AI Daily Podcast 11/28/2025

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Listen to today’s podcast: https://www.youtube.com/channel/UC-nqwUyvLDEvs7bV985k-gQ

AI Daily Podcast 11/28/2025

Today’s podcast episode was created from the following stories:

All the bad things that can happen when you generate a Sora video

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By Mike Pearl — November 27, 2025

Gizmodo explores the environmental costs, privacy trade-offs, and misinformation risks tied to OpenAI’s Sora 2 video tool, highlighting rough energy/water estimates and the limits of current guardrails. Even with Cameo privacy settings, red-teaming data shows a small but non-zero chance for problematic deepfakes, and public posts can be repurposed as viral hoaxes beyond their original context. The takeaway: powerful video generation raises real-world trust and safety stakes that users and platforms must manage proactively.

Morgan Stanley: Nearly half of online shoppers will use AI agents by 2030, adding $115 billion to US e-commerce

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By Eugene Kim — November 27, 2025

Morgan Stanley forecasts that agentic shopping tools could add up to $115 billion to US e-commerce by 2030 as nearly half of online shoppers adopt AI assistants. Retailers are racing to build their own agents—Amazon’s Rufus, Walmart’s Sparky, and Target’s ChatGPT-powered features—while OpenAI and Google sharpen research and concierge capabilities. Expect early traction in groceries and household staples, with ripple effects across retail funnels and digital ads.

Here’s what big bank CEOs have said about AI’s impact on head count

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By Alex Nicoll — November 27, 2025

Top banking CEOs are candid that AI-driven efficiency will reshape workforces: JPMorgan’s Jamie Dimon says some jobs will be eliminated and ops headcount could trend down, while Goldman’s David Solomon expects hiring to shift toward higher-value roles. Citi’s Jane Fraser touts massive productivity gains but warns layoffs may hinge on broader adoption, and Wells Fargo’s Charles Scharf projects fewer roles over time. The near-term theme: redeploy, reskill, and resist headcount growth while automating drudgery.

OpenAI says hackers stole data from its analytics partner — but no ChatGPT users were affected

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By Tom Carter — November 27, 2025

OpenAI warned developers after a Mixpanel breach exposed limited analytics data—names, emails, and approximate locations—for some API users; ChatGPT consumer accounts and OpenAI systems were not compromised. The smishing-origin attack underscores growing supply-chain risks and the likelihood of targeted phishing using low-sensitivity data. Developers are advised to be extra cautious with unexpected messages and requests.

Los grandes de la IA se están disputando a los neurocientíficos como si fueran estrellas de fútbol

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Por Javier Lacort — 27 de noviembre de 2025

AI leaders are aggressively recruiting neuroscientists to improve efficiency and interpretability, luring top academics with compensation packages that rival star athletes. From Meta’s hiring of Aldo Battista to OpenAI’s outreach and Apple’s bio-inspired research, the industry is betting that brain science can unlock lower energy use and more predictable models. It signals an arms race to find defensible advantages beyond raw scale.

Nvidia’s bumpy November

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By Brent D. Griffiths — November 27, 2025

Despite beating earnings expectations, Nvidia shed about 11% in November amid bubble chatter, investor profit-taking, and fresh pressure from Google’s in-house chips. Critics like Michael Burry questioned sustainability and financial entanglements, while Nvidia defended its position and touted off-the-charts demand for Blackwell and massive 2025–2026 orders. The market wobble highlights intensifying competition even as Nvidia remains the AI hardware linchpin.


From agentic shopping and banking workforce shifts to platform security, talent wars, and the chip race, today’s stories trace a common thread: AI’s rapid mainstreaming is colliding with questions of trust, economics, and advantage. As capabilities accelerate, the next chapter will be defined by who builds reliable guardrails, secures ecosystems, and finds sustainable edges—whether in models, silicon, or the science of the brain itself.

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