Last night I had a call with my friend, Daniel.

But this wasn’t a normal call.

Daniel told me he had been very busy.

He’s been building apps using AI.

When he showed me, what he’d built I was blown away.

He doesn’t write code.

He just knows problems he has, and uses AI to solve them.

After the call was over, he explained he was building apps for businesses and charging $10k or more.

I told him… “Dan, people need to see this. People need to understand how to do this.”

15 minutes later, we had a workshop planned out.

We want it to be small and intimate, so spots are limited.

Why join us?

You will turn a real business problem into a working AI app that saves time or generates revenue by the end of the 2-day workshop.

Simply respond to this email to get on the waitlist.

Guys, the world is moving fast, and it’s not a good time to fall behind.

-Mark

Dell just showed exactly what this AI transition looks like inside a real company.

They cut about 11,000 jobs, around 10 percent of their workforce, and this is now the third year in a row their headcount has gone down.

Think about that. Three straight years of fewer people, while the business keeps moving forward.

The company is putting serious money into AI infrastructure. Servers, data centers, systems that power machine learning. That is where the focus is going.

At the same time, hiring is being limited and teams are being restructured. Instead of scaling people, they are scaling systems.

This is how AI changes companies. Fewer people are needed to handle the same workload.

Roles tied to coordination, reporting, and repetitive tasks are under pressure. Technical roles connected to AI are gaining importance.

This is a permanent change in how work gets done.

Meta Weighs 20% Cuts To Fund AI Expansion

Now let’s talk about Meta, because this is where things get intense.

There are reports that Meta could cut up to 20 percent of its workforce, which is around 16,000 jobs.

Why would a company do this while still growing?

They need capital.

Meta is planning to spend massive amounts on AI infrastructure. Data centers, chips, systems, and top talent. This requires huge investment.

To fund that, companies reduce their largest expense. People.

There is a quote from Zuckerberg that explains everything. Projects that used to require large teams can now be done by one highly skilled person.

That changes how companies think about hiring.

The question becomes...

How many people are actually needed?

Meta is not alone here. They are one of the clearest examples.

This next part is happening across the job market.

Hiring is slowing down, especially for entry level roles.

SThree, a global recruiter reported an 8 percent drop in demand, with software development roles seeing the most pressure.

This makes sense when you look at the work.

Entry level roles often involve writing basic code, analyzing data, and preparing reports. These are tasks AI can now handle much faster.

So companies are adjusting.

Instead of hiring multiple junior employees, they rely on fewer people supported by AI tools.

That creates a bottleneck at the start of careers. Fewer openings and higher expectations.

At the same time, some roles are holding stronger demand. Data, cybersecurity, and system management.

Structure of careers is changing.

The starting point is getting harder to access.

Read more here.

Future looks bright! - Patrick Bet-David