There is a question that has already begun to emerge in conversations among the most advanced leadership teams in the world—and one that still does not have a universal answer: how do we make better decisions together when part of our team is no longer human?
This is not a futuristic question. It is today’s question.
McKinsey & Company published in February 2026 the second edition of its State of Organizations, based on a survey of more than 10,000 senior executives across 15 countries and 16 industries. One of its most revealing findings is that one in four leaders expects AI agents to act as autonomous members of the team in the near term—not just as tools, but as an active part of how work is organized and executed (McKinsey & Company, 2026).
This changes the core problem. It is no longer only about how AI helps each individual work better. It is about how the team, as a unit, integrates that intelligence without losing what makes it valuable as a human collective.
The concept that brings it all together: collective intelligence
Christoph Riedl, in Harvard Business Review, proposes a framework that helps us understand this challenge with much greater precision. His central point is that collaboration between humans and AI creates more value when it stops being viewed only in terms of automation or individual productivity and begins to focus on strengthening the organization’s collective intelligence. To achieve this, he highlights three particularly relevant capabilities: collective memory, shared attention, and joint reasoning (Riedl, 2024).
Collective intelligence is not the sum of the individual intelligences within a team. It is an emergent capability: it appears in the way the team processes information, contrasts perspectives, makes decisions, and learns from outcomes. And that capability can be amplified—or weakened—depending on how AI is incorporated into the team’s conversations, decisions, and workflows.
Here lies one of the most common mistakes. Many organizations are adopting AI to do faster what they were already doing, without stopping to assess whether what they were doing was still the right approach or whether it could be redesigned in a more intelligent way. McKinsey puts it clearly: technology alone does not create value. To capture it, organizations must redesign processes, rethink operating models, reimagine roles, and develop new capabilities in people. In the same vein, one executive quoted by McKinsey summarized the challenge this way: for every dollar invested in technology, five should be invested in people (McKinsey & Company, 2024).
What separates teams that capture value from those that don’t
The problem, then, is not access to technology. The problem is organizational readiness.
The State of Organizations 2026 shows that 86% of leaders believe their organizations are not prepared to adopt AI in day-to-day operations. And the report Superagency in the Workplace reinforces this idea from another angle: almost all companies are investing in AI, but only 1% believe they have achieved real maturity in its deployment. In other words, the gap is not between those who have AI and those who don’t; it is between those who are reorganizing how they work and those who are still using AI as an added layer on top of outdated models (McKinsey & Company, 2026; McKinsey & Company, 2025).
This is where the conversation stops being technological and becomes deeply human. As AI takes on more execution tasks, the competitive advantage shifts toward capabilities such as judgment, integration of perspectives, psychological safety, the quality of conversations, and the ability to make meaningful decisions—not faster, but better.
Inside-out leadership: the condition that makes it possible
One of the most interesting findings from McKinsey’s 2026 report does not point directly to organizational structure, but to the inner world of the leader. The study shows that more reflective leaders are significantly more likely to trust their organization’s ability to adapt quickly to change: 30% versus 18% among those who rarely reflect. This difference is not minor; it suggests that in highly complex environments, the quality of leadership also depends on the quality of the inner world from which that leadership is exercised (McKinsey & Company, 2026).
This perspective connects with what is now often called inside-out leadership: leadership that does not rely solely on tools, processes, or formal authority, but also on self-awareness, the ability to self-regulate, clarity of purpose, and presence in the conversations that matter most. As execution becomes increasingly automated, what differentiates a leader is not how much they control, but how they sustain judgment, context, and direction.
This directly connects with the deep work of team coaching: it not only improves visible processes but also the quality of presence with which leaders and teams enter critical conversations.
The ROI of team coaching: what the data says
In the two previous articles in this series (Silence in Your Team Is Not Synonymous with Efficiency: It’s a Warning Sign and What AI Can’t Do for Your Team—and What It Can), we explored why teams fail and what distinguishes those that transform from those that simply operate. The remaining question is the most executive one of all: is the investment worth it?
Available evidence suggests yes. A study cited by the International Coaching Federation found that 77% of participants attributed a significant or very significant business impact to coaching in at least one business metric, and another classic study reported an average return of 5.7 times the initial investment in executive coaching processes. Beyond the numbers, what matters is what those results explain: improvements in productivity, quality, satisfaction, and organizational effectiveness (Anderson, 2003; McGovern et al., 2001).
But for this conversation, there is an even more relevant insight. McKinsey has pointed out that team-centered transformations can generate up to a 30% improvement in efficiency when properly implemented. In addition, in another study, the firm indicates that organizations are 1.9 times more likely to achieve above-median financial performance when the leadership team shares a meaningful and truly aligned vision (McKinsey & Company, 2024; McKinsey & Company, 2024b).
This is no longer about the benefit of individuals improving in isolation. It is about the value of a team that learns to function as a system.
Transformation as a permanent condition
Perhaps the most demanding idea in the State of Organizations 2026 is also one of the most useful for any leadership committee: transformation can no longer be treated as a project with a beginning and an end. McKinsey argues that the most effective organizations must embrace it not as a future state, but as a permanent condition—in other words, not as an exceptional phase, but as a structural capability of the business (McKinsey & Company, 2026).
This changes the standard. It is no longer enough to have teams that can manage change when required. What is needed are teams that learn how to learn together, faster than their environment. Teams with enough trust to experiment, enough honesty to recognize what is not working, and enough cohesion to adjust course without fragmenting.
No AI tool produces that capability on its own. That capability is built—and it is built by deliberately working on how the team thinks, converses, decides, and learns collectively.
What team coaching makes possible at this moment
This is, ultimately, the synthesis of everything explored in this series: team coaching is not a soft intervention or a wellness add-on. It is the human infrastructure that determines whether an organization can extract real value from artificial intelligence, navigate complexity with sound judgment, and sustain high performance over time.
It works exactly where AI does not reach: in patterns of interaction, in the quality of conversations under pressure, in the implicit agreements that no one has questioned, in how conflict is processed, and in the collective ability to learn without assigning blame. When that foundation exists, AI stops being just a tool the team uses and begins to become an intelligence the team knows how to orchestrate.
At Euro Business Coach, we support precisely this inflection point: helping leaders, teams, and organizations integrate technology without losing cohesion, judgment, or humanity. We do this by combining executive and team coaching, change management, leadership development, organizational culture, and strategic alignment—so that AI does not operate in parallel to the team, but strengthens how the team converses, decides, learns, and executes. This is where collective intelligence stops being an interesting idea and becomes a real business capability.
The challenge, then, is not choosing between human intelligence and artificial intelligence. The challenge is building organizations capable of integrating the best of both. AI brings speed, scale, processing power, and assistance. Human teams bring judgment, context, meaning, ethics, inspiration, and direction. High-impact teams in this new era will not necessarily be the most technological, but those most capable of coordinating these two intelligences with maturity and purpose (Riedl, 2024; McKinsey & Company, 2024; McKinsey & Company, 2026).
Building that integration is, most likely, the most strategic work a leadership team can undertake today.
