Zain, The paradox of AI usage shows a gap between perceived and actual productivity gains.
Understanding the verification tax is crucial for navigating the evolving job landscape effectively. How can professionals adapt to these new expectations and develop the necessary judgment skills?
Great question! I think the best place for professionals to start is to actually start noticing their judgement and writing it down or logging it so there’s a paper trail. The issue I’m seeing many professionals face with AI becoming more prevalent is that they are having a hard time articulating their judgement explicitly because it’s been running subconsciously for so many years. Once you can make it explicit, it becomes something you pay even more attention to and can further strengthen.
We used to earn judgment by doing the work AI now performs. The challenge isn’t just replacing tasks it’s rebuilding the path that used to create good decision-makers.
The real story here isn't the layoffs...it’s that we are accidentally burning down the apprenticeship model.
If entry-level roles now require senior-level judgment on day one, we've created a massive paradox. You can't learn how to spot a subtle mistake in an AI's output unless you've spent years making those exact mistakes yourself.
On the entry-level/Senior point: Its also a management problem not just an AI problem. People learn judgment by doing small boring tasks over and over. If AI keeps taking those tasks away from juniors we lose the way people used to build that skill. It'll be interesting to see how organizations actually deal with this whether they find ways to protect that training time or just let the skill gap grow or a we will find a new way to fill it only time will tell.
Your strongest point is that you cannot supervise what you were never allowed to learn. That cuts through the false choice between AI optimism and AI panic.
The real issue is not whether AI replaces jobs one-for-one.
It is whether institutions cash in the apprenticeship layer while still expecting mature judgment to appear later.
A society that removes the reps and then blames young workers for lacking judgment is not becoming more efficient.
Every company now seems to want a 24-year-old with AI fluency, senior judgment and the calm eyes of someone who’s survived three procurement cycles.
Lovely job spec. Small issue: nobody wants to pay for the years that create that person.
Zain, The paradox of AI usage shows a gap between perceived and actual productivity gains.
Understanding the verification tax is crucial for navigating the evolving job landscape effectively. How can professionals adapt to these new expectations and develop the necessary judgment skills?
Great question! I think the best place for professionals to start is to actually start noticing their judgement and writing it down or logging it so there’s a paper trail. The issue I’m seeing many professionals face with AI becoming more prevalent is that they are having a hard time articulating their judgement explicitly because it’s been running subconsciously for so many years. Once you can make it explicit, it becomes something you pay even more attention to and can further strengthen.
We used to earn judgment by doing the work AI now performs. The challenge isn’t just replacing tasks it’s rebuilding the path that used to create good decision-makers.
You cannot supervise what you were never allowed to learn is the line that stuck with me most.
The real story here isn't the layoffs...it’s that we are accidentally burning down the apprenticeship model.
If entry-level roles now require senior-level judgment on day one, we've created a massive paradox. You can't learn how to spot a subtle mistake in an AI's output unless you've spent years making those exact mistakes yourself.
On the entry-level/Senior point: Its also a management problem not just an AI problem. People learn judgment by doing small boring tasks over and over. If AI keeps taking those tasks away from juniors we lose the way people used to build that skill. It'll be interesting to see how organizations actually deal with this whether they find ways to protect that training time or just let the skill gap grow or a we will find a new way to fill it only time will tell.
Your strongest point is that you cannot supervise what you were never allowed to learn. That cuts through the false choice between AI optimism and AI panic.
The real issue is not whether AI replaces jobs one-for-one.
It is whether institutions cash in the apprenticeship layer while still expecting mature judgment to appear later.
A society that removes the reps and then blames young workers for lacking judgment is not becoming more efficient.
It is moving the cost into the future.