Late-Cycle Investment Theory: Foundations for the Coming Decade | Nicolas Colin

What It Covers

Nicolas Colin argues markets show signs of entering the maturity phase of the computing and networks revolution, using Carlota Perez's framework to explain why AI represents intensification rather than disruption.

Key Questions Answered

• •Technological Revolution Phases: Carlota Perez identifies five historical technological revolutions, each with four phases: eruption, frenzy, synergy, and maturity. The computing and networks era began in 1971 with Intel's microprocessor invention and now shows clear maturity phase characteristics.
• •Market Concentration Signal: Stock market concentration in seven dominant tech companies mirrors the Nifty Fifty phenomenon of the late 1960s, indicating winners have emerged and secured positions. This concentration prompts investors to seek returns elsewhere as capital piles into same stocks.
• •Financial System Reset Pattern: Financial systems are the last infrastructure to transform in technological revolutions. The 1971 Nixon shock ended Bretton Woods constraints, enabling fifteen years of financial market reinvention that supported thirty more years of economic growth until the 2008 crisis.
• •AI as Continuity: ChatGPT's rapid market adoption and quick replication by Meta and Google within three months demonstrates AI represents deepening of existing computing and networks paradigm rather than radical innovation requiring complete mental model restart like venture capitalists often assume.