practicalaisummit

You need to fire people that generate endless workslop with AI. There will be a cohort of people that will drag down the group project, so to speak. They’re going to have ChatGPT generate generic, low-quality, inaccurate, off-brand, potentially harmful BS for your company. Let’s call this person Slopbot Sam. Then they’ll pass it to a checker - a smarter liability holder, let’s call them Golden Greg - who has a higher bar and refuses to let trash out the door and who has to fix everything. Golden Greg is now stuck with hours of additional labor to review and potentially fix Slopbot Sam’s input. Golden Greg could have spent his time creating unbelievably high-value work and changing the course of his company for the better. Instead, Golden Greg’s time is allocated to fixing Slopbot Sam’s crap output. So your org is now producing Slopbot Sam’s half-baked ideas and Golden Greg’s edits, instead of both Slopbot Sam (with training) and Golden Greg’s best ideas. Workslop and lazy employees will destroy your competitive advantage. Raise the bar on Slopbot Sam and coach him. Set clear AI expectations and incentivize high-quality AI usage. AI usage alone does not equal success with AI. Work success is still based on quality, trust, taste and curation, data and insights that increase customer value, and speed of iteration toward a goal. Even if AI can 10x the quantity, you don’t want to scale trash. Fire Slopbot Sam. Reward Golden Greg.

BREAKING: McKinsey just analyzed $600B+ in tech investments across 13 frontier sectors & the results are shocking. Turns out, 78% of companies are using AI, but only 1% actually scaled it. Here's what their data revealed: (hint: we're measuring "AI adoption" completely wrong)