Instead of looking for other avenues for growth, though, PwC found that executives are worried about falling behind by not leaning into AI enough.
“A small group of companies are already turning AI into measurable financial returns, whilst many others are still struggling to move beyond pilots,” said PwC global chairman Mohamed Kande in a statement. “That gap is starting to show up in confidence and competitiveness, and it will widen quickly for those that don’t act.”
PwC also pointed out that most companies were lacking the “AI foundations, such as clearly defined road maps and sufficient levels of investment” to realize a return.
And I imagine the only reason I’m drowning is that I didn’t bring enough gallons of their energy drink into the sea with me. Wow.
You can’t usually replace people with AI per se, but there is a lot of routine work you can do more efficiently with the help of AI. And that in the end reduces needed staff.
A surprising percentage of that routine work that can be machine assisted is already automated. Even an agentic AI LLM doesn’t do anything a clever bash script couldn’t. (And bash does it without hallucinations.)
So the opportunity is that a we can automate things that were not worth automating, before.
But the challenge is that anything with crazy good returns on efficiency is likely to already have been automated better.
So we have a really expensive tool hunting for huge efficiency gains among the scraps leftover from earlier better automation solutions.
And I imagine the only reason I’m drowning is that I didn’t bring enough gallons of their energy drink into the sea with me. Wow.
Who, other than companies selling AI to other companies?
I’m sure that’s what they’re talking about.
I haven’t seen any company selling end users AI at any price that looks like it could actually turn a profit.
It feels so very bubble.
You can’t usually replace people with AI per se, but there is a lot of routine work you can do more efficiently with the help of AI. And that in the end reduces needed staff.
A surprising percentage of that routine work that can be machine assisted is already automated. Even an agentic AI LLM doesn’t do anything a clever bash script couldn’t. (And bash does it without hallucinations.)
So the opportunity is that a we can automate things that were not worth automating, before.
But the challenge is that anything with crazy good returns on efficiency is likely to already have been automated better.
So we have a really expensive tool hunting for huge efficiency gains among the scraps leftover from earlier better automation solutions.