⚛️ Amazon Bets on Nuclear for AI Power: Amazon plans a 960 MW small modular reactor site in Washington to meet soaring AI energy needs, deployment expected in the 2030s, pending approvals.

🤝 Meta Strikes $30B AI Data Deal: Meta and Blue Owl sealed a record $30B private financing for a Louisiana data center, using an SPV to shield Meta’s balance sheet while securing 5 GW capacity.

🚧 Instagram Adds Teen AI Chat Limits (Paywall): Instagram announced new controls to restrict AI chatbot conversations on sensitive topics like self-harm, aiming to safeguard teen mental health amid rising concerns.

🎭 OpenAI Blocks MLK Deepfakes in Sora: OpenAI halted Martin Luther King Jr. video generations in Sora after family complaints, citing respect for likeness rights and growing concerns over AI misuse.

🖌️ Facebook AI Now Edits Unshared Photos: Meta’s new feature lets its AI suggest edits to photos still on your phone—if you opt in, those images are uploaded to the cloud for creative prompts and sharing nudges.

🤖 ChatGPT App Growth Slows Post-Peak: Apptopia data shows ChatGPT mobile downloads fell 8.1% in October, with U.S. user time and sessions down over 20%—signaling an end to its novelty surge.

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Marc Benioff, Chairman, Founder, and CEO of Salesforce, on why they didn’t call back millions of potential customers. → Watch the full show.

Nation-states including Russia, China, Iran, and North Korea have dramatically increased their use of artificial intelligence to carry out cyberattacks and online deception campaigns against the U.S., Microsoft said in its annual digital threats report released October 16. The company detected over 200 cases of AI-generated fake content in July 2025—double the count from July 2024 and 10 times higher than in 2023.

Microsoft warns that these actors are leveraging AI to automate phishing, impersonate officials, and infiltrate sensitive systems, while U.S. cyber defenses remain uneven and often outdated. The U.S. remains the top global target, followed by Israel and Ukraine. → Read the full article here.

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AI has succeeded remarkably in domains where text is the native interface. Coding assistants, writing tools, and research platforms work well because LLMs are text-based systems operating in text-native environments. The interface matches the underlying technology.

But AI struggles when tasks require visual or interactive experiences. Ask an agent to analyze sales data, and you'll get paragraphs of text and (maybe) a vibe-coded graph that you have to triple check for accuracy. Request help with project planning, and you'll receive text-based task lists instead of visual timelines that show dependencies. We're forcing almost every interaction through the same interface, even when it doesn’t match how humans naturally process information. → Read the full article here.

U.S. electricity prices have risen 13% since 2022, with average household bills climbing sharply in some areas—partly due to the growing power demands of AI data centers. According to the Department of Energy, data centers could consume up to 12% of U.S. electricity by 2028, up from 4.4% in 2023.

While weather-related grid upgrades and electrification trends play a major role, AI infrastructure is now a significant contributor, particularly in regions with dense tech investment. Experts say pricing models haven’t yet adapted to this surge, meaning some consumer bills may reflect the hidden cost of AI’s rapid growth. → Read the full article here.

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Matthew Berman & The Forward Future Team

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