Concentrix Corporation

Friday is empty, so the earnings week effectively ends Thursday afternoon.

Looking at the volatility board, Concentrix stands out with the largest options implied move among the more recognizable names, followed by Uranium Energy, Accenture, FactSet, and some others.

Concentrix is an especially interesting one because its traditional business is seeing pressure from offshoring and softer client spending, while its AI products are growing rapidly and carrying better margins.

That makes it a good example of an old business model trying to reinvent itself in real time.

And looking further out, the calendar gets much busier again in October, with the banks, Netflix, IBM, airlines, industrials, and more beginning to fill in.

The third is the public markets, which have already made their judgment.

Concentrix, Teleperformance, TaskUs have all been hammered.

It's the same repricing that went through the software sector, where companies lost the overwhelming majority of their value on nothing more than a revised view of future earnings.

Scott's analysis of that third point is the sharpest thing in this episode, so I'll flag it now.

Who did the-- Who's done a survey to find out that there's a proportion of misuse category?

That was done by the-- That was offered by Concentrix, which is the provider.

The provider.

So the provider itself did, like, a user experience survey.

Early warning signs you'd wanna watch for here would be a drop in their world-class seventy-one net promoter score or a sudden spike in client churn.

Add in the fierce competition from industry giants like Concentrix and Teleperformance, who honestly have vastly superior capital resources, and the constant threat of global wage inflation in those offshore markets, and it's clear management has to execute flawlessly to maintain these margins.

Section six, the bottom line, synthesizing the mispricing thesis.

Let's bring it all together.

New research finds 98% face barriers to scaling AI, with two-thirds still stuck in the pilot phase.

I spoke with Concentrix's Dheeraj Kumar and started by asking him how hard it is for businesses to scale up AI use.

Lots and lots and lots of organisations are just simply buying technology.

They think they'll go and buy technology and that'll solve the problem.

New research finds 98% face barriers with sca- to scaling AI, with two-thirds still stuck in the pilot phase.

I spoke with Concentrix's, uh, Dhiraj Kumar and started by asking him how hard it is for businesses to scale up AI use.

Lots and lots and lots of organization are just simply buying technology.

You know, they think they'll go and buy technology, and that'll solve the problem, you know? And clearly, you know, almost nine in 10 organization are realizing that's not the case.

So my name is Chris Williams.

I'm, uh, director of analytic consulting for Concentrix.

I also have my own business, Precision Analytics Group.

Um, I've been doing Tableau for sixteen years.

Uh, this is a s- this is a presentation that we've been doing with Tableau Next for, uh, a while now.

We've been a part of the beta with Concentrix.

So I'm a director of customer analytics with Concentrix, and, um, we've been doing this for probably about two years now, so...

But I'm gonna share my screen.

And for those who've never seen...

They have.

And the other thing that, sorry, I was just trying to think about a moment ago, and I asked Concentrix's spokesperson the other day, the general VP of growth.

Yeah.

Do businesses and governments need to think about licensing? When you tie yourself up with one particular provider, can you untie yourself? Because the expectation is we get a lot of free stuff and a lot of cheap stuff in the early days of this kind of gold rush.