For leaders, the strategic issue is not whether employees will use AI, but who decides how that use is shaped, measured and rewarded. The articleโs core insight on career reinvention points to a management challenge: if AI is framed only as an efficiency lever, organisations may get short-term productivity but lose trust, retention and internal mobility. If it is framed as a capability platform, it can support role redesign, reskilling and stronger employee commitment.
This shifts the centre of gravity from technology deployment to operating model design. CIOs, CHROs and business heads need clear decision rights on which tasks are delegated to AI, which roles are redesigned, and which skills are expected to be built in-house. Without that governance, managers may encourage experimentation unevenly, creating pockets of progress alongside confusion, compliance risk and unfair access to learning opportunities.
The trade-off is real: faster adoption can expose skill gaps, while slower, more controlled adoption can preserve consistency but frustrate talent. Leaders should therefore ask three practical questions: which employee groups are most exposed to entry-level compression, what evidence will show that AI is creating meaningful work rather than just removing tasks, and how will internal mobility be supported when traditional career ladders weaken?
For portfolio and transformation leaders, the lesson is to fund AI enablement as change management, not only as software spend. That means pairing tool rollouts with manager training, role-based learning paths and metrics that track adoption quality, not just usage volume. The organisations likely to benefit most will be those that treat career reinvention as a managed workforce transition, with explicit accountability for outcomes.
Reinterpretation and experimentation can help individuals move from anxiety to liberation in this era of tech disruption.
In the new edition of โThe INSEAD Perspective: Spotlight on Asiaโ podcast series, Sameer Hasija, Dean of Asia at INSEAD, speaks with Winnie Jiang, Assistant Professor of Organisational Behaviour, about how organisations and individuals in Asia are changing the way they think about work, training and careers.ย
In particular, Jiang identifies a fundamental shift from “institutionalised” to “uninstitutionalised” career transitions. Unlike the past, where career changes โ such as moving from journalism to law or banking to baking โ followed clear routes and required standard qualifications, todayโs job landscape has been totally upended by AI and geopolitical uncertainty.ย
This makes identifying “safe” next steps, or a stable career that can guarantee success nearly impossible, creating real anxiety. AIโs transformation of how skills are learned and a global reduction in entry-level hiring are further feeding a growing unease among many employees about their futures. ย
For Jiang, the key to navigating this disruption is not to resist technology but to actively embrace experimentation. By becoming experts in specific AI tools, individuals donโt just increase company productivity, they can also enhance their own roles and add greater meaning to their work.
Jiang illustrates this with her research of a Chinese automobile firm that successfully shifted its narrative around AI from cost savings to employee empowerment. By framing the technology as a tool to delegate mundane tasks, the company freed up employees for more meaningful work, turning their initial fear into deeper engagement and greater job satisfaction.ย
Nobody can tell which career is going to promise you the stability and the status anymore. – Winnie Jiang
The shift towards “uninstitutionalised” careers may offer another positive. In many of Asiaโs collectivist and “face” cultures, where career choices have historically been tied to family pride and stability, current uncertainty may ironically liberate younger generations to pursue work that they find personally fulfilling.ย
Schools like INSEAD have an important role to play in this transformation. It is their responsibility to help people and organisations turn technological disruption into an opportunity for professional growth that benefits both the firm and the individual.
Edited by:
Nick Measures
About the author(s)
is Dean of Executive Education and Asia Campus as well as a Professor of Technology and Operations Management at INSEAD.
is an Assistant Professor of Organisational Behaviour at INSEAD. Her research focuses on the dynamics of meaning-making at work, work as a calling, career mobility and transitions, and personal and professional development.
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https://knowledge.insead.edu/career/ai-and-career-reinvention
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