National AI Strategy Sprint

A five-week sprint for policymakers, strategists, analysts, educators, civil society, and industry teams who need to read or design national AI strategies with more discipline.

Core weeks

Strategy pillars

Decision outputs

Why This Sprint

Most AI strategies fail for predictable reasons

Many strategies are too vague, too narrow, or copied from another context. This sprint helps you account for compute, data, institutions, labor, international posture, safety, and metrics.

Who it is for

Government officials and advisers

Think tanks and international organizations

Industry associations and technology policy teams

Academics, educators, and civil society voices

Curriculum

From global landscape to decision-ready memo

Each week gives you curated readings, live discussion, structured exercises, and peer review so your final memo is sharper than a private reflection.

Week 01

The landscape: vision and the why now

Use AU, Stanford HAI, OECD, and Carnegie readings to write a context-grounded urgency narrative.

Week 02

Strategy architecture using the 9 pillars

Map Singapore, Kenya, AU, and ASEAN strategy models to compare explicit pillars, omissions, and context.

Week 2.5

Optional constraints deep dive

Practice strategy under power, compute, talent, donor-dependence, and political-time constraints.

Week 03

Compute, data, and institutions

Design the institutional machinery, digital foundations, and first 100 days needed to run a strategy.

Week 04

Sectors, society, and international stance

Select priority sectors, define Year-1 use cases, identify labor risks, and write an international posture.

Week 05

Metrics, iteration, and the strategy memo

Workshop the two-page strategy memo and three-minute pitch through peer review and synthesis.

9-Pillar Framework

A reusable strategy diagnostic

You use the nine-pillar map every week so you can decode existing strategies and design stronger ones.

Pillar 1