Yet one thing appears reasonably certain: AI will accelerate the importance of partnerships and collaborative solutions.

This is not simply because AI is a new technology. More importantly, it is because AI further increases the pace of change. Technological development is already moving faster than many organizations are able to absorb. With AI, this challenge becomes even more pronounced. New tools, platforms, and applications are being developed continuously. Competencies that were rare yesterday may become standardized tomorrow. Business opportunities that once seemed distant may suddenly become practically feasible. At the same time, established competitive advantages may erode more quickly than before.

In such a situation, it becomes less realistic for individual companies to develop, own, and control all relevant competencies themselves. It is simply too demanding, too costly, and too slow. Companies will increasingly need to connect with competencies, technologies, and capabilities that exist outside their own organizations. They will need to collaborate with technology communities, suppliers, customers, research institutions, startups, platform actors, and even competitors. Not because collaboration is pleasant, but because it is becoming strategically necessary.

Partnerships can offer something fundamentally different from loose market relationships. When you buy a product or service, you gain access to what is available in the market. When you succeed in building a partnership, you may gain privileged access to others’ competencies and capabilities. You gain the opportunity to learn together, develop together, and adapt solutions together. This can provide insight, speed, and flexibility that cannot be acquired in the same way through ordinary transactions.

It is precisely this privileged access that makes partnerships strategically interesting. In an AI-driven economy, many of the most important resources will not be fully defined products, but competencies in development: data literacy, technological insight, domain expertise, organizational capability, implementation capacity, and understanding of emerging user needs. Such resources are often distributed across multiple actors. Rarely does a single company possess the full picture on its own.

This is why the ability to identify, establish, and develop strong partnerships will become increasingly important. Companies that can quickly connect with relevant environments gain an advantage. They do not need to build everything from scratch. They can leverage existing technologies, platforms, and competence environments. They can test faster, learn faster, and adjust course faster. In a time of high uncertainty, this may be at least as important as having a fully developed strategy.

And the uncertainty does not concern technology alone. It also concerns which competencies companies will need in the future. AI may alter the value of different types of knowledge and work. Some tasks will be automated. Others will become more valuable because they combine human judgment with technological capacity. New roles will emerge, and old roles will change. As a result, it becomes more difficult to determine which competencies should be built internally, which should be bought, and which should be accessed through collaboration.

In this context, partnerships become a way of managing uncertainty. Through collaboration, companies can access competencies without having to fully own them. They can explore new opportunities without carrying the entire risk alone. They can learn about technologies, markets, and business models before they know exactly where developments will lead. Partnerships thus become not merely a tool for efficiency, but a tool for strategic learning.

But there is one important catch: partnerships are demanding. Many fail. Good intentions, an exciting opportunity, or a signed agreement are not enough. Partnerships require the ability to manage differing objectives, cultures, time horizons, and risk appetites. They require trust, but also structure. They require flexibility, but also clarity. They require the ability to share knowledge, but also the ability to protect one’s own interests.

It is therefore not surprising that many partnerships fail to deliver on expectations. A commonly cited estimate is that around 60 percent do not succeed. This does not mean that partnerships are a bad idea. It means that partnerships are a demanding organizational discipline. And like other demanding disciplines, it must be learned.

Research and practical experience point in the same direction: those who succeed best with partnerships are those who already have prior partnership experience. Even better results are achieved by those who not only have experience, but who systematically build competence in how partnerships should be established, governed, and developed. They learn from previous collaborations. They develop routines, roles, and processes. They become better at selecting the right partners, defining the right objectives, clarifying expectations, and handling conflicts before they destroy value in the collaboration.

This makes partnership competence something more than an ordinary skill. It is a meta-competence. It is a competence that provides access to other competencies. A company that excels at partnerships becomes better able to bring in technology, knowledge, capacity, and innovation capability from its surroundings. It becomes better at learning beyond its own boundaries. It becomes better at combining its own resources with those of others. And it becomes better at moving quickly when the environment changes.

• Share on Facebook
• Share on Twitter
• Share on LinkedIn
• Share by e-mail