Workers in Singapore say AI training is helping them finish tasks in minutes that once took hours, while enrolments in some courses have surged. Their examples offer a practical test of the AI skills boom: what changes at work after the class ends?
Watch Desk analysis
What happened
The Straits Times reports that more than 200 AI courses were launched in Singapore on 16 September. Vertical Institute said enrolments in its AI courses more than doubled over the past year; Tribe Academy said its three-month flagship programmes have been oversubscribed across 10 intakes since January 2025.
The article follows three workers using skills from their training. Media localisation manager Kok Yokelee says a subtitling job that previously took two translators at least six to eight hours now takes 30 minutes using AI tools, with unclear audio flagged for human checks. She also learnt to build AI agents using local models, keeping client data on her own device.
Real estate professional Jason Sim says he can build a functional website in an afternoon rather than about a week. Digital marketing specialist Brennan Lee says a reporting task that took eight to nine hours now takes around 40 minutes. Lee was unemployed when he enrolled in training and secured his current job afterwards.
Why it matters
These are individual accounts, not a controlled study of training outcomes. Still, the details show what the broad promise of workplace AI can mean in practice: shorter production times, new workflows and, in Kok’s case, a way to address client confidentiality concerns by running models locally.
The same account includes a less tidy side. Kok says some translators resist adopting the tools, while Sim says keeping up with rapid changes is difficult. Faster work does not settle who benefits, which tasks change next or how much human checking remains essential.
Our read
The most useful measure of AI training is not how many certificates get handed out. It is whether people can apply the tools to real work, spot where they fail and protect the information they handle. These examples make that case more concretely than another course brochure ever could.
What to watch
- Whether rising course enrolments translate into sustained workplace use.
- How employers and workers handle accuracy checks and confidential client data.
- Whether productivity gains lead to better work, changed roles or simply higher expectations.
Discussion spark: When AI training helps workers finish tasks much faster, should the gains primarily mean shorter working hours, higher output or protection against job loss?
Sources and evidence
- Source update (29 October 2026, 03:59 UTC)
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