AI Industry Insights

Cognitive biases help people decide fast, but they also create blind spots. This page explains the most important biases in shopping and shows how today’s AI, from recommenders to chatbots, can quietly push decisions by leaning on those same shortcuts.

Follow the money, not the mission statements. It did not begin as a race. The early pitch was public benefit, shared safety research, and open collaboration. Then the money arrived: cloud credits, multi-billion-dollar stakes, compute deals, and valuation leaps that turned labs into geopolitical actors. Today, the leaders are not simply building tools; they are contesting for infrastructure, standards, and, ultimately, narrative control over what counts as intelligence and who

Criminals are weaponizing AI for voice-clone heists, deepfake robocalls, and phishing at machine speed. Here is how the chaos happens, why it works, and the minimum defenses that actually shift risk.

Feeds feel faker because they are. AI personas on Instagram, AI-only YouTube channels, and AI-written posts on LinkedIn and Reddit are now normal. Here are the verified numbers, why small labels are not enough, and a simple checklist to stay sharp.

AI crawlers are reshaping the web. This post explains what is really happening, shares fresh numbers, and lists practical steps you can take now: set a clear policy, enforce at the edge, verify identities, and consider licensing. Protect your site while keeping value flowing to creators.

NVIDIA’s $5T valuation isn’t about chips alone, it’s about owning the AI toolchain and the capex loop fueling it.

AI ethics are being stripped in real time. From loosened adult-content rules and civil-military partnerships to high-profile chatbot failures that praised atrocities, the guardrails Harvard warned about are sliding. This post shows what changed, why it matters, and how teams can respond with credible safeguards.