Don’t start your AI business yet | Explaining the AI bubble

Are we in an AI bubble or just due for a reality check? In this video, I break down why valuations feel overheated, why many pilots are failing, and the practical steps teams can take to survive an “AI winter” and still capture ROI. You’ll see five concrete steps: start with measurable business problems, fix your data and workflows first, run small controlled experiments, train your people, and choose vendors conservatively with risk guardrails.

Who this is for:
Founders, execs, and operators rolling out AI who want results (not hype). If you’re deciding where to invest, what to automate, and how to avoid expensive misfires, this one’s for you.

What you’ll learn:
- Why “AI bubble” talk is rising and how to navigate it
- 5 rules to make AI pilots measurable and defensible
- Real examples: Microsoft call-centre savings, a German utility’s invoice checker, Klarna’s AI marketing workflow, and more
- How to set KPIs, clean data/workflows, and upskill teams so AI actually sticks

Timestamps
0:00 - Intro: Is the AI bubble about to burst?
4:19 - Bubble ≠ doom: dot-com analogy and why great use cases endure
5:00 - Rule #1 Start with a real business problem
6:25 - Rule #2 Fix your data & workflows before AI
10:34 - #3 Run experiments like a scientist
12:41 - #4 Empower people: training, governance, and product change cadence
14:38 - #5 Choose vendors carefully: manage risk & expectations
16:29 - When “do nothing now” is the smartest choice
18:29 - Free AI ROI calculator concept (compare manual vs AI costs)
20:20 - Wrap-up: practical path through the AI winter

I’m Vlad, founder of Green Republic. My team and I have built 80+ custom AI apps for companies around the world, helping businesses turn AI into ROI. On this channel, I break down AI tools, strategies, and case studies so you can skip the hype and actually grow your business.

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