A scouting trip, a dead tree, and a clear night in Colorado. Sometimes that's all it takes.
Most AI projects fail because teams pick their technology before they understand what they're solving. Here's how to know whether building, buying, or waiting is the right call for your situation.
High-trust organizations decide in three days. Low-trust ones take four weeks; and that gap determines who wins markets.
Where ancient volcanic ash meets the last light of day. A landscape so alien, NASA uses it to test Mars rovers.
Organizations spend $109 billion performing AI adoption while 74% can't demonstrate value. Here's what the tribal dynamics, power shifts, and measurement theater reveal about why the rituals matter to some more than the results do.
Tech's power players are making moves this week. OpenAI's circular financing, Nvidia buying into Nokia, and governments pushing back against Big Tech.
What an automated lighthouse taught me about work that matters
Most organizations have adopted AI, but few have genuine confidence in their approach. The gap between performing certainty and building capability is widening fast.
This week showed how fast the guardrails are falling behind. When AI tools can't accurately summarize news and hackers breach nuclear facilities through SharePoint, the gap between capability and control is getting dangerous.
Jensen Huang and Marc Benioff say AI agents will transform work overnight. The same promises were made about RPA in 2018 and then 50% of implementations failed.
I put in the work. It just didn't always lead where I thought it would.
While your competitors debug their latest tech stack, you're serving customers. Sometimes the most strategic technology decision is choosing the boring technology and strategy.
Technology keeps advancing, but the real story is what happens when it hits governments, unions, and market realities. This week: seizures, protests, collapsing values, and a reality check on AI timelines.
Leaders spend their lives extracting value from everything. But some things aren't meant to be useful; they're meant to be experienced.
Individual workers see 60% productivity gains from AI tools, yet national productivity statistics remain unchanged. The explanation determines whether your next AI investment builds competitive advantage or pays premium prices for concentrated benefits.
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