In China, 95 percent of the 128,000 short dramas released in Q1 2026 were AI-generated. Some actors are being forced to hand over their voice and likeness to AI tools before getting fired, the Financial Times reports. AI-related labor disputes are rising fast.
The article AI-generated videos are already displacing actors and livestreamers across China's entertainment industry appeared first on The Decoder.
Alibaba's video generation model Wan3.0 creates clips up to 30 seconds long from text, PDFs, and PowerPoint files. A 30-second 1080p clip costs $6. Alibaba's quarterly profit dropped 75 percent year-over-year as the company ramps up AI spending.
The article Alibaba's Wan3.0 generates AI videos up to 30 seconds long from text, images, and documents appeared first on The Decoder.
AI production companies like Promise are setting up shop around Hollywood's historic studios, using real-time backgrounds and other AI tools to cut film costs. Netflix already uses AI in 300 of its 1,000 titles, and the startup Higgsfield now carries a $5.4 billion valuation. What was once a tech demo has grown into its own industry, complete with valuations, job titles, and fights over who gets a cut.
The article AI video market has bounced back from Sora's false start appeared first on The Decoder.
We’re more than 20 years past the launch of AWS, the starter gun for the shift of compute and storage from on-prem racks to the cloud.
The rapid growth of AWS and competing services like Azure and Google Cloud underscores how many companies have made the jump from controlling their own infrastructure to renting capacity from hyperscale public clouds.
For the major providers, the public cloud has proved an incredible business. Amazon’s cloud service generated nearly 60% of its first-quarter operating profit, for example. For cloud customers, however, the tides may be turning.
Think back to the early days of the public cloud. Azure and AWS scrapped for market share, offering price cuts to entice workloads to their centralized silicon. The situation has evolved over the ensuing decades. Today, cloud costs are material and rising, prompting some companies to question whether being cloud-first is the best path forward.
Cloud bills are expanding due to increased usage of hyperscaler infrastructure, yes, but also because many customers today use the cloud for everything, rather than for what it is best suited for.
n the latest episode of The New Stack podcast, Byron Dill, Director of Solutions Engineering at Summit, tells us that shared compute and storage have their place in the modern IT mix, but that many companies would do well to segment their workloads and move some of that work back on-prem. (Think lower costs and simpler management of high-risk data.)
The argument echoes what we’ve seen recently in the AI realm. Many companies quickly adopted AI technology, only to be surprised later by the bills they incurred. The public cloud is a similar frog-boiler, albeit on a slightly longer timeframe.
In both cases — AI and the public cloud — companies have learned that a product once pitched as a way to reduce spend can evolve into the opposite without careful management. Summit, which offers managed private clouds to enterprise customers, thinks that some corporate workloads should be removed from the cloud and moved in-house.
What will that cost? How long does it take to move? And which industries are most primed to benefit from their own private cloud? We get into it all in this episode.
The post Public cloud vs. on-prem: Summit on where each workload belongs appeared first on The New Stack.
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