Niraj Gohil

I’m building the technology to give people command over their own attention, the scarce faculty in an age of abundant machine intelligence.

I’m a systems engineer by training, with peer-reviewed research on the life cycle analysis of electrolytic hydrogen production and on dynamic modeling of the U.S. semiconductor supply chain. Modeling constrained systems taught me one lesson: when an input becomes abundant, the bottleneck moves. I’m now working on where it moved in human cognition.

My essay The Oldest Problem That Was Never Solved makes the argument: as intelligence becomes abundant and nearly free, the one thing that separates those who wield it from those who merely stand beside it is command, the power to choose what your mind works on and carry it through to something finished.

Essays

The Oldest Problem That Was Never Solved
The one thing AI can’t give you · 2026

Research

Spatio-Temporal Life Cycle Analysis of Electrolytic H₂ Production in Australia under Time-Varying CO₂ Management Schemes — arXiv ↗
arXiv:2509.00175
Enhancing Spatio-Temporal Resolution of Process-Based Life Cycle Analysis with Model-Based Systems Engineering & Hetero-functional Graph Theory — arXiv ↗
arXiv:2506.00230
Dynamic Modeling of the U.S. Semiconductor Supply Chain (1990–2025) — Zenodo ↗
Independent study · working draft