The author was able to analyze the adoption stages of new technologies and his examples of electricity followed by internet and how we try to get progressively incremental with technologies instead of trying to take a sharp jump has been captured very well with incredible examples. There is definitely some value addition done through this book and it explained very well about the advantages that startup that begin from scratch have over the big whale MNCs that fail to shake off their clout of experience and re-imagine products with a fresh perspective. The authors take on innovation in big companies i.e. the name sake show off innovation facilities, placed there to impress people rather than produce anything worth while, is precisely right. The requirement for an innovation officer is an oxymoron because innovation does not happen in silos, it ought to happen everywhere. The book is well written and well edited. But, towards the end the book became kind of chiche! Because that is where the author starts predicting the future. He considered four skills paramount i.e. Curiosity, Creativity, Emotions (Empathy), Networking (Relationships) - which the author believes are going to be relevant for many centuries. The author considers that he does not really need to code - because in the future, code will start writing its own code. The author also considers learning Chinese, not a wise idea since, Google Translate. This is where the book has lost its lusture. I am not sure if computers can ever produce code that would write its own code. That is an extremely dangerous barrier to cross, once that happens, the AI starts becoming conscious and can outpace development and growth exponentially. A machines that produces more machines begins with a thought that can build more thoughts i.e. an algorithm that can produce more algorithms without any human intervention! That would be a few minutes before Singularity i.e. a algorithm that can write another Algorithm will obviously create another algorithm that can produce more algorithms, thus in a few minutes the algorithms would expand exponentially, over crowding the computational space, searching for any and every space that they can hijack. That is where they will start becoming conscious and start producing their own digital space i.e. silicon wafers where than can reside. What the author fails to understand is that code that can write code, is an inflection point, i.e. such an intelligent code would wipe out 99% of earth's population. Thus not learning code because some day code will start producing code is funny! Similarly Google Translate is no where near perfection, forget about perfection, it can't properly translate sentence with more than 10 words. That is because the number of permutations and combinations of a word being placed in a different location with respect to other words determines its meaning and the combinations become a very huge number for each sentence. Not just that, the sound that I produce with a TTS reader does not understand, when to pause and when to speed up or how to change intonation of the words. i.e. it does not understand the meaning of the sentence of a whole, it could only speak it out loud, one or two words at a time. It cannot exclaim or it cannot ask a question! It can only robotically read one or two words at a time. Thus not learning a new language because someday Google Translate will be able to speak/translate the language in real time, isn't wise.