KPMG's 2026 outlook found nearly half of respondents, 47 per cent, identified AI understanding and application as a priority employee skill, up from 20 per cent one year earlier.
The same report said organisations face practical AI challenges, including vendor quality assessment, data privacy, cybersecurity and shortage of internal expertise.
On 5 March 2026, Hong Kong regulators launched GenA.I. Sandbox++ covering banking, securities, asset and wealth management, insurance, MPF and stored value facilities.
Our perspective
AI can remove repetitive work and create room for better thinking. Curious candidates and employers who train with patience will be better placed than teams that ignore the shift.
Our advice to HR partners
HR teams should update job descriptions and interview questions where AI assisted reporting or workflow automation is now part of the role, and support staff with training.
Where AI is changing work first
AI is appearing most quickly in repeatable information work, including reporting, document comparison, customer information handling, recruitment workflow and first-draft communication.
Candidates do not need to become AI engineers for every role. They should learn to use AI responsibly, check outputs, protect data and know when human judgement is required.
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