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Your employees are losing their minds to AI

The new “super leader” has different skills
Today's leaders have a new problem ahead of them: How to transform their businesses into "supercompanies" by fundamentally rethinking the work they do every day.

Your employees are losing their minds to AI
AI dependence is already degrading cognitive capability in the workforce – and AI upskilling for employees needs to go beyond tools to protect the thinking that makes their work valuable.

The AI Conversation Is Growing Up
The AI conversation is growing up. And the companies pulling ahead are the ones who are moving fast from experimentation to system change.

What the Best AI Leaders Get Right About Culture
The best AI leaders are backing their strongest individual contributors, making AI everyone's job with clear ownership, and using governance not as a brake but as the unlock that lets adoption scale.

AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.

When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.

The three skills that actually matter to business growth
Do you ever look at a company like Google or Netflix and think, “I know we could be that successful – if only we had their people on our team”?
The bad news: It’s impossibly expensive to recruit talent from the top tech companies.
The good news: You can develop this type of talent in-house, if you zero in on the skills that actually matter to drive business growth.
To help you, our research team looked at 100 of today’s top-performing organizations and identified the business skills that matter.
These are the skills that should be your top priority in talent development. So let’s get started.



