Director, GenAI Product Strategy & GTM @ Qwen https://www.linkedin.com/in/johnnymai-global/
FollowProducers and marketing leads planning AI video campaigns need a budget that survives the client call, yet Wan3.
Every video team on Alibaba Cloud Model Studio now faces a model choice: run Wan3.0 on wan3.0-video, or pay more for wan3.
Every marketing ops lead moving Wan3.0 into a monthly delivery commitment faces the same question: how do you turn a model that can make the final cut...
Every strategy and PMO director writing the 2027 plan faces the same backlog: ideas from every function, all labeled AI, with no common unit.
Every AI engineering lead with failing answers faces the same budget call: fix them with a better prompt, retrieval, or a fine-tuned Qwen model on Ali...
Operations and product leaders are probably holding two kinds of agent requests: one to agentify a process that already works, one from a team drowning in exceptions.
Every FinOps lead and engineering manager running Qwen on Alibaba Cloud Model Studio faces the same budget question: what will each workload actually ...
Every platform team serving Qwen at volume faces the same choice: send every request to the flagship, or route each one to the cheapest model that pas...
Every regulated enterprise running AI faces the same question: run Qwen open weights on infrastructure you control, or call Qwen through a managed API...
You are not buying a model. You are buying a unit of work. Same work, $216 to $20,000. Why?
Wan3.0 accepts documents, links, images, video, and audio in one prompt. Here is why omni-reference changes how teams brief a model, and how to write production briefs that survive to the final cut.
Wan3.0 at general availability: native up to 30 seconds, omni-reference across nine file types, editing carry-forward, and per-second pricing at $0.
Wan2.7 vs. Wan3.0, row by row comparison
About 95% of enterprise AI pilots fail to deliver measurable P&L impact, and the cause is rarely talent.
