AIToday
Top Companies' AI MovesTop Companies AIPublished: Jun 25, 2026, 06:30 JST

Japan's drugmakers race to embed AI—or risk falling behind

Japan's drugmakers race to embed AI—or risk falling behind

3 Key Points

  1. What happened

    Japanese drugmakers including Takeda Pharmaceutical, Chugai Pharmaceutical, and others disclosed in their 2025–2026 financial filings that they are deploying AI across research, manufacturing, and supply chains. Takeda reported that 63% of employees actively use generative AI tools as of March 2025, up 16 percentage points in one year; Chugai said active users exceed 60%.

  2. Why it matters

    Pharmaceutical companies now view AI delays as a material business risk. Daiichi Sankyo explicitly warned that falling behind in AI innovation could erode research-and-development advantage and lower competitive strength. AI has shifted from an IT-department project to a core business strategy, affecting how companies develop drugs, predict inventory, and manage operations—meaning uneven adoption across firms may widen the performance gap by 2030.

  3. What to watch

    Mid-tier firms lag significantly—only a handful mentioned AI in their filings, and those that did offered little detail. Large companies like Takeda are embedding AI across the entire value chain (from target discovery to commercialization), while Chugai and others partner with external firms (Chugai with SoftBank on autonomous AI agents for clinical development) to secure competitive advantage in drug productivity.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

FAQ
Which Japanese drugmakers are leading in AI adoption?
Takeda Pharmaceutical and Chugai Pharmaceutical report the highest active usage rates, exceeding 60%, and have built company-wide AI platforms. Daiichi Sankyo, Shionogi, and Otsuka Holdings are also advancing drug discovery and supply-chain applications. Astellas Pharma and Eisai disclosed no individual projects in their filings to date.
What are drugmakers using AI for?
The primary focus is research and development—including drug discovery platforms, clinical development, and predicting new technologies. Secondary applications include manufacturing (predictive equipment maintenance), inventory optimization, and supply-chain forecasting. Sales support received minimal mention in Japanese filings, unlike foreign peers.
What is slowing broader AI adoption?
Personnel and organizational readiness are the main constraints. Otsuka launched an "Otsuka Digital Academy" in July 2025 to train leaders and raise employee literacy; Kyowa Kirin is doing the same, building digital project planners and bottom-up literacy education. Both companies are prioritizing human infrastructure before full rollout.
Top Companies AIRead Original Article

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleNikkei hits record 72,353 yen on geopolitical relief