Great insights! One of the problems I see in terms of people’s willingness to see AI as tool and not a threat is companies blaming AI for layoffs, even if the real issue is something like policy uncertainty, interest rates, Covid-era over-hiring, etc.
While AI is definitely having an impact, it’s also a great scapegoat for budget-cutters everywhere.
Thank you Karen :) You nailed it. Blaming the tech is the easy out. But more often, AI-related layoffs come down to costly acquisitions--especially with today’s interest rates--and decisions to cut overlapping or legacy roles. Sadly, existing talent rarely gets a real shot at upskilling.
Love the metaphor, Dee. I saw a McKinsey study recently where 72% of respondents said their organization is using at least one AI workflow which just adds to the point you made about 55% of all organizations using it. At the pace things are moving, it’ll probably be closer to 100% before long.
Thank you, Bette :). I so agree! AI implementation is racing ahead while many orgs are still stumbling over how to put it to work. Right now, experimentation is all the rage. Companies that resist smothering curiosity with heavy-handed governance or knee-jerk compliance rules--and instead focus on guardrails that truly manage risk--may be surprised by the scrappy, homegrown innovations their workforce can deliver :-D
Great insights! One of the problems I see in terms of people’s willingness to see AI as tool and not a threat is companies blaming AI for layoffs, even if the real issue is something like policy uncertainty, interest rates, Covid-era over-hiring, etc.
While AI is definitely having an impact, it’s also a great scapegoat for budget-cutters everywhere.
Thank you Karen :) You nailed it. Blaming the tech is the easy out. But more often, AI-related layoffs come down to costly acquisitions--especially with today’s interest rates--and decisions to cut overlapping or legacy roles. Sadly, existing talent rarely gets a real shot at upskilling.
Love the metaphor, Dee. I saw a McKinsey study recently where 72% of respondents said their organization is using at least one AI workflow which just adds to the point you made about 55% of all organizations using it. At the pace things are moving, it’ll probably be closer to 100% before long.
Thank you, Bette :). I so agree! AI implementation is racing ahead while many orgs are still stumbling over how to put it to work. Right now, experimentation is all the rage. Companies that resist smothering curiosity with heavy-handed governance or knee-jerk compliance rules--and instead focus on guardrails that truly manage risk--may be surprised by the scrappy, homegrown innovations their workforce can deliver :-D