Bad predictions cost us in wasted investment and
careers. If we look at the pattern of bad predictions we can
perhaps see how to do better. (source: Herb Brody,
"Great Expectations: Why Technological Predictions Go Awry" Albert H.
Teich, Technology and the Future, sixth edition (New York: St.
Martin's Press, 1993).)
- The people who are hoping to profit from a new
technology often make the most misleading predictions. They
necessarily want to promote what they are doing, but repeatedly
claiming a breakthrough when the problems of commercialization are not
yet solved is probably harmful even for them in the long run. Eg.
high-temperature superconductors, nuclear fusion.
- Even if the technology works (eg. robots) people
may not want to buy it. Who do you ask--the vendors?
Obviously biassed. But consumers, even businesses buying factory
equipment, may be biassed too because they don't realize how attitudes
towards the technology will shift (eg. fax machine).
- it also depends on how you use the technology--in
1991 Brody is writing about cd-roms vs. bigger hard disks, but the
cd-rom finally has taken off in areas with a great emphasis on graphics.
- can existing technologies improve to compete with
new technologies?--eg. cameras that store images in digital form vs.
improvements in silver-halide film.
- consumers are unwilling to spend money on small
improvements, particularly if they seem inconvenient. You also
need the whole system, such as stores to rent videotapes or videodisks.
- truly innovative technologies often take 10 to 25
years to enter widespread use.
Brody's 1991 list of popular predictions:
neural-network computers, shirt-pocket telephones, hypermedia,
computer-generated virtual realities, intelligent
highway systems .
Other issues: