Where to Play, How to Win

Chegg, 2021. Market cap: $14.5 billion.

If you'd asked any analyst that year to point at a company that had nailed strategy, Chegg would have been near the top of the list. They'd reinvented themselves four times — from a messaging board, to a textbook rental service, to homework-help-by-subscription. Each pivot was textbook "where to play" + "how to win."

Their answer at peak: where = online homework help. How = thousands of contractor experts answering questions on demand. The model worked. Revenue grew 25% a year.

Then November 2022. ChatGPT launched.

The students Chegg served suddenly had instant, free, infinite homework help — better than what they'd been paying for. The contractors Chegg paid to write answers were now competing against a service that wrote answers for nothing, in milliseconds.

Chegg's strategy was still excellent. Their problem was that the playing field they had perfected themselves for no longer existed.

May 2023, earnings call. The CEO admits that ChatGPT is killing them. The stock drops 50% in a single day. By 2024, they're down 90% from peak. Their answer to "where to play and how to win" — once seen as bulletproof — was now the thing that defined how badly they'd misread the moment.

This is what classical strategy gets wrong. It assumes the playing field stays still while you optimize your position on it. In an AI-driven economy, that assumption breaks every 18 months.

Now rewind 60 years. 1960. Singapore. A swampy island with no natural resources, no industry, no real economy. Independence had just come (and gone — they were briefly part of Malaysia and then kicked out). Half the population lived in slums.

By any classical strategy framework, the right move was to find a stable industry, pick a niche, optimize. Most people would have picked tin smelting, rubber, or banking — Singapore had small footholds in all three.

Lee Kuan Yew's team picked something else. They bet that the entire system of global trade was about to restructure around a new technology — the shipping container.

Their "where to play" wasn't a market. It was a future state of the system. Their "how to win" wasn't a competitive advantage in a stable industry. It was being the most modernized port in a world that was about to need one.

They built deepwater terminals before there was demand. They wrote customs regulations that fit the container, before the container was standard. They were betting on the system shift itself.

That bet paid for sixty years of growth. Singapore's GDP per capita went from below $500 in 1960 to over $80,000 today. They became one of the busiest ports in the world, then one of the wealthiest nations on Earth.

Two companies, two strategies, two opposite outcomes. Chegg perfected its game inside a system that was about to disappear. Singapore bet on the new system before it arrived.

Both used the same strategic framework. The difference was what they were answering the framework about.

What most organizations need isn't an AI strategy. It's clarity on where to play and how to win in response to the conditions AI creates.

— From Reshuffle, Chapter 12 (the closing keystone)

The honest test of any AI roadmap: are you optimizing your current position, or are you betting on the future state of the system?

Chegg's plan was optimization. Singapore's was a system bet. The question for your company is which one you're writing. Most "AI strategies" presented in 2026 are Chegg's. Few are Singapore's.

Sangeet on this in Chapter 12 ↗