While researching the massive wave of digital transformation rewriting the rules for startups this year, I stumbled upon an insightful podcast by the tech firm GeekyAnts. Hosted by Prem, the episode featured Sanket Sahu, the co-founder of GeekyAnts, who recently emerged from a year and a half hiatus to discuss what he calls the "AI-native shift."
As someone navigating the unpredictable US tech market in 2026, listening to their conversation felt like a reality check. We are constantly flooded with news about AI replacing engineers or cutting budgets, but this discussion offered a grounded perspective on what is actually happening on the ground in software development.
The Illusion of Speed
The central theme that caught my attention was the sheer velocity of modern AI adoption. Sanket made a striking contrast: while television took decades to become a common household utility, modern AI systems like ChatGPT or Claude reached exponential revenue and widespread adoption in mere months.
But here is where the critical analysis kicks in. As founders, we often mistake engineering speed for product success. The podcast highlighted a massive bottleneck that many of us are guilty of overlooking: the human limit.
