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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: SHOW NOTES:
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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