Invest Like The Best
Conversations with the best investors and business leaders in the world. We explore their ideas, methods, and stories to help you better invest your time and money. Hear stock market and boardroom insights you can't find anywhere else. If you're a professional investor, CEO, entrepreneur, or business strategist, this is for you. Explore all our episodes and learn more at https://www.colossus.com
Past bets that played out
These are the clearest thesis calls with observable outcomes, linked back to the original videos.
...why OpenAI recently narrowed its focus, why demand for intelligence may be effectively uncapped, how close we may be to AGI, and what the future could hold for robotics, jobs, hardware, and human agency. We also discuss the accidental launch of ChatGPT, OpenAI’s competitive advantages, the economics of intelligence, and the pressure and responsibility that come with leading one of the world’s most consequential companies. TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber In
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
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Sam Altman on AGI, Compute, and Human Agency
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive services and elevated cybersecurity risk.
The 2028 Natural Gas Crisis No One Sees Coming
Transcript argues U.S. LNG export growth (from ~15 Bcf/d today toward ~35 Bcf/d by ~2030) creates a structural natural gas supply/demand squeeze that could surface around 2028 if production and infrastructure don’t keep pace. Implies upside risk to U.S. gas (HH) and beneficiaries among gas producers, LNG exporters, and midstream; gas-intensive users face margin pressure.
How the World’s Top Fundraiser Raised Billions For General Catalyst and Startups
The source text is largely garbled/fragmentary and reads like a partially transcribed podcast/article about fundraising/IR and “trade-offs” (size/speed/terms), with references to General Catalyst (private) and “Ramp/RAMP” (likely the private fintech). It does not contain clear, specific, tradable market-moving facts (earnings, guidance, deals, regulatory actions, macro data) or explicit public-company catalysts.
How Attention Became the New Capital
The provided source contains only a title (“How Attention Became the New Capital”) and repeats it in the body, with no substantive discussion, data, companies, sectors, catalysts, or time horizon. As a result, there are no extractable actionable theses or tradable ticker implications from this text alone.
Proof-backed call history
These are recent thesis calls tied to original source content where available.
...why OpenAI recently narrowed its focus, why demand for intelligence may be effectively uncapped, how close we may be to AGI, and what the future could hold for robotics, jobs, hardware, and human agency. We also discuss the accidental launch of ChatGPT, OpenAI’s competitive advantages, the economics of intelligence, and the pressure and responsibility that come with leading one of the world’s most consequential companies. TIMESTAMPS 0:00 Intro 4:10 The Race for Compute 14:24 A Sci-Fi Cyber In
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
Podcast summary highlights: accelerating AI capability toward AGI, “race for compute,” effectively uncapped demand for intelligence, AI embedded across economy, robotics, job disruption, potential cyber incident risk, and the economics of intelligence. It’s primarily narrative/strategic (few hard datapoints), but it supports a continued capex/compute buildout theme benefiting AI hardware, semis, networking, datacenters, and power/thermal infrastructure; with offsetting risks to labor-intensive s
...x sends back finished PowerPoint decks, Excel models, and sourced research." Felix works the way your team already does, delivering work quickly and accurately around the clock. Learn more at rogo.ai/felix. The best AI and software companies from OpenAI to cursor to Perplexity use work OS to become enterprise ready overnight, not in months. Visit work os.com [music] to skip the unglamorous infrastructure work and focus on your product. Another I'm just going to try to ask really simple questi
...time until until now. And distributed generation or BTM generation poorly positioned than investors memory shortage thing that we're going like DRAM 2 years ago." Slowly at first levelized cost of energy LCOE as it's this this revenue growth in anthropic or leave via LG export terminals or be than even these seven plus BCF pipelines longer, which only exacerbates this GRC engineer in the background, finding AP-1000 nuclear plants, uh, nuclear office." Now, the EDF, it's $ 260 as the maybe the
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Conversations with the best investors and business leaders in the world. We explore their ideas, methods, and stories to help you better invest your time and money. Hear stock market and boardroom insights you can't find anywhere else. If you're a professional investor, CEO, entrepreneur, or business strategist, this is for you. Explore all our episodes and learn more at https://www.colossus.com
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