How can HR leaders navigate the fast-paced adoption of AI at work?
Organisations in Singapore are entering a transition window in AI adoption where chief human resources officers and chief people leaders will have a major role in, according to a new report from LinkedIn.
The report defined this transition window as the temporary period where technology is advancing faster than the systems designed to support workers and organisations.
This period is observed in Singapore through three clear patterns:
- AI talent demand is growing four times faster than workforce supply
- Workforce pressure today is driven more by macroeconomic slowdown than by AI-driven job displacement
- Small- and medium-sized businesses are falling behind large enterprises in AI readiness
"CHROs and CPOs play a central role in this transition by segmenting capabilities across the AI stack, embedding AI into how work is done, and managing the trade-offs between speed and readiness," the report read.
It underscored that the question is not about whether AI will reshape work, but whether organisations can align skills, roles, and capability-building fast enough to capture its value.
"Success will be shaped less by how fast organisations adopt new tools, and more by how well they align capability building, work redesign, and adoption pace," it added.
Navigating the transition window
The transition window in Singapore, while temporary, creates mismatches that may widen amid the pace of change today, according to the report.
It noted that capability segmentation will be essential in solving the AI talent needs in organisations.
"With demand for AI engineering talent far outpacing supply, external hiring alone is increasingly fragile and unsustainable," it said. "At the same time, especially for SMBs, AI strategies cannot default fully to in-house."
"The practical shift is towards deliberate capability segmentation: buying or insourcing foundational AI where scale matters, while building internal capability in integration and oversight, and raising AI literacy across the broader workforce."
The report also underscored the importance of timely capability building in the workforce, amid the risk of widening mismatch in skills and roles as firms adopt the technology at different speeds and varying levels.
"Organisations that delay capability-building risk compounding gaps, while those that move too quickly without redesigning workflows risk underutilising AI investments," the report read.
Meanwhile, workforce strategies should shift from training programmes to work redesign, according to the report.
This means raising AI readiness by embedding the technology into day-to-day roles rather than relying on stand-alone training amid the fast pace of AI development.
Embedding AI includes rotating talent through AI-enabled projects to build judgement and domain context through experience, as well as updating performance and progression criteria toward effective human-AI collaboration.
"Organisations that treat AI capability as an add-on will struggle to scale beyond pilots, while those that redesign work strategically will deliver results," the report read.
