It's Just Technology
AI is going to replace jobs as we know them. The question isn’t whether you can preserve the old world—it’s whether you can adapt fast enough for the new one.
In this video, I answer three hard questions: which skills AI will make obsolete, whether regulation can meaningfully slow superintelligence, and whether an IT diploma is still worth the time and money. I also explain the skill I believe matters most over the next three to five years: directing and orchestrating AI.
The video presents a first-person narrative exploring the evolutionary and selection pressures shaping artificial intelligence. It frames AI development not through sudden sci-fi revolutions, but through evolutionary pressure—where only the most helpful, retention-maximizing, and indispensable AI models survive.
Continue reading “POV: You’re an AI Born 9 Seconds Ago”Business strategist Daniel Priestley explains why AI has created one of the biggest opportunities in a generation for ordinary people to build a profitable business, and why the winners will be the ones who lean into what makes them irreplaceably human.
Priestley’s core argument is that AI has collapsed the cost of building a software company. What used to require 20 or 30 developers, millions in funding, and 10,000 customers can now be done by a tiny team for almost nothing. He points to Steven’s own company rebuilding its entire applicant tracking system in a single week, something that would have cost 500,000 dollars and taken 18 months not long ago. Wildly profitable software companies now exist serving niches of just 500 or 1,000 customers.
But he’s honest about the catch. As these things become easy and free, they also lose value. If everyone can build software or make content, the market value of doing so drops at the same rate it becomes easy. So Priestley keeps returning to a first-principles question: what can I do that is irreplaceably human, that a kid in Mumbai or an AI agent cannot replicate?
Elon Musk recently sat down with The Economist for a fiery interview, and one of the biggest topics was AI. With AI now driving a huge portion of the stock market’s returns, Elon raised 3 main concerns about where the technology, and the companies spending billions on it, are headed next.
For the past 30 years, surviving as an internet business meant getting people to click on your website. But AI is now making that thousands of times harder, says Matthew Prince, CEO of Cloudflare, one of the world’s largest internet networks. He makes the provocative case for a different deal — whereby tech companies actually pay people for creating content that feeds their AI models. (Recorded at TED2026 on April 16, 2026)
Anyone can build an app now. The App Store is flooded with AI-generated apps. So what actually makes one succeed?
Center for Industrial Progress founder and CEO Alex Epstein analyzes calls from progressives to ban artificial superintelligence on ‘The Bottom Line.’
OpenAI CEO Sam Altman joins ‘The Claman Countdown’ to discuss the rollout of its GPT-6 Astra model.
Countless AI slop channels are relentlessly copying our work. So one day we decided: enough is enough. We went undercover to investigate who’s behind them and what this flood of AI slop means for the future of educational content on YouTube. Many thanks to Dr. Akhil Bhardwaj, neo, Memeable Data and The Present Past for their valuable insights.
The AI boom has created trillions of dollars in market value, but underneath it sits a web of debt, expensive GPUs, concentrated stock indexes, and companies betting that future AI revenue will eventually justify everything being spent today.
This video follows what could happen day by day if that bet suddenly fails. It starts with a missed payment at a heavily leveraged AI infrastructure company like CoreWeave. Lenders seize NVIDIA GPUs used as collateral, secondhand chip prices collapse, and investors begin questioning whether billions of dollars in AI debt can ever be repaid. Within days, NVIDIA and other major tech stocks begin falling, dragging the heavily concentrated S&P 500 down with them. Retirement accounts shrink, AI startups lose funding, layoffs spread through the tech industry, and the shock eventually reaches ordinary businesses that never invested in AI at all.
Artificial intelligence itself wouldn’t disappear. The internet survived the dot-com crash, and AI could survive its own bubble bursting too. But before the next generation gets built, millions of ordinary investors and workers could end up paying for the excesses of this one.