How Wall Street’s Top Producer Automates High-Stakes Work

Incredible story.

I always love hearing the wins and when AI has helped you genuinely in the business, what is the common thread across all of these? And this is something that I want to drive home about, you know, AI is not producing these assets and these shows for you, but can you frame it up from your perspective on what using these tools has allowed you to do?

Sure, yeah.

So in one simple phrase, you can say that coordination collapses, but the context doesn't.

So if you look across everything that we're doing here, a lot of it involves scheduling problems, whether that's scheduling a banker to record or a producer to be ready to make a recording.

What it doesn't solve is a context problem.

So we still need a human there to actually use the judgment of, is this a good recording, or is this the right way to handle this speech to text, et cetera.

So it's really helped with that coordination piece, working through the people who have different schedules.

what we still need.

And I don't know that AI will ever fully solve this, but we still need people with the experience to provide the context behind that and also the creativity behind that.

Again, like with the lovable example, it can give us the logo and the hex files for the colors.

We still need someone to apply that and figure out where does it look right? Does it look right? Should we just skip this and go with a plain white background? You know, something like that.

So yeah, that's what I would say, the difference between coordination and context.

And the judgment is still preserved.

The more creative side your team can focus on and less, as you mentioned, on the scheduling and, you know, the stuff that machines are really the best at handling.

Right.

Exactly.

Yeah.

Incredible story.

I always love hearing the wins and when AI has helped you genuinely in the business, what is the common thread across all of these? And this is something that I want to drive home about, you know, AI is not producing these assets and these shows for you, but can you frame it up from your perspective on what using these tools has allowed you to do?

Sure, yeah.

So in one simple phrase, you can say that coordination collapses, but the context doesn't.

So if you look across everything that we're doing here, a lot of it involves scheduling problems, whether that's scheduling a banker to record or a producer to be ready to make a recording.

What it doesn't solve is a context problem.

So we still need a human there to actually use the judgment of, is this a good recording, or is this the right way to handle this speech to text, et cetera.

So it's really helped with that coordination piece, working through the people who have different schedules.

what we still need.

And I don't know that AI will ever fully solve this, but we still need people with the experience to provide the context behind that and also the creativity behind that.

Again, like with the lovable example, it can give us the logo and the hex files for the colors.

We still need someone to apply that and figure out where does it look right? Does it look right? Should we just skip this and go with a plain white background? You know, something like that.

So yeah, that's what I would say, the difference between coordination and context.

And the judgment is still preserved.

The more creative side your team can focus on and less, as you mentioned, on the scheduling and, you know, the stuff that machines are really the best at handling.

Right.

Exactly.

Yeah.