Stop managing information – start leading people

David Zey Gerry Pitt

June 15, 2026

There are questions every business leader should be asking right now – especially those responsible for technology, operations and growth: “If AI can answer questions faster, analyze data better and produce content instantly, what exactly is the role of a leader and how do you manage for growth and scale?”

This is no longer a forward-looking thought exercise.

It is already happening inside businesses across the Midwest.

AI tools are writing code, summarizing reports, flagging cybersecurity anomalies, assisting with ERP decisions and accelerating everything from procurement analysis to customer communication.

Experience, context and institutional knowledge used to separate leaders from their teams.

That separation no longer exists.

Large language models now hold more accessible, usable knowledge than any individual ever could.

That changes the foundation leadership has been built on for decades.

Which brings us back to the only question that matters right now: If AI knows more, what exactly is a leader’s purpose?

The shift from knowledge to applied judgment

For years, leadership, particularly in IT, was built on expertise.

The IT director understood the infrastructure better than anyone else.

The CIO knew how systems connected, where risks existed and how to prioritize investments. 

Experience translated directly into authority.

That model worked when information was limited and hard earned.

Today, knowledge is no longer scarce.

A junior analyst can use AI to troubleshoot infrastructure issues, draft system documentation or compare vendors in minutes.

Developers can accelerate coding tasks.

Security teams can surface vulnerabilities faster.

Business leaders can pull insights from data without waiting on specialized teams.

AI has flattened the knowledge curve.

But it has not replaced judgment and ownership.

Knowing what to do is easier than ever.

Knowing what matters, what to prioritize and what trade-offs are acceptable is where leadership now lives.

In IT environments, this becomes especially clear.

AI can recommend a security configuration, but it cannot weigh that decision against budget constraints, operational disruption or a business’s risk tolerance.

It can suggest system improvements, but it cannot align those improvements with long-term company strategy.

And it cannot own the consequences of those decisions.

The role of leadership is shifting from “knowing the answer” to “deciding what to do with the answer and how to live with it.”

Where many organizations get it wrong

When faced with this shift, many leaders respond by tightening control.

They insert themselves deeper into decisions, they centralize authority and they position themselves as the final checkpoint on everything from technology investments to operational changes.

On the surface, it feels responsible, especially in areas like cybersecurity or infrastructure where the stakes are high.

In practice, it creates bottlenecks.

IT teams slow down because decisions stack up.

Employees hesitate to act without approval.

Innovation becomes incremental instead of meaningful.

And, perhaps most importantly, teams disengage because they are executing instead of contributing.

In small- and mid-sized businesses, this dynamic is amplified.

There is no deep bench of specialized talent.

IT teams are already stretched across infrastructure, support, security and vendor management. 

When leadership becomes a constraint instead of an accelerator, the impact is immediate – missed deadlines, reactive firefighting and increased burnout.

Approval gates feel like risk management.

They are not.

They are a slow tax on ownership.

When every decision travels upward before it moves forward, employees learn exactly what the system is teaching them: that their judgment is not trusted, and that consequences belong to someone else.

This is where many organizations unintentionally fall behind.

Not because they lack technology, but because their leadership model no longer matches the pace of their tools.

The new responsibility of IT, business leaders

If AI is taking over knowledge-heavy tasks, leadership becomes something more fundamental and more demanding.

Leaders are now responsible for creating visibility and clarity to ownership in an environment that is moving faster than most organizations are used to.

In IT specifically, this shows up in a few critical ways.

First, prioritization becomes a leadership function, not a technical one.

Every organization now has more potential initiatives than it can execute, such as cloud migrations, cybersecurity improvements, data strategy, automation and AI integration.

AI can help evaluate options, but it cannot determine what matters most to the business.

Second, risk interpretation becomes more complex.

AI can surface vulnerabilities or anomalies, but it cannot interpret them within your specific environment.

Not every flagged issue is urgent.

Not every recommendation is practical.

Leaders must translate technical findings into business decisions.

Third, alignment becomes harder and more important.

Technology is no longer a support function – it is embedded in operations, finance, sales and customer experience.

Leaders must ensure that IT efforts are not just technically sound, but directly tied to business outcomes.

This is where many SMBs benefit from more structured IT leadership, whether internal or fractional. 

Without it, AI can create activity without direction.

There are faster outputs, but not necessarily better outcomes.

What AI cannot replace

For all of its capabilities, AI has clear limitations.

Those limitations define where leadership matters most.

AI cannot build trust within a team.

It cannot walk into a meeting where operations and IT are misaligned and create resolution.

It cannot recognize when a high-performing employee is starting to disengage.

It cannot mentor a developing team member or inspire confidence during a period of change.

It can generate communication, but it cannot create connection.

This becomes especially important in technology environments, where change is constant and often disruptive.

System upgrades, security policies, new tools and process changes all introduce friction. 

Without strong leadership, that friction turns into resistance.

With strong leadership, it turns into progress.

Employees do not resist technology.

They resist uncertainty, lack of visibility and clarity and poor communication around ownership. Those are leadership gaps, not technical ones.

Leadership as a multiplier, not a control point

The most effective leaders today are not the ones making the most decisions.

They’re the ones enabling better decisions across their teams.

Instead of being the central authority, leaders become multipliers.

They create environments where people can operate with confidence, make informed decisions and move quickly without constant oversight.

In IT, this means building teams that understand not just systems, but context.

Teams that know why priorities exist, not just what they are.

Teams that can evaluate trade-offs instead of escalating every decision.

This is also where AI can be a powerful partner, but only if leadership sets the tone.

AI increases the capability of your team.

Used poorly, it creates dependency and weakens critical thinking.

Leaders must actively shape how AI is used.

They need to encourage it as a tool for acceleration, not a replacement for judgment.

Done well, the speed of recovery becomes the competitive advantage.

Teams that know how to course-correct without escalating every mistake are the ones that keep moving.

Most organizations are not losing ground because of bad technology decisions.

They are losing ground because uncertainty has taught their people to wait.

Questions for leaders right now

For those navigating this shift, the starting point is not another tool or platform.

It is a clear look at how leadership is showing up today:

• When was the last time you focused on developing your team’s thinking, not just their output?
• Does your IT team bring forward ideas and risks proactively or only respond to direction?
• Are you creating clarity around priorities or are you allowing urgency to dictate where time is spent?

These are not abstract leadership concepts.

They directly impact execution, retention and overall business performance.

And for organizations that have normalized approval gates over years, unwinding that culture is itself a leadership challenge.

The new leadership advantage

AI will continue to evolve.

It will become more embedded in business systems, more capable in analysis and more influential in decision-making processes.

But it will not replace the human elements that determine whether an organization functions effectively.

The businesses that succeed will not be the ones that simply adopt AI tools.

They will be the ones that pair those tools with strong, intentional leadership and team scale.

Because the advantage is no longer knowledge.

It’s the ability to connect, align and move people forward.

For IT leaders, that means translating complexity into visibility and ownership clarity.

It means balancing innovation with practicality.

It means ensuring that technology decisions actually support the business, not just the system.

For business leaders, it means recognizing that leadership is no longer about having the answers.

It’s about creating an environment where the right answers can emerge and where people are motivated to act on them.

That is the role of a leader now.

The knowledge advantage was never the real job.

It was more of a shortcut.

The leaders who thrive from here will not be the ones who adapted fastest to AI.

They will be the ones who understood that information was never the job – leading people was. 

And now, finally, that is the only thing left to be good at.