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Home Leadership

Tomorrow’s Best Leaders May Not Be Today’s Best Performers — Here’s What Companies Should Look For In The AI Era

Companies that still equate high performance with leadership potential risk building a leadership pipeline for a business that no longer exists.

Lynn CollinsbyLynn Collins
August 18, 2026
in Leadership
Reading Time: 5 mins read
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Tomorrow’s Best Leaders May Not Be Today’s Best Performers — Here’s What Companies Should Look For In The AI Era

Organizations are increasingly turning to simulations, assessments, and future-focused talent strategies to identify leaders before they're needed.

AI is changing how organizations think about talent, yet many still promote as if current performance equals future leadership potential. The problem is not that leaders fail to understand the difference. Most know the standout salesperson may struggle as a sales leader because closing deals is not the same as developing a team.

The problem is that performance is visible, measurable, and easy to defend in a talent review. Potential is harder: it is a judgment about whether someone can grow into a larger, more complex role that may not yet exist. So organizations make an implicit assumption that what got someone here will get them there.

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That assumption is getting more dangerous because AI is changing what it means to be the “best” talent. The very things that made someone a standout — deep expertise, speed, being the person in the room with the answers — are among the capabilities AI is commoditizing fastest. 

That raises an uncomfortable possibility: your highest performers today may be the most exposed tomorrow, not the most ready.

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And most organizations can’t yet tell the difference. In one study, only 36% agreed their potential assessment process was effective. So how do you actually identify potential clearly enough, early enough, and fairly enough to act on?

Assessing Potential for an Uncertain Future

Even if an organization has measured potential the right way historically, it might still be out of date. According to Talent Strategy Group’s 2025 Potential Report, 65% of organizations are still using definitions of “potential” that predate the widespread adoption of AI in the workplace. 

They’re measuring tomorrow’s leaders with yesterday’s ruler.

Potential should never be defined in the abstract. Every organization needs to identify the capabilities most critical to its future strategy and culture, then assess candidates against those requirements.

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The most effective way to do that is through future-back thinking. Most talent processes start with the person: who they are today, how they’re performing, and what they’ve accomplished. Future-back thinking reverses that logic, starting with where the business is headed and working backward to the leaders it will take to get there.

The process has three steps.

First, identify the trends genuinely reworking your business, the shifts affecting your markets, customers, workforce, and technology.

Second, consider how those trends interact. AI, for example, isn’t changing work in isolation; combined with moves toward skills-based organizations, it demands leaders who can navigate ambiguity, influence across networks, and drive change.

Third, focus on the future scenarios that are both the most likely and the most consequential. Those are the futures your leadership pipeline should be built to serve.

This produces the thing many talent strategies skip: a clear answer to potential for what? Rather than relying on yesterday’s competency model, organizations define potential against the future they’re most likely to face and are better able to evaluate future leaders.

High-Potential Leaders Share a Recognizable Core

Certain leadership qualities apply to almost any future. Beneath the specifics your strategy will demand, high-potential leaders share a recognizable core: they demonstrate leadership maturity through self-awareness and accountability; people acumen through their ability to influence and develop others; and business acumen through strategic thinking and sound judgment.

They also share an aspirational mindset, a hunger to learn, grow, and take on more. And as AI shortens the half-life of expertise, what someone already knows may matter less than how fast they can keep learning. 

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That re-ranks your talent: the deep expert you’ve always prized may be a weaker candidate than the fast learner one level down.

Looking Beyond Performance Reviews

Most performance reviews aren’t designed to measure leadership potential. After all, they’re performance reviews, not potential reviews. So what should organizations be evaluating instead, and how?

Instead of relying on a single assessment, leading organizations increasingly use a multi-method approach to evaluate leadership potential from several angles. Together, these methods provide a more complete picture of leadership readiness.

Consider these four assessment methods:

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  • Behavioral interviews that explore how candidates have handled leadership challenges and decisions in the past.
  • Psychometric assessments that provide insight into personality, motivations, and leadership tendencies.
  • 360° feedback that gathers input from managers, peers, and colleagues to provide a broader picture of leadership effectiveness and interpersonal impact.
  • Simulation-based assessments that place candidates in realistic leadership scenarios, allowing organizations to observe how they make decisions, exercise judgment, and respond to complex business challenges before they step into a larger role. 

Simulation-based assessments are particularly valuable. By placing candidates in realistic, future-role scenarios, organizations can observe how they prioritize, make trade-offs, exercise judgment, and respond to ambiguity — the kinds of decisions they’ll face if promoted. 

The best way to predict potential is by placing the individual in that role and observing what they do and how they do it.

Consider a global pharmaceutical company that needed to build a pipeline of general managers for increasingly complex roles. It first created a custom GM Success Profile defining the competencies and pivotal leadership moments critical to the role, then assessed candidates through career interviews, 360° feedback, Hogan assessments, and day-in-the-life simulations. 

The results gave the company clearer insight into leaders’ strengths and development needs and informed targeted coaching and workshops. Of the candidates, 43% were subsequently promoted into GM or senior leadership roles.

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Once an organization has considered how AI may transform its business, it can use this same approach to define the leaders it will need and assess candidates accordingly.

Preparing for the Organization You’re Becoming

We’re entering a business landscape that will not look like the one that came before. As AI reshapes how work gets done, organizations will need to rethink the skills they value and how they identify and develop their next leaders.

The organizations that win the next decade won’t be the ones with the strongest performers today. They’ll be the ones who spotted potential early and developed leaders for a company that doesn’t exist yet. Everyone else will continue promoting yesterday’s stars into tomorrow’s roles — and keep wondering why their best people stall.

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Tags: AICareer GrowthExpert VoicesLeadershipTechnology
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Lynn Collins

Lynn Collins

Lynn Gracin Collins is Co-Head of Global Talent Insights & Assessment at BTS. A prominent leader in industrial-organizational psychology, she is renowned for her innovative contributions to talent management and leadership development over a distinguished 30+ year career. Lynn spearheads the strategic expansion of the North America assessment practice, blending rigorous scientific methods with innovative practical applications to drive organizational success. Her leadership is characterized by a commitment to pioneering new science-based technologies and methodologies that set new standards in the industry. Lynn’s dedication to innovation and rigor has driven notable improvements across the talent lifecycle, including selection, high-potential identification, development, succession planning, and readiness at various major corporations. Her effective, innovative, and practical approaches have earned her recognition and awards from prestigious organizations such as IPAAC and Brandon Hall, underscoring her expertise in talent management. Her contributions to the industry are extensive, with over 40 presentations at key conferences like SIOP and the National Academy of Sciences. Lynn has also authored influential chapters and articles, contributing significant insights to the field through her published works.

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