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- AI Is Getting Messier, and This Software Stock Is Getting Paid to Clean It Up
AI Is Getting Messier, and This Software Stock Is Getting Paid to Clean It Up
One software name sits right in the middle of the AI sprawl, and the market still is not treating it like a must-own infrastructure stock.
The AI trade is widening again. It is no longer just about who builds the models or sells the loudest chips.
The better setups are the companies helping AI scale in the real world: more storage, more network protection, more observability, and better industrial chip exposure.
This group fits that shift perfectly, and one software name stands out because the product is becoming more important as AI systems get bigger, faster, and harder to manage.
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Automotive Tech
Google Is Turning Cars Into AI Devices With Gemini
Google (NASDAQ: GOOGL) is pushing Gemini into cars, and this is bigger than just a feature update.
The company is rolling out its AI assistant across vehicles with Google built in, replacing traditional voice systems with something far more conversational and capable.
The Car Becomes Another AI Interface
Gemini allows drivers to interact naturally, not just give instructions, but have ongoing conversations.
You can ask for a restaurant with specific preferences, check parking availability, respond to messages, and adjust the car, all in a single continuous interaction.
This pulls together Maps, messaging, media, and vehicle controls into a single AI layer. The interface disappears, and conversation takes over.
Google Is Expanding Its AI Surface Area
Google is not building one AI product; it is embedding Gemini everywhere: search, Chrome, phones, and now cars. Each new surface increases usage, data, and dependency on its ecosystem.
The key detail is that this is not limited to new vehicles. Existing cars can get it through updates, which massively expands reach overnight.
If this scales, the car becomes one more place where Google controls how users interact with technology, and that is exactly the point.
Streaming
Netflix Wants To Own Your Scroll, Not Just Your Screen Time
Netflix (NASDAQ: NFLX) is rolling out “Clips,” a vertical video feed built directly into its mobile app. At first glance, it looks like another TikTok-style feature.
In reality, it is Netflix rethinking how users find content in a world where attention spans are shrinking fast.
Instead of browsing titles, users scroll through short highlights from shows and movies, turning discovery into something fast, visual, and addictive.
Streaming Is Becoming A Feed
Netflix is moving away from static menus and into dynamic, personalized feeds. Clips act like a highlight reel, showing moments that hook you instantly and pushing you deeper into full content when something clicks.
It is not about copying social media; it is about borrowing the mechanics that keep users engaged. With vertical video becoming dominant across platforms, Netflix is aligning itself with how people already consume content on their phones.
Owning Attention Before The Watch Starts
The real battle is no longer just what you watch; it is what you choose to watch. By controlling discovery through a feed, Netflix increases engagement and reduces friction between interest and action.
If this works, Netflix does not just compete with other streamers. It starts competing with social platforms for attention. And that changes the game completely.
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Enterprise Software
IBM Is Moving Beyond Coding Assistants With ‘Bob’
IBM (NYSE: IBM) is pushing AI deeper into software development with a new tool called “IBM Bob,” and this is not just another coding assistant.
Bob is designed to handle the entire software lifecycle, from idea to deployment.
Instead of just helping developers write lines of code, it can test applications, fix issues, and prepare them for production. That shifts AI from being a helper to being part of the actual delivery pipeline.
AI Becomes The Software Layer
Most AI tools today focus on generating code. IBM is aiming higher, turning AI into a system that manages how software gets built, validated, and shipped.
Bob can choose between multiple AI models depending on the task, optimizing for speed, cost, or accuracy. It also includes built-in governance and security, which are critical for enterprise environments.
Enterprise AI Moves Into Execution Mode
IBM is not chasing hype here; it is targeting enterprise workflows.
With tens of thousands of internal users already testing it and strong productivity gains, the company is positioning itself in a space where reliability matters more than flash.
If this approach scales, software development shifts from writing code to managing systems that build it. And IBM wants to be the platform that runs that system.
Trivia: How much market cap did Snap lose in a single trading day in May 2022 after warning of slowing growth? |
Recent Tech Movers
STMicroelectronics (NYSE: STM)
The Recovery Story Stopped Looking Theoretical
STMicroelectronics is working because the market is finally seeing a real cyclical turn instead of waiting for one.
The company’s first-quarter results beat revenue expectations, its June-quarter revenue guide came in above consensus, and analysts responded by lifting targets and leaning harder into the recovery case.
STM also hit a fresh 52-week high on April 29, which tells you the market is treating this as a live rerating, not a dead-cat bounce.
The important point is not the headline high. It is the reason behind it.
AI demand is helping, microcontroller pricing is stabilizing, and investors are starting to price STM like a company moving into a stronger part of the cycle.
The Takeaway: Buy STM on any pullback. The recovery is underway, and the stock is acting like the market believes the next leg higher is real.
The Risk: The stock is extended, and any soft patch in follow-through demand would hit a name that has already rallied hard.
Seagate Technology (NASDAQ: STX)
This Is What Real AI Demand Looks Like
Seagate just gave the market one of the clearest AI-infrastructure signals of the week. The company crushed earnings, beat on revenue, raised guidance, and made it clear that hyperscale demand for storage remains strong.
The key part of the story is visibility: analysts pointed to capacity commitments reaching well into calendar 2027, and management tied the strength directly to AI-driven data creation and HDD demand.
This is not a side-effect story anymore. Storage is a direct beneficiary of the AI buildout, and Seagate just proved it with numbers, pricing power, and forward demand.
The Takeaway: Own Seagate. This is one of the cleanest second-wave AI infrastructure trades in the market right now.
The Risk: The stock has already had a massive run, so any slowdown in AI capex or disappointment in next-quarter execution will get punished quickly.
Cloudflare (NYSE: NET)
The Infrastructure Story Keeps Getting Stronger
Cloudflare is easy to dismiss as a high-multiple security stock. That misses the point.
The company keeps expanding deeper into network infrastructure, application security, and AI-adjacent traffic handling, and it heads into May 7 earnings with a June investor day already scheduled.
Vanguard also disclosed a stake above 5%, which does not change the thesis by itself but does reinforce that large holders still want exposure here.
The reason this one matters now is simple: Cloudflare is becoming harder to categorize as just one thing.
That usually helps a stock when the market starts rewarding broader infrastructure relevance over narrower product labels.
The Takeaway: Keep buying Cloudflare on dips. This is infrastructure first, and the market still underestimates how central that makes the business.
The Risk: Valuation remains the obvious pressure point. If growth commentary softens, the stock will not get much patience.
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The Long Pick: Datadog (NASDAQ: DDOG)
The Best AI Software Story in This Group Is Not Flashy
Datadog gets the long slot because it has the cleanest “why now” of the four. This is not a vague AI beneficiary. It is an observability platform that becomes more useful as AI systems become more complex.
The company reports on May 7, and the newest positive catalyst is specific: Wolfe Research said public evidence from OpenAI’s Codex repository strongly suggests Datadog is being used for tracing by the Codex engineering team.
That matters because Codex is one of the fastest-growing AI developer products in the market right now.
That is the heart of the story. AI systems do not just need compute. They need monitoring, tracing, debugging, performance visibility, and cost control.
As usage scales, those needs get more urgent, not less. Datadog sits directly in that lane.
Why This Setup Works
The market already understands Datadog as a high-quality cloud software company. What it is still underpricing is how much more valuable observability becomes when AI workloads move from experimentation into production.
More AI agents, more model calls, more developer activity, and more infrastructure complexity all point to the same conclusion: tracing and monitoring are now part of the AI stack, not a side tool.
That is why the OpenAI angle matters. It gives the story proof, not just theory.
If one of the fastest-scaling AI developer products is already leaning on Datadog, the market has a clearer benchmark for how relevant the platform can become.
What You Should Do With It
Buy Datadog before earnings.
This is the best software pick in the group because it combines a real AI usage signal, a familiar enterprise platform, and a product category that gets more important as AI systems get harder to run.
The stock does not need a new identity. It just needs investors to fully price the one it already has.
The Takeaway: Buy DDOG here. Observability is becoming core AI infrastructure, and this stock is positioned to benefit directly.
The Risk: The valuation is rich, so even a strong quarter can disappoint if guidance does not push the story forward.
Everything Else
📈 A free report names a handful of small companies showing early growth signals before the crowd and headlines arrive.
💾 Samsung’s first-quarter earnings are reinforcing just how strong AI memory-chip demand remains.
☁️ AWS earnings are back in focus as investors look for more proof that cloud demand is holding up.
💰 Anthropic is weighing a new funding round at a valuation of more than $900 billion, which would put it above OpenAI’s reported March valuation if completed.
💼 LinkedIn’s AI hiring agents are on track for about $450 million in annual revenue, showing how quickly enterprise AI tools are turning into meaningful businesses.
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