Bowling Alone 2.0: will AI agents isolate us further or bring back connection?

About Robert Putnam, the mechanism behind evaporating social capital, and the question of who will still be able to bowl together.

About Robert Putnam, the mechanism behind evaporating social capital, and the question of who will still be able to bowl together.

In 2000, Harvard political scientist Robert Putnam published a book that would become one of the most influential sociological studies of recent decades: Bowling Alone: The Collapse and Revival of American Community. The title refers to an observation that at first glance seems trivial, but on closer inspection reveals something fundamental.

Putnam noticed something strange in the figures: Americans were bowling more than ever before. Bowling alleys were doing fine. But the number of bowling leagues, the weekly competitions where teams of colleagues, neighbours and friends played against each other, plummeted. So people were still doing the same activity, just not together, no longer connected, no longer with familiar faces at a fixed time.

And that turned out to be no isolated incident. Putnam found the same pattern everywhere he looked: church attendance declined, trade union membership plummeted, parent associations emptied out, service clubs like Rotary and the Lions aged, and even the number of card nights and dinners with neighbours steadily decreased. Across almost the entire spectrum of American associational life, he saw thirty to forty years of uninterrupted decline.

Social Capital: The Invisible Asset of a Society

Why is that bad? Surely people can decide for themselves whether they bowl competitively? Here Putnam introduces his core concept: social capital. By this, he means the network of relationships, shared norms, and mutual trust that allows a community to function.

The word "capital" is deliberately chosen. Like financial capital, it is an asset that helps you achieve things. Only this asset is not in a bank account, but among people. Communities with a lot of social capital are demonstrably healthier, safer, more prosperous, and more democratic. Not because the people there are better or kinder, but because trust lowers the transaction costs of living together. Where people trust each other, less control is needed, less legalisation, less distrust that makes everything sluggish. You lend your neighbour a ladder without a contract. You help a colleague without expecting something directly in return, because you know it will come back eventually.

Putnam made a distinction that later proved crucial. There is bonding capital: the close ties within your own circle, such as family, friends, and people who are similar to you. And there is bridging capital: the looser, weaker ties with people outside your bubble, such as the teammate from another neighbourhood or the club member with a different profession. It is precisely these weak ties that provide jobs, opportunities, and social mobility. We know this since sociologist Mark Granovetter’s famous research on "the strength of weak ties." Your new job rarely comes through your best friend; it comes through a vague acquaintance from another network.

How social capital arises, and why that is the problem

Putnam's most important insight is perhaps this: social capital is not built through grand gestures, but through repeated, casual, and semi-obligatory contact. The weekly competition night. The monthly meeting of the parents' association. Sunday church service. You came for the bowling, for the agenda, for the service. Trust was the byproduct.

That "semi-obligatory" is essential. You once chose the membership, but then you also came on evenings when you didn't feel like it. It is precisely there, in the repetition without direct cause, that relationships are formed that are robust enough to bear something. Nobody builds trust with one good conversation. Trust is a sediment of hundreds of small, insignificant encounters.

And that explains why the decline was so silent. Because who or what did Putnam identify as the culprit? He named several factors: time pressure, dual-income households, suburbanisation and longer commutes, generational change. But the single biggest culprit, according to his analysis, was television.

Not because watching TV is bad in itself. It's about the mechanism: television made staying home every evening just a little more attractive and a little easier than going out. It offered entertainment without effort, companionship without obligation, relaxation without hassle. Nobody ever consciously decided: "I'm quitting the community." It happened one comfortable evening at a time, decade after decade, until the leagues were empty and nobody could pinpoint exactly when things went wrong.

Thus, the lesson of Bowling Alone can be summarised in one sentence:

Technology that removes friction unwittingly also removes the encounter hidden within that friction.

Fast forward to now: the era of the AI agent

A quarter of a century later, we stand at the beginning of a new technological wave. First there was TV. Then came social media, which promised connection but mainly gave us parasocial relationships: we follow thousands of people and no longer know our neighbours. And now come the AI agents.

An agent is not a chatbot that answers your questions, but a system that acts on your behalf. It reads and replies to your emails. It schedules your appointments and reschedules them if something comes up. It calls suppliers, compares quotes, negotiates terms and conditions. And the ultimate vision the tech sector is working towards is crystal clear: soon my agent will talk to your agent. Two systems that coordinate, arrange, and prepare decisions on our behalf, after which we only need to step in for the signature.

Every step in that direction is, viewed in isolation, perfectly rational. Nobody likes scheduling emails. Nobody misses the back-and-forth about a meeting time. The promise of the agent is exactly the same as that of TV, only applied to our working and organising lives: friction gone, ease first.

And that's where, for those who have read Putnam, the uncomfortable feeling begins. Which brings me to the central question of this piece:

Will AI agents cause us to bowl even more alone? Or is this precisely the technology that will bring back connection, because there will finally be time for the human element?

Both answers can be seriously defended. Let's give both of them space.

The pessimistic reading: this is television, but everywhere

The pessimist reasons along Putnam’s mechanism, and that mechanism fits disturbingly well.

Look again at where social capital arises: in repeated, casual, semi-obligatory contact. Translate that to working life, and you see that much of that contact takes place precisely in the "inefficient" moments that agents will eliminate. The phone call that started about an invoice and turned into a conversation about the children. The meeting with five minutes of small talk beforehand. The negotiation where you learned to gauge the other person, and gradually learned to trust them. The coordination that could actually have been done in one email, but which meant you did speak to each other every week.

Those moments were never just transactional. They were the bowling nights of working life. The transaction was the pretext; the relationship was the byproduct. Automate away the pretext, and the byproduct silently disappears along with it.

Then there’s a second concern: atrophy. Social skills are muscles. Negotiating, having a difficult conversation, de-escalating a conflict: anyone who structurally delegates these to an agent will get worse at them. And anyone who gets worse at something will avoid it even more. A self-reinforcing spiral, similar to what navigation systems did to our sense of direction.

And history does not reassure us about where freed-up time goes. Economist John Maynard Keynes predicted in 1930 that his grandchildren, thanks to productivity growth, would have a fifteen-hour work week. Productivity growth came in abundance. The leisure time largely did not: it was filled with more work, more consumption, and, indeed, more screen time. Putnam's TV lesson is precisely this: freed-up evening hours did not go to the bowling club, but to the path of least resistance. Why should this time be any different?

And just like then, no one will ever decide to stop human contact. It happens one delegated task at a time.

The optimistic reading: finally time for the human element

But there is a counter-narrative, and it deserves equally serious treatment.

The optimist begins with a correction to the pessimist: most of what agents take over wasn't connection at all. It was coordination noise. Be honest: in how many of your thirty daily emails did trust grow? How much social capital arose in the seventh round of coordinating a meeting time, in filling out forms, in chasing a quote? Much of what we call "communication" is transactional traffic disguised as contact, but it brings no one closer. It actually eats up the time and energy that could have gone to real contact.

What's more: Putnam himself didn't just point to TV. He also cited time pressure and the rise of dual-income households as significant causes of the emptying out of community life. People didn't quit the parent association because they no longer believed in it, but because their schedules were full. If AI agents structurally reduce that pressure, with less administration, less red tape, and fewer evenings spent catching up, then you are tackling one of the roots of the problem. The washing machine freed up time, some of which went to other things. Why couldn't the agent do the same?

There is a third argument: scarcity increases value. As routine contact becomes automated, real human contact becomes rarer, and therefore more precious. We already see this pattern: "handmade" and "personal" have become premium signals in a world of mass production. It is quite conceivable that human attention will go the same way: the account manager who still calls personally, the team that still meets physically, the organisation that deliberately organises human contact instead of leaving it to chance. In this interpretation, agents actually force us to elevate connection from a byproduct to a primary focus.

The optimist therefore sees not a TV, but a vacuum cleaner: technology that takes over the tedious work, so that there is room for what only humans can do.

The third question, too rarely asked: for whom?

So far, it seems like a classic debate between techno-pessimists and techno-optimists. But there is a third dimension that remains underexposed in both camps, and which may be the most important: distribution. Because the question is not just whether agents cost or create connection. The question is for whom.

First, consider the economic angle. Those with autonomy, capital, and control over their own time use agents to buy time, and spend that time on networking, family, and community: the things that enrich life and career. But those at the bottom of the labour market experience the same technology from the other side. There, the agent is not an assistant but the boss: the algorithm that plans routes, measures performance, and assigns shifts. And as a customer or citizen in that segment, you don't get a human, but a chatbot as a point of contact. Human contact thus threatens to become a luxury good. The human doctor, advisor, and account manager for those who can afford it; the bot for the rest.

Then the line of social capital itself. Remember the distinction between bonding and bridging. Agents that filter, pre-select, and optimise everything for us primarily reinforce our existing circle: they schedule the appointments we already wanted, with the people we already knew. But the weak ties outside our bubble disappear first. The chance encounters, the contacts you would never plan yourself: those do not survive optimisation. And it is precisely that bridging capital that is the engine of equal opportunity and social mobility. A society where agents optimise everyone's life could well become a society where everyone sits more efficiently in their own bubble.

And finally, the skills aspect: people with strong social skills will use AI as a leverage, with more time for the conversations they excel at. People for whom social contact was already difficult will find a comfortable escape route with the agent. The gap then widens on both sides simultaneously.

Seen this way, the threat is not so much a new Bowling Alone, but something more insidious: a bifurcated outcome. One group, thanks to agents, will again bowl together. The other group will be left alone, with an algorithm as a teammate.

Conclusion: technology dictates nothing, but the default setting does

What is the honest answer to the central question now? This: technology itself dictates none of these outcomes. TV made us passive, but no one forced us to be. Agents can give back time for the human element, exactly as the optimist outlines.

But Putnam’s deepest lesson is that social capital rarely perishes by decision. It perishes as a side effect of convenience: one comfortable choice at a time, without anyone noticing, until the league is empty. And the default setting of AI agents unmistakably pushes towards the pessimistic and unequal outcome: friction gone, ease first, the free bot for the masses and the human for those who pay. Unless we consciously design and organise against it.

Concretely, this means: deploying agents to remove noise, and actively reallocating the freed-up time to contact, instead of to the next task or the next screen. For organisations, it means treating human encounter not as an residual item that will naturally arise, but as something you organise now that the "obligatory" occasions are disappearing. And for society, it means guarding against human contact becoming a premium product, and ensuring that for some, the agent is an assistant, and for others, a supervisor.

So the question is not whether we will soon be bowling alone again.

The question is who will still be able to bowl together, and what we are doing today to keep that possible for everyone.

Let the agent book the lane. But go bowling yourself. With the whole team.

Further reading: Robert D. Putnam, "Bowling Alone: The Collapse and Revival of American Community" (2000); Mark Granovetter, "The Strength of Weak Ties" (1973); John Maynard Keynes, "Economic Possibilities for our Grandchildren" (1930).

Job van den Berg is an AI keynote speaker, tech entrepreneur, and author of five books on AI. He deploys agents weekly and gives 150+ keynotes per year on AI agents and agentic commerce.

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