Daily analysis of why 85% of AI projects fail to reach production, featuring insights from MIT, Reuters, Wall Street Journal, Harvard Business Review, and more. Learn from others' mistakes before they become yours.
October 17, 2025
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework auto...
October 17, 2025
One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite thei...
October 17, 2025
Agents are the trendiest topic in AI today, and with good reason. AI agents act on their users' behalf, autonomously handling tasks like making online purchases, building software, researching busi...
A groundbreaking MIT study reveals that 95% of attempts to incorporate generative AI into business are failing. Despite $200B invested in AI in 2025, AI tools complete only 30% of real-world office tasks. Only 5% of businesses succeed at "rapid revenue acceleration."
The Bank of England warned that AI stock valuations echo the dotcom bubble peak, with 30% of the S&P 500 concentrated in just 5 AI companies—the highest in 50 years. "The risk of a sharp market correction has increased," the BoE's Financial Policy Committee stated.
Research shows that even the best AI products successfully complete just 30% of real-world office tasks assigned to them, with most doing significantly worse. Yet companies invested $200B in AI in 2025 alone, expecting AI to revolutionize productivity.
We monitor the world's most authoritative sources on AI implementation, enterprise technology, and business strategy to bring you critical insights on AI failures and recovery strategies.
Authoritative, deep-dive analysis of AI limitations, ethical dilemmas, and real-world business challenges.
Enterprise and ROI-focused coverage with case studies on AI project failures and strategic mistakes.
Breaking news on AI market risks, enterprise AI failures, and regulatory developments.
Executive-level perspective on AI ROI, market trends, and business implications.
Strategic insights on AI implementation, organizational change, and executive decision-making.
Technical perspectives and real-world implementation challenges from developers and engineers.
Primary source for latest AI capabilities with critical analysis of practical applicability.
Cutting-edge AI technology updates with analysis of compute costs and data requirements.
Reading about AI failures is educational. Diagnosing YOUR specific AI failure is actionable. Get expert analysis of why your AI investment failed and a specific roadmap to fix it—in 24 hours.
Get AI Failure Diagnostic - $995