10/08/2026
EI × AI: What happens when they meet inside organizations?
One of the discussions at Yale University that stayed with me was about Emotional Intelligence, AI and what happens when the two meet inside organizations.
We definitely left with more questions than answers.
I keep hearing two almost opposite views.
For many employees, AI creates genuine stress: resistance to implementation, uncertainty about changing roles, fear that years of expertise may become less valuable and, underneath it all, a very human question:
Will I still be needed?
Some of the highly driven managers and business leaders I speak with see almost the opposite future.
They are excited.
They expect AI agents to remove much of the managerial routine: follow-ups, coordination, unnecessary meetings, checking whether things were done, what one manager rather bluntly called “babysitting employees.”
The promise is obvious: higher output, faster decisions, lower coordination costs, smaller teams doing much more.
But technological efficiency does not automatically become organizational efficiency.
Take resistance to AI.
We can simply label people “resistant to change.” Or an emotionally intelligent manager may recognize what sits underneath it: fear of losing competence, status, professional identity or control.
This matters to the person, but also to performance. Resistance means slower adoption, lower productivity gains and slower ROI on AI investment.
And consider something many of us may already be experiencing.
AI helps us complete tasks faster. So we do more.
We move between AI agents, messages, meetings, decisions and outputs. More becomes possible simultaneously. The volume of information increases. Expectations increase with it.
Technically, productivity goes up.
But so can context switching, cognitive load, information overload, stress and fragmented attention.
The solution is obviously not to become less productive.
It is to learn how to work differently.
This is where EI and Organizational Psychology may become very practical: helping people recognize and regulate overload, redesigning workflows to protect focus, creating better norms around multitasking and responsiveness, and helping managers distinguish sustainable productivity from overload, before performance starts to fall.
Instead of fixing burnout later, we can design human sustainability into AI adoption from the beginning.
And that is only one example.
Before discussing solutions, I’d genuinely like to hear what you are seeing:
🔹What new psychological and organizational challenges is AI creating for employees, managers and companies?
We started this conversation at Yale. I’d love to continue it here.
What are you seeing?
Anna Kravtcova, PhD
Founder, LabHR | Organizational Psychologist
