Listen to today’s podcast: https://www.youtube.com/channel/UC-nqwUyvLDEvs7bV985k-gQ
AI Daily Podcast 01/11/2026
Today’s podcast episode was created from the following stories: a mix of politics, geopolitics, industry narratives, CES highlights, and lessons from both research and history. Here is your quick, podcast-friendly rundown.
The AI industry is getting into politics. Here are the key super PACs to watch in 2026.
By Bryan Metzger — January 10, 2026
AI money is flowing into 2026 races: the pro-AI network Leading the Future says it has raised 100 million dollars and is already spending in New York and Texas, while Public First counters with a 50 million dollar push for candidates favoring AI regulation. Meta is launching state-focused PACs in California and beyond to influence AI policy closer to the ground. Watch for donor disclosures, primary skirmishes, and how state rules shape the AI policy map.
Nvidia CEO Jensen Huang says AI doomerism has done damage
By Brent D. Griffiths — January 10, 2026
Jensen Huang argues that relentless doom narratives are discouraging the very investments that make AI safer and more useful, and he criticizes calls for regulation that risk regulatory capture. His push is to rebalance the conversation from fear to practical progress. Expect more CEOs to press this message as they seek policy space and investor confidence in 2026.
China warns US tech firms: do not poach our AI talent and tech
By Robert Scammell — January 10, 2026
Beijing’s probe of Meta’s acquisition of Manus signals tighter scrutiny of outbound AI talent and IP, and a clampdown on so-called Singapore washing. Analysts say the AI battleground is expanding beyond chips to models, agents, and people, accelerating ecosystem bifurcation. The most likely outcome appears to be approval with constraints, but the message to acquirers is clear: proceed carefully.
Desde un cortapelos a un marco de fotos: el CES ha confirmado que nos vamos a encontrar IA hasta en la sopa en 2026
Por Eva R. de Luis — 11 de enero de 2026
CES 2026 showed AI everywhere, from practical to questionable: AI bartenders, modular phone accessories, kids’ AI wearables, an AI hair clipper, and an E-Ink frame that generates images on command. Samsung’s AI fridge won an innovation award but drew privacy and repairability criticism, highlighting a growing pushback against always-on, ad-laden appliances. The big takeaway: consumer value, privacy, and durability will decide which AI-in-everything products actually stick.
AI is not making us smarter, it is training us to think backward
By Thibault Spirlet — January 10, 2026
Innovation theorist John Nosta argues that AI delivers fluent answers before users have developed understanding, risking shallow judgment and cognitive erosion. He urges treating AI as a partner for iterative thinking, not a shortcut, a view echoed by recent education and workplace studies. Action item for teams: design workflows that keep humans in the loop for questioning, reflection, and validation.
AI is old news. Generative AI is the future.
By Viviane Mendes — January 10, 2026
Traditional AI has powered recommendations and ads for years; the game-changer is generative AI’s ability to create text, images, code, and more. The author calls for deeper literacy, trusted training, and clear-eyed use cases, warning against hype and misinformation. Practical takeaway: ask which AI you need, map capabilities to outcomes, and build responsible adoption skills across your team.
General Magic: the company that tried to build the iPhone before Apple
Por Javier Pastor — 10 de enero de 2026
General Magic set out in the early 1990s to create a pocket communicator years ahead of its time, ultimately faltering amid technical limits, timing, and shifting market winds. Its alumni went on to build pillars of modern tech, from Android to eBay and the iPod, underscoring how talent ecosystems outlast product failures. The lesson for today’s AI hardware wave: timing, infrastructure, and distribution matter as much as vision.
Closing thoughts
From campaign cash and global scrutiny to boardroom narratives and gadget overload, AI is shaping power, policy, and products in real time. The common thread: discernment. Whether investing, regulating, or building, the winners in 2026 will pair ambition with responsibility, focus on human value, and keep learning loops tight between people and machines.
