… In AI research itself, increasingly powerful systems may be used to help develop successor versions of themselves. We sometimes call this “AI-driven AI R&D.” AI-driven AI R&D may be a “natural dividend” of making smarter and more capable systems. …
… To set them up for success, KPMG developed a new portfolio of PE-focused offerings, including KPMG Blaze, which can embed Claude Code to help teams modernize aging IT systems faster and ship new AI-enabled technology in a fraction of the usual time. “Human in the loop” in practice Joint research fr… …
Economic Research What 81,000 people told us about the economics of AI Apr 22, 2026 Read the PDF Key findings: Our recent survey of 81,000 Claude users shows that people who work in roles that are more exposed to AI have more concerns about AI-driven job displacement. …
… These early-adopting users may simultaneously be the most exposed to AI-driven disruption and most aided by AI in these initial, augmentative waves of adoption. Appendix Available here. Data availability Data from this report is available here . …
… An overview of approaches for understanding AI agent performance Method Pros Cons Automated evals Running tests programmatically without real users Faster iteration Fully reproducible No user impact Can run on every commit Tests scenarios at scale without requiring a prod deployment Requires more u… …
… Agents , on the other hand, are systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks. Below, we will explore both types of agentic systems in detail. …
… Our concerns are specifically with the risks to humanity posed by any powerful authoritarian political systems with access to frontier AI systems. Opportunities for engagement on AI safety Anthropic supports international AI safety dialogue with AI experts in China, when possible. …
… Agentic evals are end-to-end system tests by construction, and any component of that system can act as a confounder. …
… This process is very slow, taking around 50 years to disperse fully.” 4 With our bottom-up analysis of 1P API traffic we see Claude used to "Generate personalized B2B cold sales emails" 0.47% , "Analyze emails and draft replies for business correspondence" 0.28% , "Build and maintain invoice proces… …