The article is sort of interesting and I hope people take a gander rather than headline skim to affirm a bias and internally bridge the narrative gap.
The article says the report blames the lack of payoff on lack of implementation rather than on AI tooling itself. That is, companies need to fully integrate with AI because piecemeal isn’t working. Quite the opposite of what many people commenting here are assuming the takeaway was.
That means even more bad times ahead for people who wake up every morning and make the world happen and society function. Assuming PwC’s advice is taken to heart and job displacement remains the primary motivator rather than force multiplication.
The article is sort of interesting and I hope people take a gander rather than headline skim to affirm a bias and internally bridge the narrative gap.
The article says the report blames the lack of payoff on lack of implementation rather than on AI tooling itself. That is, companies need to fully integrate with AI because piecemeal isn’t working. Quite the opposite of what many people commenting here are assuming the takeaway was.
That means even more bad times ahead for people who wake up every morning and make the world happen and society function. Assuming PwC’s advice is taken to heart and job displacement remains the primary motivator rather than force multiplication.
“AI is doing nothing for us. Quick! Apply more AI!”
Thanks for reminding us to resist giving in to confirmation bias. And thanks for the summary! I’ll go read the article now for the full picture