using only 20% of your business data is like dating someone who only texts emojis first of all

that's annoying and second you're missing a lot of context but that's how most businesses operate today

using only 20% of their data unless you have HuffSpot where all the emails call logs and chat

messages turn into insights to grow your business. Because all that

data makes all the difference. I would know because I use HubSpot at my company. Learn more at

HubSpot.com. So meta, they cut, it looks like 700 people this week, but they're planning another

15,000 or so. So meta now requires 65% of its engineers to write 75% or more of their code using AI by mid-20206.

Their scalable machine learning org has a target of 50 to 80% AI-assisted code. Across Messenger, WhatsApp, and Facebook, 55% of all code changes must be AI-assisted. 80% will be mid-to-senier engineers must adopt AI tools such as Devmate and Google Gemini.

So every meta employee now is graded on AI driven impact and their performance for you.

It is now a core expectation.

If you don't use AI, you know, advanced meta is the first major tech company to formally tie promotions to AI adoption.

I don't know about that.

But I do know they're going to use this as more of more of an excuse to cut.

I would say at any sector, like using AI for marketing, you should.

But it's not as black and white, at least from what I've found compared to like coding.

For coding, product, design, I would say using AI, especially for coding, is much more black and white than how we would use

AI as marketers.

And if you look at most of these tech companies, their biggest expense isn't just payroll.

It's specifically engineers, product people, and designers within their organization.

And what Neil's really referring to here when he says it's not, it's, it's a little different. It is and the, the simple way to look at this is coding is verifiable. Okay, it's just like math. You can verify it, okay? Now when it comes to my feeling, you're feeling about this ad creative or whatever, not so much. Same thing with a copy is it's more, it's not as fluid, which is like the copy you're seeing from AI right now,

you need the human in the loop to make it really good and it needs to work back and forth. You can't just let it do its thing. It hasn't quite worked out that way yet. But I think, one, we mentioned this a couple months ago. the companies that are like blaming AI for cuts,

it's the ones that I've, you know, overhired during, you know, the, the pandemic era.

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