Vertiv chairman Dave Cote: AI data-center demand 'very positive' for at least the next five years [4:40]

YouTube ^ | November 14, 2025 | CNBC Television

[RoosterRedux]

Here’s another thing to consider.

And we’re about to see massive new hiring in areas people forget about. The power-plant and grid-development sector is gearing up to hire vast numbers of engineers, electricians, construction crews, and technicians just to meet AI’s energy demand. Data centers, chip fabs, cooling systems, and transmission lines all require huge workforces.

AI isn’t eliminating jobs at scale—it’s triggering entire industries that need people.

[dpetty121263]

The real challenge is helping people transition, not assuming jobs are disappearing forever.

This is not happening in any concerted effort, they may get UE from the State for a few weeks as many States like mine included only provide 12-20 weeks of about 1/3 what people were making barely enough to buy a handful of rounds of groceries with prices what they are if they are lucky. These days it may take 2-4 months if People are lucky to even get through the background checks, interviews, ghost jobs. Point being and this is a State issue but the Federals could lean on these States and force them to act much quicker in helping people.

[RoosterRedux]

The real challenge is helping people transition, not assuming jobs are disappearing forever.

Excellent point.

As an aside, I analyze companies as potential investments using AI. When I first started using it, I thought it would save me many hours of work. How wrong I was.

Because I can do analyses that used to be impossible (analyze each company deeper and analyze more companies), I am now working many, many more hours.

In this same vein, I read an article last month about the legal department at a public company that thought, as I did, that AI would help them reduce staff. The opposite happened. Because they could dig deeper into the legal issues their company faced in its expansion plans, they were called on to do more and more work and had to start adding lawyers and paralegals.

[Pres Raygun]

I’m not so bullish on AI. What is can do organizing, cataloguing and deciphering information is amazing, but it needs large databases of accurate information to produce anything worthwhile. And then who or what validates AI’s output. In many cases AI is being trained on false or incomplete data, or it is hallucinating or in many cases it is overfitting the data. Businesses have always been vulnerable to managers who make decisions on bad information. AI could be magnifying these types of mistakes with catastrophic results.

[dfwgator]

Yep, even if AI is right 99.9% of the time, it’s that 0.1 percent that will put a company out of business.

[RoosterRedux]

You raise some good points, but much of what you’re describing applies more to “general AI” making broad, autonomous decisions. In reality, most businesses today use narrow, task-specific AI. These systems don’t get free rein; they operate inside strict boundaries on well-defined tasks with human oversight and validation.

As for “who validates AI’s output,” that’s where multiple-model workflows come in. What I usually do is take something from Grok (or Claude, Gemini, etc.) and cross-check it with ChatGPT, or vice versa. Two independent models catch a lot of mistakes because they fail in different ways.

[dpetty121263]

Well I work in IT as a Sr Systems Admin and have for 25 years and I have been taking courses in AI as I am soon to be 63 I keep my skills razor sharp and AI is only as good as the the code written to drive AI and these Companies jumping into AI have no clue to that point as some Suit read s about AI and here we go. To me it is a Fad and a bad one at that least with the companies including mine I work for...AI this and AI that...These Executives want to include AI into everything, every app, I see this as a wrong headed approach. I use AI for some things and it is handy at times to backup my thoughts and ideas but to wholesale cut people’s livelihoods is over the top and I think soon a AI bubble will burst in 2026.

[RoosterRedux]

Well, I commiserate with you about the impact on your profession. It’s hard when a technology threatens the work people have built their careers on. And yes, some companies are adopting AI mostly out of fear of being left behind.

But it isn’t a fad.

Too many major companies are now rebuilding their entire operating models around AI and already seeing real gains. Take Walmart: they’re using AI to optimize supply chains, run warehouses, personalize shopping, and power new conversational shopping agents. Walmart doesn’t chase fads—it invests in whatever drives efficiency and competitive advantage at scale.