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Johnathan Sim, Domain Chair, Technology, Innovation & Analytics at Temasek Polytechnic School of Business, outlines how AI is reshaping jobs, why organisations must move beyond basic adoption, and how redesigning work, building AI literacy, and strengthening human skills will drive productivity and competitiveness in Singapore’s evolving workplace.
The nature of work is evolving rapidly in an AI-enabled environment. Tasks that once required significant time and effort can now be accelerated through the effective use of generative AI. However, the real shift extends beyond speed. It lies in how time is redeployed towards higher-value activities, such as refining ideas, strengthening analysis, and improving decision-making.
Productivity is no longer defined by hours spent on a task, but by how effectively individuals leverage AI to enhance quality and outcomes.
Those who can use AI to iterate quickly, apply sound judgement, and tailor outputs with precision will have a clear advantage.
This signals a broader transformation across the workplace. Organisations must ensure their workforce is not only familiar with AI tools but also be equipped to apply them strategically. Readiness will depend less on technical adoption alone, and more on the ability to integrate AI into how work is approached, evaluated, and delivered.
AI adoption is no longer optional
The pro-AI agenda outlined in Budget 2026 underscores its role as a foundational driver of Singapore’s economic transformation.
While AI is already delivering efficiency gains by automating routine tasks, such as data processing and report generation, its deeper impact lies in redefining the nature of work. Roles are shifting from execution to interpretation, with employees increasingly expected to validate outputs, exercise judgement, and translate AI-generated insights into decisions.
The greater risk today is not immediate job displacement but the failure to integrate AI effectively. This requires organisations to re-examine work at the level of tasks rather than job titles — identifying what can be automated, what should be augmented, and where human judgement remains essential.
Organisations that take a deliberate and structured approach to AI adoption will be better positioned to unlock value, while those that delay risk falling behind in both productivity and capability.
How AI will reshape jobs over time
In its early stages, AI is often introduced as a productivity tool, enabling faster drafting, analysis, and ideation. In many organisations, it is layered onto existing roles, improving efficiency without fundamentally changing job design.
Over time, this approach will prove insufficient. Roles will be restructured in three key ways.
- First, they will be augmented, with humans and AI working in tandem, each contributing complementary strengths.
- Second, they will be enhanced, enabling individuals to deliver greater impact within shorter timeframes.
- Third, some roles will evolve towards orchestration, where individuals coordinate multiple AI systems or agents performing tasks previously handled by single roles.
Beyond individual jobs, AI will reshape entire industries by driving greater data integration, responsiveness, and interconnectivity. At the same time, distinctly human capabilities such as critical thinking, empathy, and ethical judgement will become more important. Value will increasingly lie in the ability to interpret context, exercise discernment, and make sound decisions.
AI is also accelerating what economists describe as “creative destruction”, where existing business models are disrupted as new ones emerge. In the media and content sector, generative AI is transforming how content is created, edited, and distributed. While some traditional roles may diminish, new functions are emerging — including AI content strategists and workflow designers who oversee AI-driven production systems. Competitive advantage will depend not only on producing content at scale, but on curating, directing, and differentiating it effectively.
What organisations should prioritise
Organisations must move beyond viewing AI as a tool and recognise it as a catalyst for transformation.
First, roles should be redesigned to maximise the complementary strengths of humans and AI. This involves breaking work down into tasks and determining how each can be optimally performed — whether through automation, augmentation, or human judgement.
Second, organisations must invest in skills that complement AI. While technical proficiency remains important, capabilities such as critical thinking, communication, creativity, and sound judgement will increasingly differentiate individuals in an AI-enabled workplace. Partnerships with educational institutions can accelerate this process. Temasek Polytechnic’s FutureX centre, developed in collaboration with Amazon Web Services, integrates hands-on learning with industry-relevant skills and professional certifications to strengthen AI and digital capabilities.

Third, learning must be embedded into the flow of work. As roles continue to evolve, continuous learning should not be treated as a separate activity, but as an integral part of daily operations. As a continuous education and training provider, Temasek Polytechnic has integrated AI literacy across disciplines, ensuring that learners are equipped not only to use AI tools, but also to critically assess, validate, and apply them responsibly.

The way forward
Organisations that succeed will not necessarily be those that adopt the technology most rapidly, but those that invest most effectively in their people. This requires a shift in mindset — from focusing primarily on efficiency to building capability, from managing jobs to redesigning work, and from treating learning as separate from work to embedding it within daily practice.
AI does not replace human thinking; it amplifies it. The central challenge is whether organisations are prepared to rethink how work is structured and to develop the capabilities required to remain relevant.
In this context, AI literacy will become as fundamental as digital literacy is today.
It will no longer be a specialised skill, but a core competency that enables individuals to work more effectively, adapt continuously, and thrive in an evolving workplace.
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