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The AI Daily Brief: Artificial Intelligence News and Analysis

How the Best Companies Use AI

The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore

Technology

4.7763 Ratings

🗓️ 19 April 2026

⏱️ 27 minutes

🧾️ Download transcript

Summary

A deep dive into what separates the AI leaders from the laggers, drawing on the recent PwC study, McKinsey's AI Transformation Manifesto, George Sivulka's a16z essay on institutional vs. individual AI, and a close look at how Ramp built its internal AI system Glass. The throughline: leading companies treat AI as a growth and opportunity technology, and they build organizational systems that raise the floor for every employee rather than leaving people to figure it out alone.

Sources:

https://www.a16z.news/p/institutional-ai-vs-individual-ai

https://x.com/sebgoddijn/status/2042285915435937816



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Transcript

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0:00.0

Today, we are discussing how the best companies at using AI are using AI.

0:05.5

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. First of all, thank you to today's

0:23.6

sponsors, Blitzy, Granola, Section, and Assembly. To get an ad-free version of the show, go to

0:29.1

Patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. Ad-free is just $3 a month.

0:35.7

To learn more about sponsoring the show, or really anything else about the show, you can go to AIDDailybrief.aI.

0:41.4

It's going to have links to pretty much everything we got cooking from free education programs, to our AI operators community, to the new newsletter that is where you can find all the links that I talk about in the show, to, of course, our companion experience page.

0:54.5

We did one of those for our How to Use Opus 4-7 and the new Codex app episode on Friday.

1:00.3

Today's episode combines a number of the big themes that we've been talking about this year.

1:05.0

2026 kicked off, with everyone coming back from the holiday break, really understanding and grappling

1:10.6

with just

1:11.3

how big in advance we had gotten between the harnesses like Claude Code Codex, and like

1:16.2

the models like Opus 4-5 and the GPT 525 series that had come out around the end of last

1:21.7

year.

1:22.8

Ever since then, it has just been a race, and it has been very clear that there is a massive

1:27.1

difference and a growing

1:28.4

difference between the people who are best at using AI and using it most fully and those who are

1:33.1

not. Now clearly, a huge amount of that work is running through code, even when the ultimate

1:38.5

output is not building software. Turns out that when you give AI and agents the ability to write

1:44.1

code, it in fact

1:45.0

unlocks a huge amount of other capabilities that are relevant for knowledge work way

1:48.4

outside of just software engineering. When OpenAI announced their new Codex app, they said

...

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