Waseda University launches podcast episode on aging, AI and Japan's economy
Waseda University released episode 2 of Season 3 of its English-language podcast on Sept. 24, 2026, focusing on how automation, inheritance and demographic change could shape Japan’s economic future. The episode also highlights the university’s English-based degree programs and upcoming season releases.
Why it matters: - Japan faces a shrinking workforce and a rapidly aging population. - The episode frames automation and AI as tools that could support productivity, but not as a complete fix. - The discussion links economic growth to inheritance and other intergenerational transfers, a factor that can affect inequality and long-term opportunity. - Waseda is using the podcast to reach international audiences and prospective students interested in Japan-focused research.
What happened: - Waseda University released episode two of Season 3 of its English-language podcast series, “Rigorous Research, Real Impact,” on Sept. 24, 2026. - The episode is titled “Japan’s Economic Future: Aging, AI, and Automation.” - Host and Waseda student Kanon Kurabayashi speaks with Professor Akihiko Kaneko of the Faculty of Political Science and Economics. - The episode is available for free on Spotify, Apple Podcasts, Amazon Music, and YouTube.
The details: - Kurabayashi and Kaneko discuss how automation, AI and demographic change may shape long-term economic growth. - Kaneko examines how technological change interacts with inheritance and bequests. - The episode argues that the motives behind bequests can have major implications for economic growth. - Kaneko focuses on Japan’s aging population and shrinking workforce. - The conversation says automation can help raise productivity. - The episode also emphasizes education and targeted retraining to address inequality between workers. - Kaneko introduces Waseda’s English-based degree programs as a setting for students to study global economic issues in a multilingual environment. - The episode says students can build connections with peers from around the world. - Season 3 features eight Waseda researchers paired with three student hosts. - Episodes run about 15 minutes each. - Topics this season include Japan’s economy, labor and migration in Japan, business in Japan, Japanese culture and AI. - Waseda says the podcast is aimed at prospective international students, people considering study or research in Japan, and listeners interested in Japanese society.
Between the lines: - The episode treats inheritance as an economic variable, not just a family issue. - That framing suggests wealth transfers may matter as much as wages and productivity in understanding Japan’s future growth path. - Waseda is also positioning the podcast as a recruitment and outreach tool, not only a research product. - The English-language format reinforces the university’s push for global visibility.
What's next: - Episode 3 is scheduled for Oct. 14, 2026, with Assistant Professor Shahida Pervin on migration, labor shortages and Japan’s economic future. - Episode 4 is scheduled for Nov. 4, 2026, with Professor Shinji Hasegawa on sustainable business. - Episode 5 is scheduled for Nov. 25, 2026, with Professor Naoko Nemoto on whether doing good can make good business. - Waseda says the season will continue with conversations on current social debates and trending news. - Waseda currently offers English-based degree programs at 6 undergraduate schools and 15 graduate schools. - The university says it welcomes the highest number of international students per year in Japan, citing the 2025 Japan Student Service Organization report. - In the QS World University Rankings by Subject 2026, Waseda placed in the top 100 globally in Arts & Humanities at No. 61 and Social Sciences & Management at No. 78.
The bottom line: - Waseda is using a podcast episode on aging, AI and automation to link Japan’s economic challenges to education, inequality and wealth transfer, while broadening its global academic reach.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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