YouTube Shorts
Videos from Skillion AI Labs on practical AI, workflow design, and venture building.
Shorts
Pete Cooper answers a question he gets asked often: are consumer AI chatbots like ChatGPT and Claude going to get more expensive? He argues retail prices will stay roughly where they are, and explains who he thinks will end up paying the real cost instead.
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Alice Bull describes a lead-generation dashboard she built for a UK construction company that pulled six separate data sources into a single ranked view. It is a concrete look at AI-assisted prospecting built on public data rather than a bought list.
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Pete Cooper explains Jevons' paradox, the 1865 observation that more efficient steam engines burned more coal rather than less, and applies it to AI. It is a short, clear answer to why falling AI costs are pushing resource use up instead of down.
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Pete Cooper picks up a guest's figure of an 83% downturn in the tech industry and argues the cause is not less code being written, but fewer developers writing more of it. He then names the data-heavy fields he expects the same pressure to reach next.
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Pete Cooper makes a quick case that AI is no longer an emerging story in business but the dominant one, using company valuations to make the point. He closes by spelling out what a unicorn actually is.
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Alice Bull explains why she chooses to work with solopreneurs and small businesses on AI: you can see the difference you have made far sooner than inside an enterprise. She contrasts that with a large US financial services firm where layers of hierarchy slow everything down.
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A guest argues that AI has made him more productive but has also generated more work rather than more free time. Pete Cooper picks up the thread with The Jetsons, and the flying car and one-button job that never arrived.
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Pete Cooper answers whether AI has a place in generating content, and lands on a qualified yes. His argument is that AI-made content earns its place as a genre of its own, and that the problem starts when it imitates a real person.
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AI is reshaping hiring by changing which roles disappear and which new roles emerge. This short asks whether businesses are prepared for that workforce shift.
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https://www.youtube.com/watch?v=YxXw2nj5M4U
AI Content vs. Human Connection: The Future of Marketing #shorts
Python combines rapid development with a large ecosystem of AI libraries, making it a practical choice for building and scaling AI automation.
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This short traces how a punk-rock festival inspired Liquid Death's unconventional approach to branding canned water.
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Retrieval-augmented generation connects AI to current company knowledge so its answers can be more accurate without retraining the model.
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RAG can reduce AI hallucinations by grounding answers in retrieved information, but unclear or conflicting sources still require human verification.
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Large language models can answer confidently even when they are guessing. This short explains why AI output should support, not replace, human judgement.
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This short considers the trade-off between efficient AI-generated voice and the emotional value of a human performance.
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Voice bots are part of the internet's shift from browsing and app APIs toward AI agents that can complete tasks on a user's behalf.
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Computer-use agents can browse websites and complete digital tasks for people, extending the internet beyond manual browsing and app-to-app APIs.
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Mykhailo Kushnir shares a builder's view of where AI agents work in practice and where business expectations are still mostly hype.
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A website chatbot can answer quickly, support visitors around the clock and automate routine conversations, helping teams respond without missing leads.
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