A silver-and-gold channel interview with Ahmed Shah Shadid centered on AI infrastructure, the AI bubble, and the labor impact of adopting AI tools. The guest argues the AI bubble exists but is still early, believes AI is already compressing engineering headcount sharply, and says commodities are driven far more by geopolitics and China than by AI itself.
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The video opens with a channel giveaway promotion for 20 ounces of silver, then shifts into an interview with Ahmed Shah Shadid, introduced as the founder of O Foundation, a Swiss-based AI research lab focused on private AI infrastructure. Shadid gives a personal background: he entered AI in 2022 after the Russia-Ukraine war began, first using quantitative and time-series models for trading, then leveraging spare GPU supply from Ethereum miners when cloud/GPU costs were high. He says this eventually became IO.net, which scaled rapidly, and that he later left under pressure in June 2024. The main discussion is about the AI bubble. Shadid says there is definitely a bubble in AI and infrastructure, but he believes it is still early and has not reached its peak. …
Near term, the AI complex still looks supported by capex momentum and crowd enthusiasm, but Nvidia is the key fragility point and any miss could cascade through the trade. Silver does not appear to have a direct AI-driven catalyst in this setup.
Over the coming weeks and months, the guest expects AI adoption to keep forcing smaller, faster teams and to keep rewarding firms that integrate AI deeply into workflows. The AI bubble narrative may keep expanding until a marquee event like an OpenAI IPO forces a reassessment.
The structural message is that AI is becoming a new operating system for knowledge work, with enduring implications for staffing, productivity, and competitive advantage. For precious metals, the guest’s long-run frame remains geopolitical and monetary rather than technological.
There is definitely an AI bubble, but it has not yet reached its maximum size.
The guest says the bubble exists but is still too small and not at the top.
The bubble may only burst after OpenAI IPOs at a valuation above $1 trillion.
He names a specific IPO event as the likely trigger for the eventual bust.
Nvidia is a major single-point shock risk for the AI trade because it controls much of the AI hardware stack.
He says anything wrong with Nvidia could drive the whole market down.
Tell us a little bit about yourself before we get into everything. What got you into AI?
Shadid says he got into AI around 2022, first through trading/forecasting models, then through the GPU shortage and using Ethereum miner GPU supply, which led into IO.net.
Is there a bubble right now?
He says there is a bubble, but it is still early and could burst only later, possibly after an OpenAI IPO; he also notes infrastructure, energy, and nuclear names are benefiting.
How many jobs potentially around the world can we see lost because of AI and the AI advancement?
He says the problem is not simply job loss but the inability or unwillingness of workers to fully adopt AI. He claims his company shrank and then regrew around AI-native workflows and that similar changes will spread widely.
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