Mike Pelfini — 07 April 2026

In the AI age, data driven decision making has become critically important. But achieving the best outcomes requires running the use of relevant data through a human-centered approach and leading from within.

AI disrupts organizational leadership as well as industries. More than half of senior leaders feel burned out, while 84% feel unprepared for AI disruptions, according to a recent McKinsey report. At the same time, 75% of employees say interacting with their managers or team leaders is the most stressful part of their workday. Just 25% feel inspired by their leadership culture.

But there is reason for optimism. McKinsey also reports that organizations with “strong cultural health” achieve 2.5 higher return on invested capital (ROIC) than their peers and are 2.4 times less likely to “face financial distress.” 

Leaders make the difference.

As Korn Ferry has reported: “70-80% of the environment experienced by a team can be attributed directly to the leader of that team.” That statistic dovetails with a Gallup finding that team leaders account for “70% of the variance in team engagement.” In other words, better leaders making sounder decisions develop more engaged teams, resulting in better outcomes.

This article examines leadership from the perspective of data driven decision making and leading from within with a human-centered approach. 

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What is data driven decision-making?

“Data driven decision making is the process of using data to inform your decision-making . . . and validating a course of action before committing to it,” writes Tim Stobierski of the Harvard Business School (HBS). Organizations that cultivate data-driven approaches are much more likely to report “significant improvements in decision-making” than less data-driven peers, according to the author.

Here are a few examples data driven decision making, according to Stobierski:

1.   Google’s leadership development. Google combined data from 10,000 employee performance reviews with employee retention statistics. It used the resulting dataset as a tool for leadership development by identifying the behaviors of managers that led to the most engaged teams.
2.   Starbucks real estate acquisition. After being forced to close hundreds of stores after 2008, Starbucks began using a data driven decision procedure to identify new locations based on demographics, traffic patterns, and similar factors to maximize the prospects of success.
3.   Amazon product recommendations. Amazon uses data analytics to determine which products to suggest based on past customer purchases. Using this data driven approach improved customer recommendations so much that 35% of Amazon’s sales are now tied to them.

Data is everywhere, generated from sales statistics, customer surveys and analyzing demographic trends. In the AI age, making the most of data driven insights is critical. But equally important is the need to inspire the humans that make up teams and organizations charged with delivering the results that these insights promise. For that, leaders need to focus on human-centered leadership and leading from within.

What is leading from within?

Leading from within is based on self-awareness and reflection. It encourages leaders to build their capacities for empathy, humility, and authenticity.

Declaring that the “imperial CEO is no more”, McKinsey says that leaders must “lead from the inside out” to succeed in today’s complex environment. Based on their experience in consulting with top level executives, the authors write that even the most competent, skilled leaders can struggle to inspire their teams.

Over-reliance on data and business skills can hold leaders back until they reflect on “how to become a more human-centric leader who is able to connect authentically with themselves and their teams.” Here are three keys to leading from within:

1.       Self-awareness and reflection. Leaders can begin to adopt a more human-centered style of leadership through self-awareness and reflection. Taking the time for strategic pauses is an excellent way to stay centered on the most important issues – not just the most immediate ones.
2.       The power of vulnerability. The main reason teams fail, the authors write, is lack of trust. When leaders allow themselves to be vulnerable, they can “invite thoughts and insights from colleagues, advisors, and friends – which, in turn, builds trust.” This pattern is at the heart of humble leadership.
3.       Knowing your triggers. Another way to lead from within is to know your “triggers,” the situations that set off automatic reactions and defensive behavior. Becoming aware of triggers and regulating emotional responses allows leaders to listen to others more carefully, increasing the likelihood of responding “in an open and positive way.”

Better leadership in the AI age

Combining data driven techniques with the ability to lead from within can help teams navigate the challenges of the AI age. Organizations need to take advantage of the data driven insights that AI can produce. But they should also keep in mind the human factors that contribute to team and organizational success.

The Harvard Business Review’s editorial staff recently published a compilation of articles and advice for leadership in the AI age. Below are three ways a human-centered approach can complement data driven planning:

1.       Focus on Psychological Safety:  Psychological safety is built by framing AI adoption as a “learning task,” with room for mistakes and growth, rather than an “execution task” to be mastered immediately. Leaders can help by modeling curiosity and being willing to share their own mistakes and struggles.
2.       Lead through AI anxiety: The age of AI is causing anxiety and FOMO about disruption and job loss. Leaders should address the issue with authenticity and transparency. Share your own uncertainty and model courage by taking action anyway. Equally important are action steps like skill-building opportunities and shared learning sessions.
3.       Protect the team from AI overload: AI tools don’t reduce work, they intensify it. The pace of work increases, while employees take on a broader range of tasks and work longer hours. This workload creep can turn into cognitive fatigue, burnout, and weakened decision-making. Leaders need to be vigilant and take proactive steps to avoid change fatigue.

While data driven decision making is necessary in the AI age, it isn’t sufficient to create successful organizations. Leaders must balance insights gained from data with insights gained from a human-centered focus on relationships, trust, and self-awareness. If leaders can master this balance, they are leading their organizations into evolving their brand culture for the AI age. If you would like to learn more about leadership in the AI age, please contact us.

About ForeMeta

ForeMeta prepares leaders for breakthrough transformation. Founded by executive coach and Vistage Chair Dr. Mike Pelfini, ForeMeta focuses on the people who make the decisions—helping CEOs and leaders of small to mid-sized companies and nonprofits deepen their self-leadership, clarify their why, and expand their capacity to lead. 

Through 1:1 executive coaching and thoughtfully facilitated peer groups, ForeMeta helps leaders create new possibilities and more fulfilling results for themselves, their organizations, and their communities.

©Mike Pelfini 2026, all rights reserved.