From a technical perspective and an Elliot wave perspective, I believe we have just finished a correction and I've been waiting patiently to kind of build off the lows we made in in in uh at 60th,000. The ecosystem of the direct relationship between Bitcoin and the AI world is starting to act well. When you run out of compute, that is important for Bitcoin.That fits in with the scarcity argument. So, do I think we're just going to jump out of here. What's going on, guys.In this week's conversation with Jord ...

Core Insights - The CEO of Futurum Group, Daniel Newman, argues that the AI industry is not in a bubble but is facing a significant crisis due to a global shortage of compute power necessary for a long-term technological shift [1][2] - The rise of "agentic" AI systems will lead to unsustainable levels of compute intensity, resulting in a critical hardware shortage in the technology sector over the next 5 to 10 years [2] - 2026 is identified as a pivotal year for enterprise AI, where substantial corporate returns on investment (ROI) will begin to materialize, moving beyond consumer applications [3][4] Infrastructure Gap - Newman emphasizes that the current market frenzy is a preliminary stage of a multi-decade super-cycle, rather than a bubble [1] - The demand for compute power is expected to outstrip supply, with Newman stating, "We don't have enough turbines" to meet current and future needs [2] Enterprise AI and ROI - The industry is currently underutilizing available trained data, with much of it locked in proprietary systems for various applications [3] - The transition from the "build phase" of AI model training to the "monetization phase" of inference is underway, which will lead to measurable productivity gains [4] Efficiency at Scale - Google's Gemini AI model is generating an impressive 10 trillion tokens daily, showcasing the scale of current AI activity [5] - AI has significantly improved operational efficiency, reducing complex market research workflows from six months to just two weeks [5] Investment Opportunities - A list of AI-linked ETFs is provided for investors, highlighting their performance over six months and one year, with notable options including: - Defiance Quantum ETF (NASDAQ:QTUM) with a one-year performance of 44.55% [6] - iShares Expanded Tech Sector ETF (NYSE:IGM) with a six-month performance of 16.51% [6]