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