CES 2026: NVIDIA’s AI Factory Era Has Begun | How OpenAI's Mega Deals Are Centralizing AI Power?

Описание: CES is supposed to be a gadget show – TVs, laptops, shiny toys.
But CES 2026 quietly turned into something else: a global coordination event for the next industrial AI cycle.

In this CyberLord.Ai episode, I break down how NVIDIA’s Vera Rubin platform, massive multi-gigawatt AI deals, and OpenAI’s infrastructure strategy are turning AI into an industrial “factory” business – where the real game is cheap, reliable, always-on inference at scale.

In simple language, we’ll cover:

Why NVIDIA now calls this the “industrial phase” of AI

How CES 2026 shifted from a chip race to an AI factory race

Training vs inference: why serving tokens, not just training models, is the new cost center

How OpenAI’s huge compute and memory deals are shaping the global AI supply chain

What AI “factories” mean for jobs, skills, centralisation risk and smaller builders

A practical action plan: how normal people can still win in an AI-factory world

If you want to see beyond the demos and robots and understand what’s really being built behind the scenes – this breakdown is for you.

💬 Question for you:
In this new AI factory world, do you see yourself more as a builder, a strategist, or a worried bystander? Tell me in the comments.

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Disclosure:
This video is presented using my AI avatar and cloned voice. All ideas, opinions, and script are my own; AI is used only for presentation and production support.

⏱ CHAPTERS

0:00 CES is no longer a gadget show
0:32 NVIDIA’s “industrial phase” of AI explained
1:25 From model training to inference factories
2:40 Why tokens, latency and cost now drive architecture
3:35 OpenAI’s mega deals and the AI factory race
5:05 Power, memory and supply chain bottlenecks
6:05 What AI factories mean for jobs and skills
7:05 Centralisation risk and multi-winner ecosystems
8:00 Action plan: how normal people can still win
8:45 Final thoughts and question for you


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