Inside China’s robot revolution | BBC News

There are more than two million robots working in China’s factories – which is more than anywhere else in the world – and they are continuing to scale up at extraordinary speed. It is a commitment that will surely change the world, much like the last time the Chinese economy underwent a massive transformation. It is already shipping its robots across the globe: more than half of the world’s industrial robots are now made in China. What is less clear is the impact of such sweeping automation in a country that sits at the heart of global manufacturing, trade and innovation.

The Godmother of AI Reveals What Comes Next

AI pioneer Fei-Fei Li reveals why the future of artificial intelligence goes far beyond chatbots — and how her $1 billion startup, World Labs, plans to help shape what comes next.

What’s Beyond ChatGPT? The ‘Godmother of AI’ Has Big Plans (2026)

Artificial intelligence pioneer Fei-Fei Li, often called the “Godmother of AI,” sits down with Emily Chang to explore what could come after the age of chatbots. From her groundbreaking work in computer vision to the launch of her billion-dollar startup, World Labs, Li shares her vision for a new generation of AI capable of understanding and interacting with the physical world. A look at where artificial intelligence is heading — and why the next major breakthrough may go far beyond ChatGPT.

Robinhood CEO’s TERRIFYING Warning About AI & Wealth Inequality

The CEO of Robinhood discusses his perspective on the current economic climate, balancing concerns about low productivity, national debt, and potential geopolitical conflicts with optimism regarding the transformative potential of artificial intelligence and technological innovation. He advocates for increased access to financial markets, suggesting that regulations like age restrictions for investing and the accredited investor rule create barriers that prevent younger and non-wealthy individuals from building wealth and learning essential financial lessons early on.

The discussion highlights his vision for a multigenerational financial platform that enables broad participation in the economy. He expresses concern that technologies like AI may exacerbate wealth inequality by centralizing power, emphasizing the need for wider public participation in capitalism to maintain societal stability. Ultimately, he argues that the U.S. can foster a flourishing economy by embracing technological shifts, attracting global talent, and ensuring that more people are actively invested in the growth of American companies.

LinkedIn’s BIG Update Just Changed Everything for Small Creators

In this video, Saarim Asady breaks down LinkedIn’s major algorithm update, which replaced hard-coded rules with an AI-driven system. Rather than relying on simple keywords or vanity metrics, the new AI scans your entire profile and content to deliver posts directly to your target audience.

Key takeaways include:

  • Quality over Reach: Overall views and impressions may decrease, but targeted reach will increase. Broad, generic posts dilute reach, while highly specific content helps the AI identify your ideal buyers.
  • New Engagement Signals: The AI evaluates dwell time and scroll-stopping behavior rather than relying solely on traditional likes or comments.
  • Profile Signaling: Your LinkedIn profile headline and content must clearly communicate who you serve and what outcomes you deliver to ensure the AI routes your profile to the right leads.
  • Evaluating Success: Creators can verify if the algorithm is working by checking profile viewers or post engagers to ensure at least 50% match their target demographic.

Ultimately, the update turns LinkedIn into a hyper-targeted organic prospecting tool, favoring niche, high-value creators over viral, generic posts.

Making A ‘Plan B’ for the AI Boom

Sam Palmisano says the AI boom is built on long-cycle bets in data centers, chips and energy, even as AI software changes at breakneck speed. If adoption slows or cheaper Chinese open-source models gain traction, Big Tech may have to rethink the spending plans behind today’s AI race.