Hey, it’s the email from me (Dima Zborovsky, AI Director @ DoorDash / Deliveroo) about my personal AI overview.

Something in AI keeps surprising me, and I'd feel weird not sharing it with you.

My work puts me in a weird spot — I end up talking to execs at big tech companies, research scientists at top AI labs, founders building startups, and people trying to land their next job.

Totally different worlds. Different problems.

But lately, they all keep saying the same thing.

My friends from BigTech's are saying that execs are quietly reshuffling entire teams around AI.

The startups are building with 5 people what used to take 50.

And the job seekers? They're realizing the game changed while they weren't looking.

Here's the part that genuinely caught me off guard.

There was a piece in Harvard Business Review last month — "AI Doesn't Reduce Work — It Intensifies It."

I assumed AI would mean people work less. More productive, save time, go home early. Right?

Nope.

The finding was the opposite. One of the researchers put it this way:

"You had thought that maybe, oh, because you could be more productive with AI, then you save some time, you can work less. But then really, you don't work less. You just work the same amount or even more."

AI isn't saving time. It's raising the bar. Companies now expect 5–10x more output from the same people.

That honestly surprised me. And then I started looking at the data, and it all clicked:

  • 50% of US tech job postings now require AI skills — up 98% from just a year ago (Dice, Sep 2025)

  • Workers with AI skills earn 56% more than peers without them, up from 25% the year before (PwC 2025 AI Jobs Barometer)

  • Productivity in AI-exposed industries nearly quadrupled — from 7% to 27% since 2022 (PwC 2025)

The picture that keeps emerging from every conversation I have, and every data point I find, is the same:

Knowing about AI isn't enough anymore. You have to be able to build with it.

This is exactly why I created the AI Bootcamp Sprint 🔥

Not just to teach tools — though tools are the foundation. But to share the insights I'm learning daily from being embedded in this world.

What the execs are actually looking for. How the startups are moving this fast. What skills actually matter right now versus six months from now.
Here's how it works:

  • 3 weeks, 4 live workshops and Q&A sessions

  • 5 hands-on projects

  • You'll build real things — AI agents, automation workflows, RAG chatbots — using Cursor, Claude Code, n8n and other tools

  • 30-day money-back guarantee

Here's what real students built within weeks of starting:

A company-wide AI knowledge base. One student built a chatbot that lets anyone in their company chat with key strategic documents — priorities, goals, all searchable in seconds.

A personal health coaching agent. Built entirely in Cursor. It pulls data from private local medical records, Oura, and Whoop, then shows up every morning with a brief: how you slept, what to focus on, even a check-in on your emotional state.

A 50x ROI in three days. One student automated an image review process that had an open headcount — three days into the course. The automation paid for itself 50 times over.

An AI meeting prep assistant. Every evening it scans tomorrow's calendar, scrapes each invitee's LinkedIn, and delivers a brief with context, talking points, and even conversation drafts.

10x marketing outreach. A student built scraping agents that write hyper-personalized intros and sales hooks — scaled their outreach tenfold overnight.

These aren't hypotheticals. These are people who showed up, learned the tools, and shipped.

We start Tue, Feb 24. There are 3 seats left — we cap it small so the live workshops actually work.

If this sounds like something you'd get value from, here's the link:

Talk soon,
Dima Zborovsky

PS — If you want the 1:1 mentorship option where I personally review your projects, there's a tier for that on the page.

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