That's very unlikely as people are incredibly biased against algorithms: http://lesswrong.com/r/discussion/lw/lsc/link_algorithm_aver...
There are many areas where even really simple algorithms have been shown to outperform humans for decades: http://lesswrong.com/lw/3gv/statistical_prediction_rules_out...
Even when humans are given the predictions of the algorithm and allowed to take that into account, they still do worse than just the algorithm on it's own. Sure the human might fix an obvious error of the algorithm in one case, but then makes 10 other worse errors elsewhere.
Despite that organizations are very slow and hesitant to adopt them. There are massive regulatory and liability issues in many areas. And people are just generally biased and scared of them. Even on tech friendly places like hacker news, your comment is at the top of the thread. I remember a post awhile ago about using machine learning to detect fraud in loans in the third world, and half the comments were about how evil and racist such and unfair such an algorithm would be. Not realizing humans are all of those things.
People are very overconfident in human ability despite overwhelming evidence we suck at predicting things and doing anything statistics related. Human error is just ignored or seen as an inevitable fact of life.