Azeem Azhar

advanced prompts and context engineering on at least two different LLMs as a requirement.

And that is an indicator that you attract.

I mean, we should touch on that point as well, right?

Because of course, Excel showed up 35, 40 years ago and it's created more work than it's taken away.

What would you look out for and where have you been able to see places where AI is enabling more work

through lifting productivity rather than going into this task substitution modality we've been discussing?

So if you're listening to this and wondering, when are they going to tell me what I need to do to get a job in this tough market?

Just hang in there because at the end, Ben and I give some really specific advice.

This point about the adaptive organization is a really, again, it's one that we need to unpack.

So when I go off and talk to C-suite execs, we've had a discussion with our chief human resources officer in a firm with 47,000 employees, so of a reasonable size.

bundles of tasks, units of work that need to be done rather than as single lumpy activities.

And we're now going through a process of unpacking what each job is into a series of tasks.

And they're having to do this from

both the top-down essentialized team, but also enabling individual managers to look at their teams and teams of teams and say, what are the tasks that comprise which jobs?

It's a big effort.

And of course, economists have been talking a long time about jobs as bundles of tasks and tasks having certain skills and activities attached to them.

It's super theoretical.

It is super theoretical.

I mean, I have managed teams of my biggest teams, you know, hundreds of people.

We never thought in those terms.