Keywords vs. Experience vs. Personality: What your resume actually needs in 2026

Keywords vs. Experience vs. Personality:  What your resume actually needs in 2026

In 2026, a resume that only checks boxes won’t get you hired. Applicant tracking systems now understand context, recruiters are skeptical of keyword-heavy applications, and AI-generated resumes have flooded the market. The candidates getting callbacks are the ones who balance three things: relevant keywords, proven impact, and a voice that actually sounds human.

Your Clients Are Like Your Jeans

Your Clients Are Like Your Jeans

If you’ve been recruiting long enough, you start to notice a pattern: not all clients are created equal. Some feel effortless to work with, others take a bit more effort, and a few… well, you’re not sure why you’re still holding on.

Think of it this way—your clients are a lot like your jeans. Some are your go-to favorites, some are for occasional use, and some probably should’ve been let go a long time ago. The key is knowing which is which—and having the confidence to act on it.

Maybe isn't Good for Anyone

Maybe isn't Good for Anyone

In business, “maybe” often sounds thoughtful—but it’s usually expensive.

It creates the illusion of openness while hiding the real variables behind a decision. Over time, I’ve learned that most professional hesitation isn’t about lack of interest. It’s about lack of clarity.

The shift that changed how I approach conversations is simple: replace “maybe” with “if / then.”

Behind every “maybe” is a silent equation. When we articulate the conditions—salary, scope, location, timing—we transform ambiguity into structure. And once the variables are clear, decisions move forward much faster.

Most maybes aren’t indecision.

They’re just undeclared math problems.

From Pitch to Pines: Why Your Next Career Move Won’t Be Found on LinkedIn

From Pitch to Pines: Why Your Next Career Move Won’t Be Found on LinkedIn

Last week I stood around a campfire with friends I’ve known for nearly 30 years.

We met as college soccer teammates. Today we’re executives, entrepreneurs, freelancers, and a few people navigating career transitions.

What struck me most wasn’t the nostalgia—it was the networking.

In a world of Easy Apply buttons and algorithm-driven hiring, we often forget that careers still move through people.

Sometimes the most valuable opportunities don’t come from LinkedIn.

They come from a conversation offline.

The Hidden Ingredient Powering AI: Water

The Hidden Ingredient Powering AI: Water

Artificial intelligence is often associated with servers, silicon chips, and endless streams of data. What rarely enters the conversation is water. Yet water has quietly become one of the most critical resources powering the AI boom.

Behind every data center is a cooling system working around the clock — and in most cases, that cooling depends on millions of gallons of water. As AI expands, so does the demand placed on municipal systems, aquifers, and wastewater infrastructure. For utilities and water professionals, this shift represents both operational challenges and strategic opportunity.

Hiring for Capability, Not Credentials

Hiring for Capability, Not Credentials

For decades, degrees served as a convenient proxy for capability. But as roles evolve faster than education systems can adapt, that shortcut is losing relevance. Employers are increasingly prioritizing demonstrable skills, real-world experience, and the ability to learn over formal credentials—recognizing that degrees often reflect access and opportunity as much as aptitude. Skills-based hiring isn’t about dismissing education; it’s about defining talent more accurately for the work that actually needs to be done.