Short
Mathias Karlsson is an AI keynote speaker and adviser with 25 years in tech. He is a co-founder of Mindact and makes AI understandable for the people who have to decide.
Text for the programme, something for the moderator to read out, photos to download and the practical details. Use it freely when you present the talk.
Mathias Karlsson is an AI keynote speaker and adviser with 25 years in tech. He is a co-founder of Mindact and makes AI understandable for the people who have to decide.
Mathias Karlsson is an AI keynote speaker and adviser with 25 years in tech, from the support desk and sales to strategy and development. He is a co-founder of Mindact, where he helps companies and organisations go from curiosity to actual use. He builds and tests with AI every day, and what he shows on stage is something he worked on himself only days before.
Mathias Karlsson is an AI keynote speaker and adviser with 25 years in tech, from the support desk and sales to strategy and development. He is a co-founder of Mindact, where he helps companies and organisations go from curiosity to actual use. He builds and tests with AI every day, and has been called both a professional sceptic and a tech psychologist. In the keynote “The Hard Part Has Moved” he shows what happens when technology stops being the bottleneck, and the questions it raises about value, work and human expertise. He speaks in Swedish and English and has been booked by DS Smith, Almi and Hushållningssällskapet, among others.
Our next speaker has spent 25 years on technology and the people who use it. He builds and tests with AI every day, and has been called both a professional sceptic and a tech psychologist. Today he talks about what happens when technology stops being the bottleneck. Please welcome Mathias Karlsson!
To read out before the talk, about 20 seconds.
The Hard Part Has Moved
When technology stops being the bottleneck
What happens when something that took months can be done in an afternoon, and what we have learned to see as hard suddenly becomes possible? When AI can do the work, build the solutions and turn ideas into reality, we need to reconsider both our ingrained ways of working and our own role.
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