Against the Frictionless Mind
Every tool that thinks for us removes a friction we once mistook for effort. Some of that friction was the thinking itself.

The promise of every intelligent machine is the same: it will do the hard part so you don't have to. This is always presented as liberation, and after two decades of building systems whose entire purpose was to remove effort, I do not take that promise lightly. But it is worth asking, occasionally, what exactly we are being liberated from — because not all effort is waste, and some of what we are so eager to automate is the very friction that was doing the work.
A mind that never struggles never discovers what it is capable of. We are building an infrastructure of perpetual assistance and calling it progress.
When the tool decides the path
When the machine writes the sentence, it also quietly decides what the sentence could have been. The alternatives vanish before you knew they existed. This is not a complaint about quality; the output may be excellent, often better than what I would have produced alone. It is a concern about authorship, and about what happens to a practitioner who outsources the one activity that made them valuable. I have watched capable people accept a system's first plausible answer not because it was right, but because arguing with it felt like unnecessary friction. The friction was the point.
The value of the wrong turn
Understanding is not information delivered efficiently. It is the residue of having been lost and finding your own way out. In my own field, the lessons that stuck were never the ones handed to me cleanly — they were the ones I earned by taking a wrong turn deep into a problem and having to climb back out. Remove the possibility of being lost and you remove the possibility of arriving somewhere you did not already expect. The frictionless mind only ever ends up where the tool pointed it.
There is a deeper cost, too. When we never take the wrong turn, we lose the map that only wrong turns can draw — the intuition for where the dangers lie, the feel for a landscape's shape. A junior colleague who has only ever been guided straight to the answer cannot tell you why the answer is right, which means they cannot tell you when it has quietly become wrong. That silent incompetence is far more expensive than any honest mistake.
Choosing our frictions
So I am not against the tools — I build with them, and I will keep building with them. I am against surrendering the frictions that were never obstacles but instruments. The task for our profession is to become deliberate: to let the machine absorb the genuinely tedious, and to guard the productive struggle that turns information into judgment. Progress is not the removal of all effort. It is the wisdom to know which effort was making us who we are.
Written by
Vatsal Gaonkar
Finance & AI Transformation Advisor · Oracle ACE Director
Vatsal Gaonkar is a Finance & AI Transformation leader with more than two decades spent aligning people, process, and technology. An Oracle ACE Director and advisor to C-suite executives, he writes about Autonomous Finance, agentic AI, and what he calls Abundance-Based Leadership and the Infinite Improvement mindset — treating innovation as a journey rather than a destination.
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