Tempering AI Expectations in the Enterprise

Are companies starting to get concerned that AI isn’t meeting expectations? Concern is a part of any new technology adoption curve, but let’s explore some areas where expectations might not be meeting results. 

SHOW: 914

SHOW TRANSCRIPT: The Cloudcast #914 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:

• Why AI isn’t meeting expectations (The Artificial Intelligence Enterprise)

IS THREE YEARS ENOUGH TIME FOR ANY TECHNOLOGY TO TAKE OVER THE WORLD?

• Costs are still high, and positive ROI is still evolving
• The technology stack and standards are still evolving
• Enterprise expectations are being confused with consumer expectations
• AI predictions and timelines are overly aggressive
• How is anymore measuring AI success? 
• The AI future is already here, it’s just unevenly distributed
• “AI First” strategies are following “Cloud First” strategies - unevenly and distributed
• Most people don’t like to talk about the augment vs. replace issue

Miscellaneous stuff:

• ChatGPT is the fasting growing tech ever 
• AGI will be here at any moment
• For the first 18+ months, it was only an OpenAI + NVIDIA market
• All software development will be done by AI
• There will be $1B companies with 1 person
• GenAI, Frontier Models, Open Source Models, Agents, etc.
• Deep Seek, MCP, etc. 

FEEDBACK?

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

FEEDBACK?

• Email: show @ the enterprise ai show dot com
• Bluesky: @TheEntAIShow.bsky.social
• Twitter/X: @TheEntAIShow
• Instagram: @TheEntAIShow