AI may be real, transformative, and economically valuable—and still become a bad investment at the wrong price and on the wrong timetable.

The AI boom is usually framed as a technological question: How powerful will the models become? How quickly will adoption grow? How much work can AI automate?

AI’s Time to Maturity asks a different question:

How long does AI need to turn enormous capital investment into durable economic value—and how long will capital markets allow it?

Haijian Xing examines the widening gap between T_value, the real time required for technology, infrastructure, organizations, and demand to mature, and T_capital, the much shorter timetable imposed by investors, quarterly earnings expectations, financing structures, and market valuations.

Using the book’s memorable “ninety-day hog” metaphor, Xing argues that capital can accelerate a process—but it cannot abolish the time a real process requires.

The AI build-out depends on far more than better models and faster chips. It increasingly requires data centers, electricity, transmission lines, cooling systems, transformers, land, financing, long-term leases, purchase commitments, and continuous hardware replacement. As AI becomes more capital-intensive, the critical question shifts from technological capability to marginal capital efficiency.

This book explores:

why financing capacity is not the same as physical capacity;
how AI is turning light-asset software companies into infrastructure-heavy businesses;
why power, grids, land, and equipment may become more important constraints than chips;
how long-term contracts and project financing can pull expected future demand into the present;
why AI companies can keep growing while their stock-market multiples fall;
how declining ROIC relative to WACC can signal a capital-cycle turn before profits collapse;
why free cash flow may matter more than accounting earnings late in the cycle; and
how to build a practical capital-stress dashboard instead of trying to predict the exact moment an AI bubble breaks.

The conclusion is deliberately narrower than “AI is a bubble” or “AI will change everything.”

Capital can accelerate maturity. It cannot command maturity.

For readers interested in artificial intelligence, technology investing, capital markets, infrastructure, energy, and the economics of technological revolutions.