From extreme ups to startling downs, every week can feel like the peak of expectations and the trough of disillusionment for AI.  SHOW: 954SHOW TRANSCRIPT: The Cloudcast #954 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that’s d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:THE UPS AND DOWNS OF AI - THE CONSTANT HYPE CYCLEHealthy Competition [YES]Consumer and Enterprise Markets [YES]Market leader(s) [YES, sort of]Well-Defined, profitable business model [NO]Open, lower-cost alternative emerged [YES/NO]Usage patterns emerging [YES/NO][ups] Constant high-profile VC, Sovereign wealth, hyperscaler funding of AI startups[ups] Constant high-profile CAPEX spending by hyperscalers, model builders, data center builders[ups] Rapidly growing user-bases[ups] Growing revenues at some companies (NVIDIA, OpenAI, Google, Microsoft, Anthropic)[downs] Growing losses at high-profile companies  [???] Frequent, high-profile movement by key people at high-profile companies (engineers, leadership)[downs] Frequent, partial acquires of founders and key engineers, but not entire companies[downs] Secondary market scales of startup shares, bypassing traditional secondary and public markets[downs] No “NetFlix of AI” company[downs] No “AI Agent” success stories[???] Consumer “winner-take-all” mindset from AI companies[downs] Enterprise companies struggling to create ROI+ projects (in early days)[???] Enterprise “bundles” raising prices (CoPilot, Gemini, etc.)[downs] Unclear if new frontier models are getting better than previous versions (e.g. GPT-5)[???] Are inference prices coming down? [ups] Consumers have many excellent AI choicesIt’s unclear if AI companies have created any moats yet; it’s unclear if LLMs can be differentiatedChatbots, developer-assistants and document management are use-cases. What else?Are agents ready to be mainstream yet? Pick-axe providers are making the money right now (NVIDIA, Broadcom, etc.), but is there moat entirely on super-premium HW?User-experiences are still being understoodWill AI + Ads (business model) be a big bang event, or happen gradually? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

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