A Structural Shift

Over the last few months, I’ve spent time speaking with founders across the ecosystem —listening, questioning, and going through my own cycle of learning and unlearning.

One insight has become painfully clear:

The world is done with “generic SaaS.”

For years, we sold businesses software that promised organization and efficiency. In reality, we just gave them another tab to manage.

Most SaaS products became systems of record—places to store data. What businesses actually needed were systems of work—tools that help them get things done.

In 2026, the convergence of Vertical SaaS and AI is finally correcting this mismatch.

And the shift is structural, not cosmetic.

The Death of the "Empty Box" 📦

Traditional SaaS has always been an empty box. You buy the product, then spend months configuring it, hiring consultants, and teaching the software how your business works. Vertical AI flips this model. Software now comes pre-trained on the industry it serves. If you’re building for a specialty hospital, a chemical plant, or a diamond trader in Surat, the AI should already understand the language, regulations, workflows, and unwritten rules on day one. At that point, it stops feeling like software and starts resembling a domain expert—one that compounds with usage and never sleeps.

From "Seats" to "Outcomes" 📈

This change is also forcing a rethink of how software gets priced. For decades, SaaS companies made money by selling seats. The more people clicking buttons, the more the vendor earned, regardless of whether meaningful value was created. AI-native vertical products are moving away from this model and toward outcomes. The most compelling founders today aren’t asking customers to pay for logins. They’re asking to be paid for insurance claims processed, supply chain delays avoided, revenue unlocked, or losses prevented. When pricing is tied to outcomes, incentives align naturally—customers win when real value is created, and founders get rewarded only when that happens.

3. The "India-to-Global" Feedback Loop 🇮🇳✈️🌎

India, in particular, has an underappreciated advantage in this shift. Our domestic markets are messy, fragmented, and high-pressure. If you can build software that works reliably across Indian manufacturing floors, logistics networks, or regulated industries, you’ve built something fundamentally robust. Solve for India’s complexity, and you often end up with a product capable of winning globally. This isn’t outsourcing anymore. We’re exporting industrial intelligence.

The Bottom Line

The generic SaaS era delivered incremental productivity—shaving a few percentage points off manual work. The vertical AI era enables order-of-magnitude change. Entire workflows disappear. Some job categories shrink or vanish, while new, higher-leverage roles emerge. Even the way founders talk about software begins to change. A Surat diamond trader won’t say they use fintech software; they’ll say their AI manages working capital. A Delhi D2C founder won’t talk about a MarTech stack; they’ll say their AI runs regional growth. The software fades into the background. The outcomes remain.

The software disappears. The outcomes remain.

This isn't a trend. It's a tectonic shift. The Indian founders who see it clearly—who build with India's complexity as their moat and outcomes as their business model—will create the next generation of global category leaders.

The question isn't whether this shift will happen. It's already happening.