Awesome Stuff From Our Partner, NVIDIA -Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/Jason Feifer says we should use AI to break things. Might sound abrupt. But it’s sound advice coming from one of the leading voices in entrepreneurship and business. So how can we use AI to break things? We give a step-by-step guide.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan and Jason questions on AI and innovationRelated Episodes:Ep 196: The Silent AI Productivity Killer – Why companies can’t fully leverage AIEp 216: How to stand out in a world filled with AI startups – Insights from Taplio CTOUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:01:30 About Jason and Entrepreneur Magazine03:15 Break things that are already broken - what it means09:20 Questioning familiar systems, seeking improvement through change.11:18 AI tools streamline tasks, freeing time.14:46 First interactions with AI18:15 AI opportunities and caution in market focus.20:23 Develop systems for desired outcomes, AI's role.25:31 Belief in fixed work, worker ratio fallacy.26:37 New technology leads to economic shifts and innovations.30:46 Adapt to change for future job fulfillment.Topics Covered in This Episode:1. AI's Impact on Traditional Business Processes2. Viewpoints on Business and AI3. Future of AI in Business and Everyday Life4. Jason Feifer's Stance on AI and its Potential for Transformation5. Impact of AI on Media IndustryKeywords:AI, Jordan Wilson, Jason Feifer, antiquated business processes, challenging systems, property managers, generative AI, newsletters, business growth, creative expression, DALL E, Fathom, AI in business, consumer problems, Gartner hype cycle, microwaves, tech layoffs, entrepreneurship in AI, Entrepreneur Magazine, Jason Pfeifer, law, academia, student learning, AI advice, Everyday AI newsletter, job losses, economic shifts, lump of labor fallacy, automation, fast food kiosks.