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Revenue, employment improve with business AI use: MTI report

A Ministry of Trade and Industry (MTI) report released on Tuesday (Aug 11) found that businesses in Singapore saw revenue increase by 16% and employment rise by 8% one year after adopting AI, though productivity and profit showed no statistically significant increase in the first four years. The report, presented by Infocomm Media Development Authority senior economist Sarah Liu, also found that AI adoption boosted revenue by 24% in wholesale trade and by 21% in finance and insurance, where profit rose 73%.

read3 min views1 publishedAug 11, 2026
Revenue, employment improve with business AI use: MTI report
Image: Businesstimes (auto-discovered)

But there is no statistically significant increase in productivity and profit in first 4 years

Annabeth Leow

[SINGAPORE] Workplace use of artificial intelligence is linked to quick gains in revenue and employment, though not yet to higher productivity and profit, a new study has found.

Businesses here saw revenue increase by 16 per cent one year after adopting AI in their operations, while employment went up by 8 per cent in the same period, indicated a Ministry of Trade and Industry (MTI) report released on Tuesday (Aug 11).

Net employment growth does not rule out some job losses, but “these are more than offset by new hiring”, said Infocomm Media Development Authority senior economist Sarah Liu.

Gains for workers, businesses #

For now, the adoption of AI is mainly benefiting higher-income and mid-career workers – those earning S$7,000 to S$10,000 a month, and those aged 35 to 44 years. This is as higher-income workers are likely to be in roles where AI can automate routine tasks, which leaves them free to focus on tasks that require skills such as human judgement, while mid-career staff usually have the know-how to adapt to new workflow designs.

Businesses’ AI use has also pushed up hiring for better-paid and higher-skilled foreign Employment Pass holders, which the report attributed to demand for specialised expertise.

But when businesses intensify their AI use, employment also goes up for local workers in other wage bands and age groups, added Liu, who was previously a researcher in the MTI economics division. She suggested that a broader range of staff may be reskilled or redeployed as AI becomes more embedded in business processes.

Based on an analysis of AI-related job postings on government hiring portal MyCareersFuture, Liu identified 8 per cent of companies as users of AI.

Larger companies and those in sectors such as infocomm, electronics, professional services and finance and insurance were more likely than their peers to use AI.

Liu noted that AI use boosted employment by 18 per cent in wholesale trade – possibly by allowing businesses to expand on improved demand forecasting, inventory planning and logistics optimisation. The use of AI also increased revenue by 24 per cent in this sector.

AI-related headcount growth came in at 19 per cent in information and communications, along with gains of 23 per cent in revenue and 16 per cent in profit. Headcount grew by 10 per cent and revenue increased by 12 per cent for AI-using professional services firms.

Meanwhile, companies in finance and insurance that used AI posted the largest increases by sector – both in revenue, to the tune of 21 per cent, and in profit, which rose by 73 per cent.

These businesses also saw growth of 21 per cent in average local wages, which Liu said could reflect a shift towards higher-income and more productive workers.

New AI transformation ahead #

Recommending more tailored support for businesses to take up AI, Liu said: “This may entail identifying sector-specific AI use cases with larger returns, or the provision of support to smaller firms that may lack internal capabilities to effectively integrate AI.”

On the whole, though, she found that businesses did not see a statistically significant increase in productivity and profit in their first four years of introducing AI.

“This could be because the full benefits of AI may only materialise after complementary investments are made,” said Liu. She observed that the prior introduction of tech capabilities such as cybersecurity and data analytics are likely to lay the groundwork for AI adoption.

She also noted that the estimates reflect only the early impact of AI take-up until 2024, and not more widespread adoption or the development of new capabilities, such as agentic AI.

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