Japan Lost 397 Companies Last Year - Not to Bad Strategy, But to Having No One Left to Hire
This is Part 2 of a three-part series on India's demographic dividend in the age of AI. In Part 1, we examined the inconvenient math – India's credential crisis, youth unemployment, and the AI threat to entry-level jobs. Today, we flip the lens.
Yesterday at the India AI Impact Summit, Vinod Khosla predicted India's IT and BPO sector could “almost completely disappear” within five years.
The audience was rattled. But here's what most headlines missed -- his next sentence: India's 250 million young people should be selling AI-based products and services to the rest of the world.
That second sentence is the one that matters. Because while India debates whether AI will take its jobs, the world's richest countries face an entirely different crisis.
They're running out of people. And AI isn't saving them.
The Great People Shortage
Japan's corporate bankruptcies topped 10,000 for the second straight year in 2025. Labour-shortage bankruptcies hit a record 397 cases -- up 36% (Tokyo Shoko Research, January 2026). These aren't failing businesses. They're viable companies that simply can't find humans to operate.
A Tokyo ramen chain closed three of five locations, not because customers stopped coming, but because there was no one to serve them. A 40-year-old hotel in Karuizawa can't offer dinner service -- it needs 40 staff but has fewer than 30. A papermaker runs two of three machines because it can't staff the third (Nikkei).
Lost economic opportunities from labour shortages: 16 trillion yen (~$100 billion), four times the 2019 level. 13,500 companies classified as "pre-bankruptcy", viable but paralysed. Japan's population declined by a record 908,574 in 2024 alone.
And Japan isn't alone. Germany needs 1.6 million workers and has the OECD's highest share of firms reporting severe vacancy difficulties. South Korea became a "super-aged" society in late 2024, fertility rate 0.72 (the world's lowest), and needs 2 million additional workers. The OECD's working-age population is already declining and will keep falling through 2060.
Won't AI Fix This?
No. The OECD addressed this directly in its 2025 Employment Outlook: AI is "by no means a substitute or silver bullet for a lack of human workers."
Japan has the world's highest robot density in manufacturing. It has deployed AI in hotels, security, food delivery, and elder care. Yet labour-shortage bankruptcies keep hitting records. Why? Because the shortages are in healthcare, hospitality, construction, logistics, and caregiving, where human presence, judgement, and physical capability are irreplaceable.
Japan can build a robot receptionist. It can't build a robot that earns a patient's trust during a cancer diagnosis. Germany can automate a production line. It can't automate the site foreman who manages a crew through rain and regulatory delays.
MIT Sloan's EPOCH framework identifies five capabilities AI struggles to replicate: Empathy, Presence, Opinion/Judgement, Creativity, and Hope. These are the capabilities in shortest supply, and highest demand, worldwide.
What This Means for India's 800 Million
Japan's median age: 49. Germany's: 47. India's: 28.
The world's advanced economies are haemorrhaging people. India has 800 million under 35. The question isn't "will India's youth find work?" It's "will they be ready for the work the world desperately needs?"
India must move from labour arbitrage, selling cheap hands, to intelligence arbitrage -- selling capable minds.
The real opportunity isn't just technical. The world's ageing economies don't just need engineers. They need people with the EPOCH capabilities (empathy, presence, judgement, creativity, hope) that no algorithm can simulate. India's young, multilingual, digitally-native workforce is the world's largest potential source of these capabilities. If we develop them.
Coming in Part 3
Japan's companies are going bankrupt for lack of people. India has people but can't employ them. AI automates cognition but can't replace judgement. These three facts suggest an extraordinary possibility -- if we build the right capabilities.
In Part 3: The three-layer opportunity framework, and why $200 billion in AI investment commitments announced at this week's summit mean nothing without the human infrastructure to absorb them.
Sources: Tokyo Shoko Research, Xinhua (Jan 2026), Nikkei, OECD Employment Outlook 2025, IMF Working Paper (2025), MIT Sloan EPOCH Framework (2025), Morgan Stanley, The Conference Board, BusinessToday (Vinod Khosla, AI Impact Summit 2026).