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Business Unusual
Forget buzzwords — this is where AI meets messy, real-world strategy. What happens when leaders actually redesign how business works?
Does algorithmic transparency become meaningless when AI systems are too complex for humans to understand?
If “algorithmic transparency” means handing you 175 billion puzzle pieces and calling it clarity, maybe it’s time for a different strategy.
Shareholders should have voting rights on AI governance frameworks just like executive compensation decisions.
Most AI “strategies” aren’t strategy—they’re fear in a blazer. Before you hand shareholders a vote, ask who’s actually steering the ship.
When 82% of leaders plan AI agents as team members, who gets fired when the AI makes a catastrophic mistake?
If your AI “teammate” can’t be fired, demoted, or held accountable—why are you letting it make decisions that *you* will answer for?
The EU AI Act vs. GDPR creates an impossible compliance paradox where fairness and privacy are mutually exclusive goals.
Everyone’s blaming the EU for the AI fairness vs. privacy mess. But what if the real issue is we got lazy—and they just noticed?
AI agents with autonomous decision-making authority over millions of dollars should have legal personhood and liability protection.
If your AI system just caused a $200M disaster, and your plan is to blame the bot—you may not need better tech. You need a better lawyer.
What is the impact of modern AI-powered developer tools, like Cursor or Windsurf, on team velocity, code quality, and the future role of human developers?
Your team didn’t get 10x faster—they just got 10x better at shipping half-broken features no one understands. Let’s talk AI dev tools.
Is the tenancy application holding us back? AI already knows more about renters than any form, so why are we still asking?
You can get approved for a $500,000 mortgage in 30 seconds—so why are we still faxing pay stubs to rent a $1,400 apartment?
Smart risk, dumb processes: the real drag on proptech ROI. We’ve nailed behavioural scoring, but outdated operations are still killing margins.
You don’t have an AI problem. You have a “why are we still emailing PDFs about lease risk” problem. The smart part’s done—your ops are the drag.
How should companies structure a “human-in-the-loop” AI system without slowing down operations?
If your human-in-the-loop setup feels like another weekly status meeting, here’s a hard truth: you’ve built theater, not oversight.
What are early indicators of successful AI-human collaboration?
If your AI strategy looks flawless on a slide, it’s probably broken in reality. The real signal of success? Discomfort, arguments, and weird workarounds.