AI was supposed to make work easier but for many employees, it’s creating more work, more pressure, and less time for the deep thinking that actually matters.
In this episode of the Catie Campbell Podcast, Catie explores how companies are using AI to increase output without improving the quality of work or the employee experience. She breaks down why automating emails, reports, presentations, and other low-level tasks often leads to more expectations instead of more meaningful work.
The real promise of AI should not be squeezing more tasks out of employees. It should be giving people the time and capacity to think deeply, solve meaningful problems, connect with customers and colleagues, and create better results.
In this episode:
Why AI efficiency does not always lead to true productivity
How companies turn saved time into additional workloads
The difference between producing more and creating more value
Why AI can contribute to burnout and disengagement
What employees should pay attention to when AI makes work harder
How leaders can use AI to eliminate corporate busywork and enable deeper work
Why the best AI-enabled companies will focus on people, not just output
Timestamps
00:00 — Why AI may be making work harder
02:10 — What deep work really means
03:00 — How AI speeds up tasks without improving the work
05:00 — The problem with chasing information across systems
07:30 — When AI becomes a productivity trap
09:30 — More output does not equal real productivity
12:00 — Why employees are feeling increasingly squeezed
16:40 — What employees can do
20:00 — When AI reveals a culture and leadership problem
Podden och tillhörande omslagsbild på den här sidan tillhör
Catie Campbell. Innehållet i podden är skapat av Catie Campbell och inte av,
eller tillsammans med, Poddtoppen.
