These large language models are mostly commodities right now and have been.

Now, I've been doing models for a long time in AI, and they're constantly leapfrogging each other.

We're trying to leapfrog everyone ourselves. It's kind of a fun game that we play in the tech industry.

But the large language model game has been won by nobody yet.

And this idea that the model that's successful today is going to be the model that's

going to be successful tomorrow is not true.

I'm Mary Long, and that's Mark Benioff.

He's the co-founder and CEO of Salesforce.

Salesforce helps other companies manage their relationships with customers through a number

of different cloud-based software offerings.

Recently, Salesforce has added something called Agent Force to that suite of offerings.

The idea behind Agent Force is that autonomous AI agents take action on behalf of customers and employees.

Listen to any Salesforce earnings call, and you'll hear Benioff talk a lot about this concept of Agent force and agentic AI.

On today's show, my colleague Dylan Lewis catches up with Benioff.

They have a conversation about this move from generative to agentic AI and what that transition

means for companies and consumers and employees.

They also talk about building versus buying and how Beniof feels about

the acquisition of Slack and Tableau in hindsight. Plus, they talk about reckless predictions

and where Beniof thinks the AI race is headed next.

I'm excited to have you on because you are one of the most authoritative people on one of the biggest themes out there in the market right now. AI was the theme of 2024. It is continuing to be the theme, although it's shifting a little bit. I think we've

seen things move from a real focus on strictly generative AI to a little bit more of a focus on

agentic AI. And that is where Salesforce is really living right now. Can you kind of walk us through

...