AI was supposed to make work easier.For many teams, it made things worse.More tools.More noise.More pressure to “use AI” without fixing how work actually gets done.In this episode of the AI for Everyone Podcast, host Harrison Painter sits down with Monica Marquez, former Goldman Sachs, Google, and EY leader, to break down why AI adoption inside organizations often backfires and what leaders need to fix first.Monica shares what she’s seen inside large enterprises, why AI creates risk when it’s layered on top of broken workflows, and how teams should be thinking about AI as a system, not a shortcut.This is a conversation for leaders and professionals who feel the weight of AI expectations but know something is off.Not another tool review.A reality check on how work actually gets done.Learn more about Monica’s work at Flipwork.ai.Show NotesGuestMonica MarquezFormer Goldman Sachs, Google, EYFounder, Flipwork.aiHostHarrison PainterAI ExpertAI for Everyone PodcastFounder LaunchReady.aiWhat We Cover• Why AI often makes work harder instead of easier• The “Wild West” phase of AI inside companies• Why tools don’t fix broken workflows• Teaching AI like an intern, not a magic box• The difference between information, knowledge, and wisdom• Measuring real productivity in an AI-enabled workday• Why bad data can be more dangerous than bad leadership• How leaders should rethink work in an AI-driven worldKey Takeaways• AI exposes broken work instead of fixing it• More tools do not equal better outcomes• Systems matter more than software• Human judgment still owns context and wisdomWho This Episode Is For• Executives and team leaders• Professionals responsible for outcomes• Teams overwhelmed by AI tools• Anyone tired of hype without resultsLinksFlipwork.aiExplore Monica’s work on structured, human-centered AI workflowsQuick QuestionWhere is AI adding friction instead of leverage in your work right now?

AI is fundamentally shifting the landscape of SEO. Are you worried about how to get your website ranked in the age of generative AI?In this breakthrough interview, Stephen Heitz, Chief Innovation Officer at LaVidge, reveals the cutting-edge concept of Predictive SEO. Learn how he’s pioneering the use of AI to forecast content ranking before it's even published using proprietary technology like Market Brew and its "digital twin" of a search engine. What You'll Learn: * The end of the old-school discovery journey and the shift in user behavior due to AI tools searching better than humans. * Why search engine optimization is more important than ever, even as paid traffic declines. * The new strategic combination: SEO, Public Relations, and Reputation Management to get authoritative statements about your brand. * The "work slop" problem: how low-effort AI content has destroyed the value of traditional content marketing and why authenticity is key. * How the Market Brew platform uses Particle Swarm Optimization to model a search engine's 35 algorithms and predict content performance in real-time. * Why focusing on strategy and business outcomes is the only way to thrive in the new AI-driven marketing landscape. About the Guest: Stephen Heitz is the Chief Innovation Officer at LaVidge, a top advertising agency in Phoenix, Arizona. He's a Forbes Best of the Web honoree for pushing the boundaries in Martech and won Innovator of the Year. Host: Harrison Painter - AI Adoption Strategist - AI Expert Trainer

Podcast: AI for Everyone Podcast - AI Rockstars Interview Series #PredictiveSEO #AIinMarketing #FutureofSEO #ContentStrategy #DigitalTransformation #MarketBrew

In this episode of AI for Everyone, Harrison sits down with Minyang “MJ” Jiang — Chief Strategy & Revenue Officer at Credibly. MJ’s career spans from human rights work to Ford Motor Company to reshaping fintech with AI.We talk about why AI should augment, not replace; the real risks of bias and black-box systems; why human experts will matter more than ever; and how AI can support but never replace great teachers. MJ also shares insights from Wharton and what she believes the 2030 workplace will look like.If you want a practical, human-centered take on AI adoption and culture, this is the episode for you.Harrison PainterAI Training Expert and Ethical AI Adoption Strategist

Credibly: https://www.credibly.com/

Chapters:00:00 – Intro: Who is Minyang Jiang?02:00 – From literature and nonprofits to Ford and fintech06:00 – Can AI reduce bias in lending?11:00 – Why human experts must stay in the loop17:00 – Upskilling, quality control, and AI adoption at scale23:00 – AI, creativity, and mental health concerns29:00 – Where AI helps education — and where it hurts35:00 – Why “AI-first” companies may be getting it wrong38:00 – Speed Round + Closing insights