Policy

A think tank that writes to lawmakers

AI For Good's policy arm researches and drafts written recommendations to the Hong Kong government. The work is real, filed, and ongoing.

The record

~20
recommendations submitted to government each year
HK$50M
allocated to AI for All in the 2026–27 Budget — the inclusive AI programme we argued for.What we submitted, and what we can claim →
2024–
submissions to Policy Address consultations and Budget proposal feedback, every cycle since 2024
2026–2030
currently submitting to the First Five-Year Plan for Economic and Social Development

Flagship

AI for All

In February 2026, the Hong Kong Budget allocated HK$50 million to an inclusive AI programme reaching an estimated 50,000 residents over two years, through more than 200 courses, seminars and competitions. It is delivered by Cyberport, HKSTP and the Hong Kong Productivity Council, with Cyberport's share aimed at students, parents, the elderly and underprivileged communities.

What we can claim: we recommended it, and the Budget went that way. AI for All is the government's programme, funded and delivered by public bodies — we did not fund it, run it, or cause it.

  1. 2024Teaching in schools with no AI curriculum and no budget to build one, we started recording the same gap in every classroom.
  2. August 2025We filed the argument to the Policy Address consultation, and repeated it in our Budget feedback.
  3. February 2026The 2026–27 Budget allocated HK$50 million to AI for All, and the programme has since been expanded.

Why we asked for it

We teach AI to primary students in schools that had no AI curriculum and no budget to build one. The gap was not interest — the children were quick — it was access. So our submissions argued the same point each year: AI literacy funded only through schools and employers will reach the households that already have it, and miss the ones that don't. Public money had to be spent on the people at the back of the queue, not the front.

What we submitted

In August 2025 we put that argument to the Policy Address consultation, and made it again in our Budget feedback: fund AI literacy directly for the people least likely to encounter it — children in under-resourced schools, their parents, and older residents — instead of routing it through institutions that would reach them last. We asked for public funding attached to that group specifically, rather than a general commitment to AI skills.

What it means, and what it doesn't

The allocation is a start, not a settlement. The government has described HK$50 million as an initial figure and the 50,000-participant target as a baseline shaped by current resources; officials have said more funding may follow if demand is there. Fifty thousand people is a small fraction of Hong Kong. Our position for the next cycle is that the demand exists and the funding should follow it, and we intend to say so in our submission to the First Five-Year Plan.

How a proposal is made

  1. 1 Member interviews
  2. 2 Research
  3. 3 Proposal drafting

Every proposal takes the same shape — and it's the shape, not the length, that makes the work credible:

Every proposal, the same shape

The standing structure of an AFG submission

The case for

The strongest arguments in favour, steel-manned — what the policy would achieve and for whom, grounded in evidence.

The case against

The honest counter-case — costs, risks, and who bears them. If the against-case wins, the proposal isn't filed.

Recommendation

What we ask the government to do, stated plainly — only after both cases have been made.

Submissions

Submissions are published here after they are filed.