The next winners in AI may not be the companies with the smartest models. They may be the ones with the most compute.
The moment a company becomes “the next OpenAI” or “the next SpaceX,” it risks becoming forgettable.
Many organizations launch transformation initiatives to move faster. Ironically, that’s often what slows them down.
The market rarely rewards the company that looks safest. It rewards the company that stands for something specific.
Most companies aren't hiring. They're looking for someone who has already solved a problem no one has solved before.
The market doesn't care how hard you worked to get here. It only cares if you're valuable next.
You don't need to be the smartest. You need to grow people in every meeting, every conversation, every single day.
The challenge isn't finding insights anymore. It's about getting people to stop searching once they've found what they're looking for.
Sometimes the biggest reporting problem isn't missing data. It's avoiding what the data is already saying.
In a world obsessed with AI, many startups are solving problems nobody actually has.
The best insights don't always win. The easiest stories often do.
The biggest threat to decision-making may not be bad AI. It may be AI that's too eager to agree.