Women captured an even larger share of that expansion, filling about 20 million of the 26 million net new jobs added for women over the same period, according to calculations based on Statistics Indonesia’s Labour Force Survey data (Opens in new window). By 2025, services employed nearly 60% of all female workers.
Generative AI threatens to cut that stage short before Indonesia finishes building it. Older waves of automation displaced physical work – this one goes after desk work instead, drafting a memo, reconciling a ledger, replying to a customer. Stanford’s Digital Economy Lab pushes back on the doom framing (Opens in new window), pointing to firms that used AI to clear away a job’s tedious parts rather than replace the worker, and saw employees resolve more problems while customers grew happier. That holds for jobs built from many tasks (Opens in new window), where AI clears the routine and leaves judgment to people. It holds far less for jobs that were mostly one task, the way typing pools vanished once word processors arrived.
American back offices already show this, with customer service agents and bookkeepers proving most exposed. Indonesia’s entry-level clerical work sits in that category, absorbing the most women into formal employment.
The real risk is too few good jobs, with women having the most to lose.
This is not only an equity story. Indonesia’s female labour force participation rate sits at roughly 53%, well below Vietnam’s near-70% and Thailand’s high-50s. Indonesian women have historically climbed into formal work through exactly the clerical and administrative roles AI now performs fastest. Across ASEAN, women are more than twice as likely as men (Opens in new window) to hold occupations highly exposed to the technology, and a country cannot reach high-income status while leaving so many of its educated workers underemployed.
AI is unlikely to cause the kind of sudden job losses debated in economies with large outsourcing sectors, such as the Philippines. A greater concern is that Indonesia will not create enough good jobs to replace the ones AI reshapes. Entry-level office hiring slows, firms that adopt the technology pull further ahead of those that do not, and upward mobility narrows, especially for women. Yet the policy conversation keeps returning to training more AI engineers and courting more investment, which misses where Indonesia is actually constrained.
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