Why Businesses Can’t Ignore AI Anymore
Pete Cooper explains why AI adoption is becoming a competitive issue for businesses, with implications for productivity and operational leverage.
YouTube Shorts / Page 2
Videos from Skillion AI Labs on practical AI, workflow design, and venture building.
Shorts
Pete Cooper explains why AI adoption is becoming a competitive issue for businesses, with implications for productivity and operational leverage.
Ellen Anckaert explains how small businesses can use AI for repetitive administrative work while preserving the human touch clients value.
Ellen Anckaert discusses how workplace automation can remove tedious tasks and improve daily workflows rather than simply replace jobs.
This short explains why building a solution before identifying a real problem often fails and encourages creators to begin with validated needs.
A three-phase prompting method that uses personas, devil’s advocacy, and challenges to an AI assistant’s agreeable defaults to produce stronger answers.
This short argues that foundational learning with pen and paper can make people better at using AI and more capable of spotting its errors.
A look at how AI music tools can help move ideas into demos more quickly, lowering production barriers while leaving creative direction with the artist.
Pete Cooper describes using large language models as always-available business partners for productive thinking, analysis, and goal-focused work.
This short explores using AI as a creative partner to generate new lyric directions and help musicians work through writer’s block.
A discussion of AI as a powerful tool whose benefits depend on cautious, responsible use, illustrated through everyday tasks and advice.
A discussion of how banks and financial institutions adapt to rapid technology change while protecting customers from scams and vulnerabilities.
This short examines the risk that pattern-based AI answers can create a shallow sense of understanding and argues for deeper foundational learning.
A reminder that AI can assist with work but does not remove personal responsibility for understanding, checking, and owning the final output.
A discussion of vehicle safety data and how AI-assisted systems may reduce deaths compared with vehicles that do not use those systems.
This short compares the vision demands of Tesla’s full self-driving system in controlled and open environments and considers uses beyond driving.
A firsthand look at Waymo rides in San Francisco and the potential for self-driving technology to change ridesharing and reduce traffic fatalities.
A comparison of current self-driving AI with an F1 driver, examining situations where automation performs well and where human skill still matters.
This short explores public expectations for autonomous-car safety and why those expectations differ from early assumptions made by the industry.
A brief look at full self-driving technology and a future in which AI agents may offer more private, personalised digital conversations.
A discussion of the emotional reaction to synthetic media and why encountering fake content can leave people feeling deceived or manipulated.
A discussion of using AI to identify warning signals and prompt timely human intervention before stress, fatigue, or other risks lead to harm.
Aparna Bharati discusses whether computer vision can find reliable outward signals of dehydration, stress, fatigue, and human wellbeing.
Image-science specialist Chris Silsby explains why autonomous vehicles may use up to 15 high-resolution cameras to perceive complex road environments.
A look at how quickly AI-generated video improved, using the well-known progression of synthetic Will Smith spaghetti clips as an example.
This short discusses misuse of generative AI for non-consensual sexualised edits and the speed and scale at which harmful content can spread.
Pete Cooper reflects on AI-enabled team workflows in construction and why investors may back the broader AI trend rather than isolated tools.
This short presents an expert view that current neural networks learn patterns without physical grounding, limiting near-term claims about artificial general intelligence.
A construction-industry observation that AI tools are being built around approved 2D drawings as the source of truth rather than requiring a BIM-first workflow.
A discussion of AI moving from reactive analysis toward earlier medical warnings, diagnostic support, and timely interventions in healthcare.
A quick guide to transferring saved AI memory from services such as ChatGPT or Gemini into Claude instead of rebuilding context from scratch.
A discussion of increasingly convincing AI-generated images and deepfakes, along with the technologies being developed to authenticate real media.
A discussion of Tesla’s self-driving promises, vision-system failures, serious accidents, and the accountability gap when automated systems make mistakes.
Pete Cooper shares a BuiltWorlds conference example of an AI-native construction company increasing adoption and completing weeks of work in hours.
A small-agency owner explains how AI has narrowed the capability gap with much larger agencies that previously had a decisive resource advantage.
An introduction to search agent optimisation and how AI assistants such as ChatGPT are changing the way people discover information online.
Miguel Adao discusses AI-enabled ingestible devices and micro-robotics, including their potential role in healthcare systems and treatment.
This video compares modern fears about AI with earlier waves of technological adoption and argues for learning from history instead of reacting to hype.
A discussion of common fears about AI, including scams and job displacement, and how those concerns may shape the future workforce.
This short considers when AI can increase efficiency and productivity, and how poor implementation can instead contribute to job losses or business failure.
Dante Fiorini explains why brands need credible off-site signals as AI agents and bots play a larger role in finding and evaluating businesses online.
A quick look at LTX-2, an open-source model that can be downloaded and run locally as an alternative to monthly AI video subscriptions.
A discussion of how convincing AI-generated images and video challenge the assumption that visual media records something that happened in reality.
Randall Farley connects the signal-processing technology behind early mobile phones with the foundations of today’s generative AI systems.
Wayne Chasan argues that strong photography begins with learning to see and form an image in your mind, rather than concentrating only on cameras and gear.
A teacher explains how ChatGPT can reduce lesson-preparation time, support independent practice, and help one teacher work effectively with more students.
Delphine explains how AI travel planning can compare options and shape an itinerary around both activities and time to relax.
A look at Apple’s phone-and-AirPods live translation feature and how it brings the science-fiction idea of instant spoken-language translation closer to reality.
Pete Cooper warns that AI hallucinations can be repeated and re-cited until unsupported claims appear factual, weakening trust in online information.
A short warning about YouTube’s reported use of AI to alter creators’ appearance, lighting, and facial details without clear creator control.
Sowmyanarayanan L explains why effective business communication still depends on storytelling and why copying generic ChatGPT output is not a substitute for that craft.