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_Welcome

Welcome to today's edition of AI Business Weekly — and thank you for spending part of my birthday with me! From Meta's strategic restructuring of its AI labs to a $130 million Series B in China's largest AI application funding round, today's stories capture both the growing pains and explosive opportunities across the AI landscape. As researchers work to democratize AI for agriculture and Wonder Studios secures backing from OpenAI and DeepMind executives, the divide between enterprise-scale AI and specialized applications continues to widen. Energy management and creative production are emerging as unexpected battlegrounds for AI innovation.

Let's dive in.

Meta to cut around 600 roles in Superintelligence Labs AI unit

Meta is cutting around 600 positions out of several thousand roles in its Superintelligence Labs as the Facebook owner looks to make its artificial intelligence unit more flexible and responsive. The job cuts will affect the Facebook Artificial Intelligence Research (FAIR) unit, as well as teams focused on product-related AI and AI infrastructure. The restructuring signals Meta's shift toward leaner, more agile AI operations even as the company continues heavy investment in the broader AI space. Read more

LiblibAI secures $130 million Series B in China's largest AI application funding round to date

Beijing-based LiblibAI has announced the completion of a $130 million Series B funding round, led by Sequoia China, CMC Capital, and a strategic investor. The fast-growing AI application company saw all existing backers — including Shunwei Capital, Source Code Capital, Future Capital, and Yingce Capital — increase their stakes in the round. Vision Plus Capital served as the exclusive financial advisor for what marks China's largest AI application funding round to date, underscoring continued investor confidence in specialized AI platforms despite broader market uncertainty. Read more

Wonder Studios raises $12M seed funding, backed by OpenAI and DeepMind executives

Wonder Studios, a London-based production house combining traditional filmmaking with advanced AI, has raised $12 million in seed funding from executives at OpenAI and Google DeepMind. The studio plans to use the funds to double its engineering team and scale original content production. The backing from leading AI executives signals growing confidence that generative AI will fundamentally reshape creative production workflows, bridging the gap between Hollywood storytelling and cutting-edge machine learning. Read more

Researchers at University of Guelph lead AI adoption in Ontario agriculture

As artificial intelligence reshapes industries globally, Ontario's agriculture sector is cautiously stepping into the digital age through AI4Food, a technology hub at the University of Guelph. Directed by Dr. Rozita Dara, the initiative brings together experts in computer science, engineering, law, and philosophy to explore how data-driven tools can make farming more efficient and sustainable. The research underscores a broader trend of AI moving beyond tech hubs into traditional industries, where adoption faces unique challenges around infrastructure, education, and trust. Read more

Swiss-based Exnaton raises Series A funding to expand energy management platform across Europe

Switzerland's Exnaton has secured Series A funding to grow its AI-powered energy management platform across European markets. The company focuses on optimizing energy distribution and consumption using artificial intelligence, positioning itself at the intersection of sustainability and smart grid technology. As Europe accelerates its clean energy transition, AI-driven platforms like Exnaton are attracting investor attention for their potential to solve complex infrastructure challenges while reducing carbon emissions. Read more

📢 AI Market Trends

Today's headlines reveal the paradox of AI's current moment: explosive funding rounds like LiblibAI's $130 million and Wonder Studios' high-profile seed round contrast sharply with Meta's 600-person restructuring of its Superintelligence Labs. As specialized AI applications attract capital across sectors from energy management to agriculture, even tech giants are being forced to optimize their AI operations for efficiency. The message is clear — the AI boom continues, but the bar for execution has never been higher. Investors are backing focused use cases over sprawling research initiatives, and companies that can't demonstrate clear value propositions are facing pressure to streamline.