Box CEO Aaron Levie highlights a critical issue facing C-suite executives deploying AI, coining the term 'AI psychosis' to describe the disconnect between polished demonstrations and the complex realities of production systems. According to S&P Global Market Intelligence, 42% of companies abandoned most AI initiatives in 2025, a significant increase from 17% the previous year, with organizations scrapping nearly half of their AI proofs-of-concept. Despite the challenges, venture capital remains optimistic, with agentic AI companies raising $2.66 billion across 44 rounds in early 2026, nearly double the previous year's total. Investors are now focused on firms that can demonstrate reliable, production-grade solutions, as the global AI agents market is projected to grow from $7.84 billion in 2025 to $52.62 billion by 2030. The emphasis is shifting towards vertical applications in regulated areas where reliability is crucial.
AI Confidence Gap Costing Enterprises Billions, Reveals Box CEO
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Google DeepMind Unveils AlphaProof Nexus: AI Agents Solve Long-Standing Mathematical Problems
Google DeepMind has introduced AlphaProof Nexus, an agentic framework leveraging its Gemini technology to autonomously solve complex mathematical problems. The AI agent successfully addressed nine open Erdős problems, including two that had remained unsolved for 56 years, as well as 44 problems from the Online Encyclopedia of Integer Sequences (OEIS). Additionally, it resolved a 15-year-old problem in algebraic geometry and a seven-year-old question in min-max optimization. The initiative involves collaboration with mathematicians across various disciplines, highlighting the significant potential of agentic loops powered by Gemini.
