Damodaran Says AI Payoff May Shift Beyond Nvidia

The most crowded trade in technology may not be where the real money gets made.

That is the warning from Aswath Damodaran, the valuation professor investors listen to when market excitement gets too loud. His point is simple. AI may change business, but today’s obvious winners may not become tomorrow’s richest ones.

For Indian investors, this matters. Many portfolios now carry some AI flavour, directly or through global funds. The question is not whether AI is big. The question is who finally earns from it.

Nvidia may not be the final winner

Nvidia has become the face of the AI boom because its chips power the machines behind modern AI. Data centres need those chips. Cloud firms need those machines. Model builders need both.

That makes Nvidia a clear winner today. Damodaran is not denying that. He argues that markets have already spotted this part of the story.

He compares AI infrastructure to a giant factory. Chips, servers, cables, data centres and power supply make up that factory. Investors have already rushed into companies that build it.

But factories only matter if useful products come out. The bigger question is which companies will use AI to create services people actually buy, every day.

The next Amazon may be hidden

Damodaran’s comparison with the internet boom is sharp. During that period, investors first chased companies that built internet plumbing. Cisco became the symbol of that trade.

But the company that defined the internet era for consumers was Amazon, not Cisco. It used the infrastructure to change shopping, logistics and cloud computing.

He expects a similar pattern in AI. The largest long-term winner may not be Nvidia. It may not be OpenAI either.

That winner may still sit outside public markets. It may be a private company. It may even be a business that investors barely discuss today.

This is where retail investors need caution. The first winner in a boom often feels unbeatable. Then the market slowly shifts towards firms that turn the technology into daily habits.

The market is broader than AI

Damodaran also pushes back against one popular claim. Many investors say AI alone has carried US markets higher. He believes that view gives AI too much credit.

He pointed out that the AI trade has cooled recently, yet markets have held up. That suggests other sectors also support the rally.

This is useful for Indian investors watching global funds. A fall in Nvidia or other AI names does not always mean the whole market must crack.

Still, concentration remains a risk. If a ₹5 lakh global portfolio has heavy exposure to a few AI-linked stocks, even a 10 percent fall can wipe out ₹50,000. That is not a theory. It is household money.

The lesson is not to avoid AI. The lesson is to avoid treating every AI stock as destiny. Markets reward growth, but they punish overconfidence.

The jobs question sits underneath

Damodaran’s bigger warning is not just about share prices. It is about work.

He said the most bullish AI forecasts carry a dark assumption. If AI becomes as valuable as some projections suggest, it may replace a huge slice of white-collar work.

He mentioned lawyers, consultants, bankers and journalists as examples. These are not factory jobs. These are the jobs urban India tells its children to chase.

That is why this debate cuts close to home. A young professional paying an EMI does not think about AI valuation models first. She thinks about job security, salary growth and whether next year’s appraisal survives automation.

If AI weakens incomes for millions, another question follows. Who buys the products that AI companies create? A strong economy needs both productivity and purchasing power.

Damodaran does not expect the worst-case outcome. He also does not dismiss AI as empty hype. His middle path feels more realistic. AI will improve some jobs, shrink some roles and erase some tasks.

Investors need patience, not panic

For now, AI infrastructure spending continues. Companies are building data centres, buying chips and training models. This keeps money flowing into today’s big names.

But markets look ahead. If investors start asking whether profits can justify the spending, valuations can change quickly.

Indian investors have seen this before. Telecom, internet, renewables and fintech all produced early excitement. Some firms survived and scaled. Many others faded after the easy money moved on.

The hard part is timing. Selling every AI stock now may be as careless as buying every AI story blindly. The better approach is to ask basic questions.

Does the company earn real cash? Does it have customers who will stay? Can it raise prices? Can rivals copy its product easily?

These questions sound boring during a boom. They matter most when the boom matures.

The AI story is not ending. It is moving from spectacle to substance. For ordinary investors, workers and business owners, that shift is the real story. The winners will be those who turn AI into useful products, steady profits and better work, not just bigger promises.