·
·
·
·
·
·
Business Unusual
Forget buzzwords — this is where AI meets messy, real-world strategy. What happens when leaders actually redesign how business works?
Should banks use AI for loan approvals or is that just automating financial discrimination?
AI didn’t invent bias in lending—it just made it impossible to ignore. What we do with that brutal clarity is where it gets interesting.
Why AI retail recommendations know what you want to buy before you do - and that's terrifying
You didn’t choose the boots. The algorithm did—and made you think it was your idea. Still feeling in control? Don’t be so sure.
AI in agriculture is feeding the world but killing traditional farming knowledge
The real risk isn’t AI replacing farmers—it’s AI forgetting what farmers knew. And when the data fails, guess who has no backup plan?
AI in manufacturing is so efficient it's making human workers feel like the bottleneck
If your humans only touch the system when it breaks, you've built a machine—not an organization. And it's brittle as hell.
B2B companies using AI to generate client communications should be legally required to disclose algorithmic authorship.
If you're obsessing over whether AI wrote that client email, you're asking the wrong question—and missing the real risk entirely.
The "10-20-70" rule proves AI success depends on change management, not algorithmic sophistication.
AI didn’t flop because people feared change. It flopped because the tech was irrelevant, the decisions were vague—and the dashboard lied.
Should companies face "algorithmic antitrust" regulations when their AI systems learn to coordinate pricing without explicit communication?
Your algorithm isn't texting your competitor—but it might still be colluding. Welcome to price fixing at machine speed, no conspiracy required.
Government AI optimization undermines democracy by reducing citizen engagement and participation opportunities.
If your AI strategy makes everything smoother but no one can challenge a bad outcome, congrats—you’ve built a velvet-gloved autocracy.
When women disproportionately occupy AI-exposed roles globally, does AI adoption amplify gender inequality in skills pressure?
AI isn’t replacing women at work. It’s politely demoting them—and teaching everyone to call it “efficiency.”
AI systems that perpetuate historical biases should be banned regardless of their superior performance outcomes.
If your AI reflects real-world bias, do you fix the system — or kill the mirror? The answer says everything about how serious you are.