Editorial

Opinion & Analysis

The author's positions on AI governance, education, and policy. All pieces are clearly labelled as opinion.

The World Is Writing AI Literacy Laws. Almost Nobody Is Enforcing Them.

April 10, 2026 · Audience: Governments

The EU Article 4 deadline is four months away and two-thirds of member states have not designated an enforcement contact point. Meanwhile, Beijing has compulsory AI classes in every school, Pakistan is mandating curricula it cannot physically deliver, and the United States is relying on individual districts to solve a national problem. The pattern is the same everywhere; mandates without infrastructure, deadlines without consequences, and a growing gap between what governments promise on AI literacy and what they are actually prepared to enforce.

Digital Europe Is Funding Machines. Someone Needs to Fund the People.

April 6, 2026 · Audience: Governments

The European Commission's March 2026 amendment to the Digital Europe Programme allocates €1.3 billion to AI infrastructure, testing facilities, and innovation hubs — and nothing to the workers who are legally required to understand AI by August 2026, or the students who will enter a workforce built on systems they were never taught to question.

The AI Usage Gap Is Already Wider Than the AI Knowledge Gap

March 30, 2026 · Audience: All

The divide is no longer just between people who understand AI and people who do not; it is between people who use AI as a tool and people who use it as an operating system for their work, and the second group is pulling ahead at a speed that policy cannot currently see.

Pro-Worker AI Already Exists. The Question Is Who Gets to Ask for It.

March 26, 2026 · Audience: Companies / Governments

The debate about AI and job displacement is framed around the wrong question; the MIT taxonomy of technological change shows that pro-worker AI is technically real and already operating in the field, but market incentives will not produce it at scale without workers who understand what they are demanding.

Train People First: The Policy Choice Behind Every AI Layoff

March 16, 2026 · Audience: Companies / Governments

Most AI-related job cuts are anticipatory rather than necessary; the real risk is not AI replacing workers but AI-proficient workers replacing AI-unaware ones, and the policy response should make training a requirement, not a discretionary spend.

We Need to Be Educated on AI, Starting Now

March 16, 2026 · Audience: All

The gap between people who understand AI and those who do not is already an economic divide; governments, schools, and companies need to treat AI literacy as a universal entitlement, not a technical privilege.