This Data Warehouse Stock Gets Paid When AI Gets Messy

Author

Noah Zelvis
February 24, 2026

AI is not making companies simpler. It is making them louder, spikier, and way more chaotic.

More apps, more logs, more dashboards, and more arguments about why two teams have two different truths.

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Data Center

Meta Just Signed A $100B Chip Deal With AMD

Meta Platforms (NASDAQ: META) has agreed to purchase up to $100 billion in AMD chips in a multiyear deal covering the MI540 series GPUs and the latest-generation CPUs.

The agreement is large enough to support roughly 6 gigawatts of data center power demand, a staggering figure that puts it among the largest semiconductor commitments ever made.

CPUs Are The Quiet Winner Of The AI Boom

The deal is not just about GPUs. CPUs are becoming a core pillar of AI inference because they are efficient, easier to scale, and reduce dependency on any single chipmaker.

Meta is betting that as agentic AI and inference workloads grow, a diversified compute stack outperforms an Nvidia-only approach.

Meta also recently signed a multiyear deal to expand its data centers with Nvidia hardware, and it is developing in-house chips that have reportedly hit delays.

This AMD agreement fills the gap and hedges every direction at once.

Meta's Spending Spree Has No Ceiling

Meta has pledged over $600 billion in U.S. data center and AI infrastructure investment, with $135 billion in capital expenditure projected for 2026 alone.

A $10 billion gas-powered data center campus in Indiana is already under construction.

For AMD, this deal changes the competitive narrative overnight. For Meta, it is another massive bet that owning diversified compute at scale is the only path to what it calls personal superintelligence.

Ride-Hailing

Uber Sold Its Self-Driving Unit — Now It Wants To Manage Yours

Uber (NYSE: UBER) has launched Uber Autonomous Solutions, a dedicated division designed to handle every operational layer of running a robotaxi, self-driving truck, or delivery robot business.

That includes demand generation, fleet management, customer support, insurance, remote assistance, and even training data collection.

The company is using specially equipped Lucid vehicles to gather mapping and driving data, which is shared with AV partners to train their systems.

Uber plans to help partners scale robotaxi deployments to more than 15 cities by the end of this year.

Two Dozen Partners And Counting

Uber has built relationships with nearly two dozen autonomous vehicle companies spanning robotaxis, trucking, sidewalk bots, and drones.

Partners include Waymo, Waabi, Nuro, WeRide, Motional, AVride, and Volkswagen, among others.

The company has also invested $100 million in AV charging infrastructure and launched Uber AV Labs for engineering support.

A robotaxi service with Volkswagen in Los Angeles is planned for late 2026, with fully driverless rides expected by 2027.

Uber and Waymo already share a robotaxi service in Atlanta and Austin.

This Is An Existential Bet Dressed As A Platform Play

Uber sold its in-house self-driving unit to Aurora in 2020 after years of setbacks, including a fatal crash.

It cannot build the technology anymore, so it is betting on becoming the operational layer that every AV company needs to commercialize.

If autonomous vehicles eventually replace human drivers, Uber wants to be the one running the backend.

The alternative is watching its core business get disrupted by the companies it is now trying to serve.

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Consumer Tech

Spotify Turns Prompts Into Playlists For Premium Users

Spotify (NYSE: SPOT) is expanding its Prompted Playlist feature to Premium subscribers in the U.K., Ireland, Australia, and Sweden, following its launch in the U.S. and Canada.

The system draws on listening history and current music trends, and each track includes a short explanation of why it was selected.

Users can refine prompts, start over, or schedule automatic daily or weekly refreshes to keep playlists evolving.

The Prompts Can Get Surprisingly Specific

Users are not limited to simple genre requests.

Prompts can reference musical eras, instruments, lyrics, TV shows, personal milestones, or even request a mix of discoveries and library favorites.

The feature is still in beta with usage caps of around 20 to 30 prompts.

Prompted Playlists sit alongside other recent AI additions, such as Page Match for audiobooks and About the Song for track context.

Spotify also updated its lyrics feature with global translations and offline access.

AI Is Becoming Spotify's Core Product Layer

This is not a one-off experiment.

Spotify has been weaving AI across the entire platform, and leadership has said its best developers have not written a line of code since December, thanks to AI tooling.

The company is also pushing into physical book sales through its app and recently partnered with SeatGeek to surface concert tickets directly on artist pages.

Spotify is expanding what a music app can be, and AI is the engine behind every move.

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Recent Tech Movers

HashiCorp (NASDAQ: HCP)
Blueprints For Modern IT
HashiCorp is the adult in the room for infrastructure, the one that tries to keep cloud builds from turning into a spaghetti dinner.

As companies rebuild stacks for hybrid environments and AI workloads, they need cleaner ways to deploy and manage systems without making every update a high-stress group project.

How to play it: Think of this as a slow-and-steady adoption story. If the market mood turns optimistic, infrastructure names can rerate quickly.

If risk appetite fades, wait for better entries because this one can trade like a confidence indicator.

Tenable (NASDAQ: TENB)
Finding Weak Spots Before Hackers Do
Tenable lives in the world of vulnerability sprawl. More devices, more cloud services, more AI agents, and more third-party tools means more places for problems to hide.

That makes exposure management feel less like a nice add-on and more like a survival habit. No one wants to be the person explaining to the board how an overlooked system turned into a headline.

How to play it: The long-term case is that attack surfaces keep expanding. The near-term risk is budget caution.

Watch for signs that customers keep consolidating security tooling and that deal flow stays healthy.

New Relic (NYSE: NEWR)
Your App’s Lie Detector
New Relic is built for the moment when a company says the site is fine and the site immediately disagrees.

As software stacks become more complex, observability helps teams spot what broke, where it broke, and how fast they can fix it before customers notice.

AI adds even more weird traffic patterns, more automation, and more ways for systems to fail in creative new formats.

How to play it: Monitoring tends to stay sticky because the pain of not having it is obvious. Look for momentum in adoption and customer expansion.

If companies are simplifying vendor stacks, that trend can become a tailwind.

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The Raw Material Play For AI

Snowflake (NYSE: SNOW)
The Cloud Data Warehouse That Keeps Charging Rent

Snowflake has spent time in the market’s doghouse because expectations ran ahead of execution. But the underlying story remains straightforward.

If data is the raw material for AI and analytics, the platforms that store it, organize it, and make it usable should remain relevant even when sentiment swings.

The AI boom is basically a factory that produces two outputs: smarter software and messier data.

Every new AI feature generates more logs, more customer signals, more event streams, and more questions about what is real.

Someone has to store the chaos, clean it up, and make it usable across the business.

Snowflake sits right in that lane, acting like the warehouse where the messy stuff becomes something teams can actually work with.

This is also why the stock moves so much.

The market constantly tries to decide whether Snowflake is a durable long-term compounder or a pricey data utility that grows in bursts and slows when customers optimize spending.

Scorecard You Can Use

  • AI increases data volume: More AI tools usually means more data created and more demand for data access.

  • Usage-based economics: When customers run more workloads, spending rises. When they optimize, growth can cool fast.

  • High switching friction: Once a company builds workflows around a data platform, ripping it out is painful and expensive.

  • Sentiment sensitivity: This stock responds quickly to any signal about enterprise spending or consumption trends.

Why The Tape Cares

Snowflake is a read-through on enterprise data budgets. When companies ramp AI projects, they need data pipelines and storage that can keep up.

When budgets tighten, consumption-based models can feel it sooner because customers can slow usage without fully leaving.

That is why the stock can sell off on softer usage signals even if the long-term demand for data infrastructure keeps growing.

What Could Spook It

  • Optimization cycles: Customers tuning costs can pressure near-term growth and rattle investors.

  • Heavy competition: Big cloud providers push bundled offerings and price pressure is always lurking.

  • Execution expectations: Investors want clean, predictable progress. Any wobble gets amplified.

What To Watch Next

  • Usage trends: Are customers expanding workloads or staying flat?

  • Large deal momentum: Big enterprise wins and deeper deployments matter more than hype.

  • AI workload signals: Any evidence that AI projects are driving incremental demand is a catalyst.

  • Margin discipline: The market rewards proof that growth can improve without runaway spending.

Actionable Take

  • Builders: Treat it like a core data infrastructure bet. Add on pullbacks, but size it so you can sit through volatility without panic-selling the bottom.

  • Traders: This one swings on sentiment. Look for technical levels and event-driven setups, and keep risk tight because it can move fast in both directions.

Bottom Line:
If AI keeps turning businesses into data factories, the warehouse owner stays busy. Snowflake is not the flashiest AI headline, but it is one of the cleaner ways to monetize the mess.

Everything Else

  • 🚕 New York just hit the brakes on robo-taxis, with Hochul pulling the plug on an expansion plan because apparently the future still needs a permit.

  • 🛡️ Fresh Pentagon cyber rules are raising the bar, and some smaller contractors may get bounced at the door by the new security checklist like it’s a bouncer with a clipboard.

  • 💸 OpenAI is redoing the math on its AI spending spree, still eyeing a very spicy 2030 price tag that makes normal capex look like pocket change.

  • 🇮🇳 India’s AI summit turned into a hype-heavy check-writing festival, with tech giants teasing big investments like it’s an IPO roadshow for an entire country.

  • 🧠 The U.S. wants a “Tech Corps” style push to help India build a sovereign AI stack, basically exporting AI know-how with a passport stamp and a geopolitical wink.

That's our coverage for today; thanks for reading! Reply to this email with feedback or any tech stocks you want me to check out.

Best Regards,
—Noah Zelvis
Tech Stock Insider