Japan's Businesses Lag in AI Adoption Due to Risk Aversion and Workforce Challenges
Cultural conservatism, an aging workforce, and a focus on employment stability contribute to Japan's slow uptake of artificial intelligence.
Japanese businesses are exhibiting a cautious approach to adopting artificial intelligence (AI), a stance attributed to a combination of cultural risk aversion, an aging workforce, and a prioritization of employment stability over rapid technological advancement. While AI is discussed at governmental and corporate levels, its actual implementation in many Japanese firms remains limited, with only a small fraction of employees utilizing the technology for basic tasks.
Experts point to several underlying factors hindering widespread AI adoption. A significant challenge is a perceived lack of digital literacy among the workforce, despite a general affinity for gadgets. This is compounded by a projected shortfall of nearly 800,000 IT professionals by 2030. Furthermore, many companies operate on outdated IT systems, with approximately 60% of systems being over two decades old.
Professor Yasushi Ogasawara, an expert on Japan's social system and technology at Meiji University, highlights that Japanese companies face considerable pressure to maintain full employment. This societal expectation often outweighs the drive to implement AI technologies that could lead to job losses. While the government advocates for reskilling and digital skills development, adapting the human resources to these new demands is a slow process when the primary objective is to preserve existing jobs.
However, there are signs of change. Some companies are beginning to prioritize "AI literacy" in their recruitment of new graduates. Major firms, such as the trading company Kanematsu, are actively hiring graduates with these skills. Uta Yamaguchi, who joined Kanematsu in April, reports frequent use of AI for tasks like drafting emails, summarizing documents, and processing meeting recordings. Despite these individual advancements, Yamaguchi notes that AI systems capable of autonomously handling complex, multi-step work, which are more common in the United States, are still rare in Japan.
Ogasawara suggests that "change in Japan is limited" and that the societal expectation of "painless reform" makes drastic technological shifts difficult. This reluctance to embrace disruption, while preserving stability, could impede the productivity gains that Japan needs to remain competitive globally. The narrative suggests a fundamental tension between Japan's cultural emphasis on social harmony and employment security, and the transformative potential of artificial intelligence.