“If you want to go fast, go alone. If you want to go far, go together.” This well-known proverb comes up frequently when championing the virtues of teamwork. However, in contemporary societies where—as numerous authors from David Riesman to Ulrich Beck have highlighted— collective consciousness is steadily diminishing while individualism, consumerism, and a culture of personal success take precedence, not everyone is cut out for collaboration.
To find our way back to meaningful cooperation around a shared goal, there is no need to dive into sophisticated sociological or management theories. We need only look to nature and observe the group dynamics of social animals like lions, wolves, killer whales, or elephants when they act as a group. Better still, we can study the undisputed professors and virtuosos of collective work in the animal kingdom—creatures that outperform even humans in this arena: ants, termites, wasps, and bees.
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These tiny insects possess a form of collective or swarm intelligence that allows them to function, de facto, as one. Operating like the interconnected organs of a body, every individual in the colony understands its exact role and executes it with exemplary dedication, in perfect coordination with its peers. The result is extraordinary. An army of tireless workers, cooperating with the clockwork precision of a computer, can execute grand feats of engineering, massive population migrations, the gathering and storage of food for the entire community, and highly strategic defenses against external threats.
Science has been fascinated by this collective working capacity for more than a century. In his book The Perfect Swarm, Professor Len Fisher describes collective intelligence as a behavior that emerges from a group of social insects living in colonies, governed by simple rules and requiring zero supervision. For Fisher, swarm behavior transforms into genuine collective intelligence when a group uses it to solve a problem collectively that its members could never have resolved on their own.
Science has been fascinated by this collective working capacity for more than a century.
The entire system relies on simple rules and a decentralized collaborative structure, which allows individuals to assume their roles within the group without relying on a centralized chain of command. This coordinated, collaborative self-leadership requires a diverse mix of individual profiles and capabilities among its members. For honeybees, this diversity is built directly into their social structure, which is divided into three distinct roles: workers, drones, and queens.
When it comes to individual capabilities, various studies have concluded that bees compensate for their limited neural capacity with highly advanced sensory and cognitive skills. Until recently, these traits were believed to belong only to certain higher vertebrates like pigeons, dolphins, or primates. Skills such as sequential learning, object categorization, visual pattern recognition, concept formation, and a basic ability to count empower individual bees to perform diverse functions within the colony, allowing them to make their own choices with agility, independence, and sound judgment.
Some breakthroughs in Artificial Intelligence and robotics are drawing inspiration from bees and other forms of collective intelligence to create leaner, more agile computational solutions.
Thomas Dyer Seeley, a biology professor at Cornell University in the United States, has analyzed the organizational model of bees in depth. His research reveals that worker bees can perform up to 17 different tasks, which fall into four main categories: cell cleaning, brood rearing, food storage, and foraging. One of the most surprising findings of Seeley’s work is that labor specialization and task allocation within the hive are determined entirely by age. Basic housekeeping and cell cleaning are handled by the youngest workers—the “junior” profiles of the organization, between 0 and 5 days old. Meanwhile, sophisticated foraging duties are reserved for the most experienced individuals from 22 days onwards. In these roles, bees must identify flower species with high concentrations of pollen and nectar and memorize their exact locations using sensory cues like scent, color, and size.
Could this collective intelligence be applied to the corporate environment? The evidence certainly points in that direction. Modern business trends that champion team diversity and continuous learning through reskilling and upskilling align perfectly with this ethos of an efficient and capable hive mind.
Furthermore, implementing clear procedures, robust protocols, and objective-based work structures can bring corporate organizations much closer to the very system that yields such successful results for bees.
Technology is another tool that can help scale a hive’s operational system to a human enterprise. In fact, some breakthroughs in Artificial Intelligence and robotics are drawing inspiration from bees and other forms of collective intelligence to create leaner, more agile computational solutions.
Commitment is another key variable where bees hold an initial advantage. Their entire existence is dedicated to the survival of the hive, making generous collaboration and cooperation—even to the point of ultimate self-sacrifice—absolutely essential.
While matching such radical biological motivation is a tall order for any business, companies can easily forge an inspiring purpose that unites their workforce and gives meaning to their day-to-day work.
The search for this shared challenge holds the key to reawakening our latent gregarious instincts, teaching us to go further by weaving our talents together around a meaningful project and excellent teamwork.
Ramón Oliver is a journalist specialising in employment, economics and sustainability, topics he has covered for outlets such as El País, El Economista, OK Diario and Capital Humano. He currently contributes to Vozpópuli, La Vanguardia and Ethic Magazine, and is the editor of the specialist website MetaEmpleo.