Perform an Amazon search for INSEAD professor Philip M. Parker and you’ll see that he’s authored over 85,000 books. No, that isn’t a typo. The actual number, in fact, might even be higher (this New York Times story put him over 200,000). He hasn’t written each and every one in the traditional way, of course; to do so would take a person sixty years of writing nine books a day. Instead, he’s developed a system of computer algorithms that use publicly available information to author his works.
As this video demonstrates, many of his works are economic or market analyses and forecasts, but he also uses the technology to write about obscure medical topics – both genres that he’s able to succeed in because they are underserved by traditional authors.
Take the first Philip M. Parker work that comes up on an Amazon search: "The 2007-2012 Outlook for Lemon-Flavored Bottled Water in Japan". I can’t imagine that more than a few dozen people and/or firms on the planet are interested in this work (at most). No author or market research firm is going to write this book with such a low potential for sales and even if they did, the time and effort involved would make it expensive.
Mr. Parker, however, creates his books, on average, in half an hour and at a cost of about twelve cents (excluding printing). He can sell a single copy for $495 and make a handsome profit. If he doesn’t get any orders, he loses almost nothing. Multiply this opportunity by 80 to 200,000 books and it isn’t hard to see how he can be successful. It’s a great example of a technology facilitating a successful low-cost business model.


