Yes — 88% of organizations report using AI in at least one business function. The catch is value: only a minority see measurable profit from it so far. (McKinsey, 2026)

About 900 million weekly users. But it is no longer a one-horse race: Gemini and Meta AI each claim 600M+, with Copilot and Claude climbing. (reported, 2026)

Roughly $2.5 trillion in 2026 — more than the entire GDP of all but a handful of countries. (Gartner)

Both. The cost to run a GPT-3.5-class model fell ~280-fold in two years, even as frontier models cost more to build. (Stanford HAI)

So far it is reshuffling roles more than eliminating them, and AI skills now carry a measurable wage premium. Browse our Workforce & Labor coverage →

It can screen for disease — one system is FDA-authorized to autonomously detect diabetic retinopathy — but a clinician still confirms the diagnosis. See the report →

Not yet. AI has found structure in whale and dolphin sound (a combinatorial ‘phonetic alphabet’), but no verified translation or two-way conversation exists. See the report →

Almost never. Across our reporting the pattern holds: AI scores, flags, and drafts; a human makes the final call. Legal AI tools, for instance, still hallucinate on 17–33% of queries. See Real-World AI Use Cases →

AI is the broad field; generative AI creates new text, images, or audio; a large language model (LLM) is the kind of model behind tools like ChatGPT. Browse the glossary →

Every headline figure links to its primary source and carries a date. Where estimates vary, we say so and show the range rather than cherry-picking one number. Explore the Library →