Technology Can Redesign Work. It Cannot Form the People Who Lead It.

A company can deploy new technology, redraw its organizational chart, and establish ambitious productivity goals.

But it cannot order people to trust the transformation.

Trust is built when leaders tell the truth, listen to those closest to the work, and remain accountable for the consequences of their decisions. These responsibilities cannot be delegated to an algorithm. They are the work of leadership.

This distinction matters as organizations move quickly to redesign work around artificial intelligence.

A recent Reuters investigation examined Meta’s effort to reorganize parts of its workforce around AI. According to the report, the company considered sharply reducing some teams and shifting employees into smaller groups supported by AI agents. The initiative reportedly encountered technical problems, employee resistance, performance concerns, and significant uncertainty.

One detail stands out from a leadership perspective: managers were left trying to answer employees’ questions without having enough information themselves.

Meta is an unusually large technology company, and its experience should not be treated as representative of every organization. Still, it illustrates a problem many leaders will face.

Organizations may be redesigning work faster than they are preparing people to lead through the redesign.

Technology can change how work gets done. It cannot form the people responsible for doing it well.

Transformation Is a Leadership Responsibility

Organizations often approach transformation as a technical project. Leaders select a tool, establish a timeline, announce the expected benefits, and train employees to use the new system.

When adoption is slower than expected, resistance is often blamed.

Sometimes people do resist necessary change. Leaders cannot allow every concern to become an excuse for avoiding progress. Accountability still matters.

However, resistance can also provide important information. Employees closest to the work may see risks that senior leaders cannot see. They may understand where a process depends on experience, judgment, or relationships that technology cannot easily reproduce.

Servant leadership does not mean surrendering the responsibility to make difficult decisions. It means making those decisions with a serious regard for the people who will carry them out and live with their consequences.

A servant leader listens before deciding, explains rather than merely announces, and remains accountable after the decision is made.

This is not weakness. It is disciplined stewardship.

Leaders Closest to the Work Matter

Senior executives set direction, but frontline and middle managers translate that direction into daily practice.

They are the people employees turn to with the questions that matter most:

• What does this mean for my work?
• Where should I use AI, and where is my judgment still required?
• Can I point out a problem without being viewed as resistant?
• Is this technology intended to help me or eventually replace me?

Managers cannot answer these questions credibly if they receive little more than talking points and implementation deadlines.

This is why efforts to eliminate management layers should be approached carefully. Organizations may reduce administrative costs while also removing the leaders best positioned to preserve trust, interpret change, and identify where a strategy is not working as intended.

The answer is not to preserve every management position. Some roles have become too focused on passing information, scheduling meetings, and compiling reports. AI will increasingly perform much of that work.

The answer is to redefine management around its highest purpose.

Managers should develop people, exercise judgment, connect strategy to execution, and help teams navigate uncertainty. Their value is not simply in the work they control. It is also found in the capability, confidence, and contribution they cultivate in others.

That is formation.

Tell the Truth, Even When the Answer Is Incomplete

Leaders do not need perfect certainty before communicating. They do need honesty.

During a transformation, employees should understand the difference between what has been decided, what is being tested, and what remains unknown.

A responsible leader should be able to say:

• “This is what we know.”
• “This is what we are testing.”
• “This has not been decided.”
• “This is when we expect to know more.”

Leaders sometimes avoid this level of candor because they fear creating anxiety. Yet silence does not remove anxiety. It leaves people to fill the gap with rumor and fear.

Honest uncertainty is more trustworthy than false confidence.

Managers must also be prepared before significant changes are announced. Employees should not learn more from rumors, news reports, or informal conversations than they can learn from their leaders.

If we expect managers to preserve trust, we must give them enough truth, authority, and preparation to do so.

Make It Safe to Tell the Truth Upward

Organizations need employees who are willing to experiment with AI. They also need employees who are willing to say when it is not working.

Microsoft’s 2026 Work Trend Index found that workers reported greater trust, critical thinking, and perceived value from AI when managers modeled its responsible use. Employees also reported greater readiness when managers created psychological safety around experimentation.

Psychological safety is sometimes misunderstood as the absence of standards or consequences. It is neither.

It means people can question an output, admit an error, or identify an unintended consequence without being punished for bringing forward unwelcome information.

That is essential during any period of change.

If employees believe success has already been declared, they will be reluctant to report failure. Leaders may then mistake silence for agreement and compliance for progress.

Servant leaders create room for people to speak honestly, but they also establish clear expectations. They combine accountability with compassion. They encourage experimentation while preserving standards.

Those commitments belong together.

Keep Responsibility Human

AI may analyze information, recommend an action, draft a response, or rank possible choices.

A leader still owns the decision.

“The system recommended it” is not accountability.

This is especially important when decisions affect employment, performance, advancement, compensation, or access to opportunity. Technology may assist our judgment, but it should not become a shield that allows us to avoid responsibility for difficult choices.

This is where leadership formation becomes more important than technical training.

Training teaches people how to operate a tool. Formation helps them determine when to use it, when to question it, and when efficiency must yield to human dignity and responsible judgment.

The leaders we need in the age of AI will require more than technical confidence. They will need prudence, humility, courage, and discernment.

These qualities cannot be downloaded. They are formed through reflection, experience, accountability, and service to others.

Turn Efficiency Into Greater Service

If AI saves a manager five hours each week, what should happen to those five hours?

The immediate answer may be increased output or a wider span of responsibility. That may sometimes be appropriate. Stewardship requires us to use time and resources responsibly.

But efficiency should serve a purpose beyond simply doing more.

Some of that recovered capacity could be invested in work that organizations frequently say matters but rarely protect: coaching employees, preparing future leaders, listening to customers, improving decisions, and addressing problems before they become crises.

AI is most valuable when it reduces administrative work and creates room for work that is more deeply human.

Servant leadership does not reject productivity. It asks whom that productivity serves.

Does the time saved produce only more activity? Or does it help us become more attentive to the people entrusted to our leadership?

That is the difference between treating efficiency as an end and treating it as stewardship.

Technology Must Serve the Person

The Vatican’s 2025 reflection on artificial and human intelligence, Antiqua et Nova, offers a useful standard. It teaches that both the purposes and methods of AI should be evaluated according to human dignity and the common good.

That principle belongs in our organizations.

AI is not inherently opposed to servant leadership. It can remove repetitive tasks, improve access to information, and increase our capacity to serve. But it becomes dehumanizing when employees are reduced to costs, data points, or obstacles to implementation.

The servant leader therefore asks more than, “What can this technology do?”

The deeper question is, “Who are our people becoming through the way we use it?”

Are they developing better judgment or becoming dependent on automated answers?

Are managers gaining time to lead, or merely receiving more people to supervise?

Are employees helping redesign their work, or simply being told to accept what has already been decided?

These are not reasons to fear technology. They are reasons to lead its adoption wisely.

The Work of Leadership Remains

Organizations do not need managers who defend every executive decision without question. Nor do they need managers who resist every change.

They need leaders capable of holding progress and responsibility together.

Technology will continue to change the work. It will automate tasks, accelerate decisions, and challenge many of our assumptions about organizational structure.

But leadership must still create trust. Leadership must still give meaning to change. Leadership must still accept responsibility. And leadership must still help people develop the judgment and confidence required to use powerful tools well.

Technology can redesign work.

It cannot form the people who lead it.

Questions for Reflection

• Where are we asking managers to lead change without giving them enough truth, authority, or preparation?
• Can people in our organization question an AI-supported process without being labeled resistant?
• How could we reinvest the time AI saves in leadership development, stronger relationships, and greater service?

This Week’s Leadership Challenge

Choose one AI-supported process affecting your team. Ask three people closest to the work what it improves, what it makes harder, and where human judgment remains essential.

Listen carefully to their answers. Then improve one part of the process based on what you learn.

The Leadership Briefing is a weekly reflection on developing leaders who exercise judgment, serve others, and build organizations capable of lasting through change. If that is the kind of leadership you want to practice and develop in others, I invite you to subscribe.