AI may make retirement less predictable for 55% of surveyed Hong Kong workers; 21% feel prepared

What did respondents expect from AI?

Fifty-five percent expected AI to make their retirement prospects less predictable than those of the previous generation. That is a response about what may happen in the future, not a count of people who have already experienced workplace disruption.

Twenty-one percent said they were fully or fairly financially prepared to achieve their desired retirement if AI changed their work, income or retirement plans. The figure reflects respondents’ own assessment; it is not an independent review of their finances or a forecast of whether they will retire as planned.

The results describe two related concerns: uncertainty about retirement and a sense of readiness for possible changes. They do not establish that AI caused respondents to feel uncertain, or that the changes they anticipate will occur.

Nor does the survey report job losses, pay reductions or changes in retirement timing. Expectations about what AI might do and records of what has happened are different kinds of evidence. The reported percentages speak to the first, not the second.

Who took part, and how was the survey conducted?

Participants had to be Hong Kong residents, at least 30 years old, working for pay and earning a minimum of HK$15,000 per month. The results therefore do not cover people outside those criteria, including younger adults and people not in paid employment.

The available reporting does not establish whether the respondents represent workers across Hong Kong’s ages, incomes or employment situations. The percentages should not be treated as estimates for every worker in the city.

T. Rowe Price conducted the survey, which focused on retirement. The reported details do not say how participants were recruited, whether they answered online or through another method, or how many people declined to take part. They also do not provide the question wording or answer choices behind the reported measures.

Those omissions leave readers without information that could help assess how the survey was carried out and how respondents interpreted terms such as financial preparedness. The reported results are not described as independently reviewed, and no individual respondent accounts are included.

The available reporting also does not provide employment or income data that independently measure AI’s effects. It therefore cannot show whether particular respondents had already experienced AI-related changes at work, or connect any such changes to their retirement plans.

What can the findings establish about AI disruption?

The survey offers a snapshot of how this group of respondents viewed possible AI-related uncertainty and their own preparation for it. It cannot establish the scale of AI-driven job change in Hong Kong, identify which occupations have been affected or measure changes to workers’ earnings.

A respondent may expect AI to affect work without having experienced a change. Likewise, feeling financially prepared does not establish what someone’s eventual circumstances will be. The survey records views and intentions, rather than observed employment or retirement outcomes.

That distinction also limits how the headline figures should be read: the survey does not show that AI has made retirement less predictable for 55% of Hong Kong workers, or that just 21% of the city’s workers are financially prepared. Both numbers apply to the survey’s eligible respondents, and the available methodology does not establish how far the findings extend beyond them.

To determine whether AI is changing jobs, income or retirement timing, evidence would need to measure those outcomes rather than expectations alone. The survey indicates what respondents anticipate and how prepared they say they feel; the reported findings do not supply that comparison.