AI services can reach the whole world, but the power grids, water, and land behind them are local. This article argues that companies should bear the energy costs of their own new demand, and that the costs of shared infrastructure should be accounted for transparently.

The United States leads the world in AI, yet it still has no federal AI law. This article traces three lines of divergence in U.S. AI governance (federal vs. state, state vs. state, and domestic vs. foreign policy) and how they spill over into the global AI landscape.

From hiring to lending to healthcare, algorithms increasingly make decisions that shape people’s lives. This article examines algorithmic bias, explainability, and accountability, and asks which decisions should, and should not, be left to AI.

Imagine telling an AI that you want to find a summer internship. Instead of simply suggesting job boards or offering career advice, it helps you organize your search, identify relevant opportunities, plan application deadlines, and remind you what to do next.

This article examines why survivors of sexual assault may not report immediately—and why delayed reporting should never be mistaken for dishonesty. Drawing on the Cornell case, trauma research, and the experiences of other survivors, it shows how fear, shame, memory disruption, self-doubt, and the risk of not being believed can make speaking out extraordinarily difficult. Ultimately, the question is not why a survivor waited, but whether we have created a world in which survivors can speak without being blamed, exposed, or harmed again.

In 2026, sustainability is entering a post-label era. Regulatory shifts, selective capital flows, and corporate “greenhushing” are moving the focus from ESG scores and public pledges to verifiable investment and measurable outcomes. The next competitive edge lies in embedding sustainability into capital allocation, supply chain decisions, and risk pricing.

This essay examines OpenAI’s evolution from a nonprofit to a hybrid structure, highlighting the tension between mission and capital. Centered on the 2023 “96-hour crisis,” it shows how formal board authority was overridden by collective employee action, revealing a shift in real governance power.

The analysis argues that OpenAI’s design—especially its vague mission, capped-profit model, and later transition to a Public Benefit Corporation—gradually weakened mission control while enabling rapid commercialization.

Drawing from this case, the essay identifies four key lessons for NGOs: vague missions invite drift, scale weakens governance, employees act as hidden power centers, and hybrid structures carry inherent risks.

Ultimately, OpenAI serves as a large-scale stress test of the mission-driven organizational model in the age of capital and talent mobility.