AI for Human Connection: Rethinking Productivity at Events

by Roel Pasetes, Founder of the NKTR Networking App

August 21, 2025

Redefining Productivity in the Age of AI

Much of today's AI hype centers around task completion and automation. While agentic AI is making strides, the majority of day-to-day usage still involves large language models handling repetitive tasks, such as scheduling, summarizing, and responding. These tools are great for individuals with well-defined goals and established workflows.

But not everyone operates in a neatly organized system. Many people today are navigating transitions, changing industries, launching startups, or exploring new roles. For them, productivity isn't just about speed or scale. It's about direction. And often, the clearest direction comes from meaningful conversations with the right people.

This is especially true at in-person events, where human connection is still one of the most valuable outcomes. Founders searching for collaborators, early-stage teams seeking advice, and attendees trying to break into new spaces all rely on the potential of in-the-room serendipity.

Yet the event tech landscape has largely focused on serving organizers, optimizing logistics, streamlining operations, and capturing data, while the attendee experience remains underserved.

What if we flipped the script and started designing AI tools that help people connect better, not just move faster?

The Isolation Paradox of the Builder

Solo builders and early-stage entrepreneurs often spend their days buried in execution, coding, writing, designing, and troubleshooting. There is a deep satisfaction in that kind of work, but it is also incredibly isolating. You can go days, even weeks, focused on tasks without making a single new meaningful connection.

And yet, connection is exactly what is needed, whether it is finding a co-founder, testing an idea with peers, or getting feedback from someone who has already been where you are headed. But reaching out takes time and energy that is often in short supply.

Events seem like a solution. They bring together interesting people across industries, all open to conversation. But walking into a room full of strangers without a clear entry point can feel overwhelming, especially for introverts, newcomers, or people operating outside their usual networks.

This is the paradox. The people who most need connection are often the least equipped to make it happen effectively. It is not about motivation. It is about mental overhead. There is no built-in system that says, "Here's who you should talk to. Here's why it matters. Here's how to follow up."

That is where AI has an opportunity, not to create relationships for us, but to quietly reduce the friction in forming them.

Bridging the Gap in How We Connect

Not everyone walks into an event with the same social toolkit. Some people are natural connectors. They read the room effortlessly, start conversations with ease, and build rapport quickly. Others hesitate. Maybe they are introverted. Maybe they are new to the industry, the city, or even the language. The point is not who is better. It is that people approach connection differently, and the playing field is not level.

That gap is not about motivation. It is about access, and AI may be able to help close it.

As the use of AI in the events space matures, there is an opportunity to shift focus from just logistics and lead capture to the human side of attendance. Could AI surface meaningful insights, like shared interests or complementary experiences, to help people discover who they might genuinely benefit from meeting? Could it play a quiet, background role in making introductions more equitable?

Even for experienced networkers, connection is not perfect. We all have blind spots. We all miss people outside our usual circles. Thoughtfully applied, AI could reduce the randomness in who gets noticed, not by automating relationships, but by reducing the friction in starting one.

More inclusive networking is not just a nice-to-have. It has the potential to elevate the quality of conversation and interaction for everyone in the room.

AI may not be able to make anyone instantly outgoing, but it might help make connection more intentional, more approachable, and more human.

Human Connection Is Messy, and That's the Point

Most meaningful conversations at events do not happen because someone followed a polished plan. They happen in hallways, between sessions, while waiting for coffee, in imperfect, unscripted moments that somehow become memorable.

And yet, much of how we think about networking, especially in professional contexts, is shaped by structure: agendas, lead capture forms, contact lists. It assumes clean outcomes and straight lines. But real connection rarely works that way.

People forget names. Conversations trail off. You meet someone great and then never see them again. You attend an entire event and walk away unsure if you made any lasting impressions. And that is not necessarily a failure. It is just reality.

That is why any role AI might play in the future of events has to respect this messiness. It should not try to engineer every interaction or filter people down to personas and tags. Instead, it should help us notice more, stay present longer, and make it easier to act on moments that matter.

If we want technology to improve how people connect, it has to stay humble. The best support is often the kind you barely feel, quiet, respectful, and fully in service of the human experience.

What AI Can't Replace

For all its potential, AI has limits, and connection is one of them.

It cannot replicate the feeling of being truly seen. It cannot generate warmth, vulnerability, or trust. Those things happen between people, often slowly and often by surprise. No model, no matter how advanced, can manufacture that kind of energy.

That is not a knock on AI. It is just a reminder of what is irreplaceable.

But there is still value in support. AI can help reduce the friction in showing up, starting a conversation, remembering a name, or following up with intention. It can remove small obstacles that sometimes snowball into missed opportunities. In that sense, its job is not to create connection. It is to create space for it.

What we have to resist is the temptation to over-automate. The more we try to systematize human relationships, the more we risk stripping them of the very things that make them matter. Not everything needs to be optimized. Some things need to be honored.

Connection is one of them.

Conclusion: Productivity = People

For all the talk about AI accelerating productivity, it is worth asking: productivity toward what end? If we are building faster but connecting less, are we really making progress?

At events, where so many paths cross and possibilities begin, the real opportunity is not just in doing more. It is in noticing more. Remembering more. Connecting better.

The next phase of AI innovation should not try to replace human connection. It should help us protect it. Help us enter conversations with more context, leave them with more clarity, and follow up with more ease. Quietly, respectfully, and always in service of the people on either side of the exchange.

Even as AI accelerates, the most meaningful progress will still be made face to face.

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