Smil examines growth as a general phenomenon across domains: the growth of organisms, of populations, of energy conversions, of artefacts including engines, ships, buildings and computers, of economies, and of civilisations. The book is long, dense with data and organised as a reference.
His unifying finding is that growth in nature and in engineered systems follows S-shaped trajectories: a slow start, a rapid expansion phase, and then a deceleration to a limit set by physical, thermodynamic or material constraints. He documents this across hundreds of cases with the fitted curves, and argues that the exponential phase visible in the middle is always temporary and is always mistaken for the permanent condition by those living through it.
He applies this to specific technologies, showing that engine efficiency, aircraft speed, crop yields and building heights all followed the pattern and plateaued, and to energy conversion, where the maximum efficiencies of most processes are now close to their thermodynamic limits. His treatment of computing is careful: he notes it is the outstanding exception in duration but argues the physical limits are approaching.
His conclusion is that continued material and energy growth on a finite planet is not available, and that the question is whether the deceleration is managed or forced.
The book is a reference work rather than an argument to be read through. Its data assembly is its value. Critics note that identifying S-curves after the fact is easier than predicting where a current curve sits, and that Smil's scepticism about future technological limits has been wrong before, particularly on computing.
Investors and operators who want quantified evidence on how growth trajectories end across technologies, populations and economies.
Distinguished professor emeritus at the University of Manitoba; writes quantitative histories of energy, food, materials and technical change.
Each book counts the physical inputs an economy consumes - joules, tonnes of steel, ammonia, cement - and establishes the historical rates at which past energy transitions actually moved. Those numbers let an investor size decarbonisation timelines and test claims about how fast an energy system can be rebuilt.
Chosen by shared topics, the entries that hold them, and the people who recommended both.