Writing & Essays.

As generative AI transitions from venture-subsidized loss leaders to usage-based enterprise deployments, the economic surplus is shifting. A granular teardown of the physical, silicon, and energy layers that extract capital from every token generated.

Access was never the bottleneck we thought it was. An in-depth look at what actually changes — and what doesn't — once every fact, skill, and idea is one search away, and why the real gate moved from "can you access this" to "what will you do with it."

A comprehensive, multi-disciplinary reference handbook on how AI reshapes labor markets by automating routine cognitive work and shifting value toward higher-level human judgment and oversight.

A framework for pre-revenue founders on exactly which single subscription earns its keep — and why most founders either spend too little or spread too thin before they have revenue to show for it.

A framework for cutting through AI tool overload — auditing what you actually use, mapping tools to the right layer of your workflow, and building the habits that make it stick.

An analytical deep dive into the corporate strategy, tax structures, host agreements, and commercial architecture driving the record-breaking 2026 FIFA World Cup cycle.

A pragmatic framework for identifying market value, mitigating initial transactional risks, and establishing confidence during your first client engagements.

Analyzing how modern, high-leverage automated tools are shifting executive workflows and paving the way for decentralized leadership models.

A technical blueprint and operational roadmap for migrating your CRM database from HubSpot to Odoo. This guide covers how to escape scaling tier costs, accurately map complex entity schemas (Contacts, Companies, and Deals), and execute a zero-downtime transition without dropping active sales pipelines.

Tracing sixteen years of independent research on who really funds credit card rewards — and the genuine economic dispute over whether "wealth transfer" is even the right way to describe it.

On the trillion-dollar infrastructure race payment giants are quietly building for AI-initiated purchases — and the accountability questions almost nobody outside fintech is asking yet.

An on-the-ground look at Bangladesh's design-first semiconductor strategy — the tax incentives, the RMG-era playbook it's borrowing from, and the concrete execution bar industry leaders say the next two years actually need to clear.

A definitive explainer on physical AI — the third wave after perception and generative AI — covering world models, VLA systems, real-world deployments, market size, and the organizational questions almost nobody else is asking about it.

Why physical AI is currently filling a global labor shortage rather than replacing existing workers — and the counterintuitive, under-reported reason that relief phase won't last.

On why the real story of the AI race may not be which lab ships the strongest frontier model, but how far open-weight alternatives close the gap once training costs keep climbing.

A look past the single-headline framing of chip bans and benchmark scores, toward the deeper compute, talent, and energy factors that will actually decide the race.

An honest reflection on the uncertainty at the center of the AI conversation — and why even the people building the technology don't have a settled answer on where it leads.

Questioning the productivity statistics driving the AI-bubble debate, and proposing a more useful question than a binary bubble-or-not framing.

On how expertise has always been built through repetitive, unglamorous struggle — and what's at risk for judgment and skill once that struggle becomes optional.

A challenge to the thirty-year "move fast, ship first" consensus, arguing that in an AI-saturated market, shallow thinking is becoming the more expensive mistake.

Part of Sadman's three-part series on organizational intelligence — making the case that intelligence itself will show up as a valued asset class on how companies get assessed.

Unpacking the widening split between rising revenue-per-employee metrics and the growing sense among workers that their own contribution matters less.

On how hiring interviews are quietly shifting from tests of knowledge to tests of something else, now that AI assistance is available to nearly every candidate.