Anthropic reports Claude leads 26% of R&D in 2026

As artificial intelligence increasingly drives its own research, development, and infrastructure optimization, researchers and startups are exploring the implications for compounding capability gains and verification risks. According to recent self-reported and independent assessments, AI-assisted development is accelerating research milestones, though it also introduces risks of shared blind spots and optimization errors. The author argues that opportunities for startups lie in specialist optimization, trust and evaluation infrastructure, and new AI-native products. Open article →