Streaming platform Streamlabs has partnered with tech firm NVIDIA and software company Inworld AI to create a first of its kind AI assistant for live streamers.
The new tech, which will be available on Streamlabs, a live streaming and recording software for platforms like Twitch, Youtube, and Facebook, will give back or front-end co-hosting support to users who can choose their AI assistant’s personality to align with their stream.
With the goal of giving users “their very own production team”, the new interactive 3D co-host tool can answer questions about games being recorded, research facts and facilitate chat activity, play video and audio queues during gameplay to create atmosphere, and monitor the stream for technical issues.
Streamlabs CEO, Ashray Urs, said the advent of the technology “represents another leap forward for the medium, giving creators the power to harness this technology to make streaming easier and more captivating, all while maintaining the level of authenticity they need to nurture and grow their community.”
Streamlabs has said the development is being unveiled at Vegas tech conference CES 2025, taking place between the 7th-10th January, with further plans to release the product in the first half of 2025.
“We hope that with this groundbreaking technology, creators can now embrace AI in a way that is authentic to their brand and enables them to push the boundaries of innovation,” Urs continued.
Real-time Production And ‘Agentic Behaviour’
Brands see the value of integrated sponsorships in live streaming on platforms such as Twitch and Youtube – unlike conventional advertising, streaming allows for real-time interaction with audiences via chat, Q&A, and polls.
News of the streaming assistant could represent a significant development in the live streaming space, with wide-reaching implications for content creation, enabling creatives to edit live streams in real-time.
Most notably, the new innovation could signify a deepening of engagement with streamers and their audiences, and highlights the possibilities around real-time AI-supported production and the evolution of agentic AI – models that can act autonomously and adapt to changing circumstances.