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Five main reactions to AI include: to upskill, self-validate, dissociate, disengage, and adapt.

July 15, 2025 / 01:38

This episode discusses five key employee reactions to the rise of generative AI in the workplace: direct resolution, symbolic self-completion, dissociation, escapism, and fluid compensation.

Direct resolution involves employees upskilling themselves, such as signing up for prompt engineering courses to effectively use generative AI tools. This proactive approach helps individuals feel more competent in their roles.

Symbolic self-completion focuses on emphasizing the importance of human judgment in work, illustrated by a consultant who highlights human insights during presentations.

Dissociation refers to employees distancing themselves from generative AI, like graphic designers reverting to traditional techniques, which can hinder organizational progress.

Escapism is characterized by disengagement, where employees may spend excessive time on their phones instead of working. Fluid compensation involves assessing AI's strengths and weaknesses and adjusting skills accordingly to remain relevant in the workplace.

TLDR

Employees react to generative AI with upskilling, emphasizing human judgment, disengagement, and adjusting skills based on AI performance.

Episode

1:38
00:00:00
We argue that five key reactions will be especially common and they vary in the extent to which they are positive or
00:00:07
adaptive and the extent to which they are negative for the organization and for the employee. There's one we call
00:00:12
direct resolution. You feel a threat to your competence and you decide to upskill yourself. For example, you sign
00:00:18
up to a prompt engineering course to be able to be a proficient user of genai. That is tackling the threat directly to
00:00:23
solve it and become a proficient user benefit from it. The second one we talk about is symbolic self-comp completion
00:00:30
and that strategy is one where the employee is reminding themselves and others and underlying the role of human
00:00:37
judgment. For example, you can imagine a consultant who in the course of a presentation underlines the human
00:00:43
insights that are brought in. Then there is dissociation where you are trying to
00:00:48
move away from geni tools or geni jobs. So for example, graphic designer might rediscover old-fashioned techniques. And
00:00:54
as an element of this, there might be a component of sabotaging, trying to behave in a way that makes the AI fail.
00:01:01
And so that's obviously not good for the company's effort to benefit from geni.
00:01:05
Then you have escapism, which is basically disengagement. I'm can I have geni doing all this work and I'm
00:01:11
spending all my time scrolling on the phone? And then you have one called flu fluid compensation which is trying to
00:01:17
assess what's AI doing well and what is not doing so well and then pivot a little bit recalibrate your activity and
00:01:24
your skills towards the areas where you feel AI is falling short and so that's a
00:01:28
more adaptive one.

Episode Highlights

  • Direct Resolution: Upskilling
    When faced with threats to competence, employees may choose to upskill, like taking a prompt engineering course.
    “You feel a threat to your competence and you decide to upskill yourself.”
    @ 00m 12s
    July 15, 2025
  • Escapism: Disengagement from Work
    Escapism reflects disengagement, where employees might prefer scrolling on their phones over work.
    “I’m can I have geni doing all this work and I’m spending all my time scrolling on the phone?”
    @ 01m 07s
    July 15, 2025

Episode Quotes

  • You feel a threat to your competence and you decide to upskill yourself.
    Five main reactions to AI include: to upskill, self-validate, dissociate, disengage, and adapt.

Key Moments

  • Direct Resolution00:12
  • Escapism01:07