Focus

Four domains of work, one question: institutional readiness for general-purpose AI.

My work is not a menu of services. It is a coherent set of lenses on a single transition. Each domain below is something I actively write about, convene around, and advise on.

01 / 04

AI workforce transformation

The stake

Labour markets are entering a phase of structural reorganisation. The classic reskilling narrative was calibrated for marginal automation, not for systems that can do meaningful cognitive work across professions.

My angle

I treat workforce transition as an institutional design problem rather than a training problem. What do functional public employment systems, adult learning frameworks, and firm-level redesigns look like when capable models become a routine part of work?

Institutional relevance

Relevant to ministries of labour, enterprise leaders, unions, workforce policy researchers, and multilateral bodies working on the future of work.

02 / 04

AI in education

The stake

Education systems were designed to produce a workforce that is now being rewritten. Most debates about AI in education are still about tools in classrooms. The deeper question is what the next generation should actually learn.

My angle

I focus on education as civic infrastructure: curriculum rethinks, credentialing under AI pressure, and what it means to raise a generation that will govern intelligent systems, not merely consume them.

Institutional relevance

Relevant to education ministries, universities, foundations, assessment bodies, and international education networks.

03 / 04

Governance, policy, and institutional readiness

The stake

AI regulation is being written faster than many regulators can read their own tools. The greater risk than bad law is an institutional stack that cannot keep up with what it is meant to supervise.

My angle

I work on the capacity side: how public institutions can become AI-competent rather than merely AI-compliant. This includes state capacity, procurement, public reasoning, and the editorial standards of regulators themselves.

Institutional relevance

Relevant to regulators, central banks, ministries, international organisations, and think tanks working on public-interest AI.

04 / 04

International dialogue and convening

The stake

Most AI conversations are happening in siloes — between researchers, founders, and officials who rarely share vocabulary. The result is slower institutional response and a thinner policy discourse than the moment demands.

My angle

I convene small, deliberately multi-disciplinary rooms and write editorial analysis that can be used across them. The goal is a more precise shared language for a transition that will be lived internationally.

Institutional relevance

Relevant to conference curators, editorial teams, foundations, and institutional collaborators building serious cross-border AI dialogue.

Collaborate

If your organisation is working on any of the above and wants a specific, institutionally literate counterpart, the contact page is the right next step.