MITCH MITCHEM

THE FUTURE HAS NO MANNERS

The new human rules for a world moving faster than we are

Think about what happens when the electricity goes out. You do not spend much time debating whether electricity is important. You discover how much of your life you built around the assumption that it would keep working. My belief is that we are moving toward that kind of dependence on AI, and we need to get a lot more serious about the human beings responsible for it.

This week’s Microsoft outage and the FAA’s nationwide ground stop put dependence on technology right in front of us. They also brought me back to a question I keep asking: as the machines get more human, are we? Whatever the technical explanation for a particular disruption, people still need someone who can explain what is happening, make a decision and help them get through it. We cannot treat that human capability as an optional extra.

This has been on my mind for a long time: 11 years since my dating app and nine years since my TEDx talk. Those are two different milestones in the way I have been thinking about technology and human connection. Today, the question feels more immediate because we are giving these systems a larger role in how we work and live.

I think we are heading toward a turning point. We are building an extraordinarily powerful future on top of processes, institutions and human habits that were not designed for it. The gap between what our technology can do and what we are prepared to manage is getting harder to ignore. Eventually, we hit a wall. We discover that buying more capability did not automatically make us more capable of leading it.

That moment may arrive through a series of ordinary experiences rather than one enormous event. A customer cannot get a straight answer. An agent sends a beautifully written message to the wrong person. A team cannot tell who owns a decision. A system becomes unavailable and nobody remembers how to keep working without it. Each experience asks people to trust something they cannot understand, question or reach a human being about.

My concern is that people will begin to lose trust in AI because of the way we put it into their lives. If the experience is confusion, distance and nobody taking responsibility, why would they trust it? Telling them the model is more powerful will not answer the question they are actually asking: who is looking out for me here?

I use AI. I believe in what it can help us do. I see an extraordinary opportunity to expand knowledge, remove unnecessary friction and give people capabilities they could not have accessed before. I also think we are asking the wrong question when we only ask how much work we can automate. We need to ask what happens to the person on the other end, and whether we have prepared anyone to take responsibility when the answer is wrong.

Here is a simple example. An agent can find a name, write an email and send it very quickly. But is this the right organization? Does this person still work there? Do they actually need what we offer? Have we already contacted them? Is someone on our team already managing that relationship? Speed becomes a liability when nobody does that thinking. A thousand poorly considered messages do not become a good strategy because they went out before lunch.

That is why I believe we need new human rules. We need to practice judgment, accountability and connection with the same seriousness we bring to adopting the next tool. Here are the seven I would start with.

1. Never surrender your judgment

Use AI to challenge your thinking, expand your options and help you notice what you missed. Then ask what supports the answer. Ask what would change it. Ask who might be affected if it is wrong. A confident response can be useful, but confidence does not relieve you of the responsibility to think. I want technology that makes me a better decision-maker, and I have to participate in that process.

2. Human responsibility does not disappear when a machine takes action

Every consequential decision needs an owner. Someone needs the authority to stop a process, correct a mistake and explain what happened. If your team cannot name that person, you have work to do before you expand the automation. The customer should not have to navigate an argument between your software provider and your department heads to find someone willing to help.

3. Context is a human advantage

The system may have facts. You still have to understand the room, the relationship, the history and the stakes. The same sentence can reassure one person and offend another. A perfectly timed follow-up in one relationship can damage another. That is why I care so much about teaching people to ask better questions and pay attention. Context changes what a good answer looks like.

4. Connection is not a feature

People need reassurance, empathy, humor and dignity. They need to feel that somebody has heard them. We can make communication faster and still leave everyone feeling more alone. We can customize an experience so completely that we lose the practice of understanding anyone outside our own preferences. I think part of our next chapter is learning to be interdependent again: checking in, challenging each other respectfully and remembering that another person’s experience matters even when it is different from ours.

5. Stop denying the scene

In improv, you have to work with what is happening in the room. If you keep denying it, the scene cannot move forward. AI is here. Change is here. Uncertainty is here. You do not have to love every part of it to participate intelligently. You can acknowledge what is happening, ask a useful question and make your next choice. Leaders need to help people practice that, especially when the plan they walked in with stops working.

6. Learn to recover, not just optimize

Ask your team what happens if its most important system is unavailable tomorrow morning. Who makes the call? How do you reach each other? What can continue? What must stop? What do you tell the people counting on you? Walk through the answers before you need them. A recovery plan sitting in a folder will not help much if nobody has practiced using it. Trust grows when people see that you can respond honestly and competently, including when you do not yet have every answer.

7. Amplify, don’t automate away, what makes us human

Let machines help with processing, repetition and the work that consumes time without requiring much judgment. Then be intentional about what you do with the capacity you gain. Use it to listen, create, care, decide and bring people together. If all we do is fill the time with more output, we may end up moving faster while becoming less useful to the people we wanted to serve.

I have spent my career in rooms full of people, using improv, comedy, music and audience participation to create connection and move through uncertainty. I have also built businesses and worked with leaders trying to solve hard problems. Again and again, I come back to the ability to read the room, work with what is happening and make a choice with other people. Those are skills we can develop. They deserve practice, not another slide telling us they are important.

For leaders, I would start small and make it real. Pick one AI-assisted process your organization already uses. Name its human owner. Review actual outputs. Ask the people receiving them what the experience is like. Decide what requires human review and what should trigger a stop. Practice recovering from a mistake. You will learn more from that exercise than from another conversation about how many tools your organization has adopted.

We have a chance to build a better future with AI. But we have to stop acting like we are passengers. Being in charge means accepting the work of leadership: checking, questioning, listening, making choices and taking responsibility for their consequences. It also means recognizing that none of us can do all of that alone.

I call this The Future Has No Manners because the future is not going to wait politely for us to feel ready. It will interrupt our plans and change the conditions while we are still learning how to work in them. We get to decide how we respond, how we treat each other and what we refuse to hand over without thinking.

The future has no manners. It is up to us to create the new human rules.

Let’s make something happen.

About Mitch Mitchem

Mitch Mitchem is the CEO and founder of HUMAN HIVE, a speaker and entrepreneur focused on human capability in an AI-driven world. His work brings together leadership, technology and his background in improv, comedy and audience participation to help people navigate change without losing their humanity.

Learn more at mitchmitchem.com.

15 new rules for a more human future

1. Your worth is no longer your job
2. Purpose has to be chosen, not assigned
3. Human judgment becomes more valuable
4. Relationships become a form of wealth
5. Creation replaces employment as a source of identity
6. Contribution becomes voluntary but still important
7. Status shifts from possession to mastery
8. Attention becomes one of the most valuable resources
9. Authenticity becomes scarce
10. Struggle becomes elective
11. Education becomes identity formation, not information transfer
12. Parenting becomes more important
13. Community replaces the workplace
14. Humans retain decision rights over consequential choices
15. The goal of life shifts from accumulation to experience

“If machines can do almost everything for us, being human becomes less about what we can produce and more about what we choose to value.”

As the machines get more human, are we?