The “Second Derivative” Play: Understanding the Next Wave
Here’s the thing about derivatives in investing — if semiconductor stocks are the primary play and AI infrastructure is the first derivative, then AI software is the second derivative. And 2026 might finally be when this second wave explodes.
For years, the market fixated on chips and data centers. Now it’s waking up to something equally important: what you actually do with all that compute power. Three software companies are perfectly positioned to capture this shift.
SoundHound AI: The Voice-Powered AI Agent Leader
SoundHound AI(NASDAQ: SOUN) isn’t just a voice recognition company anymore — it’s becoming the infrastructure for voice-enabled AI agents. And that’s a critical distinction.
Why? Because when AI agents need to understand intent at scale, voice input becomes a core feature. SoundHound’s years of voice tech leadership give it an unfair advantage here.
The numbers back this up. Through the first nine months of 2025, revenue more than doubled. The company’s already embedded in two huge industries:
Automotive: Building smarter in-car voice assistants
Quick-service restaurants: Powering voice-ordering systems at scale
Then there’s the Amelia acquisition. That move wasn’t just about buying technology — it was about buying customer relationships in healthcare, financial services, and retail. Now SoundHound can plug voice capabilities into those verticals.
The cherry on top? Gross margins are expanding, and the company is approaching cash flow breakeven. The Amelia 7 agentic AI platform is still rolling out. Execution looks clean.
Salesforce: The Overlooked Data Consolidation Play
Salesforce(NYSE: CRM) spent the last couple years getting written off as an AI laggard. That narrative is stale.
The key insight: AI systems need clean, organized data to function. Salesforce already owns the front-office system of record for millions of businesses worldwide — customer service, marketing, sales operations. That’s not a nice-to-have. It’s foundational.
The Informatica acquisition put a period on that sentence. Informatica specializes in pulling data from fragmented sources and unifying it. Combined with Salesforce’s existing customer relationships, this creates a powerful moat around enterprise data governance.
Then there’s Agentforce, the company’s AI agent solution. It’s integrated across Slack, Tableau, and the broader Salesforce ecosystem. Adoption has been explosive:
ARR surged 330% last quarter
$540 million in Agentforce annual recurring revenue
Flexible pricing (seat-based or consumption) is driving strong customer expansion
Valuation is compelling too. The stock trades at:
Forward P/S below 5.5x
Forward P/E around 20x
PEG ratio under 0.65 (anything under 1.0 signals undervaluation)
This is a company that was left for dead by the market, but the fundamentals are improving rapidly.
Snowflake: The Stickiest Data Infrastructure
Snowflake(NYSE: SNOW) operates a cloud data warehouse with a clever architecture: storage and compute are separate. Customers load data once, then query it across any cloud provider (AWS, Azure, GCP). No vendor lock-in at the data layer.
Except — and this is the trick — once your data lives in Snowflake, moving it is a nightmare. Network effects and switching costs are brutal.
The company recently launched Snowflake Intelligence, which lets customers build proprietary AI agents with secure access to their Snowflake data. Growth metrics:
1,200+ customers using Snowflake Intelligence
$100 million AI revenue run rate
29% sequential revenue growth last quarter
125% net revenue retention over the past 12 months (nearly all revenue from existing customers expanding spend)
The kicker: Snowflake was initially viewed as an AI laggard. Instead, it’s outperforming. Record customer additions, strong retention, accelerating AI revenue — this looks like a company firing on all cylinders heading into 2026.
The Bottom Line: Timing Matters
Chip stocks will keep performing. Infrastructure plays aren’t going anywhere. But the real money in 2026 might just be in the software layer — the companies that help AI actually do useful work.
SoundHound, Salesforce, and Snowflake aren’t just benefiting from AI. They’re becoming essential infrastructure for how businesses deploy it. That’s a different category entirely.
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Why AI Software Stocks Are Ready for Their Big 2026 Moment (And Why It Matters)
The “Second Derivative” Play: Understanding the Next Wave
Here’s the thing about derivatives in investing — if semiconductor stocks are the primary play and AI infrastructure is the first derivative, then AI software is the second derivative. And 2026 might finally be when this second wave explodes.
For years, the market fixated on chips and data centers. Now it’s waking up to something equally important: what you actually do with all that compute power. Three software companies are perfectly positioned to capture this shift.
SoundHound AI: The Voice-Powered AI Agent Leader
SoundHound AI (NASDAQ: SOUN) isn’t just a voice recognition company anymore — it’s becoming the infrastructure for voice-enabled AI agents. And that’s a critical distinction.
Why? Because when AI agents need to understand intent at scale, voice input becomes a core feature. SoundHound’s years of voice tech leadership give it an unfair advantage here.
The numbers back this up. Through the first nine months of 2025, revenue more than doubled. The company’s already embedded in two huge industries:
Then there’s the Amelia acquisition. That move wasn’t just about buying technology — it was about buying customer relationships in healthcare, financial services, and retail. Now SoundHound can plug voice capabilities into those verticals.
The cherry on top? Gross margins are expanding, and the company is approaching cash flow breakeven. The Amelia 7 agentic AI platform is still rolling out. Execution looks clean.
Salesforce: The Overlooked Data Consolidation Play
Salesforce (NYSE: CRM) spent the last couple years getting written off as an AI laggard. That narrative is stale.
The key insight: AI systems need clean, organized data to function. Salesforce already owns the front-office system of record for millions of businesses worldwide — customer service, marketing, sales operations. That’s not a nice-to-have. It’s foundational.
The Informatica acquisition put a period on that sentence. Informatica specializes in pulling data from fragmented sources and unifying it. Combined with Salesforce’s existing customer relationships, this creates a powerful moat around enterprise data governance.
Then there’s Agentforce, the company’s AI agent solution. It’s integrated across Slack, Tableau, and the broader Salesforce ecosystem. Adoption has been explosive:
Valuation is compelling too. The stock trades at:
This is a company that was left for dead by the market, but the fundamentals are improving rapidly.
Snowflake: The Stickiest Data Infrastructure
Snowflake (NYSE: SNOW) operates a cloud data warehouse with a clever architecture: storage and compute are separate. Customers load data once, then query it across any cloud provider (AWS, Azure, GCP). No vendor lock-in at the data layer.
Except — and this is the trick — once your data lives in Snowflake, moving it is a nightmare. Network effects and switching costs are brutal.
The company recently launched Snowflake Intelligence, which lets customers build proprietary AI agents with secure access to their Snowflake data. Growth metrics:
The kicker: Snowflake was initially viewed as an AI laggard. Instead, it’s outperforming. Record customer additions, strong retention, accelerating AI revenue — this looks like a company firing on all cylinders heading into 2026.
The Bottom Line: Timing Matters
Chip stocks will keep performing. Infrastructure plays aren’t going anywhere. But the real money in 2026 might just be in the software layer — the companies that help AI actually do useful work.
SoundHound, Salesforce, and Snowflake aren’t just benefiting from AI. They’re becoming essential infrastructure for how businesses deploy it. That’s a different category entirely.