The book will primarily appeal to those with an interest in applying complexity science and biological analogies through information technology to large organizations. Most of the applications here require tens of millions of dollars to do. So for those in small organizations, the examples will seem out-of-reach.
The main advantage of this book over similar books is that it has more and more contemporary examples and a further development of its concepts than the predecessors that I have read.
From looking at technological developments that are available now and those that are in process, Christopher Meyer and Stan Davis see the maturing of the information technology revolution occurring at the same time as the commercialization of various "molecular" technologies (such as nanotechnology, biotechnology and materials science). Because the two fields operate conceptually in similar ways, the authors point to a convergence that has begun between the two fields that will probably grow in the future. They also draw key lessons from the way that evolutionary biology operates to prescribe for business organizations in the future.
Here's the book's structure:
Introduction
Part I The Next Ten Years
Chapter 1 Economic Evolution: Learning from Life Cycles
Part II Code Is Code
Chapter 2 General Evolution: Learning from Nature
Chapter 3 Biology and the World of the Molecule
Chapter 4 Information and the World of Bits
Part III The Adaptive Enterprise
Chapter 5 Adaptive Management
Chapter 6 Seed, Select, and Amplify at Capital One
Chapter 7 Breeding Early and Often at the U.S. Marine Corps
Chapter 8 Creating the Capacity to Respond at BP
Chapter 9 Born Adaptive at Maxygen
Chapter 10 Becoming an Adaptive Enterprise
Part IV Convergence
Chapter 11 The Adjacent Possible
To me, the most interesting parts of the book involved advanced experiments and applications of technology to solve problems. Most of these I had not read about before. For the most part, these are written in ways that a lay person can easily follow.
The organizational examples were helpful to applying the concepts of an adaptive enterprise. Apply the six memes (gene-like qualities of ideas) for managing:
Self-organize; recombine; sense and respond; learn and adapt; seed, select, and amplify; destabilize.
Of the organizational examples, I found the Capital One and Maxygen examples the easiest to understand. The BP and U.S. Marine Corps examples seemed a little sketchy.
My favorite example in the entire book was of artist Eduardo Kac turning Genesis 1:28 into Morse code and translating the results into a DNA sequence. He then had the sequence inserted into live bacteria, and displayed the bacteria publicly where viewers could zap the bacteria with UV to create potential mutations. Now, that's technological convergence!
The book ends with some speculation about new applications of convergent technologies such as matter compilers, personal hospitals, universal individual lifelong mentors, experience machines and social-science stimulators.
Don't let the book's conceptual structure scare you off. Underneath the new definitions and concepts, there's a lot of common sense that most will agree with: Get experience fast; learn from your experience; keep it simple; be agile; get to the most valuable places first with the most; and communicate in all directions.
After you've finished reading the book, I suggest you think about how the book's principles could be accomplished on a shoe-string by an organization that you know well. In that way, you will play a valuable role in being a commercializer of advanced laboratory results.