Moore's law is often used to predict when human-level artificial intelligence will be achieved. But the
single-processor performance increase predicted by Moore's law ended in 2004 (Computer, January
2011, pg 31). This places limitations on some, but not all routes to human-level AI. Inherently parallel
approaches (like genetic algorithms for example) can still be expected to exhibit performance growth
close to that previously seen. The end of Moore's law for the single processor simply reduces the
number of viable approaches to (human level) AI.