Insights about
Design
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Why Your AI Benchmarks Are Lying to You
Organizations deploy top-benchmarked AI that scores 94% on standardized tests, then watch it fail culturally within weeks because evaluation frameworks treat meaning-making like mathematics. Research from the Alan Turing Institute reveals why benchmark scores don’t predict real-world performance: they measure universal correctness when cultural work demands contextual appropriateness.
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Why AI Won’t Save Your Broken System
Google Cloud’s 2025 DORA research surveyed 5,000 technology professionals and revealed AI as an amplifier, not a transformer—magnifying organizational strengths and dysfunctions equally. The uncomfortable truth: organizations celebrating individual productivity while ignoring foundational systems are funding failure at scale.
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When Humans and AI Teams Actually Work Together
Three researchers from MIT, University of Calgary, and University of Tennessee reveal the complex dynamics of human-AI teams, but the deeper question is whether these partnerships enhance human capability or create technological dependency. Expert insights reveal teams that appear most successful with AI are actually generating inefficiency while organizations chase the wrong metrics.
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Our Most Productive Employees Are Getting Penalized for Working Remotely
Remote workers clock one hour less per day than in 2019, yet productivity remains steady or improves. Despite this, they are 31% less likely to be promoted and 35% more likely to be laid off—described by Stanford economist Nicholas Bloom as “discrimination.” Organizations must recognize this hidden career penalty.