Why AI Product-Market Fit Differs from SaaS -- and How to Succeed
In tech, product-market fit (PMF) has always been the holy grail. For SaaS, hitting PMF often feels like crossing the finish line. You’ve nailed retention, customers are sticky, and growth follows. AI? Not so simple. Here, PMF isn’t a milestone. It’s a treadmill that only speeds up. Models evolve weekly, expectations shift daily, and hype fades fast if products don’t deliver trust and real-world value. This matters even more in Southeast Asia’s AI market , which is second only to North America in generative AI adoption. Indonesia and Vietnam are leading the charge, with 42% of ecommerce sellers already using AI. Governments are rolling out AI strategies, and by 2027, AI could pump $120 billion into regional GDP. Big numbers. But here’s the catch: without sustained value, AI ventures burn out fast. SaaS Product-Market Fit vs. AI Product-Market Fit SaaS has always had a playbook: build an MVP, launch, iterate, and once you’ve got PMF, you’re pretty much set. Retention is the golden ...