
Tamara Moellenberg
Tamara Moellenberg is an Associate Partner at ReD Associates, where she applies social science and ethnography to technology and strategy — and hosts the "Phenomena" podcast.
1
APPEARANCES
1
PODCASTS
012
DEC 30
JAN 6
JAN 13
JAN 20
JAN 27
FEB 3
FEB 10
FEB 17
FEB 24
MAR 3
MAR 10
MAR 17
MAR 24
MAR 31
APR 7
APR 14
APR 21
APR 28
MAY 5
MAY 12
MAY 19
MAY 26
JUN 2
JUN 9
JUN 16
JUN 23
JUN 30
JUL 7
JUL 14
JUL 21
JUL 28
AUG 4
AUG 11
AUG 18
AUG 25
SEP 1
SEP 8
SEP 15
SEP 22
SEP 29
OCT 6
OCT 13
OCT 20
OCT 27
NOV 3
NOV 10
NOV 17
NOV 24
DEC 1
DEC 8
DEC 15
DEC 22
DEC 29
JAN 5
JAN 12
JAN 19
JAN 26
FEB 2
FEB 9
FEB 16
FEB 23
MAR 2
MAR 9
MAR 16
MAR 23
MAR 30
APR 6
APR 13
APR 20
APR 27
MAY 4
MAY 11
MAY 18
MAY 25
JUN 1
JUN 8
JUN 15
JUN 22
JUN 29
JUL 6
JUL 13
JUL 20
JUL 27
AUG 3
AUG 10
AUG 17
AUG 24
AUG 31
SEP 7
SEP 14
SEP 21
SEP 28
OCT 5
OCT 12
OCT 19
OCT 26
NOV 2
Aug 27, 2026
Beyond the Dashboard: Solving AI Adoption Gaps
5:30
5:49
6:00
L
5:10Logan LawlerHOST
So like what, how would you break down the pillars? Like obviously I think you said like scare, you know, u-unsure, scared of a technology is one, but what are others? Like, is it, you know, training the tools not designed for the use case that I want? Like what are some of those other things that would fall into that that you've seen from like research that you've done with clients?

Tamara MoellenbergGUEST
Again, being anthropologists, we like to take a foundational view of the behaviors, norms, values, language, narratives, um, that are circulating in a company around GenAI.

Tamara MoellenbergGUEST
So one that I've heard often that s- just kinda drives me crazy, G-GenAI is a GPS.

Tamara MoellenbergGUEST
That metaphor instantly, for many people, puts them in an outsourcing and de-skilling mindset of, "Oh my goodness, okay." So, you know, we can all remember the time when, I mean, or some of us, maybe Logan, you and I can remember where we used to be able to figure out how to get, you know, to the store on our own, and now we just rely on the GPS.
20 MINS LATER
L
26:28Logan LawlerHOST
What are, say, three of the biggest problems that you're hearing in, like, that kind of initial kind of kickoff meeting? And then what are three things that they could do upfront and save themselves a bunch of time and effort, uh, that will make them be more successful on their AI journey?