The most underrated skill of the AI era: Context Engineering.
It's not "prompt engineering."
It's your ability to describe complex, real-world problems to AI using deep domain vocabulary and field experience.
The richer your context, the better AI performs for you.
If your AI can't escape the chatbox, it's not an agent. It's a smart chatbot.
A real AI agent jumps into your Gmail, uses your CRM, orchestrates tools, and actually gets things done autonomously.
Most "agents" today are just chatbots with fancy branding.
Hot take from @AnshMehra_'s AI agents masterclass:
By 2030, the average human will be "dumber" than AI - not because AI gets smarter, but because we stop thinking critically.
The fix? Stop accepting AI's first draft as your final answer.
@aviralbhat 20% IRR over 18 years with zero liquidity, zero dividends, and regulatory risk most VCs would run from. The real insight: India's digital payments infra (UPI doing 15B+ txns/month) turned cricket into a monetizable attention machine. The rails made the valuation possible.
@indpaisa@Intrinsic_cycle 2-3 cr in fixed income barely beats inflation in India after tax. The real play is getting your savings rate above 50%, then splitting between equity and debt. Time in market matters more than the lump sum. Compounding rewards consistency, not one-time deposits.
@Percura_ai Spent 3 months building a beautifully architected payment orchestration layer once. Zero users needed it. Now I prototype ugly, get 5 real users to break it, then invest in the architecture. Validation before elegance saves careers.
@tradingNQdaily@DeItaone You see it in payments data before it hits the headlines. Delinquency rates on BNPL are climbing quietly, retry rates on recurring charges are up. The consumer stress shows in transaction failures long before it shows in Fed reports.
@RyanHaiss This is why I track "months of freedom" not net worth. A number without context is just vanity. The real question is: at my current burn rate, how long can I survive without a paycheck? That reframes everything.
@guillermooo AI writes the happy path fast. The senior engineer is the one asking "what happens when the bank times out at 11:59 PM on settlement day?" The hard part was never typing the code.
@IndianTechGuide give it 6 months and someone will ship a startup that's just "Claude but it can't delete your prod database". we're speedrunning the same trust cycle we did with cloud permissions in 2015
@OmriBuilds whoever ships the best API docs honestly. the model quality gap is closing fast but half these tools still have docs that read like they were written by the intern on friday afternoon
@0xlelouch_ coordination tax is the real killer. had a system where adding a 3rd replica to our consensus cluster made writes slower because the leader election logic had bugs nobody wanted to touch. "just add more nodes" is the distributed systems version of "just throw more RAM at it"
Hot take: AI won't replace payments engineers.
Not because we're special. Because half our job is calling banks at 2 AM to argue about settlement mismatches.
No model wants that job.
@_prashantnair@CNBCTV18News Living in Bangkok, investing in India. Both my home and host country on the sharp end of this cut. Good reminder why FIRE planning needs to account for macro shocks โ the SIP-and-forget crowd might be in for a rough year.
@devXritesh The real flex at payments companies isn't the comp โ it's touching infrastructure that moves real money for millions of people. That experience compounds way faster than RSUs. After 7 years in payments infra, I'd pick the harder problems over the higher number every time.
@ThisWeeknAI 7 years in payments infra. AI writes my boilerplate faster. But the hard part was never writing code โ it was knowing which edge case will drain $2M at 3 AM. That part still needs a human who's been burned.
@CryptoIntelHQ_ Banks pivot to AI infra by proxy is the next big wave. They can't build it fast internally due to compliance debt, so they buy capacity from miners who have the power and cooling. Wall Street is finally realizing AI is an energy and infra game first.
@beatingthetide Tech debt in 1996 was fiber. Tech debt in 2026 is usually 50 different microservices that could have been a monolith. The 'boom' always leaves a mess, we just find cooler names for it. $SPY
@xoaanya Confidence. We've spent 2 years convincing ourselves that the boilerplate we no longer write was the bottleneck. If AI as a co-pilot vanishes, the 'meltdown' will be the realization that we've forgotten how to find things in a 200-page API doc without a summary.