Japan’s AI Adoption Stalls: Why Firms Are Ticking On Hold

Sun Sep 06 2026 04:44:31 GMT+0000 (Coordinated Universal Time)

Japanese firms lag behind the US and UK in AI use, driven by risk aversion, low digital skills and legacy systems. The government’s new act aims to spark change.

Japan faces a large IT talent gap and a cautious culture that keeps AI use low, with only 8.4% of workers employing the technology. While the US reports 50% AI usage and the UK 32%, Japanese companies prioritize low‑risk tasks and await proof of reliability. The government’s AI Promotion Act seeks to roll out lighter regulation and drive investments, but existing workforce skills and antiquated systems remain major bottlenecks. Successive steps toward AI literacy in hiring and selective industry use hint at an eventual shift, but disrupting entrenched practices may still be a long‑term goal.

Facing acute labour shortages, ageing demographics and chronic productivity problems, Japanese companies should be fertile ground for the take‑up of artificial intelligence (AI). Yet, compared with the US and UK, adoption in many workplaces remains sluggish and cautious.

Japan’s response to AI is beginning to resemble one of the country’s slow‑moving Noh plays. Profit‑seeking corporations hesitate to deploy AI, fearing reputational damage and errors in client‑facing roles.

Data underscores the lag: only 8.4% of Japanese workers use AI as part of their job, according to the OECD’s late‑year report. By contrast, the US tops at 50%, the UK at 32% and Singapore at 56% of workers using AI multiple times a week.

Enter Austin Xu, co‑founder of Kuse AI, who says Japanese firms are conservative and risk‑averse. "There are organisations where process and consensus culture genuinely slow things down, and tolerance for AI mistakes is close to zero," he explains. "Some would rather leave a role unfilled than let a machine handle it.” In the US, AI colleagues are seen as helpers that gradually integrate into workflows, an attitude that is “let it try, then correct it.”

Professor Parrisa Haghirian of Kyoto University of Advanced Science echoes this view, noting that Japanese companies are highly sensitive to error and uncertainty. She notes that generative AI is used mainly for low‑risk tasks such as writing or summarising, whereas core operations remain human‑controlled.

In healthcare, the problem is even more pronounced: some hospitals have not fully digitalised patient files and still rely on paper documents, “like the Stone Age,” one employee said.

The Japanese government is aware of these gaps. Last year its AI Promotion Act was passed, using light‑touch regulation to encourage business investment. Tokyo has pledged to become “the world’s most‑friendly country for developing and utilising AI”.

While AI adoption by companies is rising, with 75% now using the technology versus 11% five years ago, the workforce still lacks the digital literacy needed to deploy it broadly. The Meiji University professor points to an almost 800,000 IT professional shortfall by 2030 and outdated computer systems—more than 20‑years old—in about 60% of firms.

Fortunately, shift is underway. Companies like Kanematsu are now hiring graduates with "AI literacy" as a key skill. One recent hire uses AI for email writing, summarising documents and recording meetings, but acknowledges that fully autonomous multi‑step AI systems are still rare in Japan.

Disruption may be a dirty word in Japanese society, but without it the productivity gains that the country needs could remain elusive. The challenge lies in making incremental but meaningful changes while maintaining the cultural preference for painless reform.