Why the power of relationships still matters in the AI era (1/2)

We are in the early stages of AI transformation with businesses embracing digital labor and AI-first strategies. Products are becoming more intelligent, more responsive and more capable of acting in the world rather than simply waiting to be used. Factories are becoming more self-monitoring and adaptive. Software development is becoming more agentic. 

In one domain after another, AI is moving from the margins of the enterprise toward its operational core. It is taking on more of the business functions that organizations once depended upon humans alone to perform. The future is autonomous.

The evidence is clear. According to Informatica’s 2026 survey of 600 Chief Data Officers,  AI adoption has reached 69% of businesses with revenues of $500 million +, up from 48% in 2025 and 45% in 2024, with 47% adopting agentic AI. The 2026 State of Sales Report from Salesforce finds that nine out of 10 sales teams use agentic AI now or expect to within the next two years, and 94% of sales leaders with agents say agents themselves are critical for meeting business demands. And according to the 2026 Connectivity Benchmark Report by Mulesoft, organizations are rapidly accelerating their adoption of AI agents, with the current average utilization standing at 12 agents per organization. This rate is projected to increase by 67% over the next two years, reaching an average of 20 AI agents.  

Autonomy + relationships

This shift matters for many reasons, but one consequence has not yet been fully appreciated. As businesses, products and modes of production become more autonomous, relationships will matter more, not less. The more autonomous a system becomes, the more aware of its environment it must become, the more responsive it must be to changing conditions, and the more capable it must be of meaningful communication and coordinated action with the people, systems and institutions around it.

This is true of autonomous vehicles, which can only succeed by being deeply aware of roads, traffic, weather, regulations, pedestrians and the probable behavior of other actors in the environment. It is true of advanced factories, which must continuously sense and respond to changes in equipment, energy, logistics, materials, labor availability and customer demand. It will be equally true of the autonomous business, which will increasingly depend on the quality of its interactions not only with its employees, customers and partners but with digital systems, internal agents, suppliers, regulators and a broader ecosystem of machine and human participants. Autonomy will not sideline nor negate the power of relationships. Instead, we must become more attuned to them. Relationships will, if anything, become even more important in this new age. 

To be clear, we mean the importance of relationships, not of individuals. This distinction matters because it cuts against a deep habit in modern business thinking. We are still attached to the idea of the individual as the natural unit of performance. We focus on individual competence, individual traits, individual accountability and individual achievement. We celebrate grit, confidence, determination, decisiveness, visibility, enthusiasm and executive presence. We design roles for individuals, career ladders for individuals, incentive systems for individuals, performance reviews for individuals. Even when we talk about culture, teamwork and collaboration, we tend to revert very quickly to the individual as the underlying bearer of success or failure. 

But...

Yet experience keeps telling us that this picture is too simplistic. Put a person in one environment and they become thoughtful, generous, energetic and inventive. Put the same person in another and they withdraw, become defensive, disengage or quietly sabotage what is around them. Place someone in a context of trust, support and mutual clarity and their abilities tend to rise. Place them in a context of rivalry, opacity, low trust or poor leadership and those same abilities contract. The individual matters, of course, but the quality of performance is never simply contained within the individual. It emerges from the relationship between the person and the conditions and culture in which they operate, from the relationships they have with those around them. Performance is not just personal. It is, in fact, relational. 

This was true before AI, but AI will make it impossible to ignore. As digital intelligence takes on a greater operational role inside the business, the quality of interaction between humans and machines, between teams and agents, and eventually between agents themselves, becomes central to how well the organization performs. The question is no longer simply whether a person is capable or whether a model is powerful. 

The question becomes whether the relationship between human and AI is effective. Is trust calibrated appropriately or not? Do people know when to rely on the system and when to challenge it? Is the system legible enough that people can work with it intelligently rather than either resisting it or surrendering too much authority to it? Are responsibilities and accountabilities clear enough to support effective action, while flexible enough to allow continuous recalibration as the technology changes? Can humans learn from AI without becoming passive, and can systems benefit from human judgment without merely freezing yesterday’s assumptions into code?

These questions are central to the success or failure of the autonomous enterprise, because the transition to autonomy is both a technical challenge and a relational one. Existing firms, especially those not yet digital-first in any deep sense, will not simply install autonomy as though it were an upgrade to a software package. They will have to live through a prolonged re-distribution of work between humans and digital labor. Roles will shift, then shift again. Resources will be re-allocated. Budgets will be re-written. Skills will need to be renewed. Some tasks will be automated, some augmented, some re-defined and some removed altogether. Hierarchies that once looked clear will become uncertain. The location of judgment will move. The meaning of leadership itself will begin to change as leaders are required to operate in environments where intelligence is more distributed, where real-time understanding becomes more important, and where the ability to orchestrate the conditions of success matters at least as much as direct control.

Under these conditions, the quality of relationships becomes even more important than it was before, because autonomy requires richer forms of connection and because the journey toward that state is itself destabilizing. Companies will need strong human relationships in order to weather the ambiguity and friction of change. They will need strong human-AI relationships in order to ensure that digital labor becomes a source of leverage rather than confusion, passivity or mistrust. They will also need to think far more seriously about how relationships between systems and agents are structured, governed and monitored. 

In part two of this article, we'll dive deeper into the wider implications of our autonomous futures...