AI

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Most people pick one AI tool and go all in. That feels efficient, but it creates risk and limits performance. The better approach is staying flexible, learning multiple platforms, and matching the tool to the task.

Most companies are not failing at AI because they picked the wrong tool. They are failing because they skipped the hard part. The tool is 20 percent of the work. The other 80 percent is people, process, and leadership.

People react to AI in three ways: scared, ignorant, or all in. Behind each reaction is a mindset that will determine how the next five years play out for their career.

Most people evaluate AI based on what it can do today. The ones who come out ahead are thinking about where it's heading and making moves now.

Most companies are using AI to cut headcount. The smart ones are using it to make every person on their team more effective. Here's why the force multiplier approach wins.

People keep asking me if they should use AI to write their resume. After 30 years of hiring, here is my honest answer.

The robotics industry is scaling fast, but the field service infrastructure to support it doesn't exist yet. That gap is about to become a serious problem.