VCs Prioritize 'Durability' Over Price Amid AI Disruption
In the current market, top investors are focusing less on price and more on business durability, according to Lucas Swisher of Coatue. Swisher stated that metrics like net new ARR and retention are better indicators of a sustainable business than early-stage margins. He also noted that for the first time, the rise of AI is causing investors to question the terminal value of traditional SaaS companies, triggering a flight of capital.
- Coatue's Lucas Swisher recently put this thesis into practice, co-leading a $250 million Series D in conversational AI platform Decagon, which tripled the company's valuation to $4.5 billion in six months. This investment highlights the trend of concentrating capital into AI-native companies perceived as durable winners. - The concern over the terminal value of SaaS is rooted in AI's commoditizing effect; 64% of SaaS CEOs report that generative AI is already lowering barriers to entry in their markets. Consequently, 80% of private equity and strategic buyers now report a valuation uplift for SaaS companies with deep, structural AI integration, not just cosmetic features. - The emphasis on durability is shifting how VCs assess performance, with capital efficiency metrics gaining prominence over pure growth. The "burn multiple" (net cash burn divided by net new ARR) is a key indicator in 2026 for measuring how efficiently a company is converting cash into revenue. - The Turkish startup ecosystem saw AI companies account for 25% of all investment deals in 2025, though they captured a smaller share of total funding compared to fintech and gaming. While overall VC funding in Turkey declined by 45% to $589 million in 2025, mirroring a European trend, the number of AI startups being founded has grown. - This focus on durability extends to capital-intensive sectors like climatetech, where Turkey has shown high activity, recording the most deals in the MENA region (80) between 2018 and 2022. Germany's government has modeled a long-term approach with its €1 billion Deeptech & Climate Fonds to support startups with extended development cycles. - Unlike high-margin SaaS models, AI-native companies often have lower gross margins (40-60% vs 70-85% for SaaS) due to recurring costs for compute and model licensing. Their durability is assessed on their ability to command higher average revenue per account (ARPA) by tapping into both software and labor budgets, thus addressing a much larger Total Addressable Market (TAM). - The changing landscape is forcing a reevaluation of traditional pricing models, with a shift away from per-seat SaaS pricing. AI enables value to be tied to consumption metrics like tokens processed or API calls, making revenue less predictable but better aligned with customer value.
