Multiple considerations are involved. One of them is to do with bioinspiration. To quote from my Against Whole Brain Emulation essay:
Engineers did not learn how to fly by scanning and copying birds. Nature may have provided a proof of the concept, and inspiration - but it didn't provide the details the engineeres actually used. A bird is not much like a propellor-driven aircraft, a jet aircraft or a helicopter.
The argument applies across many domains. Water filters are not scanned kidneys. The hoover dam is not a scan of a beaver dam. Solar panels are not much like leaves. Humans do not tunnel much like moles do. Submarines do not closely resemble fish. From this perspective, it would be very strange if machine intelligence was much like human intelligence.
The existence of non-biomimetic technology does not prove that biomimetics are inherently impractical.
There's plenty of recent examples of successful biomimetics... Biomimetic solar: http://www.youtube.com/watch?v=sBpusZSzpyI Anisotropic dry adhesives: http://bdml.stanford.edu/twiki/bin/view/Rise/StickyBot Self cleaning paints: http://www.stocorp.com/blog/?tag=lotusan Genetic algorithms: http://gacs.sourceforge.net/
The reason we didn't have much historical success with biomimetics is because biological systems are far to complex to just understand with a c...
In this essay I argue the following:
Full essay: http://www.gwern.net/Slowing%20Moore%27s%20Law