Thus did Toffler and his ilk spawn a "future-making" industry.
Nowotny's quarrel with that is that the only thing certain about living is death, so how can the shape and nature of the future be predicted, let alone planned for, with any certainty?
Her aim in the book, then, is to show why and how everyone can best prepare himself for times when life turns unpredictable. The first to-do on the list? Stop seeking predictions, forecasts and the like.
Those in the business of prediction and forecasting, she notes, base their projections on how a set of circumstances played out in the past.
But real life, just like United States presidential candidate Donald Trump's mood, can turn on a coin toss - witness how he flip-flopped on a bawling baby during his speech. "Probabilities," she notes, "are a forceful reminder that reliance on past extrapolations has limited value because things can be otherwise."
Nowotny is an Austrian sociologist who helped set up the European Research Council in 2007. The well-endowed council is made up of independent-minded scientists who assess and award research grants to fellow scientists for them to pursue exciting ideas with no guaranteed outcomes, compared with the usual R&D projects where many governments insist their brainiacs deliver results in a short time.
She was the council's president from 2010 to 2013, and is now Professor Emerita at the Swiss technological university ETH in Zurich, as well as a visiting fellow at Singapore's Nanyang Technological University.
She studies how society interacts with, and informs, the development of science and technology. She is particularly interested in how rapidly technology is changing the way humans behave.
The thrust of her argument, then, is that you should always be mindful of the context - the time, place and milieu - in which a claim, an assertion, a promise or a projection is made. Doing so will help you choose how to respond well to change.
For example, she notes, in 2013, search engine giant Google used its snazzy IT tools to chart global influenza trends. The snag was that it relied on algorithms alone, not real interviews with doctors or on- the-ground surveys of flu patients.
Google wound up, among other things, erroneously reporting double the amount of flu-stricken folk who actually visited a doctor. It was, says Nowotny, "data hubris, the assumption that big data is a substitute for, rather than a supplement to, traditional data collection and analysis". Context matters, and matters more than ever before.
As another example of the perils of ignoring context, she refers to the painful process that infertile spouses have to go through to have babies. While in-vitro fertilisation (IVF) has improved by leaps and bounds, society is still playing catch-up with science on the question of how ethical such science is.
IVF, she points out, "raises further questions about the future of kinship and parenthood". This would prove problematic for communities who are not like the Baruya of Papua New Guinea, who consider all your father's brothers as your father too, and all your mother's sisters as your mothers.
A third example is key performance indicators, which she says "induce compliance and implicit consensus with what is set out to be achieved".
But, she points out, because an employee's past performance goes on record and this record sticks to him well into the future, it may produce "perverse effects".
"Typically," Nowotny notes, "they start gaming against the system. They may discover alternate, less demanding and less costly ways of performing."
And unless the employee's workplace has a robust feedback loop to curb such gaming, the workplace will suffer in the end.
The "cunning" in her book's title refers to how uncertainty is like a perpetually prevaricating person, one who can never make up his mind. Harness that prevarication, then, to your advantage, she says, by first accepting the fact that anything can happen any time.
Then learn the many ways in which you should respond to different worst-case scenarios, while being open to new solutions. That, she stresses, is how scientists should approach their research - and how one should live life.
She says that cunning is akin to elpis, the tiny creature left in Pandora's box, which the mythological character shut almost too late after releasing myriad evils from it. Elpis, says Nowotny, is not hope, but something "capable of absorbing what we anticipate and to metamorphose into what we wish it to be".
Being resilient, she shows in ancient and recent examples from science and literature, is not about being able to roll with any punch thrown at you, but doing a bit of lateral thinking to avoid the punch in the first place. For example, she cites Italian journalist Tiziano Terzani. In 1976, Terzani was in Hong Kong. He had his fortune read there and was told that he would very likely die in an air crash in 1993.
So, in 1993, he travelled all over Asia, but only by land and sea. He recalled that experience in his best-selling 2002 book A Fortune- Teller Told Me, which, incidentally, is one of the best travelogues of the 20th century. Terzani died of stomach cancer in 2004.
Nowotny's slim book is a big well of wisdom. You may find your sense of wonder refreshed if you locked in some time to drink deep from it.
FIVE QUESTIONS THIS BOOK ANSWERS