July 4, 2026

“Love is becoming less about finding another person and more about designing the perfect experience.”

There was a time when choosing a life partner wasn’t entirely your decision. Your family had opinions. Your friends knew your dates. Your colleagues noticed who you spent time with. Religious institutions, neighborhoods, universities, and workplaces acted as invisible networks through which relationships emerged. Whether we liked it or not, romance was embedded within society.

Today, the process looks radically different.

Millions of people search for partners alone, late at night, swiping through strangers they will never meet again. Their successes and failures remain invisible to everyone around them. A relationship can begin, flourish, and disappear without a single mutual friend ever knowing it existed.

This isn’t simply a technological change. It represents one of the most profound social transformations of modern life. French sociologist Marie Bergström, in The New Laws of Love, argues that online dating has fundamentally privatized intimacy. Digital platforms didn’t merely create a new way to meet people – they separated romantic life from the public institutions that historically shaped it.

That idea explains far more than Tinder or Bumble. It explains why marriage is being delayed across developed economies. Why loneliness is rising despite unprecedented connectivity. Why dating feels increasingly transactional. And perhaps most surprisingly, why millions of people are beginning to form emotional relationships with artificial intelligence.

The AI companion is not the beginning of a new era. It is the logical conclusion of the one we are already living in.

Love Was Never Just About Two People

Modern culture celebrates the idea that love should be entirely personal. Two people meet. They fall in love. Everyone else stays out of it. Historically, this was the exception – not the rule. Across civilizations, relationships were deeply social institutions. Communities didn’t simply witness relationships; they actively created and sustained them. Schools, neighborhoods, places of worship, workplaces, extended families, and mutual friends acted as what sociologists call social infrastructure. These networks served as informal recommendation systems long before algorithms existed. Shared communities reduced uncertainty because people arrived with reputations rather than carefully curated profiles.

Romantic choice was never frictionless, but it was rarely solitary.

Technology changed that.

The First Privatization of Intimacy

Marie Bergström’s central insight is deceptively simple – online dating didn’t digitize traditional courtship. It relocated it. Instead of emerging through overlapping social circles, relationships increasingly begin inside private digital platforms owned by corporations. The community disappears. The smartphone becomes the intermediary. This shift produced extraordinary freedom. People gained access to partners beyond geography, religion, class, and existing social circles. LGBTQ+ communities found spaces that had previously been inaccessible. Interracial and intercultural relationships became easier to initiate.

By removing society from dating, platforms also removed many of its stabilizing forces. There are fewer mutual friends to encourage accountability. Less social cost to disappearing without explanation. Less reputational consequence for dishonesty. More choice, but less context.

The result is that intimacy increasingly resembles an individual consumer decision rather than a shared social process.

When Love Became a Marketplace

What happened to love once it moved to digital platforms?

Dating apps transformed romance into a marketplace.

At first glance, that sounds harmless. Markets are efficient. They connect buyers and sellers. They increase choice. But human relationships are fundamentally different from shopping.

When Amazon shows another product, you gain information. When Tinder shows another person, you begin comparing human beings as interchangeable alternatives.

Psychologists have long understood that abundance changes decision-making. Economists call it choice overload. Behavioral scientists describe the paradox of choice: beyond a certain point, more options produce less satisfaction rather than more. This is called “Audition Effect” – the illusion of better. Daters are suffering from a chronic state of low satisfaction. Even on a great date, people’s brains are actively looking for flaws and planning for the next dynamic swipe on an app, trapped in the belief that an even better choice is always just one swipe away.

The problem is that dating apps rarely allow users to transition from exploration to commitment. The interface is designed to keep exploration alive indefinitely. Every new profile whispers the same seductive promise “Maybe the next one is better.”

More choice has not produced more connection. It has produced more comparison. This phenomenon extends well beyond dating. Netflix users spend more time browsing. Spotify users endlessly skip songs. LinkedIn users compare careers. Instagram users compare lifestyles.

We increasingly evaluate potential partners the way consumers evaluate products – not because we became shallow, but because the interface encourages that behavior. What began as freedom slowly becomes perpetual optimization.

The swipe is not merely a feature. It is a philosophy.

The Optimization Trap: How Filters and Markets Changed the Rules of Love

The biggest disruption brought by dating apps isn’t that they moved dating online. It is that they fundamentally changed how we evaluate another human being. Before dating apps, meeting someone was largely a discovery process. Compatibility wasn’t something you verified upfront; it was something you uncovered over time.

Dating apps inverted this process. Today, choosing a partner increasingly resembles solving an optimization problem. Users begin with a mental checklist: height, income, education, profession, political views, religion, fitness, lifestyle, hobbies, travel preferences, even taste in music or pets. Each criterion is individually rational.

The problem arises when these preferences become filters rather than guideposts. On dating apps, people don’t look for compatibility. They don’t ask, “Could we build a meaningful relationship?” Instead, we ask, “Does this person satisfy my search parameters?” They apply filters. The assumption is understandable. More information should produce better decisions.

This reflects a broader shift in thinking. In engineering and product design, optimization means maximizing an objective function while satisfying a set of constraints. Dating apps have subtly encouraged people to apply the same logic to relationships, as if finding a life partner were simply a search algorithm waiting for the right inputs.

Yet relationships rarely succeed because two individuals satisfy twenty predefined conditions. Optimization assumes that all relevant information is available upfront. Relationships work in exactly the opposite way. But human relationships don’t behave like optimization problems. They succeed because two imperfect people gradually learn to adapt to one another.

Optimization and intimacy follow different rules. Optimization seeks perfection before commitment. Love discovers compatibility after commitment. The distinction matters more than ever.

This optimization mindset is reinforced by another powerful force: markets.

Once dating moved onto digital platforms, romance started behaving like a marketplace. And markets have their own rules. Economists have long observed that digital markets rarely distribute attention evenly. Instead, they follow power-law distributions, where a small percentage of participants receive a disproportionately large share of attention. We see this everywhere: a handful of creators dominate YouTube views; a few influencers capture most Instagram engagement. Dating platforms exhibit the same dynamics.

Algorithms are designed to maximize engagement. Increased visibility generates even more engagement, creating a self-reinforcing feedback loop where the most attractive or desirable profiles become increasingly visible, while many others receive little attention. This phenomenon helps explain why people’s experiences with dating apps vary so dramatically. For some, there is an endless stream of matches. For others, the experience is one of prolonged invisibility and repeated rejection.

The technology isn’t necessarily biased against any individual. Rather, it follows the same network effects that govern nearly every digital platform.

Markets reward efficiency.
Algorithms reward engagement.
Filters reward precision.

The consequences extend far beyond dating apps themselves. They are reshaping marriage, gender roles, emotional labor, and even the economics of companionship. Most surprisingly, they are creating the conditions for an entirely new competitor to human relationships, not another dating platform, but artificial intelligence itself.

In Part II, we’ll explore how the economics of modern relationships, changing expectations around marriage, and the rise of AI companions are all connected, and why AI may represent the ultimate privatization of intimacy rather than a separate technological revolution.