The acceleration of AI has rewritten many of the assumptions that once guided SaaS growth. Product categories are shifting, cost structures are no longer predictable, and customer expectations have risen sharply. In this environment, founders and GTM leaders must navigate a landscape where clarity, precision, and value alignment matter more than ever.
A panel discussion at The Usage Economy Summit 2025 moderated by Preethy Padmanabhan brought together three seasoned investors (Priya Saiprasad of Touring Capital, Ashmeet Sidana of Engineering Capital, and Anupam Rastogi of Emergent Ventures) to share what truly separates scalable startups from those that stall early.
Clarity Before Scale
Investors are prioritizing founders who show a disciplined understanding of their Ideal Customer Profile. This means specificity. The buyer, champion, evaluator, and user must be clearly defined long before aggressive sales hiring begins. Strong founders validate their thesis with fifty to one hundred conversations. They know who the product is for and equally important who it is not for.
Early stage companies are not expected to have a flawless GTM plan, but vague personas or competing narratives are immediate red flags. Precision of thinking matters more than polished slides.
Choosing the Right GTM Motion
Product led growth, sales led growth, and channel led growth all have their place. The early stage challenge is choosing one motion that aligns with how the target buyer discovers, evaluates, and purchases software.
Finance leaders do not download software on a whim. Customer service teams cannot self deploy tools that touch core operations. These functions demand a sales led approach. Developers and marketers, by contrast, might adopt software through usage. That makes PLG a credible option.
VCs consistently warn against splitting motions too early. Mixed GTM only works once a company has traction and repeatability. Until then, focus beats optionality.
Pricing in an AI Driven World
Seat based pricing is losing relevance when AI reduces the need for human interaction. If the product is successful, usage per user often goes down. That places pressure on traditional ARR models.
Founders are encouraged to start with usage based pricing that captures a fair share of value without creating friction. Once measurable ROI is proven, pricing can move toward outcome aligned models or a transparent take rate. Investors expect clarity on this evolution, not a static model.
AI also changes cost structures. Third party LLM fees can erode margins if usage surges. Pricing must protect unit economics or growth will work against the company.
Why Storytelling Still Wins
Founders often present one narrative to customers and a completely different narrative to investors. That disconnect is a warning sign. VCs want a single message rooted in the problem, the urgency behind the problem, and the ROI the product creates. The same story should resonate with users, buyers, and the board.
In crowded markets, the companies that win are those that articulate why they are different, why they matter now, and how they tie value creation directly to measurable outcomes.
The Importance of Trust and Transparency
AI era pricing introduces complexity. Customers expect visibility into meters, thresholds, and usage patterns. They want confidence that the bill is accurate and aligned to the value they receive. Companies that provide real time telemetry, easy to read usage statements, and clear audit trails build trust faster and renew more predictably.
Internally, pricing, finance, RevOps, and compensation need to stay in sync. Misalignment creates confusion in the field and revenue leakage in the back office.
What Differentiates Early Winners
Founders who deeply understand their customers outperform those who rely on assumptions. VCs consistently highlight the value of relentless customer interaction. Insight into user behavior, buying dynamics, and unspoken problems often creates the earliest differentiators in competitive categories.
Retention is also becoming a pressure point. AI pilots often start from innovation budgets. Renewal comes from business unit budgets. Value must be delivered in under twelve months to survive that transition.
Looking Toward 2026
Investors expect the next two years to be a turning point. AI applications will move from experimentation to production. New interaction models will reshape software categories. Vertical SaaS leaders will pursue acquisitions to fill AI gaps, creating meaningful exit opportunities.
This shift rewards founders who pair technical innovation with commercial excellence. A strong product is not enough. A strong GTM, clear pricing, and consistent storytelling will determine who breaks out.
