Ask Who Will Hire After the AI Course

Start with the work, not the course catalogue. Which roles could participants realistically enter? What would they need to do in those roles? Separate an entry-level job from a promotion, a short placement and an opportunity to practise. Different routes need different preparation and should not be reported as interchangeable successes.

Then specify the employer contribution. It might be a description of real tasks, feedback on a practice exercise, supervised work experience or an agreed interview route. A promise to consider suitable candidates is not a promise to hire. Record that distinction in the agreement and in public copy.

Keep selection fair and job-related. Completing a vendor's course should not become an unexplained substitute for assessing whether a person can do the work. Ask employers how they will recognise skills learned elsewhere and how people without easy access to the programme can still apply.

The Institute's proposal is a simple partnership record: the employer's contribution, the person responsible, when it will happen and how completion will be checked. This is a proposed management tool, not a claim about the contracts behind the Thai announcement.

A learner may complete an exercise but struggle to explain it in an interview. Another may need language support, equipment, accessible materials or time away from paid work. Identify these obstacles with participants rather than assuming that access to a model removes them.

Worker organisations and employment services can help test whether a programme offers a useful route, while employers explain actual hiring needs. An ILO account published on 8 September describes an August dialogue involving governments, employers and workers from South-East Asia and China. It highlights unequal access and the need for social dialogue. It is supporting policy context, not an evaluation of the new coalition. ²

Do not let the most confident participants define the whole programme. Include people who did not finish or could not take the next step. Their experience can reveal an obstacle that completion statistics hide. Participation should not require people to disclose sensitive personal information to a technology supplier.

Count enrolment, completion, demonstrated skills, interviews, offers and employment separately. State the denominator and follow-up period for every rate. If only participants who reply to a survey are counted, say so. People lost to follow-up are not automatically employed or unemployed.

A job outcome also needs context: the role, whether it is sustained, and whether the person considers it useful. Do not claim that the course caused a placement merely because the placement came later. Existing skills, local demand and other support may explain part of the result.

Employer optimism is a different kind of evidence again. A European Commission release on 14 October reports a survey of heads of private firms across the EU, with fieldwork in March and April. It covers AI and algorithmic management, which includes systems that need not use AI. It does not establish the employment effect of an AI course. ³

Before scaling, agree what missing evidence would pause the next intake or change its design. A small programme with transparent follow-up can be more useful than a large headline with no account of what happened afterwards.

Thailand's combination of public agencies, employers and an employment platform reflects its own institutions. Elsewhere, recruitment may depend more on apprenticeships, public employment services, professional credentials or smaller local employers. Verify the relevant route before buying a supposedly global curriculum.

In markets with limited connectivity or widespread informal work, an online application funnel may miss the people the programme intends to serve. Language, disability access, transport and paid learning time can change who participates. This brief does not establish comparative placement results across North America, Europe, Africa, the Middle East or Latin America.

The portable test is therefore modest: name the next step, its owner and the evidence needed to judge it. Check local employment, privacy and equality duties with the appropriate specialists. Do not present a partnership model as a worldwide legal template.

Invite the learning provider, an employer able to make commitments, an employment intermediary and a learner or worker representative to review one proposed cohort. Ask each to identify the point where a participant is most likely to get stuck, and what they can change.

Approve the pilot with clear contributions and a follow-up plan. Keep public promises within what partners have actually agreed. Scale when the evidence supports the next step, not when the list of supporting logos grows.