meta_pixel
Tapesearch Logo
Log in
The AI Daily Brief: Artificial Intelligence News and Analysis

What 1,000+ Executives Told Us About AI Agents

The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore

Technology

4.7763 Ratings

🗓️ 12 October 2025

⏱️ 30 minutes

🧾️ Download transcript

Summary

In this special long-read episode, NLW digs into insights from thousands of executive interviews about AI and agents in the enterprise. Based on data from Superintelligent’s Agent Readiness and Opportunity Mapping audits, he unpacks where companies actually stand today—what’s working, what’s blocking progress, and where the biggest ROI opportunities lie.

NLW covers:

  • The average Agent Readiness Score and what it means for real-world adoption

  • The top AI and agent use cases showing up across industries

  • The biggest blockers: fragmented data, change fatigue, unclear governance, and skills gaps

  • The patterns of organizations succeeding with AI—and the archetypes falling behind

  • Why 2026 will be the “Year of Context” and the “Year of ROI”

If you want to understand what’s really happening inside enterprises right now with AI and agents, this is the one to listen to.

Transcript

Click on a timestamp to play from that location

0:00.0

Today on the AI Daily Brief, what more than a thousand executives told us about AI agents.

0:06.3

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

0:18.0

All right, friends, quick announcements before we dive in.

0:20.5

First of all, thank you to today's sponsors, Notion, Blitzy, KPMG, and robots and pencils.

0:25.7

To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe

0:30.1

on Apple Podcasts. And if you are interested in sponsoring the show, send us a note at sponsors

0:34.9

at AIDaily Brief.A.I. We're sold out for 2025 and about halfway

0:39.0

through the beginning of 2026. Send us a note and we can get you all the information you need.

0:44.4

Now with that, we turn to today's topic. And since this is a long read slash big think type of weekend

0:50.4

episode, even longer for many of you in the U.S., I thought it would be fun to go beyond

0:55.0

the headlines and actually dig into the data around what we are hearing about AI and

1:00.1

agents in the enterprise based on our conversations with thousands of executives.

1:05.6

Now, the context for this, for those of you who don't know, is my startup super intelligent.

1:09.9

Superintelligent is effectively an AI

1:11.8

business intelligence startup that focuses on AI and agent planning in the enterprise. We use

1:17.1

voice agents to totally transform the process of discovery, opportunity mapping, and figuring

1:22.2

out what AI and agent opportunities are most pertinent for your organization and what you're going

1:26.8

to need to do to get ready to take advantage of them. Over the last six months, we have done thousands and thousands

1:31.8

of these interviews, and this analysis represents a subsection of what we've learned. We're going to

1:36.4

talk about the most common challenges we see, what the biggest blockers are, as well as some of the

1:40.2

interesting opportunities and what the biggest enablers are. Hopefully, this is the type of

1:44.0

presentation that can be extremely practical and useful for those of you who are inside businesses figuring out how to harness AI and agents. And to kick us off, let me give you a few grounding statistics. As part of this opportunity mapping, we curate what we call an agent readiness score. It's on a scale of 100, and it's divided into quartiles with the bottom

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Nathaniel Whittemore, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Nathaniel Whittemore and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.