Key Details
The ADB Institute’s Managing the AI Transition: Upskilling and Reskilling Asia’s Workforce in the Age of Automation is a policy brief drawing on earlier research. It sets out where disruption may arise and proposes seven responses across skills, employment and worker protection.
Work affected: AI is increasingly capable of routine cognitive tasks, including data entry, document processing, basic coding and first-line customer support. The brief identifies India’s IT and BPO sectors as particularly relevant examples.
Skills response: It proposes AI and data literacy in education, employer-linked technical and vocational training, and short, certified courses that workers can take throughout their careers.
Support during transitions: The recommendations include portable training entitlements, income support and social protection that can reach informal and gig workers, not only employees with employer-sponsored benefits.
Workplace and firm policy: The brief calls for help to small firms adopting AI alongside worker training, and for safeguards concerning monitoring, privacy, discrimination and human oversight.
Routine Service Tasks Join the Automation Debate
Automation has long affected repetitive work in manufacturing. The brief’s concern is that AI can now perform parts of routine office and service jobs too. In India, this makes entry-level work in IT and BPO an important part of the transition: tasks may change, some roles may shrink, and others may require workers to use AI effectively.
The brief argues that the consequences depend partly on how firms deploy AI. Using it to replace a task is different from using it to help an employee take on more complex work. It does not establish how many Indian jobs have already been displaced.
Learning Cannot Stop at Entry into Work
The proposed response spans students, new entrants and people already employed. Schools and colleges would place greater weight on AI literacy, critical thinking and practical problem-solving. Technical and vocational education would be designed more closely with employers, including for workers moving from routine roles into technology-supported ones.
For mid-career workers, the brief suggests portable learning entitlements and smaller credentials that can be accumulated over time. That is a departure from relying mainly on a degree earned before a career begins—or on training available only through a large employer.
Worker Protection and Firm Adoption Belong in the Same Strategy
Reskilling is harder when a worker cannot afford time away from paid work or has no clear route to another job. The brief therefore pairs training with transition income support, job-matching services and benefits that follow workers across jobs or platforms. These proposals are especially relevant to informal and gig workers, who may lack employer-funded training.
It also treats small firms as part of the workforce response. Support for AI adoption would be linked to training and changes in how work is organised, while workplace rules would address automated recruitment, performance assessment and monitoring. The brief’s seven recommendations form a policy agenda, not measures already adopted across Asia.
Policy Relevance
For India, the brief connects AI policy to an existing employment challenge: how to create better work while the tasks within jobs are changing. IT and BPO firms may need different entry-level roles and training pathways; smaller firms may need help combining technology investment with staff development. Education and skills institutions cannot resolve either change on their own.
The wider opportunity is to make training and protection portable beyond a single employer. That would serve workers moving between firms, platforms and forms of employment, while labour-market information on vacancies and changing skills could help training providers respond to actual opportunities. At the same time, clearer safeguards for workplace AI would address risks to workers that productivity-focused adoption policies may overlook.
Follow the Full Policy Brief Here: Asian Development Bank Institute, Managing the AI Transition