Why Managers Remain Essential Amid AI Adoption

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AI adoption is accelerating across industries, enabling organizations to streamline operations, optimize workflows, and automate routine tasks. As AI transforms day-to-day work, some business leaders are questioning whether managers are still needed in today’s workplace or if AI can handle management responsibilities faster and more effectively. 

Despite AI and other technological advancements, the uniquely human abilities to understand context, inspire growth, and connect people with the right opportunities are critical to business agility. The most successful organizations in the AI-driven world of work won’t eliminate managers, but rather empower them to do what AI can’t — match potential with purpose.

Managers as talent architects

Traditionally, management has been viewed as a cost center, focused on oversight and accountability; some headlines suggest manager roles may see a steep decline in the coming years. But new research suggests that effective management goes far beyond operational support, with managers driving a powerful growth engine.

A working paper from the University of Chicago’s Becker Friedman Institute for Economics tracked the outcomes of thousands of workers over a 10-year period. The study focused on employees who transitioned from reporting to low-performing managers to high-performing ones, ranked in the top quartile of effectiveness.

The research found that workers with high-performing managers were 40% more likely to make lateral job moves internally. Lateral shifts open up critical pathways to skill development, internal visibility, and long-term career growth. For example, an engineer moving into a product operations role may acquire cross-functional skills that later position them well for leadership opportunities.

In addition to increased mobility, the study also found that employees under high-performing managers experienced a 13% increase in salary over time. These gains weren’t the result of micromanagement, increased performance pressure, or incentive structures. Rather, they often stemmed from one powerful managerial behavior — strategic talent matching. Effective managers see beyond simply filling roles and act as talent architects. They look deeper than job descriptions to uncover hidden strengths and create opportunities that may otherwise go unnoticed.

Why AI can’t replace human insight

AI is increasingly effective at parsing data and surfacing insights. AI tools can identify skill gaps in a team, match resumes to job descriptions, and recommend relevant training modules. But AI still falls short in areas that require emotional intelligence and human nuance.

For example, consider a team member whose performance metrics are strong, but who has quietly disengaged from team discussions. An AI model may see continued task completion and steady KPIs, flagging no concern. But a human manager may pick up on subtle cues — reduced participation in meetings, a lack of enthusiasm in cross-functional collaborations, or a drop in initiative. These are signals that something more significant may be at play, such as burnout, misalignment, or unspoken dissatisfaction.

Human managers are uniquely equipped to navigate this complexity. They can ask open-ended questions in one-on-ones, probe for context, and create safe spaces for employees to share their experiences. These conversations are where future moves are shaped and potential is unlocked.

The same University of Chicago study found that high-performing managers spent 19% more time in one-on-one meetings compared to their peers. One-on-one meetings give managers the opportunity to listen, answer questions, and build rapport with direct reports. During these conversations, managers can pick up on important, unstructured cues that inform smarter, more empathetic decision-making.

Consider a scenario in which a high-performing data analyst hints at wanting more client-facing experience. A manager attuned to this cue might recommend a rotational program, connect the worker with a mentor in a customer success role, or assign the individual to a strategic initiative involving direct stakeholder engagement.

In the future, these opportunities may lead to a lateral move to an entirely customer-facing role, which can increase engagement and career growth opportunities for the worker. These internal transitions often happen because of uniquely human insight that would be overlooked by AI tools. 

How the manager experience shapes the employee experience

The influence of managers doesn’t stop at productivity, but also significantly shapes how employees perceive their work, their teams, and their future.

A large-scale analysis from Glassdoor, based on over two million employee reviews, found that employee satisfaction is more closely tied to how managers feel than how senior leaders feel. The data shows that in organizations where executives had strong approval ratings but middle managers reported low satisfaction, employee sentiment also tended to be low. In contrast, when managers were highly engaged and satisfied with their roles, employee ratings across key cultural measures improved substantially — even when senior ratings were average or below.

Work-life balance, inclusion, and values alignment all improved when managers were satisfied in their roles. This suggests that managers’ experiences and energy ripple out to their teams. When managers feel supported, trusted, and empowered, their confidence translates into healthier, more connected team environments.

Leadership is being redefined

In an AI-enhanced workplace, traditional managerial tasks such as assigning work, tracking performance, and overseeing timelines can increasingly be automated or augmented. But today’s most effective managers aren’t defined by how many tasks they oversee. Instead, more emphasis is being placed on how skillfully managers allocate talent and foster adaptability. 

Strong managers are connectors, coaches, and change-enablers, often recognizing when a team member is ready to grow or transition, even before the worker reaches this conclusion themselves. They identify which roles are likely to become obsolete and which emerging opportunities need a fresh infusion of talent.

For example, a forward-thinking marketing manager may recognize that generative AI is beginning to reshape content production. Rather than doubling down on traditional copywriting, the manager may encourage a creative team member to develop prompt engineering skills, creating a new hybrid role that combines human creativity with AI efficiency. This level of foresight and fluidity is what distinguishes great managers in the AI era. 

Four ways to equip managers for an AI-driven future

To maximize the value of managers in an AI-driven workplace, organizations should take intentional steps to redefine support and success. That means investing in systems that make space for strategic management, not just task supervision.

Consider the following tips.  

1. Invest in AI fluency for managers 

Managers don’t need to become technical experts, but they do need a working understanding of AI capabilities and limitations. This includes training on how to use AI to improve decision-making, identify insights, and collaborate with hybrid teams. For example, schedule a training session to help managers understand how to interpret AI-generated performance review summaries and combine feedback with their own insight. Or train managers on how to effectively evaluate AI-influenced hiring recommendations to ensure they include their own human expertise and perspective in an increasingly data-saturated environment.

2. Redefine success metrics

When measuring manager effectiveness, move beyond simply output-focused key performance indicators (KPIs). Success for modern managers should also be measured based on their ability to develop talent, foster team resilience, and build inclusive cultures. These are the markers of long-term organizational adaptability.

Beyond task completion, or budget adherence, consider evaluating managers on metrics such as:

• Internal mobility rates (the percentage of team members who take on new roles or responsibilities within a year)
• Skill development rates 
• Retention of high-potential employees
• Engagement and satisfaction scores from employee surveys
• Cross-functional project participation or collaboration frequency
• Time to productivity for new or transitioning team members

3. Encourage proactive talent conversations 

Equip managers with tools and frameworks to identify hidden skills and guide internal mobility. Instead of approaching career development as an annual conversation, ongoing discussions can enable managers to more effectively support career advancement. Proactive talent development conversations could take the form of employee development plans, cocreated during one-on-ones, peer mentorship initiatives, or skill-mapping workshops, that highlight growth paths that may not have previously been considered.

4. Reinforce the human connection

Managers need time, space, and incentives to focus on building genuine team relationships and human connections. As AI relieves managers of many administrative burdens, this frees up time for more structured opportunities for feedback, recognition, and coaching moments. Setting aside time for rituals like weekly check-ins, recognition circles, or team retrospectives can deepen trust and psychological safety, even in lean teams scaling their businesses at a fast pace.

Actions to support growth at every level

A resilient, AI-enabled workplace depends on more than just updated systems or smarter tools. It calls for  intentional, people-centered practices at every level of the organization. Preparing for the future of work requires targeted efforts from managers, senior leaders, and individual contributors alike — each with a unique role to play in shaping a thriving, adaptive workplace.

For senior leaders 

Senior leaders set the tone and structure that determine how management is valued, supported, and measured across the organization. To foster an environment in which workers thrive, senior leaders can consider taking the following steps: 

• Build systems that celebrate skill-building internal mobility and cross-functional growth, not simply vertical promotions
• Incentivize and recognize managers who develop talent and champion hidden potential
• Listen and act on manager feedback, ensuring managers have the tools, time, and support to lead in a rapidly changing environment

For managers 

Managers are closest to day-to-day team dynamics and play a pivotal role in shaping both culture and capability. To lead effectively in an AI-enhanced environment, managers should focus on the following strategic actions:

• Continually take stock of your team’s current capabilities and potential to determine who’s ready for a stretch assignment, lateral move, or shift in focus
• Use AI to surface performance trends or skills gaps, but rely on human judgment and insight to interpret and act on AI-powered recommendations 
• Schedule one meaningful development-focused one-on-one each week and use the time to explore career goals and challenges, not simply outputs

For individual contributors 

Individual contributors have more agency than ever to shape their career paths, especially in environments that reward initiative and adaptability. To make the most of emerging opportunities, consider the following: 

• Reflect on areas in which you’re underutilized or eager to grow, then bring ideas to your next one-on-one with your manager
• Ask your manager how your role could evolve or flex to better match your strengths or passions
• Look for ways to align your interests with team or business needs, then propose a small project or pilot that enables you to explore new skills while contributing value

Engage freelancers on Upwork to free up managers’ time 

Managers play a critical role in shaping how work gets done, talent is developed, and careers advance within an organization. Effective managers identify strengths, unlock ambition, and pave the way for meaningful career growth. As AI transforms how work gets done, the role of the manager becomes even more vital — not less.

With the right tools, clear metrics, and organizational support, today’s managers can evolve into the architects of agile, future-ready teams. Their ability to match talent to opportunities will help support individual career trajectories and organizational resilience.

Consider engaging freelancers to help managers save time and have more bandwidth to focus on connecting with team members. Freelancers bring deep expertise, fresh perspective, and just-in-time support that can complement internal teams and free up hours for managers to focus on connecting with team members.

On Upwork, you can search for freelancers with more than 10,000 skills across a range of categories, including AI engineering, UX design, and data analytics. Create an account or log in to your existing Upwork account to get started. Upgrade to a Business Plus plan to reach the top 1% of freelancers on Upwork across multiple categories and gain access to Uma Recruiter, your always-on hiring agent. 

If you’re a skilled freelancer looking to grow your career, search for jobs on Upwork today.