Stephen Wunker
speaker
430 appearances
5 recordings
1 series
first heard Mar 2026
last heard 6 Mar
Stephen Wunker’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 5 in all, peaking in Mar 2026 with 5.
Appearances
I think AI is breaking the belief that it actually created initially that it was going to wipe out a ton of jobs.
Yeah, there are some jobs that are gonna be affected, just like the word processor effect typist jobs.
But
Look, I've got a word processing capability and I'm still gainfully employed.
So uh I think w we need to think about what we really want as companies.
It isn't necessarily just to chop heads, it's to be more productive, it's to get higher revenues.
So let's think strategically about it and not narrowly in terms of how can we get rid of 50% of jobs, even the companies that
that have made those big announcements are often quietly walking those back.
They need to think not just about the adoption of the tool, but what then happens to the flow of work, to how people interrelate, to how people might meddle uh with each other given that they have more visibility about each other's data, to how decision rights get changed.
uh to the cycle time of decisions, to uh right the uh just the the process of it.
Do you need to have a weekly or a monthly steering committee if people can have real time visibility into what is happening at various people's workflows.
So you need to think big before you then zero in on how particular tools get used.
They think about AI as technology and not changing the system of work.
Put tech at the table, but look at it as the whole system you need to change.
Right.
So get people together cross-functionally and understand how are your business objectives being suboptimal now without AI and how might AI improve that, whether it's customization of an offering or the cycle time you take in making a proposal to a customer, for instance.
How is AI changing that?
That then gets you more right side up, thinking about what your objective is, not the nuts and bolts of technology and how that might be achieved.
So usually to get the most out of AI, you need to have some decent data and you need to have governance of how AI tools are being used.
If you don't have good data, you don't have good governance uh guardrails or systems, then you probably want to attend to some of that first.
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