The first time the circle met online. Seven of us, one question — and a question mark that turned out to be the whole point.
Notes from the circle·Sree Balakrishnan·May 2026
The session, drawn as a strip — from the arena of extremes to the line we ended on: humans with AI.
Most of what lives on this site so far is a single voice thinking out loud, or two people in a long conversation. This is something else. This is the circle gathered — the first time we met online rather than in a room in some city — and it was loud in the best way.
One question was on the table: what is AI actually doing to the work we do, and to the people who do it? Seven of us answered, and we did not agree. The views ran the full spectrum — from the engineer's role as we knew it is ending to most of this is hype, slow down. Sunil set the tone early: not a debate to win, a conversation to have.
If you take one thing from the hour, take where we landed. Not on a side. The honest answer to "AI versus human" turned out to be that it was the wrong question. The future the circle could actually defend is co-intelligence — humans with AI. And the leadership question underneath it is a conscious one: to optimise, to replace, to automate — only ever with full awareness of who it touches.
Where the room converged
The future is not AI vs. human. It is AI + human — technology deployed with awareness of its impact on people and on the way the work actually flows.
Where everyone stood
Seven leaders, seven angles. None of them wrong, which is exactly why it was worth recording.
The traditional role of the hands-on engineer and coder, as we knew it, is ending. Not in theory — in practice. I ran five digital agents in parallel and delivered what would have been six weeks of human work in a single week. The job is shifting from writing the code to orchestrating the things that write it.
Sunil Rawlanithe lived-experience realist
AI has no lived experience, and no ownership. When a hospital bot couldn't reach its backend services in the middle of an emergency, there was no one inside the machine to own the exception and make it right. Knowledge is not the same as having been there.
Nagamahesh Pingalithe strategic AI director
Workflow first. Use AI to drive revenue, growth and operational efficiency without cutting staff — and protect brand safety while you do it. The structure comes before the autonomy.
Arun Kunduthe wait-and-watch pragmatist
This is Ford's assembly line again — a revolution humans will evolve alongside and coexist with. AI is better at scale, but it misses the human touch. Knowledge isn't experience, and AI is only as good as good instructions.
Solasa Rajeshthe developer skeptic
Humans stay mandatory in software development. AI still struggles to hold long-term context, and it can't reliably fix the complex loops a real codebase throws at you. It's fast — but speed isn't judgment.
Surya Pandeythe performance enhancer
AI is a push for personal goals — health, pace of learning, performance. A tool to improve what you do, not to replace who does it. The guidance stays human.
Tuhin Mohantathe co-intelligence proponent
It was never AI vs. human — that's the wrong question. AI is a companion. Mind the man behind the machine, and the real question becomes: how do we become co-intelligent?
AI has no lived experience and no ownership. When the bot failed mid-emergency, there was no one inside the machine to own the exception.
Sunil Rawlani, on what the machine cannot carry
What we kept circling back to
The human in the loop.
Almost everyone agreed: the human stays in the loop until AI can self-learn and establish patterns the way people do. For now, AI lacks the judgment and the deep experience of a senior leader — and that gap is exactly where the human belongs.
Workflow, or autonomy?
The sharpest open question of the night. Should AI be workflow-first — structured, bounded, predictable — or allowed to act autonomously? The room didn't settle it. It's the design decision most teams will be making for the next few years.
Ownership and accountability.
Sunil's point that wouldn't leave: when an AI agent fails, there is often no clear human ownership to resolve the exception. Accountability doesn't disappear because a machine did the step — it just becomes harder to locate.
Growth needs guardrails.
Nagamahesh and Rohit Thomas pressed the same nerve from two sides — drive growth, but innovation needs responsibility. Rohit leaned to the human side: stronger guard rails to prevent chaos. The non-negotiables they named:
TransparencyEthicsSafetyAccountabilityFairness
The economics of it.
AI tokens keep getting cheaper relative to human salaries — but the group noted a catch the spreadsheets miss: the wider economy needs money to keep circulating through human workers to stay functional. Replacing people is not a cost line that closes cleanly.
Where we landed
True consciousness in leadership, we decided, is about deliberate choice. Optimising, replacing, or automating — but only with full awareness of the human consequence. Success in this era isn't picking AI over people or people over AI. It's co-intelligence: letting the technology expose the inefficiency, and letting the human bring the context and the empathy the machine can't.
Different views. One goal — a better future for all.
The future isn't AI versus humans. It's humans with AI.
The recording · members only
The full conversation was recorded and is shared within the circle — watch it on Drive. If the link asks for access and you are part of the circle, ping Sree on WhatsApp and we'll let you in.
