AI at Work Was Supposed to Help. Instead It Became This. Podcast Por  arte de portada

AI at Work Was Supposed to Help. Instead It Became This.

AI at Work Was Supposed to Help. Instead It Became This.

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AI at work was sold as focus and flow; what we got is a slot machine welded onto Outlook. AI tools for business now behave like growth-hacked notification engines, hitting you hundreds of times a day in the name of “productivity.”

In this episode, we dig into how Microsoft Copilot and other AI productivity tools quietly turn your workflow into an engagement farm: prompts you didn’t ask for, “helpful” nudges that steal your attention, and dashboards that make distraction look like innovation. If you’re a business owner, manager, or knowledge worker trying to use AI for business without nuking your focus, this is your warning label.


🫟 ADDITIONAL RESOURCES

Microsoft, Work Trend Index Special Report "Breaking Down the Infinite Workday": https://www.microsoft.com/en-us/worklab/work-trend-index/breaking-down-infinite-workday


🫟 TOPICS

00:00 When Interruptions Take Over Your Workday

00:08 Why AI Tools Keep Pulling Your Attention Away

00:35 Copilot And The Problem With “Helpful” Prompts

01:32 Why SaaS Tools Bake In Interruptions

03:20 Every App Trying To Teach You At Once

05:54 Your Attention As The Real Resource

06:52 Engagement Metrics vs. Productivity

07:50 The All-In-One AI Tools Ecosystem Theory

09:13 Why SaaS Tools Won’t Give Up Notifications

12:47 What People Really Do With AI at Work

13:57 Using AI Personas To Stress-Test Your Ideas

14:48 AI For Data Storytelling

16:31 One Easy Step To Level Up With AI

18:42 The Real Gap In AI Productivity At Work

19:48 Real-Time Interruption: Meet Ramón

20:22 How AI Could Handle Most Executive Decisions

22:17 One More Thing...


🫟 ABOUT SLOP WORLD

Juan Faisal and Kate Cook plunge into the slop pile—AI news, cultural shifts, and the future’s endless curveballs. They’re not here to sanitize the mess; they’re here to wrestle with it, laugh at it, and find meaning where you least expect it.

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