The problem is that the users are growing exponentially. So tradeoffs must be made. At Microsoft we had to do anti-customer things to serve the Windows group. We called them "strategy taxes." Everyone knew they sucked. But we did the best to make the customers happy despite
BUSINESS
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Visionary Leader Equips Company with Mac Mini for AI
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I met someone yesterday who works at a fairly sizeable company. "Our boss bought everyone in the company a Mac Mini to run AI on." "You have a smart boss." Visionary leaders do exist.
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DHL Deploys Smart Robots for adidas Warehouse Automation
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#Automation Boost: DHL Introduces Smart #Robots for adidas #Warehouse Operations
— Ronald van Loon (@Ronald_vanLoon) 17 avril 2026
by @lukas_m_ziegler#Innovation #FutureTech #Tech #SupplyChain pic.twitter.com/XMrIjx8xhx#Automation Boost: DHL Introduces Smart #Robots for adidas #Warehouse Operations
by @lukas_m_ziegler #Innovation #FutureTech #Tech #SupplyChain -
Why AI Honesty Products Fail Despite User Demand
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Several companies are already building this. The reason none have broken out isn't that nobody thought of it, it's that users say they want brutal honesty and then churn when they get it.
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What is your number one AI use case right now
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Quick poll – what's your #1 AI use case right now?
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Domain Expertise Over Vague Strategy in AI Playbooks
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The playbook only works if the domain expertise is genuinely hard to replicate. Organic leads as the outcome is a good example. Vague "strategy" as the outcome is not.
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Hiring differentiates teams shipping products versus model integrators
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This is already visible in hiring. The teams shipping fast AND shipping something people actually want to touch are a different breed from the ones just plugging models together.
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Trusting Your Vision Against Market Research Skepticism
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When Apple started up HP told Woz FIVE TIMES that no one would buy a personal computer, according to their consumer research. Woz wanted one for himself, so knew they were wrong. You are in same boat.
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Map workflows before building AI agents to solve right problems
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Most people skip straight to building agents before they've actually mapped their own workflows well enough to know what to automate. That's why so many agents solve the wrong problem.
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Rapid Release Cycle Challenges for Developer Testing
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The pace is so fast that by the time you finish testing one release the next three are already out. Chaotic for developers, great for everyone else.