Topic
12 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2023-2026
Dan Diasio says many companies spent the previous two to three years investing in their AI technology stack before turning to mindset and skills.
“for many companies, they've invested in the technology stack over the course of the last two to three years.”
2026
Dan Diasio holds the titles of Global AI Consulting Leader and Americas Consulting CTO at EY.
“Today's guest is Dan Diasio, Global AI Consulting Leader and Americas Consulting CTO at EY.”
2026
Dan Diasio says companies investing $1 million or more in AI mainly focus on employee productivity and operational cost savings.
“major areas of focus, tend to be around employee productivity and operational cost savings”
2026
Dan Diasio says companies investing over $10 million in AI reduced their focus on employee productivity and operational efficiency over the previous six months.
“there's been a significant drop in their focus on employee productivity and in terms of operational efficiencies”
2026
Dan Diasio says CEOs who are building AI into core processes are no longer delegating AI initiatives to the CIO or CTO but are driving them personally.
“those CEOs are no longer delegating it, they are starting to drive it”
2026
Dan Diasio says the frontier of AI capability today is in building software.
“the frontier of AI capability today is in the space of building software”
2026
Dan Diasio says he spends four to six hours every week staying current with AI technology.
“I have four to 6 hours a week I spend staying current with the technology”
2026
Dan Diasio said in February 2026 that AI technology had not plateaued and had accelerated for about three months.
“We're talking in February 26, it is accelerating, it's been three months of acceleration, and it is continuing to go.”
2026
Dan Diasio says technical roles are converging, so a computer scientist is now also an AI engineer and a data engineer who needs a product-owner mindset.
“the computer scientist is now also an AI engineer and is also now a data engineer.”
Undated
Dan Diasio says EY found early on that executives could no longer be taught about AI through PowerPoint and needed hands-on experiences.
“In the early days, we realized that with executives, we could no longer teach them in PowerPoint.”
Undated
Dan Diasio says EY observed that snack products and packaging from different workshop groups looked alike because they all used the same AI models.
“a lot of the packaging looks the same, a lot of the products look the same, they're using the same models, they're getting the same output.”
Undated
Dan Diasio says that when AI speeds up pharmaceutical drug discovery, the bottleneck often moves into clinical development.
“you are going to find this happens all the time that the bottleneck moves now, it moves from drug discovery into clinical development.”
Episodes