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: 914SHOW TRANSCRIPT: The Cloudcast #914 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Try Postman AI Agent Builder TodayCut Enterprise IT Support Costs by 30-50% with US CloudSHOW 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 evolvingThe technology stack and standards are still evolvingEnterprise expectations are being confused with consumer expectationsAI predictions and timelines are overly aggressiveHow 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 distributedMost people don’t like to talk about the augment vs. replace issueMiscellaneous stuff:ChatGPT is the fasting growing tech ever AGI will be here at any momentFor the first 18+ months, it was only an OpenAI + NVIDIA marketAll software development will be done by AIThere will be $1B companies with 1 personGenAI, Frontier Models, Open Source Models, Agents, etc.Deep Seek, MCP, etc. FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpodFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @EntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow