Why enterprise AI deployments are repeating a century-old technology transition mistake. Every week, another benchmark falls. Another model gets smarter, another architecture promises deeper reasoning, and the cost of inference drops by another decimal point. If raw intelligence were still the primary source of competitive advantage in technology, these relentless breakthroughs should be widening corporateContinue reading “We Automated the Old Way of Working”
Author Archives: Vijay Vijayasankar
The Real AI Race Isn’t for Better Models. It’s for Pricing Power.
Every Sunday night, someone somewhere is refreshing an LLM leaderboard. A new model edges out the old one on a coding benchmark. Another claims a fractional improvement in reasoning. Social media fills with grand declarations that everything has changed again. It usually hasn’t ! We’ve spent the last two years obsessing over who has theContinue reading “The Real AI Race Isn’t for Better Models. It’s for Pricing Power.”
The Loop Trap: Why Cheap Tokens Don’t Mean Cheap Tasks
In almost every enterprise AI conversation right now, someone eventually says the same thing: “Tokens are basically free.” I understand why people say it. If the expensive part of building with AI was inference, then cheaper tokens should unlock everything. But that assumption hides a bigger problem. The real cost of enterprise AI was neverContinue reading “The Loop Trap: Why Cheap Tokens Don’t Mean Cheap Tasks”
And Vijay Says... 