HERD PICKS

#1 All_In

“You unlock value by de-conglomerating... there's just way less room for people to hide and I think that they could all be leaner more efficient operations.”

A potential DOJ-mandated breakup would eliminate the conglomerate discount and unlock massive shareholder value by allowing fast-growing, high-margin units like YouTube and Waymo to be properly valued on their own. Additionally, forcing a split would strip out bureaucratic bloat and result in leaner, more efficient standalone companies.

#2 a16z

“they're still really smart and good at making products and they have nine billion user a day products I bet it's going to be okay.”

Recent public relations missteps and market disgust regarding its Gemini image generator have created negative sentiment, but the core business is highly resilient. They retain elite product development capabilities and a massive structural moat with nine billion daily user interactions, giving them plenty of runway to correct near-term AI mistakes.

#3 Nikhil_Kamath

“The global critical mass that exists today for... YouTube is pretty tough to challenge.”

YouTube has achieved an enormous level of global critical mass and scale. This establishes a powerful competitive moat that makes it extremely difficult for any new challenger to disrupt its market dominance.

#4 Business_with_Brian

“I see a lot of upside with their AI pushed with Gemini and now with the quantum Computing”

Google has achieved a major breakthrough in drastically reducing quantum error rates via their new Willow chip, making the technology much more viable. Combined with the AI momentum from Gemini, the company has tremendous upside potential and will likely dominate as a cloud facilitator for quantum models.

#5 Alex_Kantrowitz

“Google had $24 billion of profit off $85 billion of Revenue... these numbers are still insane in terms of how profitable these companies are”

Google's underlying business is incredibly strong and highly profitable, generating $24 billion in profit off $85 billion in revenue. Additionally, their cloud division is hitting record milestones, recently surpassing its first $10 billion quarter.

#7 Invest_Like_The_Best

“I was pretty bearish Google like two years ago, but I'm like super bullish Google. They're waking up on every front.”

Google is successfully waking up across all fronts by aggressively investing in infrastructure, externalizing TPU sales, and integrating highly competitive AI models. Additionally, their vertically integrated TPU stack gives them the lowest cost of goods sold per token in the industry, positioning them to dominate both consumer and enterprise markets.

#9 Hard_Fork

“The idea that these companies are all going to come crashing down because they spent too much developing large language models is a fantasy.”

Alphabet is protected from the AI bubble bursting due to its giant cash reserves and lucrative core operations, which easily fund its ongoing multi-billion dollar AI investments. Panic over the company crashing due to excessive spending on large language models is unwarranted.

#10 The_Compound

“I'm not going to say, 'Hey, I'm not going to own Google because I'm worried about the EU.'... To me, it's more I'm going to own Google and I'm going to own the EU companies.”

While susceptible to European digital sovereignty regulations, Google's services are simply too deeply entrenched and important to be fully displaced. The company has a long history of successfully navigating EU regulations since 2004.

#1 All_In

“Nvidia's got a very strong position and I definitely I would recommend people not be short on Nvidia today.”

Nvidia holds a sharp, insurmountable lead in providing chips for AI training clusters, ensuring their momentum is sustainable for at least the next two years. While competition will eventually enter the inference market and challenge margins, the company's current structural advantage makes it highly dangerous to short the stock.

#2 a16z

“unprecedented demand they've been seeing from nation states... placing orders 12 to 36 months in advance to take delivery of gpus because if you don't get in front... it's over”

Nvidia is experiencing unprecedented structural demand driven by a new buyer class: nation-states racing to build their own sovereign AI data centers. This dynamic is providing massive backlog visibility, with governments forced to place GPU orders 12 to 36 months in advance just to secure their spot in line.

#4 Business_with_Brian

“q1 of next year should be Stellar with their blackw chips being fully pushed out into the market”

As the undisputed top developer of GPUs powering AI and machine learning, their market dominance remains intact despite a recent pullback. Any near-term weakness from the delayed rollout of their Blackwell chips presents a buying opportunity, as the eventual launch will drive massive growth next year.

#5 Alex_Kantrowitz

“Nvidia just has this Advantage between the actual chips themselves the software that's being used to train and the networking... it's just very difficult to dislodge them”

Nvidia is the primary beneficiary of massive AI infrastructure spending by big tech companies and the stock remains cheap relative to its earnings. Furthermore, they possess a massive structural moat built across their actual chips, training software, and server networking that makes them extremely difficult for competitors to dislodge.

#7 Invest_Like_The_Best

“Nvidia is the king. All of the gross profit is going to them today... makes by far the most gross profit in the industry and it's not even close.”

Nvidia captures the vast majority of gross profit in the AI value chain. The company strategically uses its massive balance sheet to fund startups and backstop clusters, effectively locking in future compute demand and ensuring venture capital flows directly into its revenue stream.

#8 bg2

“Because of the earnings growth of Nvidia the earnings multiple has been flat despite the fact that the stock is up nearly 10x.”

Nvidia's massive stock appreciation is fully supported by actual earnings growth, keeping its valuation multiple flat and distinguishing it from historical dot-com bubbles like Cisco. The ongoing AI demand is tracking along an S-curve that is expected to be significantly larger than current market estimates, acting as a sustained super-cycle rather than a short-term bubble.

#10 The_Compound

“None of this happens without Nvidia. The real winners are still here. It's still one or more Mag Seven names.”

Despite new international themes and global tech shifts, the broader artificial intelligence revolution still fundamentally relies on Nvidia's infrastructure. They remain an essential core holding because the global buildout cannot happen without them.

#1 All_In

“incredible businesses with cosos like Mark Zuckerberg and you get to own that cohort at a pretty cheap earnings multiple”

Despite already operating at a massive, trillion-dollar scale, the company continues to grow revenues in excess of 15%. Paired with strong founder-led management, it trades at an surprisingly cheap earnings multiple compared to its growth profile.

#2 a16z

“three billion people a day go spend 40 minutes on these sites and it's actually all those numbers are growing”

Despite periods of intense market pessimism, the platform possesses an incredibly sticky foundation with three billion daily users spending significant time on the sites, and those metrics continue to grow. Furthermore, the company has an unboundedly large future opportunity to integrate AI models like Llama into hardware devices such as Ray-Ban smart glasses, alongside their ongoing path to monetize Reels.

#4 Business_with_Brian

“They're consistent and they're healthy which is great to see but at the end of the day they're not the brightest star in the sky.”

Meta is viewed as a healthy, consistent compounder supported by strong operational cash flow and growing social media platforms. Brian notes their VR and AI initiatives are advancing faster than peers, though he tempers extreme growth expectations because its $1.5 trillion market cap restricts the likelihood of explosive multi-bagger returns.

#5 Alex_Kantrowitz

“meta basically went out there delivered great earnings results they've grown Revenue 20% over the last four quarters which is insane given how much money that they're making”

Meta is delivering incredibly strong financial results and firing on all cylinders, growing revenue by 20% despite heavy investments in AI infrastructure. Management's confidence is extremely high, and the core business is highly profitable regardless of broader macroeconomic sell-offs.

#7 Invest_Like_The_Best

“we feel like that's the most real life example at scale of commercializing a lot of the capabilities in core products today”

Meta is successfully commercializing AI capabilities within its core products at scale. While much of the AI application layer is still developing in the private markets, Meta serves as a rare, tangible example of a public company already generating real value from AI applications.

#10 The_Compound

“I would also argue that at 16 times fold earnings for Facebook... the rerating has sufficiently derisked these stocks.”

While the heavy AI investments are making the business more capital-intensive, the subsequent valuation multiple compression down to 16 times forward earnings has sufficiently de-risked the stock for investors with a multi-year horizon.

#1 All_In

“I do think that Microsoft will use the power of the bundle to systematically dominate enterprise software.”

Microsoft possesses a highly effective, decades-old playbook of bundling new applications into its ubiquitous software suites. By initially offering these cloned products for free, they systematically undermine competitors, lock in enterprise customers, and eventually raise bundle prices to drive continuous growth and market dominance.

#2 a16z

“Azure has a lot of trust in the Enterprise like all our customers they're all on huge Azure deployments and so they do trust Azure a lot.”

Azure holds a structural advantage and a strong competitive moat in enterprise AI adoption due to its established security infrastructure and deep trust with large institutions. Because major enterprises already rely on massive Azure deployments, it serves as the default, mandatory cloud choice for sensitive AI workloads, locking out immediate competition from newer models by Google or Anthropic.

#5 Alex_Kantrowitz

“GitHub with co-pilot might be the perfect company to implement generative AI because... there's libraries and libraries of code stored on your platform.”

GitHub is uniquely positioned to capitalize on generative AI because coding is a deterministic discipline with objective right answers, and the platform holds vast proprietary libraries of historical code that make training models highly effective.

#7 Invest_Like_The_Best

“Can I make PowerPoint the existing product way better with a co-pilot? Yeah, you probably can. And I think that's way more interesting.”

The integration of AI features into the company's ubiquitous legacy software suite represents a massive opportunity for total addressable market expansion. Enhancing core tools like PowerPoint with AI copilots makes the existing products significantly better and more valuable to the user base.

#10 The_Compound

“If you get an opportunity to get a great company, I will submit to you that Microsoft is... at a great price, you just leap into it.”

Despite near-term technical weakness and market concerns over the unproven ROI of its massive AI spending, the underlying business remains incredibly strong with over 20% earnings growth. Management has indicated that Azure demand outstrips supply and that every new increment of compute brought online is profitable, all supported by a net-cash balance sheet.

#1 All_In

“Amazon is going to have a massive year interesting as they continue to replace humans with robots.”

Jason Calacanis expects Amazon to have a massive year as they increasingly automate operations, noting that their self-driving unit Zoox is making progress and warehouse robots are driving bottom-line growth. Chamath Palihapitiya agrees with the bullish outlook but argues the real drivers will simply be AWS growth and improved free cash flow.

#2 a16z

“how many people used to subscribe to Amazon Prime and then like halfway along said this is terrible I'm out like nobody”

The business benefits from immense consumer inertia and loyalty, as virtually no one cancels their Prime subscriptions once habituated to the convenience. Additionally, core e-commerce still has significant secular runway left, with U.S. penetration in many categories still well below its ultimate ceiling.

#5 Alex_Kantrowitz

“they still grew 19% Amazon web services they turned in record profits”

While the stock sold off due to missing unofficial market expectations, the underlying business is still executing exceptionally well, with AWS growing at 19% and the company generating record overall profits.

#7 Invest_Like_The_Best

“From my perspective, the best ASIC team at any semiconductor company is actually the Amazon ASIC team.”

Amazon possesses the best ASIC design team of any semiconductor company, demonstrating early innovation with the Graviton CPU and Nitro. Their incoming Trainium 3 and Trainium 4 AI accelerators look highly competitive, despite Amazon's foundational AI models currently lagging the market.

#10 The_Compound

“Andrew Jassy saying that he has more demand than he can meet... spending for profitable compute... we don't even talk anymore about the ad business.”

Amazon's core AWS business is seeing unprecedented demand for compute that they can barely keep up with, and all of this new capacity is profitable. Furthermore, the company has successfully integrated a strategic partnership with Anthropic and built the third-largest advertising business in the world, which is currently being undervalued by the market.

#1 All_In

“I still think he's absolutely vital to all the Innovation that's going to come in the future from Tesla.”

Securing Elon Musk's compensation package is crucial for the company's valuation and trajectory, as his ongoing leadership is deemed absolutely vital to driving the next wave of product innovation. With the uncertainty of his departure removed, the company's long-term innovation pipeline is protected.

#2 a16z

“the guy who has the highest odds of fighting off the Chinese in the US Auto Market is of course Elon is being tortured to death by his own government”

Tesla represents America's best and most capable manufacturing dynamo with the highest odds of fending off the incoming wave of highly competitive Chinese EVs. However, the company's potential is actively being restricted by hostile domestic politicians, environmental reviews, and aggressive regulatory actions.

#10 The_Compound

“100%. I think they're working on a 10 million robot per year facility right now, which would be the biggest one by far.”

Tesla is uniquely positioned in the pole position to manufacture humanoid robots at scale. They are currently developing a facility capable of producing 10 million units annually, massively outpacing competitors who are only producing in the thousands.

#1 All_In

“agent force is the most exciting thing I have ever worked on in my career... the efficiency and productivity that we've been had with agent force is like nothing I have ever seen”

The company is positioned to capitalize on the AI transformation in enterprise software through its new 'Agentforce' platform. By leveraging an amalgamated data cloud and wiring up all customer touchpoints, Salesforce can deploy autonomous AI agents that resolve complex customer interactions with over 90% accuracy and almost no hallucinations, driving unprecedented efficiency and proactive revenue generation for enterprise clients.

#2 a16z

“The reason it's really sticky is the database on the back end... we haven't found the startup that's like got the killer idea for dethroning Salesforce.com yet.”

Despite having a clunky front-end user interface relying on uninteresting checklists and forms, Salesforce's deep backend database integration makes it incredibly sticky. Startups have consistently struggled to find a killer idea or business model disruption capable of dethroning this established system of record.

#1 All_In

“Today there's two companies that can make it, Hynix and Micron... High bandwidth memory is arguably more important than it ever was.”

As the AI market transitions toward inference and reasoning, demand for high-bandwidth memory is exploding. Micron operates in a tight oligopoly capable of producing HBM, positioning them perfectly to capture immense value.

#4 Business_with_Brian

“Micron, Samsung, and SK Hynix, which are all sold out in high bandwidth memory for years out.”

Micron is a major beneficiary of the exploding memory demand required to support AI GPUs. Their capacity for high-bandwidth memory is entirely sold out for years into the future.

#5 Alex_Kantrowitz

“If they're saying that this is here to stay... maybe that's actually a positive signal for the SanDisks and microns of the world.”

Memory manufacturers have finally achieved significant pricing power after surviving decades of consolidation and industry downturns. This structural shift allows them to command massive gross margins (nearly 85%), marking a lasting positive trend for the business.

#7 Invest_Like_The_Best

“I do think inference spend monotonically increases... The boys in Boise don't love huge capex for cyclical. They've been burned on that many times.”

Pushing back on market fears that memory stocks are at a cyclical peak, Neil argues that AI token usage is immediately consumed and inference spending will monotonically increase rather than collapse. Furthermore, memory producers maintain strict capex discipline after past cyclical downturns, ensuring HBM supply remains structurally constrained and pricing remains firm.

#10 The_Compound

“Micron trades at four and a half times next year's earnings and is growing like 100% and there's a shortage as far I can see in their core product”

Micron is currently trading at an extremely depressed forward multiple despite experiencing massive earnings growth. The company has a significant shortage in its core product, giving them tremendous pricing power and driving exponential free cash flow generation.

#1 All_In

“Because these technologies are really complex and if you can innovate and you have differentiated data, you can build an advantage.”

AppLovin has established a leading position in the $50 billion mobile gaming ad ecosystem through advanced deep learning recommendation algorithms that provide direct ROI and arbitrage for advertisers. The business operates with industry-leading 84% EBITDA margins protected by high barriers to entry, complex technology, and differentiated training data. Additionally, the company is successfully leveraging its AI infrastructure to expand beyond mobile gaming into broader e-commerce discovery advertising.

#4 Business_with_Brian

“I'm guessing that Q4 is probably going to be Stellar for them due to the simple fact that in the basics of marketing everyone starts spending in Q4”

The company has successfully optimized its revenue and margins over recent earnings reports. Additionally, the standard seasonal increase in marketing spend during Q4 is expected to drive stellar earnings and provide strong momentum heading into 2025.

#10 The_Compound

“All of a sudden they're entering the e-commerce market to sell goods and it helps them monetize their inventory significantly... keeping his headcount flat... just a cash generation.”

AppLovin is heavily monetizing its 50% market share in mobile game advertising by successfully utilizing AI engines to cross-sell e-commerce physical goods. The founder-CEO is running a highly efficient operation, focusing purely on cash generation and keeping headcount flat despite strong top-line growth.

#1 All_In

“I have shares in the company I think it's a good investment.”

The company is a strong investment because it successfully secures highly embedded contracts selling its software and services to government defense and intelligence agencies.

#4 Business_with_Brian

“once they pushed into commercial they'd begin to make a major profit and that's exactly what happened”

The company has successfully expanded into the commercial sector, driving major profitability through localized AI models that provide massive enterprise cost savings. While their marketing and deployment strategies need refinement, a recent Microsoft partnership will provide significant fundamental momentum.

#10 The_Compound

“They're like the shepherd that is basically having everyone cross the chasm with them.”

Palantir is structurally insulated from the broad SaaS selloff because it acts as a critical deployment layer for AI. They are effectively guiding enterprise customers across the AI chasm, rendering them indispensable.

#1 All_In

“Who will this benefit? It will benefit the hyperscalers, specifically Oracle, Amazon, Meta, Microsoft, and Google.”

Because the entire AI industry is bottlenecked by power constraints and grid infrastructure delays, hyperscalers like Oracle possess an immense structural advantage. Their existing access to compute capacity will allow them to extract equity and control from desperate AI model builders in exchange for computing power.

#4 Business_with_Brian

“Oracle is spending against a backlog of signed contracts that grew 363% in a single year to $638 billion.”

Oracle is thriving by acting as a neutral cloud provider for AI training, offering a faster and cheaper alternative to its larger tech rivals. While heavy capital expenditures have temporarily pushed free cash flow negative, this build-out is fully backed by an enormous contract backlog that guarantees massive future revenue growth.

#10 The_Compound

“Nobody believes that OpenAI can pay them that contract... but OpenAI just raised $110 billion... there's enough here that earnings should flow through to Oracle.”

The stock has been heavily discounted due to market fears that OpenAI will not be able to pay its massive computing contracts. However, following OpenAI's recent massive fundraising, it is highly likely those obligations will be met, allowing substantial earnings to flow directly through to Oracle.

#1 All_In

“Today in the stock market... you could purchase this company at a $25 billion enterprise value. The replacement cost is 45 billion.”

Power demand is entering a massive supercycle driven by power-intensive AI data centers, creating long-term structural supply shortages. Talen owns highly valuable nuclear and natural gas base load power assets trading at a steep discount to their replacement cost, positioning them to either generate huge free cash flow on existing operations or secure highly lucrative, long-term power purchase agreements (PPAs) with hyperscalers.

#4 Business_with_Brian

“it's the cleanest pure nuclear operator in the anchor list after their 2023 divestitures.”

The company successfully emerged from bankruptcy to become a clean, pure-play nuclear operator. It has substantial growth potential driven by its anchor power deal with Amazon, provided pending litigation resolves in its favor.

#1 All_In

“Bloom has a solution that allows you to use NAT gas... and critically allows you to get your clean air permits very quickly.”

As the AI industry hits massive power constraints and faces political backlash over grid usage, Bloom offers an immediate, on-site natural gas power solution. Their low-emission technology allows data center builders to bypass grid delays and secure clean air permits very quickly.

#4 Business_with_Brian

“They're the only public pure play on behind-the-meter power generation for data centers in the entire market.”

Bloom is the sole public pure-play for behind-the-meter data center power generation, allowing facilities to bypass utility grid delays. This unique capability has driven immense top-line growth and secured massive contracted backlogs with major players like Oracle.

#1 All_In

“I think this means that apple is going to win the AI consumer... having all this local data is a huge huge Advantage.”

Apple is uniquely positioned to win the AI consumer market by leveraging its massive local data advantage (messages, calendars, photos, wallet) to build a deeply integrated AI assistant. As AI becomes tightly coupled with the operating system, hardware devices will shift from being simple app portals to capturing significantly more intrinsic value.

#5 Alex_Kantrowitz

“in the end it's cash flows and earnings... $200 billion cash horde with which they can pursue $300 billion worth of BuyBacks off the cash flow alone”

Despite hardware flops like the Vision Pro and a lukewarm initial AI rollout, the company's fundamental strength lies in its unmatched cash flows and resilient Services business. They hold a massive cash hoard that allows them to aggressively buy back stock and buy time until they perfect new technologies.

#9 Hard_Fork

“They will just take privacy more seriously than Meta does. And also be like it's not going to be stigmatized in the same way.”

Apple holds a massive competitive advantage in the future consumer wearables space due to its pristine reputation for user privacy. Unlike Meta, an Apple smart glass product would bypass severe social stigma because consumers inherently trust the brand's privacy standards.

#10 The_Compound

“Apple's collecting a $900 million commission on that activity. They are literally... in the pole position to be the biggest beneficiary of all this AI.”

Apple is positioned to be the stealth winner of the AI boom without carrying the massive CapEx burden of its peers. The company essentially collects a lucrative "app store tax" on third-party generative AI apps and secured a massive deal to integrate Gemini, leveraging its dominant position as a device maker.

#1 All_In

“Intel is starting to be a real foundry. Okay, that's real progress... getting back to the core of technology to me that was the fundamental thing.”

After years of strategic drift under business-focused management and underinvestment in new factories, the company is returning to its technical roots and successfully transitioning into a foundry model. Supported by the CHIPS Act, they are actively making progress in expanding onshore manufacturing to rival competitors.

#7 Invest_Like_The_Best

“Intel has all these empty fabs and eventually given the shortages we have of compute those fabs are going to be filled.”

Despite past struggles, former leadership put Intel on the only strategy capable of yielding long-term success. Because the market has massive, unsatisfied compute shortages and TSMC is throttling capacity, Intel's empty fabs are functionally guaranteed to be filled with demand eventually.

#10 The_Compound

“They finally have like a visionary guy that everyone around the world and in Silicon Valley and in the White House respects and they are figuring it out.”

Intel is executing a massive, breakneck turnaround under a highly respected new CEO who quickly slashed operating costs. The company successfully refocused on restoring its US foundry business-winning major multibillion-dollar deals with AWS and Google-and is rapidly establishing relevance in AI through key partnerships.

#1 All_In

“I have to tell you, we've been super impressed with the progress... the main thing that we look at is yields... I would say it's equivalent between what we get in Taiwan.”

TSMC is proving it can successfully onshore leading-edge manufacturing to the United States despite early skepticism. While operating in Arizona carries a low double-digit cost premium, their production yields are already matching their established Taiwan facilities, proving they can replicate their successful manufacturing formula globally.

#7 Invest_Like_The_Best

“people are like oh you can't invest in TSMC because geopolitical risk and it's like no dude you can't invest in [ __ ] Apple.”

TSMC is executing the most critical innovation in global hardware at the bleeding edge. Furthermore, the consensus discount applied to its stock due to geopolitical risks is irrational, as any disruption in Taiwan would instantly collapse the global economy and wipe out "safe" domestic stocks equally.

#10 The_Compound

“The amount of technology in these places is to an extreme level that there's a reason why there's only one Taiwan semi. You can't just bring supply to the market.”

The extreme technological complexity and massive capital requirements needed to build semiconductor fabs create an almost insurmountable moat. Competitors cannot easily bring new supply online, locking in TSMC's dominance and allowing profit margins to skyrocket amid structural shortages.

#1 All_In

“The forecasts were too conservative in terms of where you guys are at with tepati so I wouldn't be surprised if you did [hit the $32 billion projection].”

Eli Lilly's near-term operating income could vastly exceed current 2026 Wall Street estimates because tirzepatide (Mounjaro/Zepbound) adoption is blowing past even the company's internal conservative forecasts. To sustain long-term growth beyond current drug patent cliffs, the company is using its massive GLP-1 cash flow to aggressively invest in next-generation treatments, including scalable oral GLP-1s, genetic medicines, and siRNA therapies.

#7 Invest_Like_The_Best

“What Lily is going to probably show later on this year... getting at those plaques earlier... is going to show dramatic effects on protecting us from developing Alzheimer's.”

Lilly is structurally well-positioned thanks to its direct-to-consumer digital channel (LillyDirect) which bypasses traditional pharmaceutical sales friction to capture consumer demand. Additionally, the company is expected to release compelling data showing that their anti-amyloid medicines have a dramatic protective effect against Alzheimer's if administered early.

#10 The_Compound

“Phase three obesity trial just came out and the results are genuinely insane... This is bariatric surgery territory. Unreal.”

The phase three clinical trial data for Retatrutide demonstrates astonishing weight loss efficacy, delivering results that essentially rival bariatric surgery. This medical breakthrough represents an enormous commercial opportunity that will drastically reduce downstream health costs like heart disease.

#1 All_In

“on average, each employee is going to have about 90 agents they control. So we're going to have protection and visibility across all of those agents... a massive TAM opportunity”

The rapid proliferation of autonomous enterprise AI agents is creating a massive new total addressable market for cybersecurity. As employees begin deploying and controlling dozens of AI agents capable of writing code or accessing infrastructure, CrowdStrike is uniquely positioned to capitalize on this expanding attack surface by providing the necessary AI detection, visibility, and response capabilities.

#10 The_Compound

“I don't think there's going to be 15 publicly traded cyber security companies because... eventually everyone coalesces around two or three platforms.”

The company is exhibiting exceptional fundamental growth, recently hitting a massive $5 billion annual recurring revenue milestone. Furthermore, long-term industry tailwinds will strongly benefit them as enterprise customers actively look to consolidate their cybersecurity needs around just two or three dominant platforms, rather than juggling multiple distinct vendors.

#1 All_In

“We are going to need 10 times the data stored in enterprise than we have today for the next three years.”

Enterprise data storage needs will increase tenfold over the next three years to support AI workloads, creating massive structural demand for core data infrastructure providers.

#10 The_Compound

“You can do all the AI you want right here in the data warehouse. You don't need to fragmentation. You don't need to move data... everything can take place here.”

Snowflake is rapidly evolving into a critical piece of enterprise AI infrastructure rather than just a traditional software company. By allowing thousands of enterprise customers to run various AI models directly within their existing data warehouses, Snowflake eliminates the need for data fragmentation and data movement, making it the ground zero for corporate AI workflows.

#1 All_In

“We just see a lot more demand than supply. And it's happening not just in the hyperscalers... it's happening in 4,000 enterprises.”

The company is experiencing unprecedented demand for its AI infrastructure and server solutions, with that segment's revenue scaling exponentially toward an expected $50 billion this year. Growth is being driven not just by hyperscalers, but by thousands of enterprises rushing to build out localized AI factories, resulting in infrastructure revenue growth guidance of 100%.

#10 The_Compound

“In the short term? Yes... what are they spending all their money on? Well, you just had them all in the chart.”

As hyperscalers and major software companies borrow heavily to build out their AI data center infrastructure, hardware providers are capturing that immense capital outlay. The company is positioned as a direct "picks and shovels" beneficiary of this massive spending wave.