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

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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. 

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