u/RandomWalkAu

I made this after noticing how many companies talk constantly about “employee wellbeing” while employees still feel exhausted.

A lot of workplace wellness initiatives seem focused on helping individuals tolerate unhealthy systems better:
- mindfulness apps
- resilience workshops
- meditation subscriptions
- motivational talks

But many workers are actually struggling with:
- unrealistic workloads
- lack of boundaries
- constant availability
- unclear priorities
- chronic organizational stress

One interesting shift in the discussion:
People are moving away from “fix the worker” thinking toward “fix the system” thinking.

Because burnout often isn’t just a personal resilience problem.

It’s a work design problem.

I made this based on the recent warnings from Geoffrey Hinton (“the Godfather of AI”) and a lot of Reddit discussions around where the job market may be heading.

One idea kept appearing repeatedly:

AI may not replace entire professions overnight — but it can rapidly absorb the most repetitive, predictable, and low-context parts of many jobs.

That changes the economics of white-collar work dramatically.

The people who seem most resilient are often those working in:
- high-context environments
- human-facing roles
- physical-world unpredictability
- judgment-heavy decision making
- trust/accountability-intensive work

Meanwhile, many workers are quietly becoming “AI supervisors” instead of pure task executors.

The interesting question may no longer be:
“Will AI replace my job?”

But:
“Which parts of my work are most automatable?”

I made this after noticing how dramatically the tech industry mood has shifted in just a few years.

Not long ago, Big Tech was seen as:
- stability
- prestige
- high compensation
- lifestyle perks
- “safe” long-term careers

Now the conversation feels very different:
- layoffs
- AI displacement anxiety
- return-to-office pressure
- shrinking middle layers
- shorter tenure expectations

At the same time, another interesting shift is happening:
some traditional industries are quietly becoming attractive “tech havens” because they offer:
- stability
- slower pace
- long-term projects
- regulated environments
- better work-life balance

And internally, companies increasingly seem to want employees who can manage AI systems, not just execute tasks themselves.

Feels like we’re moving from:
“learn to code”
to
“learn to direct intelligent systems.”