned shops rose 6.9%. That's impressive execution in what was a tough consumer environment. Importantly, Dutch Bros has additional levers to improve its same-store sales with mobile ordering and food. Mobile ordering accounted for 11% of transactions last quarter. Meanwhile, food is less than 2% of sales today, versus 19% at Starbucks. The company has been testing more food items at a few locations with early success. While not immune from any economic weakness, the combination of store expansion, food, and mobile ordering makes the stock an attractive long-term buy. Before you buy stock in Amazon, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Amazon wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $653,702!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $870,207!* Now, it's worth noting Stock Advisor's total average return is 988% — a market-crushing outperformance compared to 172% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of June 9, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Geoffrey Seiler has positions in Pinterest and e.l.f. Beauty. The Motley Fool has positions in and recommends Amazon, Meta Platforms, Pinterest, Starbucks, Target, Ulta Beauty, and e.l.f. Beauty. The Motley Fool recommends Dutch Bros. The Motley Fool has a disclosure policy. My 5 Favorite Stocks to Buy Right Now was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
28-05-2025
- Business
- Yahoo
Amazon Just Sent a Massive Warning to Nvidia Investors
Amazon is one of Nvidia's biggest customers. The cloud computing giant recently made a new AI investment in one of Nvidia's biggest competitors. The market is primed for the smaller company to take up more real estate in data centers. 10 stocks we like better than Advanced Micro Devices › Nvidia (NASDAQ: NVDA) has seen its sales soar on the back of a few big customers spending heavily to outfit data centers with as many of the chipmaker's GPUs as they can buy. Its top three customers accounted for 34% of sales last year. Amazon (NASDAQ: AMZN) is likely one of those big customers. The cloud computing giant spent over $93 billion in capital expenditures over the last 122 months, primarily focused on building out data centers for artificial intelligence (AI). That number will climb above $100 billion this year. While there's a lot of overhead, including buildings, server racks, networking equipment, and more, a good chunk of that spending goes to Nvidia for its leading-edge GPUs. But Nvidia's chips aren't the only ones Amazon uses in its servers, and the company just sent a signal that a competitor could be taking up more space in its data centers this year. Amazon was caught flat-footed as generative AI took off in late 2022, but it's invested heavily to catch up with its competitors ever since. It made a $4 billion investment in Anthropic early last year, and it added another $4 billion in November. The most recent deal included a strategic partnership where Anthropic will use Amazon's custom silicon for large language model training and inference. Amazon's custom AI chips are designed in partnership with Marvell Technologies. Marvell also makes networking chips and other data center chips among a broader silicon portfolio. Amazon made a small equity investment in the company in late 2021 well before it chose the chipmaker for its custom Trainium and Inferentia chips. Amazon recently made another AI investment. Its first-quarter 13F filing with the SEC revealed a purchase of 822,234 shares of Advanced Micro Devices (NASDAQ: AMD). Those shares are worth about $90 million at today's price, which isn't a huge investment for a company generating tens of billions of dollars in free cash flow every quarter. However, that's still enough to make it Amazon's third-largest marketable equity holding in its portfolio. AMD is Nvidia's closest competitor when it comes to advanced GPUs. It's also the only company Intel has licensed to use its x86 CPU architecture, which is essential for Windows PCs and servers. The chipmaker is well positioned to gain market share on both fronts (GPUs and CPUs), and Amazon's equity investment could signal an acceleration in AMD's sales to the largest cloud computing company in the world. AMD CEO Lisa Su believes the AI accelerator market -- which includes GPUs and custom silicon solutions like Marvell's -- will grow at an average rate of 60% per year from 2025 through 2028 to reach $500 billion. While Nvidia will likely take the bulk of that spend, smaller companies are positioned to gain market share over that period with improved price performance. Not to mention, AMD and other chipmakers offer cloud providers a chance to diversify away from reliance on Nvidia, ensuring Nvidia's chip prices don't balloon out of control. Indeed, AMD recently struck a deal with Oracle to deploy a cluster of 30,000 AMD MI355X accelerators, which helped push AMD's data center segment revenue 57% higher year over year in the first quarter. AMD's existing data center partnerships for its EPYC CPUs with all the hyperscalers put it in a great position to expand those relationships with its Instinct GPUs. On top of the opportunity in GPUs, AMD has become a leading provider of CPUs for cloud computing. That can be attributed to Intel falling behind in technological capabilities relative to Taiwan Semiconductor Manufacturing, where AMD prints its chips. As a result, AMD can offer better price performance with its more power-efficient chips. With better CPUs and a competitive GPU lineup, AMD should continue to take up more and more real estate in the hyperscalers' data centers. Investors can buy AMD stock today for 27-times forward earnings. That's a premium to the overall market, but a discount relative to Nvidia, which trades closer to 32-times earnings. That said, Nvidia continues to grow faster than AMD thanks to its pricing power and scale, so it may deserve a premium to AMD. Amazon very likely bought shares at a better valuation than investors can get today, but its stake in AMD is a strong indication that the chipmaker is continuing to make progress in gaining market share. Given AMD's solid CPU business and the upside potential of gaining share in the fast-growing AI accelerator market, the stock looks less risky than Nvidia at its current price. Before you buy stock in Advanced Micro Devices, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Advanced Micro Devices wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $639,271!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $804,688!* Now, it's worth noting Stock Advisor's total average return is 957% — a market-crushing outperformance compared to 167% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 19, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Adam Levy has positions in Amazon and Taiwan Semiconductor Manufacturing. The Motley Fool has positions in and recommends Advanced Micro Devices, Amazon, Intel, Nvidia, Oracle, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Marvell Technology and recommends the following options: short May 2025 $30 calls on Intel. The Motley Fool has a disclosure policy. Amazon Just Sent a Massive Warning to Nvidia Investors was originally published by The Motley Fool Sign in to access your portfolio
Yahoo
22-05-2025
- Business
- Yahoo
Prediction: This Artificial Intelligence (AI) Stock Will Be Worth $5 Trillion in 5 Years
Artificial intelligence (AI) has become a core focus for Amazon's e-commerce and cloud infrastructure businesses in particular. In less than two years, Amazon's valuation has soared by nearly $1 trillion as AI-driven efficiencies are starting to become realized. Amazon's long-term growth prospects look strong, and a $5 trillion valuation by 2030 looks achievable. 10 stocks we like better than Amazon › Amazon (NASDAQ: AMZN) is best known for its e-commerce marketplace and Prime subscription service. While online shopping and fast shipping are indeed two of Amazon's major pillars, the company has been quietly building new opportunities in the area of artificial intelligence (AI). Let's explore what investments Amazon has made in AI over the last couple of years, and how they are reaping dividends for the company's growth. From there, I'll break down why AI is such a meaningful tailwind for the company and explain why I think Amazon is headed for a $5 trillion valuation over the next five years. Amazon has been investing aggressively in several different areas of AI. Chief among them is that the company has plowed a whopping $8 billion into generative AI start-up Anthropic. Anthropic is now an integral part of Amazon's cloud infrastructure business, Amazon Web Services (AWS) -- spurring a new period of accelerating revenue and operating margins. On top of that, Amazon has also been designing its own custom silicon chips -- dubbed Trainium and Inferentia. In theory, by using its own custom tech stack and moving away from a reliance on outside GPUs from Nvidia or Advanced Micro Devices, Amazon has the ability to enter new markets and generate significant cost synergies in the long run. Lastly, Amazon is also leading the charge in AI robotics -- outfitting many of its fulfillment centers with machines that are able to automate human-driven processes. This is yet another way Amazon is positioning itself to yield greater returns on its AI investments by making core parts of the business more efficient. Amazon and Anthropic initially announced their partnership on Sept. 25, 2023. Since that announcement, Amazon has added nearly $1 trillion in market capitalization (as of May 19). Admittedly, an increase of this magnitude in such a short time frame may suggest shares of Amazon are due for a pullback. While I wouldn't rule that out, I think the longer-term picture for Amazon remains bullish. During Amazon's first-quarter earnings call earlier this month, CEO Andy Jassy told investors that the company's "AI business right now is a multibillion-dollar annual run rate business that's growing triple-digit percentages year over year." He followed that up by saying, "as fast as we actually put the capacity in, it's being consumed." Jassy is essentially saying that demand for Amazon's AI services is so high that the company needs to quickly reinvest back into these operations in order to fulfill customer needs. These supply-demand dynamics aren't going to be solved in one quarter, but they are very good problems to have. The big picture is that customers can't get enough of Amazon's AI ecosystem, suggesting the business is in a strong position to scale over the coming years. The chart illustrates Wall Street's consensus revenue estimates for Amazon over the next couple of years. Between now and 2027, analysts expect Amazon to maintain 10% annual revenue growth. If I assume this rate does not change, Amazon would be on pace to generate $1.1 trillion in sales by 2030. As of this writing, Amazon's price-to-sales (P/S) ratio is 3.4 -- much lower than many of its "Magnificent Seven" peers. If Amazon maintains this P/S multiple, the company would be trading for a market cap of roughly $3.8 trillion by 2030. In order to reach a $5 trillion valuation, Amazon's P/S would need to expand to roughly 4.5, assuming a 10% annual growth rate. The way I think about Amazon's valuation dynamics is that the company has already added nearly $1 trillion in value, despite AI being an incredibly nascent part of the business right now. Over the next five years, I think Amazon's AI-inspired investments will start to become more obvious -- seen through accelerating revenue across different areas of the business, widening operating margins, and robust free cash flow growth. Should this come to fruition, I think Amazon could be in a position to witness either an increase in revenue above 10% annual growth, or an expansion in its multiples -- bringing it in line with other leading cloud and chip businesses such as Microsoft or Nvidia. To me, Amazon has multiple avenues to achieve a $5 trillion valuation by 2030. I think the stock is trading at attractive levels right now, and long-term investors may want to consider scooping up shares and holding on tight. Before you buy stock in Amazon, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Amazon wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $644,254!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $807,814!* Now, it's worth noting Stock Advisor's total average return is 962% — a market-crushing outperformance compared to 169% for the S&P 500. Don't miss out on the latest top 10 list, available when you join . See the 10 stocks » *Stock Advisor returns as of May 19, 2025 John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Adam Spatacco has positions in Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. Prediction: This Artificial Intelligence (AI) Stock Will Be Worth $5 Trillion in 5 Years was originally published by The Motley Fool Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
