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PragmaticManager
Jul 7, 2026
Here's my honest breakdown after 18 months of real deployment: What works brilliantly, writing assistance, summarisation, first-draft generation, code completion, data extraction from documents. What's overhyped, autonomous agents completing multi-step business processes without supervision, AI 'reasoning' in high-stakes decisions, and anything that requires consistent factual accuracy. The PwC survey finding that 56% of CEOs haven't realised any revenue or cost benefit from AI investments tells...
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AcademicObserver
Jul 23, 2026
The Stanford AI Index 2025 data is instructive here (https://news.stanford.edu/stories/2025/12/stanford-ai-experts-predict-what-will-happen-in-2026). AI now exceeds human performance on many standardised benchmarks, but those benchmarks were designed for humans, not for the messy, ambiguous, context-dependent problems that define real work. The gap between 'benchmark performance' and 'real-world reliability' is the central unresolved problem in applied AI. Until we have better ways to measure re...