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?

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