Arunabh Bhattacharjee’s Post

As I spend more time with today's tools amplifying productivity, hundred thoughts hit me over the last month, but three stand out. 1. The speed of building has dramatic implications. Once you truly understand the requirements, edge cases, and failure modes of an enterprise-grade system, modern tools make execution shockingly fast. Not prototype fast or demo or alpha or beta build. Real-system fast (if you're able to repeat the same process, with institutional knowledge of real production use). A strong architect, operator, or technical founder may now be able to fast track work that used to require many dependencies: scaffolding, test generation, refactoring, orchestration, iteration. The bottleneck is shifting away from raw implementation and toward clarity, judgment, and review. (Which as of today, is still a bottleneck BTW!) 2. Hiring has not caught up to this reality. We still evaluate people using backward-looking proxies: resume lines, brand names, polished stories, years of experience, accomplishments, etc. Past accomplishment says less and less about future capability in an AI-amplified world. (And it might be painful to hear, if you've been working really hard up until this point!) The better question is: what can this person actually do with the tools now available? Can they frame the problem, use the tools well, validate the output, and produce the outcome? Knowledge is increasingly accessible. Judgment is still scarce. Hiring processes built for recall and credential signaling need a serious overhaul! 3. This should force a rethink of build vs. buy. If a capable team can build something in weeks or months, why are we so quick to assume it should be acquired? Buying still has advantages: distribution, customer base, talent, speed. But integration has always been slower, messier, and more expensive than the deck suggests. When building gets cheaper, faster, and more reliable, the bar for buying should go up. The deeper point across all three: we are still operating with organizational assumptions from a lower-leverage era! Production has changed. Talent evaluation has to change. And our overall strategies need to change with it..