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Building Block: Productivity Comes From Priorities

Many leaders wear busyness like a badge of honor.

Back-to-back meetings.

Hundreds of emails.

A calendar with no white space.

None of those things necessarily create value.

AI is exposing an uncomfortable truth.

Many of the tasks consuming our day weren’t the highest-value work to begin with.

If AI can draft the email, summarize the meeting, organize the notes, and create the first draft…

…what should we be doing instead?

Thinking.

Coaching.

Building relationships.

Making decisions.

Technology should free us to spend more time on work only humans can do.

Building Block: Hiring Slowly Pays Dividends

In today’s talent market, many companies feel pressure to hire quickly.

That’s often a mistake.

A bad hire doesn’t just cost recruiting fees. It costs productivity, morale, customer relationships, and management attention.

The best organizations I’ve seen are patient. They know that waiting another month for the right person is almost always less expensive than spending a year managing the wrong one.

AI can screen resumes faster than ever. It can summarize interviews, compare candidates, and even identify potential skills gaps.

But AI can’t tell you whether someone shares your values.

Culture still matters.

Skills can be developed.

Character is much harder to teach.

The companies that win over the long run aren’t simply filling positions.

They’re building teams.

Building Block: Strategy Creates Sustainable Advantage

One of the principles I shared in The 100: Building Blocks for Business Leadership is that strategy isn’t about reacting to today’s challenges—it’s about intentionally building tomorrow’s success.

“Will this new (fill in the blank) still make sense when we are two or three times bigger?”

That’s a powerful question for any AI initiative.

Instead of asking whether AI can automate a single task, ask whether it strengthens your business for the long term. Does it improve customer service? Does it make your team more effective? Does it help you scale without sacrificing quality?

Organizations that think strategically about AI won’t just become more efficient.

They’ll become harder to compete against.

Building Block: Your Competitive Advantage Isn’t AI. It’s What You Do With It

Every business leader is asking the same question:

“How do we use AI?”

It’s the wrong question.

The better question is:

“How do we use AI better than our competitors?”

AI is quickly becoming like email, cloud computing, or the internet. Eventually, nearly every company will have access to similar AI models and tools. Simply having AI won’t create a competitive advantage.

What will?

The companies that rethink how work gets done.

The firms pulling ahead aren’t asking employees to “use AI when you can.” They’re redesigning workflows, eliminating repetitive tasks, shortening decision cycles, and giving people more time to solve customer problems.

That’s where the real return comes from.

I’ve seen organizations save hours generating proposals, documenting meetings, analyzing requirements, and creating software. Those time savings are valuable—but only if they’re reinvested in activities that create more value for customers.

Otherwise, AI simply helps you do the same work a little faster.

The winners will be the organizations that pair AI with capable people, strong processes, and a culture of continuous improvement.

Technology alone has never been enough.

Competitive advantage comes from how people use it.

Building Block: Great Solutions Begin with Great Questions

One of the principles I shared in The 100: Building Blocks for Business Leadership is to think before acting.

“Thinking first means working smart.”

It’s a simple idea, but one that has become even more relevant in the age of AI.

When developers pause to understand the business challenge before jumping into implementation, they avoid costly rework and create solutions that deliver lasting value. AI can generate code in seconds, but it can’t determine whether the team is solving the right problem.

The future belongs to developers who combine AI’s speed with thoughtful analysis, sound judgment, and a deep understanding of business objectives.

Technology rewards speed.

Leadership rewards asking the right questions before writing the first line of code.