AI Augmenting vs. Replacing

Instead of focusing on augmenting existing teams and processes with AI, are we beginning to see more companies looking to replace teams with AI? Will economic pressure increase this likelihood? 

SHOW: 916

SHOW TRANSCRIPT: The Cloudcast #916 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw

CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"

SHOW SPONSORS:

• Try Postman AI Agent Builder Today
• Cut Enterprise IT Support Costs by 30-50% with US Cloud

SHOW NOTES:

• CEOs choose more AI, fewer jobs
• OpenAI plots charging $20,000 per month for PhD-level Agents
• Why AI isn’t giving Salesforce a boost
• The one person $Billion dollar company

HUMAN-AUGMENTED vs HUMAN-REPLACEMENT IS A COMPLEX AI STRATEGY

• Most AI projects today as either augmenting or replacing humans
• Technology has augmented, shifted or replaced human tasks for a while, this isn’t anything new
• Management/owners have tried to replace workers with technology for a long time
• Pricing will tell you something about the goal of the technology (e.g. seat vs. task)
• Now we’re starting to see the psychology of aligning AI to business goals - augmenting, shifting or replacing
• The hyperbole of AI funding is to convey direct lines to AI success (whatever success is - AGI, No Coders, No Operations, No Entry-Level, etc..)
• “How do we replace the employees with AI?”
• The path to get there isn’t well defined. The politics to get there isn’t defined by technology. 
• Will the current economic downturn accelerate this line of questioning / strategy? 
• The Bed Bath and Beyond 20% coupon test. 
• “The $billion dollar company with one employee.”

FEEDBACK?

• Email: show at the cloudcast dot net
• Twitter/X: @cloudcastpod
• BlueSky: @cloudcastpod.bsky.social
• Instagram: @cloudcastpod
• TikTok: @cloudcastpod