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

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Excerpt:
In the second of a two part examination from Salesforce, Vala Afshar, Henry King, and Dr David Bray share why autonomy does not replace the importance of relationships - far from it. But this has design and process implications that are still emerging...

As we saw in the first part of this article, the autonomous future upon which we are embarked is not just more intelligent, it is more relationally demanding.

This should not come as a complete surprise. Leaders have been saying for years that relationships are among the most important things in business. Some have gone further and suggested that they are all that ultimately exists in business. Outside management thinking, it is well-established through highly credible research, for example the Harvard Study of Adult Development, one of the world’s longest studies of adult life, that the quality of our relationships is one of the strongest predictors of long-term health, resilience and happiness. 

We say these things because we know, at some level, that they are true. Yet our institutions remain oddly under-developed when it comes to treating relationships as something worthy of serious design. We still tend to assume that if the structure is right, if the incentives are right, if the process is right, then the relationships will somehow look after themselves. At best we ask managers to ‘build good relationships’, as though this were a matter of personal goodwill rather than a meaningful organizational capability.

That is no longer sufficient. If relationships are becoming more central to business performance, then we need to become more intentional about how they are shaped, supported and assessed. 

Mind the gap

We already know how to design a great many things. We design products, services, experiences, interfaces, workflows and operating models. We talk confidently about design thinking, service design, customer journeys and user experience. But rarely do we stop and ask a more foundational question. What kind of relationship are all of these things intended to create? Why do we care about a better interface, a smoother service interaction or a more coherent journey? We care because each of these affects the quality of the relationship between the parties involved. Yet the relationship itself is seldom treated as the primary object of design.

That is the gap that needs urgent attention. Many business disciplines influence relationships, of course. Organizational design, customer experience, leadership development, employee engagement, partnership management and service design all shape the conditions under which people and institutions relate. 

But few of them begin with relationship quality itself as the thing to be designed. Few ask, directly and systematically, what a good relationship between two or more parties should actually look like, what qualities it should possess, what conditions support it, what behaviors damage it, how it should evolve over time, and how one might know whether it is healthy, productive and mutually beneficial.

This matters all the more because not all relationships are equal. Some create friction, distortion, delay and mistrust. Others generate candor, reciprocity, adaptability and coordinated action. Some relationships elevate the capacities of those within them. Others diminish them. The same is already becoming true of relationships between humans and AI. A poorly-designed human-AI relationship can produce overdependence, confusion, and even disengagement. A better one can produce leverage, insight, greater consistency, improved judgment and a more effective division of labor. What we call ‘chemistry’ is not mystical. It is a name we give to a quality of fit and mutual responsiveness that has real consequences for what people or systems can do together.

Seen in that light, ‘good chemistry’ is not a metaphorical flourish; it is a practical condition. It describes a form of relationship in which the parties involved are able to interact in ways that are mutually intelligible, productive, adaptive and beneficial. It suggests that the quality of the connection matters as much as the fact of connection itself. Businesses have spent decades investing in connectivity, integration and communication, and that work remains important. But connection alone is not enough. The question is whether the resulting relationships support trust, learning, challenge, repair, co-ordination and shared success, or whether they merely increase traffic without improving the quality of interaction.

For this reason, relationship design must become a serious strategic capability, a disciplined effort to think intentionally about the kinds of relationships a business requires in order to succeed, the qualities those relationships must have, the conditions under which they flourish, and the ways in which they can be fostered, repaired and measured over time. That applies to relationships between businesses and customers, between leaders and teams, between functions that have historically operated in silos, between firms and their partners, and increasingly between humans and AI systems that are becoming collaborators in daily work.

Journey 

There is no finished guidebook for this yet. The practice of relationship design is still emerging, and it will need contribution from many fields and many practitioners. We know how to talk about automation, augmentation, orchestration and productivity. We know how to talk about models, agents and digital labor. We do not yet talk well enough about the design of the relationships on which all of these depend.

The irony is that, in a period often described in terms of machines replacing humans, the thing that may rise most sharply in importance is the quality of relationships. Not because technology fails to advance, but because it advances so deeply into the operating life of the business that the old fiction of the self-contained individual or self-contained function becomes harder to sustain. As autonomy grows, successful businesses will not be those that simply accumulate the most AI. They will be those that understand what autonomy actually demands. They will recognize that autonomous systems, autonomous products and autonomous organizations do not float above relationships. They depend upon richer, faster, more intelligent and more intentional forms of relationship than the industrial firm ever needed to contemplate.

That is the argument of our latest book, due to be published in early 2027, Good Chemistry. The future is autonomous, but autonomy does not reduce the importance of relationships. It amplifies it. Businesses that want to succeed in this new era will need to move beyond the assumption that relationships are cultural residue or personal preference, and begin to treat them as a matter of design, capability and performance. In a world of digital labor, distributed intelligence and increasingly autonomous systems, good chemistry will not be a luxury or an afterthought. It will be one of the central conditions of business success.

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