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The Old Software Story the Market Mispriced Is Getting a Second Look
This setup is not about hype. It is about a neglected enterprise name with a real use case and a cleaner path higher.
One overlooked software stock is moving back into focus for the right reason. The product story just got more relevant, the category matters again, and the market still has not fully repriced it.
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AI Integration
The Browser Is No Longer Just for Browsing
Google (NASDAQ: GOOGL) is expanding Gemini inside Chrome to multiple new countries, and this is more than a feature rollout.
It shows how serious the company is about turning its browser into an active assistant rather than a passive tool.
Chrome is no longer just where you open websites; it is becoming where you get things done.
The Browser Is Becoming the Interface
Gemini now works across tabs, apps, and services, pulling in information from Gmail, Calendar, Maps, and more. That turns Chrome into a central hub where different parts of Google’s ecosystem come together in one place.
The deeper Gemini integrates, the harder it becomes to leave that environment. Every added feature increases the dependency on Google’s tools, strengthening its long-term position.
This is not just convenience; it is ecosystem control done quietly and effectively.
The Bigger Shift Is Still Coming
The more advanced features, like letting AI take actions on your behalf, are still limited. Once those expand, Chrome moves from assistant to operator, handling tasks instead of just suggesting them.
That is when the experience shifts completely, and Google’s browser becomes something far more powerful than it used to be.
Autonomous Vehicles
Tesla Expands Robotaxis, But The Real Story Is The Software
Tesla (NASDAQ: TSLA) has expanded its robotaxi service to Dallas and Houston, adding to its existing operations in Austin.
On the surface, it looks like a geographic expansion. In reality, it is a scaling test for Tesla's self-driving system in live environments.
The company is running vehicles without visible human drivers in some cases, which suggests growing confidence in its autonomy stack.
But the fleet size is still small, indicating controlled growth, not full deployment.
Autonomy Is Being Trained In Public
Tesla's approach differs from its competitors'. Instead of waiting for perfect systems, it is refining its AI through real-world usage.
Every mile driven feeds data back into its models. Every edge case becomes training material. That means expansion is not just about coverage; it is about learning faster than anyone else.
Scaling Before The Industry Settles
Tesla is pushing ahead while the rest of the industry is still debating safety models and deployment timelines.
By entering new cities early, even with limited fleets, it is positioning itself as a first mover in real-world autonomy.
If this approach works, Tesla will not just have the technology; it will also have the data advantage, which is much harder to replicate.
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Cloud Computing
Amazon and Anthropic are building a $100B AI Machine
Amazon (NASDAQ: AMZN) is investing up to $25 billion more into Anthropic, but the real story is not the investment. It is the cloud commitment behind it.
Anthropic plans to spend over $100 billion on Amazon’s infrastructure over the next decade. That turns this into one of the largest AI capacity deals ever.
Custom Chips Become The Differentiator
Amazon is pushing its own AI chips, Trainium2 and Trainium3, as part of the deal.
Anthropic is expected to place significant compute demand on this stack, potentially scaling to multiple gigawatts of capacity. That is the kind of workload that defines winners in AI infrastructure.
Instead of relying on third-party chips, Amazon is trying to prove its own silicon can compete at scale.
The Quiet Strategy Behind The AI Race
Amazon has not led the conversation in AI models, but it does not need to. By locking in major AI players like Anthropic, it ensures that, regardless of who wins the model race, Amazon wins the infrastructure race.
If AI demand keeps exploding, controlling the pipes may matter more than controlling the product.
Trivia: How much did Microsoft pay to acquire LinkedIn in 2016? |
Recent Tech Movers
Fastly (NYSE: FSLY)
A Turnaround With an Actual Trigger
Fastly stopped being just a broken edge-computing story when AI traffic, bot management, and larger customer deals started showing up in the business again.
Management tied recent momentum to those areas, and the company’s latest updates also show it is leaning harder into protecting customer content as AI crawlers scale.
That gives the stock a real operating story instead of a vague comeback narrative.
Fastly still trades like a name investors do not fully trust, which is exactly why it stays interesting. When a turnaround is real but belief is still thin, the upside can come fast if the next report confirms the trend.
The Takeaway:
Buy it only if you want a turnaround trade with momentum behind it. Do not treat it like a core long-term holding yet.
The Risk:
If the next quarter shows the AI and security lift was temporary, this stock gets hit hard.
Dynatrace (NYSE: DT)
This Is What a Real AI Utility Looks Like
Dynatrace has one of the cleanest enterprise AI setups in software because it is not selling a toy. It is helping companies monitor, diagnose, and manage more complex systems as AI agents spread through the stack.
The company pushed that story further in March with its Postman partnership and then added another layer in April by agreeing to acquire Bindplane to strengthen telemetry pipelines for AI and cloud-native observability.
That matters because observability becomes more important as systems get more autonomous. This is not speculative AI exposure.
It is infrastructure software tied to a problem that is getting bigger.
The Takeaway:
Own it. This is one of the stronger enterprise software names in the market and belongs on a buy list for pullbacks.
The Risk:
If enterprise customers delay broader platform rollouts, the stock can stall even while the product story stays strong.
Dropbox (NASDAQ: DBX)
The Market Still Thinks This Is Just Storage
Dropbox keeps getting treated like a file-sharing leftover, even as management pushes harder into AI-assisted search and workflow tools. Dash is the part that matters here.
The company is trying to turn search, context, and knowledge retrieval into the reason customers stay engaged, and it just set its next earnings date for May 7, which gives the stock a clean near-term checkpoint.
This story is still a credibility test.
Dropbox has to prove these tools change how customers use the platform, not just how management describes it. But that is also why the setup is better than the reputation.
The Takeaway:
Keep it on the watchlist, not in the front seat. Wait for proof that Dash is changing the growth story before getting aggressive.
The Risk:
If AI features fail to drive engagement or retention, the stock stays stuck in value-trap territory.
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That gives everyday Americans a small window to get positioned before Wall Street insiders gobble up all the profits.
The Long Pick: Teradata (NYSE: TDC)
The Story Changed, but the Market Has Not Caught Up
Teradata still gets filed under old database software, and that is the mistake.
In March, the company announced new agentic and multimodal capabilities for its Enterprise Vector Store, with general availability starting in April.
That puts it directly into one of the most important enterprise AI problems: how to connect structured and unstructured data inside systems companies can actually trust and govern.
That is why this setup matters. Plenty of companies are pitching AI agents.
Teradata is selling the layer that helps those agents work inside real enterprise environments without breaking governance, compatibility, or control.
That is a much more valuable position than the market usually gives it credit for.
Why This One Deserves the Feature Slot
The best long picks are not always the hottest names. They are the names where the market is late. Teradata fits that. It has a practical product angle, exposure to enterprise AI spending, and a setup that does not depend on wild speculation.
If companies keep moving from AI experiments to production deployments, this stock is in the right place.
This also avoids one of the biggest traps in tech right now: paying premium multiples for stories that still have to prove they solve anything.
Teradata already knows the problem it is selling into. The question is whether investors are ready to stop treating it like yesterday’s software.
What You Should Do With It
This is a buy-the-story-before-it-gets-crowded setup. Not because the stock is glamorous, but because the product is getting more relevant at the same time the market is broadening out beyond obvious AI winners.
That combination is where reratings start.
The Takeaway:
Buy Teradata here and give it time. This is one of the cleaner underfollowed enterprise AI setups in the market right now.
The Risk:
If customers keep choosing narrower point tools over broader data platforms, the rerating takes longer and the stock stays overlooked.
Everything Else
📈 Smart money is always moving. Our AI scores stocks across 6 dimensions including smart money flow, value, and catalysts and delivers the top 10 highest-scoring names to your inbox every morning.
🎮 Nvidia is facing backlash from gamers as more attention shifts toward AI and away from its traditional GeForce crowd.
🏢 OpenAI is dealing with more executive departures, adding to questions about leadership stability as competition intensifies.
🔋 Samsung SDI has signed its first EV battery supply deal with Mercedes-Benz, a notable step in deepening its position with global automakers.
⌚ Apple has beaten back an attempt to impose a new Apple Watch import ban, easing one legal overhang for now.
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.
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—Noah Zelvis
Tech Stock Insider