If AI can build your business, who's in control? With DeepWisdom

Generative AI promised to transform how we work, while Agentic AI is beginning to transform how businesses themselves are built.  In this week’s episode of Shaken Not Burned, Felicia Jackson talks to Ethan Ouyang, who is AI ATOMS Spokesperson and responsible for North America Market & Partnerships. ATOMS is the venture building platform developed by DeepWisdom, one of China’s leading artificial intelligence companies. It has been designed as an agentic AI system, helping businesses, particularly small and medium-sized enterprises, integrate AI into their operations. Unlike traditional generative AI tools, agentic AI systems can take goals, execute tasks, adapt in real time and increasingly function as operational actors inside organisations. From launching products to running marketing campaigns and managing workflows, these systems are beginning to shift AI from a support tool to fundamental business infrastructure. This trend is dramatically raising the stakes in today's AI conversations. As AI systems move from producing outputs to taking actions, they are not simply improving productivity; they are beginning to reshape entrepreneurship, business formation and operational decision-making itself.  Using DeepWisdom’s platform Atom, AI agents are increasingly able to research markets, design products, launch businesses, run marketing and optimise revenue — pushing AI beyond content generation into execution. But this rapid acceleration of capabilities raises deeper questions. As AI capability expands, governance, ownership, financial models and operational discipline are still evolving. What happens when businesses can be built faster than the systems designed to regulate them? Where does accountability sit when AI agents act on behalf of founders or organisations? And what risks emerge when speed outpaces governance?This conversation explores: The shift from generative AI to agentic AI  How AI is transforming business creation and operational execution  Human-in-the-loop decision-making and delegated authority  Ownership, IP and evolving business model challenges  Why governance structures may be lagging behind capability  Sustainability, infrastructure, and the resource demands of AI at scaleIf you enjoyed this episode, subscribe to our newsletter and follow us on LinkedIn, TikTok and Instagram – and why not spread the word with your friends and colleagues?