AI May Change Work. The Need to Belong Will Remain.

Kelvin Ngo on why connecting people, building trust and creating a sense of belonging can remain valuable as AI changes the way we work.

Kelvin Ngo ·

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A perspective from Kelvin Ngo.

Artificial intelligence can draft a proposal, shortlist candidates and suggest who we should meet. As these tools improve, an important question follows: what will people still need from one another?

My view is simple: work that genuinely connects people can continue to matter because people want to belong. We do not only look for answers or transactions. We look for people we can trust, communities where we feel welcome and relationships that give our work meaning.

A prediction is not a deadline

Elon Musk has suggested that AI and robotics could eventually make work optional. In reporting on his remarks at the U.S.–Saudi Investment Forum on November 19, 2025, Fox Business quoted him discussing a possible horizon of 10–20 years. The Hill also reported his prediction, alongside a more cautious view from Nvidia's Jensen Huang about how AI could change people's jobs.

Those remarks should not be treated as proof that the nine-to-five model will disappear within three years. Nor do they establish that 90% or 100% of jobs will be lost. The pace of change remains uncertain, and a technology's capability is not the same as its adoption across an entire economy.

For professionals, the useful response is neither panic nor complacency. It is to consider which tasks can be automated and which responsibilities still depend on judgment, trust and relationships.

Finding a person is not the same as building a relationship

AI can help us discover an expert, identify a potential partner or prepare for a conversation. That can save considerable time. But a suggested match is only the beginning.

A founder choosing a business partner needs more than a list of relevant skills. A candidate considering a new role wants to understand the people they will work with. A company entering a new market needs someone who understands the context and takes responsibility for an introduction.

These decisions involve questions that information alone cannot settle: Will this person listen? Can we disagree constructively? Will they follow through when circumstances become difficult?

Technology can support those conversations. Trust still needs to be earned through them.

Belonging is part of the value of work

A job can provide income, but it can also offer shared purpose, recognition and a place in a community. Even if automation changes how much human effort a task requires, that does not automatically remove our desire to contribute and be understood.

This is why I believe there is an enduring role for people who bring others together thoughtfully: leaders who help teams cooperate, mentors who listen before advising, recruiters who understand both sides of a decision and community builders who turn introductions into meaningful exchanges.

That is a view about human needs, not a guarantee that any particular profession is protected from change. Relationship-based roles also contain routine tasks that AI can take over. Their value will depend on what people do beyond those tasks.

The opportunity: use AI to make more room for people

The choice does not have to be between technology and human connection. We can use technology to reduce administrative work and give more attention to the relationship itself.

For professionals, a practical starting point is to:

  • Learn the tools: use AI for preparation, research and routine coordination, while checking its output.
  • Listen more carefully: understand what someone needs before proposing an introduction or solution.
  • Build trust through action: make relevant introductions, respect privacy and follow through on commitments.
  • Stay useful to a community: share experience and offer help without treating every interaction as a sale.

The aim is not to know the most people. It is to help the right people understand each other and work together.

A future worth preparing for

We cannot know exactly how work will look in three years, ten years or twenty. We can prepare by becoming more capable with technology and more intentional in how we treat people.

My belief is that connecting people will remain meaningful because the need to belong does not disappear when a task becomes automated. The challenge is to offer something more valuable than an introduction: understanding, trust and a reason to keep the conversation going.

Connect with professionals at KN Matching Center, or start a conversation with Kelvin Ngo.

Sources and context

The discussion of human connection and belonging is Kelvin Ngo's perspective. It is not a verified employment forecast or a claim that relationship-based roles cannot be automated.

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