In our current educational landscape, a critical debate exists between the dominance of exam-focused learning and real-world, open-ended learning. The former, with its emphasis on standardized tests and measurable outputs, has long been the norm. However, real-world success—especially in complex social domains like entrepreneurship—often doesn’t align with the structured knowledge of textbooks or exams. Instead, it is shaped by the complex, dynamic interplay of individual expertise, institutional support, tools, and cultural ecosystems.
From Individual Intelligence to Distributed Expertise
One of the central arguments in understanding success, particularly in domains such as entrepreneurship, is that expertise is not solely a product of individual intelligence or skill. As Edwards (2010) points out, expertise in complex social domains is often distributed/ thus relational. It is not necessary for an entrepreneur to master every discipline—finance, law, programming, or marketing. What matters more is the ability to tap into a network of specialized individuals, tools, and institutions that can contribute the needed expertise.
For example, a successful entrepreneur may not need to know every detail of programming, but they need to know how to collaborate with someone who does. The key is recognizing that expertise is embedded in a larger ecosystem—distributed across professionals like lawyers and engineers, institutions like law enforcement and venture capital firms, and tools like software and technology. This distributed model challenges the traditional view that individual expertise alone can lead to success.
Consider the case of entrepreneurs like those behind Facebook. Sean Parker and Peter Thiel were pivotal mentors and collaborators to Mark Zuckerberg, even though they weren’t directly involved in programming or developing the Facebook platform. Zuckerberg’s success wasn’t because he was a lone genius; it was because he found himself in the right place (Harvard), with the right people (Parker and Thiel), and the right access to resources (e.g., Y Combinator).
The Role of Cumulative Cultural Evolution
The term Cumulative Cultural Evolution (CCE) sheds light on how cultures, organizations, and individuals evolve over time, adapting and improving through incremental changes. It is a form of social learning where successful modifications—be they in technology, behavior, or practices—are accumulated and refined over time. CCE allows societies to make adaptive changes, developing complex behaviors that go beyond individual cognitive abilities.
This idea has profound implications for learning and expertise. Educational models focused solely on exams and individual achievements do not capture the process by which cultures and societies develop expertise. Instead of isolated learning, real-world success is shaped by the ratchet-like effect of CCE. People, tools, and knowledge accumulate in ways that amplify human capacity beyond what any one person could achieve alone.
Take the example of an entrepreneur operating in a competitive market. The entrepreneur doesn’t need to understand every nuance of law, accounting, or technology. If they can successfully tap into the broader network of experts, institutions, and cultural capital (like access to funding or influential mentors), they can make decisions that leverage collective intelligence.
Beyond Cognitive Limitations: The Role of Power and Resources
The power of cumulative culture lies in its ability to enable individuals—especially those with access to key resources like wealth or institutional power—to transcend the cognitive limitations of any single individual. This is evident when we consider figures like Elon Musk or Vladimir Putin, whose success is inextricably linked to their ability to harness the collective intelligence of many individuals, tools, and institutions. Musk, for instance, has built his empire not just through his own expertise, but through aligning himself with the best minds in various fields (engineering, design, energy, etc.), along with having access to vast financial resources and technological platforms.
In essence, those with money, power, or institutional access can leverage cumulative culture to extend their reach far beyond their individual cognitive capacities. Musk’s success with companies like Tesla and SpaceX would be unimaginable without the contributions of engineers, investors, and a wide range of technologies. Similarly, Putin’s power is not just a reflection of his individual intelligence but of his ability to control and navigate complex institutional and cultural networks across Russia and beyond.
Implications for Education and Learning
The traditional educational model, which prizes individual achievement and focuses on exam results, fails to reflect the reality of success in the modern world. In an age where expertise is distributed and success often depends on networking, collaboration, and institutional leverage, education must evolve. Learning needs to become more holistic, emphasizing not just knowledge acquisition, but the development of skills that allow individuals to tap into and navigate complex networks—be it through mentorship, institutional support, or collaborative problem-solving.
In practical terms, this means creating learning environments that go beyond exams to foster collaboration, creativity, and real-world problem-solving. Educational systems should not only prepare students to pass tests but to become skilled at engaging with the social, institutional, and technological ecosystems in which expertise is distributed. This requires rethinking what constitutes expertise and recognizing the power of cumulative cultural evolution in shaping real-world outcomes.
Conclusion
The future of learning and success will not be about individual intelligence alone but about our ability to leverage networks, tools, and institutions in a world where expertise is distributed and cumulative cultural evolution drives progress. Success in entrepreneurship, and in many other complex domains, will increasingly depend on the ability to navigate, contribute to, and benefit from the evolving cultural ecosystem—and that requires a shift away from exam-focused learning toward a more open-ended, collaborative, and networked model of education.