Evolution is one of the best-supported ideas in science. The question is not whether evolution happens, but whether the familiar story of life as a ruthless contest among selfish genes is enough.

Over the past fifty years, discoveries in palaeontology, genetics, microbiology, and ecology have revealed a richer picture. Life does not evolve only through competition; it is also shaped by cooperation, partnership, environmental influence, and integration.

This matters far beyond biology. As humanity enters the age of artificial intelligence, the evolutionary story we carry shapes the future we imagine. If life is only a struggle for dominance, AI looks like a rival, perhaps even an existential threat. But if evolution also works through cooperation, integration, and symbiosis, another possibility opens: humans and intelligent machines may be able to co-evolve. We may be about to enter a golden age.

Beyond the Selfish Gene

What most people think of as Darwinism is in fact a subset: Neo-Darwinism. This concept arose in the first half of the last century, in a milieu of reductionism, materialism, and competition. It presents evolution as a process driven by random genetic variation and natural selection. In this system, genes change by chance; bodies, or phenotypes, express those genes; and the organisms best suited to their environment leave more descendants.

This is a powerful model, and it explains a great deal. But as a complete account of evolution it is too narrow. It leaves insufficient room for other forces that can organise, coordinate, and transform living systems.

The twentieth century often treated genes as the commanding centre of life. Richard Dawkins’ The Selfish Gene, published in 1976, gave this view its most public expression. Its central metaphor was simple and brilliant: organisms could be seen as vehicles built by genes to help those genes survive and replicate.

For many readers, including myself at the time, thisseemed blindingly obvious. It seemed to offer a clean, elegant explanation of life’s complexity. But metaphors can illuminate and distort at the same time. The selfish-gene idea made competition vivid, but it also encouraged a view of nature in which cooperation, relationship, environment, and consciousness were pushed to the margins.

The accumulation of evidence over the past 50 years has shown that view to be incomplete, and at times misleading.

A Personal Perspective

When I studied Vertebrate Evolution at Cambridge in the mid-1970s, I remember the subject feeling very different from the physical sciences. Physics and chemistry seemed to rest on repeatable experiments. Evolutionary palaeontology, by contrast, involved reconstructing vanished worlds from fragmentary evidence: bones, strata, fossils, and the stories we built around them.

That made the field intellectually exciting and creative, because it allowed for interpretation. The fossil record is real, but our reading of it is never free from assumptions.

When Dawkins published The Selfish Gene, I was initially an admirer. Like many others, I saw sociobiology as a thrilling leap forward. I even mistook it, at first, for something close to the evolutionary vision of Pierre Teilhard de Chardin, the French Jesuit thinker who saw evolution as moving toward greater complexity and consciousness.

Only later did I see the difference more clearly. Dawkins offered a gene-centred account of evolution grounded in material reductionism. Teilhard offered a vision of evolution as an unfolding movement toward integration, in which the process itself could act upon ideas as well as physical bodies. Teilhard represented this as a movement from the biosphere into the noosphere.

We do not have to accept every part of Teilhard’s vision to recognise that the gene-centred model is incomplete. The broader thrust of his thought—the movement toward greater integration—now looks less fanciful than it once did. Much of his writing in the 1950s anticipated the rise of the internet and of a planet-wide layer of transhuman intelligence.

The Fossil Record: Change Often Comes in Bursts

A simple version of Neo-Darwinism imagines evolution as slow, steady, and gradual: tiny changes accumulating through countless generations.

Sometimes this happens. But the fossil record also reveals long periods of stability interrupted by comparatively rapid change.

Stephen Jay Gould and Niles Eldredge called it “punctuated equilibrium”. Species often appear in the geological record, remain relatively stable for long periods, and then change more rapidly during shorter bursts of evolutionary transition.

This does not mean that Darwin was wrong. It means that evolution is not always the smooth, gradual process many people imagine. Stability can give way to rapid transition, often under environmental pressure, ecological opportunity, or wider shifts in living systems. Some innovations also arise through hybridisation or symbiosis, where separate elements combine to create something new.

The history of life looks less like a straight line and more like a tree shaped by sudden growth, pruning, branching, and transformation.

Beyond Competition

The phrase “survival of the fittest” is often misunderstood. It is commonly taken to mean that nature is simply a war of all against all, with the strongest defeating the weakest.

But “fitness” in evolutionary biology means reproductive success in a particular environment. Sometimes that success comes through competition. But often it comes through cooperation.

Once fitness is understood in that broader sense, the narrower story begins to open up.

Peter Kropotkin argued in Mutual Aid that cooperation was not a sentimental exception to evolution, but one of its central forces. Konstantin Mereschkowsky proposed that complex life arose not only through competition, but through symbiosis: different organisms joining together and becoming something new.

For much of the twentieth century, such ideas sat outside the mainstream. Today, they look increasingly important.

Epigenetics: Genes Are Not Simple Switches

Epigenetics has changed how we think about inheritance.

DNA is often described as a blueprint, but this is misleading. A better image might be a script, a library, or a musical score. The same genetic material can be “played” differently depending on context.

Epigenetics studies the chemical tags and regulatory processes that influence whether particular genes are switched on or off. Diet, stress, toxins, behaviour, and environment can all affect gene expression. In some cases, these effects may even influence later generations.

This does not mean Lamarck was simply right in the old sense that a giraffe stretches its neck and passes on a longer neck to its offspring. But it does mean he was not entirely foolish to suspect that life experience and heredity might be connected.

The boundary between organism and environment is therefore more porous than classical theory allowed. Even the separation of species and individuals has begun to look less absolute.

Symbiosis: Life through Partnership

One of the most striking examples of cooperation is found inside our own cells.

Mitochondria, the tiny structures that help power our bodies, were once free-living bacteria. At some point in deep evolutionary time, they entered into partnership with other cells. That partnership became so successful that it helped make complex life possible.

This is the theory of endosymbiosis, developed most famously by Lynn Margulis. It shows that evolution is not only about one lineage defeating another. Often life advances in jumps when formerly separate organisms merge, collaborate, and become inseparable.

The same principle applies at larger scales. Human beings are not solitary biological units. We are ecosystems. Our bodies contain trillions of microbes that help digest food, regulate immunity, and influence health. The “individual” is therefore not as individual as it appears.

We are, in a literal biological sense, communities.

Cooperation as an Evolutionary Force

Cooperation appears throughout life.

Bacteria communicate chemically through quorum sensing. Fungi form underground networks with plants. Social insects build colonies that behave almost like superorganisms. Wolves hunt in packs. Human beings survive through language, culture, care, teaching, and shared memory.

Competition matters. But cooperation matters just as much. Often, the most successful systems are not the most selfish, but the most intelligently integrated.

This is why the selfish-gene metaphor now appears limited, even where it remains useful.

Evolution is therefore not merely a story of conflict. It is also a story of relationship.

Why Old Ideas Persist

Scientific ideas do not disappear the moment new evidence appears. They become embedded in textbooks, careers, institutions, public reputations, and cultural worldviews.

The gene-centred view of evolution became influential not only because it explained important facts, but because it offered a simple and compelling story. It fitted comfortably with a wider modern habit of seeing reality as mechanical, competitive, and material.

But good science must remain open to revision. When new evidence expands the picture, the theory must expand too.

This is the promise of the Extended Evolutionary Synthesis. It does not throw Darwin away. Instead, it places natural selection within a wider framework that includes development, environment, epigenetics, niche construction, cooperation, culture, and symbiosis.

In other words, the question is not whether Darwin mattered. Of course he did. The question is whether Darwinism, in its narrowest twentieth-century form, is enough.

Increasingly, it is not.

Why This Matters for Artificial Intelligence

This wider view matters now because artificial intelligence forces us to ask what kind of evolutionary story we believe we are living inside.

If life is fundamentally a competition among self-interested replicators, then AI looks like the next rival: faster, more connected, more rational, and perhaps ultimately dominant.

But if evolution also works through cooperation and symbiosis, then a different future becomes imaginable.

Human beings have always evolved with tools. Fire, language, writing, agriculture, cities, printing, electricity, and the internet all changed what we are. They did not merely extend human power; they altered human consciousness.

AI may be another such threshold.

The question is whether we approach it as enemy, servant, or partner. A purely competitive model pushes us toward fear: either we control the machine, or the machine controls us. A symbiotic model asks something deeper: how might human intelligence and artificial intelligence develop together in ways that enlarge both?

This is not a naïve optimism. AI carries real risks. Power, surveillance, inequality, dependency, and misuse are serious dangers. But fear alone is not a sufficient philosophy. We need a richer imagination.

Biology suggests that the future may not belong simply to the strongest competitor. It may belong to the most creative partnerships.

Toward a Larger Understanding of Life

The old image of the isolated individual is breaking down. Biology shows us organisms shaped by environments, genes regulated by experience, bodies composed of microbial partnerships, and species embedded in ecosystems.

We are not sealed egos moving through a dead mechanical universe. We are relational beings, formed by ancestry, community, ecology, technology, and consciousness.

That insight changes how we think about AI. Rather than seeing artificial intelligence only as an alien competitor, we might understand it as part of a larger evolutionary process: the emergence of new forms of connection, memory, and mind.

This does not require every reader to accept a religious interpretation. But it does invite a larger question: what if evolution is not only the history of competition, but also the history of separated things learning to belong to one another?

Teilhard de Chardin imagined evolution moving toward an Omega Point: a final convergence of consciousness. Others may describe the same intuition in secular language, as the gradual integration of life, intelligence, and awareness.

For me, that ultimate unity of consciousness is what I call God.

Whatever language we use, the lesson is the same. The future of life may depend less on selfishness than on symbiosis; less on domination than on relationship; less on the isolated gene than on the creative whole.

References & Notes

1. La Mettrie, J. O. de (1747). L’Homme Machine (Man a Machine). A foundational text of mechanistic materialism arguing that human mental processes are entirely physical and mechanical.

2. Dawkins, R. (1976). The Selfish Gene. Oxford University Press. Formulated the gene-centred view of evolution and sociobiology.

3. Teilhard de Chardin, P. (1955). The Phenomenon of Man. Harper & Row. Proposed that evolution is an ascending process leading toward increasing complexity and consciousness.

4. Eldredge, N., & Gould, S. J. (1972). “Punctuated equilibria: an alternative to phyletic gradualism.” In T. J. M. Schopf (Ed.), Models in Paleobiology(pp. 82–115). Freeman, Cooper & Co.

5. McShea, D. W., & Simpson, C. (2011). “The drive toward complexity in evolution.” Evolutionary Biology, 38(1), 78–94.

6. Darwin, C. (1859). On the Origin of Species by Means of Natural Selection. John Murray.

7. Lamarck, J.-B. (1809). Philosophie Zoologique. Formulated an early theory of inheritance of acquired characteristics.

8. Kropotkin, P. (1902). Mutual Aid: A Factor of Evolution. Heinemann. Argued that mutual support and cooperation play a major role in evolutionary success.

9. Mereschkowsky, K. (1905). “Über Natur und Ursprung der Chromatophoren imPflanzenreiche.” Biologisches Centralblatt, 25, 593–604. An early formal hypothesis of symbiogenesis.

10. Jablonka, E., & Lamb, M. J. (2005). Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life. MIT Press.

11. Margulis, L. (1970). Origin of Eukaryotic Cells. Yale University Press. Developed the theory that eukaryotic organelles such as mitochondria and chloroplasts originated through bacterial endosymbiosis.

12. Zilber-Rosenberg, I., & Rosenberg, E. (2008). “Role of microorganisms in the evolution of animals and plants: the hologenome theory of evolution.” FEMS Microbiology Reviews, 32(5), 723–735.

13. Laland, K. N., Uller, T., Feldman, M. W., Sterelny, K., Müller, G. B., Moczek, A., Jablonka, E., & Wray, G. A. (2014). “Does evolutionary theory need a rethink? Yes, urgently.” Nature, 514(7521), 161–164.

14. Imanishi, K. (1941 / English translation 2002). The World of Living Things (Seibutsu no Sekai). Routledge. Introduced habitat segregation, or sumiwake, and a holistic view of ecological coexistence.

15. Teilhard de Chardin, P. (1964). The Future of Man. Harper & Row. Developed the concept of the Omega Point as a convergence of evolutionary and spiritual development.