What is one specific practice leaders should adopt to stay human in a world dominated by algorithms, and why?

As leaders navigating a world increasingly dominated by algorithms and artificial intelligence, I've learned that the most critical practice we must adopt is intentional, undistracted presence—and I mean truly being there with our teams, not just physically occupying space while our minds race through dashboards and metrics. Here's why this matters more than ever: algorithms excel at processing data, identifying patterns, and optimizing outcomes, but they fundamentally cannot replicate the human capacity for empathy, nuanced judgment, and authentic connection. When I make the conscious decision to close my laptop, silence notifications, and engage in genuine face-to-face conversations with my team members, I'm doing something no AI can replicate—I'm acknowledging their inherent worth beyond their productivity metrics. This practice of presence allows me to pick up on the subtle cues that no sentiment analysis tool can capture: the hesitation in someone's voice when they're struggling with burnout, the spark of excitement in their eyes when discussing a new idea, or the underlying tension in a team that data might suggest is performing well. In our AI-driven operations at Olib AI, we leverage technology to handle thousands of interactions daily with remarkable efficiency, but I've seen firsthand that the moments that truly transform our culture and drive innovation happen in those unstructured, algorithm-free conversations where vulnerability and creativity can emerge. By practicing intentional presence, I'm modeling for my team that while we build and deploy sophisticated AI systems, we never lose sight of the irreplaceable value of human judgment, intuition, and connection. This isn't about rejecting technology—it's about ensuring we remain the masters of our tools rather than becoming servants to them, and it's about preserving the uniquely human elements of leadership that create psychological safety, inspire trust, and foster the kind of innovative thinking that no machine learning model can generate on its own.

One practice leaders should adopt is making one decision each week without relying on dashboards or automated recommendations. We noticed that as algorithms became more involved in planning and prioritization, leaders started approving actions based on scores and alerts without fully understanding the situation behind them. To correct this, we introduced a Human Review Pass system. For example, before changing a project timeline flagged as "at risk" by our tools, the leader in charge of that project had a short conversation with the people involved to understand what was actually happening. In one case, the data suggested a delay, but the team was intentionally slowing down to avoid a larger mistake. This practice works because algorithms surface patterns, not judgment. When leaders pause to validate decisions with real people, they avoid overcorrecting, make better calls, and remind teams that technology supports the work, it doesn't replace human thinking.

I'm Andy Zenkevich, Founder & CEO at Get A Copywriter. Here's my take on preserving the human touch in a world of automation. The most important thing for leaders to do? Separate tasks from jobs. Identify repetitive tasks ripe for automation while emphasizing the human magic of subjective decision-making. In scaling a content platform that foregoes AI output, I've learned that if you treat a job as a set of tasks, it becomes a commodity. For example, so many companies are trying to automate social media posting. But if a machine posts based on trending business rules and generated text, the brand voice regresses to the mean. It sounds like every other automated company. It's like a uniform brand voice. The human element lies in the gap between task and strategy. I encourage my team to use AI as an empathy amplifier. They can summarize interactions, meetings, and emails for two weeks before a one-on-one to arrive better informed about health issues, personal dynamics, and roadblocks. Instead of replacing the human touch, the goal is to use automation to clear busywork so leaders can be present. When you're raising people strategy to the same level as technology and business strategy, culture is not fluff. It's your competitive advantage in a world of algorithmic sameness.

Using a simple method, I decided to block out time each week to communicate directly with employees and partners on an individual basis, without any agenda other than listening. There was nothing on the dashboard, no cover page of notes, and no subsequent task assignments to follow up on. I allowed the person to express everything they had been frustrated with or anxious about, and what they believed leadership should address. Though the feedback yielded the same patterns, it provided additional context beyond what I had previously relied on. In one such example, I received client feedback on a scheduled rollout, prompting me to rethink the timeline. I found that the proposed new timeline would erode trust among teams already facing many challenges and being overextended. So, I allowed myself to step back and justify the changes, and I modified the timeline. This resulted in fewer issues after the rollout and in the teams that supported and endorsed it. The takeaway here is that while tools are beneficial, they cannot replace personal judgment in face-to-face contact with others. Trust is developed through presence, listening, and being present with individuals, without anyone acting as an intermediary between you and that person. Data can inform leadership decisions, while effective listening supports the validity and soundness of those decisions.

One practice I strongly believe leaders should adopt is regular, real conversations with their people. Not meetings about numbers. Not talks driven by tools or reports. Just honest check-ins with no agenda. I learned this during a busy phase at work. Everything was driven by data, including dashboards, targets, and updates. We were making choices very quickly. However, something was really off. People were doing the work, but energy was low, and there was a lack of trust. That is when I started having short one-on-one talks. No screens. No notes. Just listening. I asked simple questions. How are you feeling about your work? What is getting in your way? What is going well? At first, people were careful. Over time, they opened up. They shared stress. They shared ideas. They shared personal wins and struggles. Those talks changed how I led. I stopped making choices based only on numbers. I started thinking about people first. When someone missed a goal, I looked beyond the metric. I tried to understand the reason. Often, there was more to the story. In a world full of algorithms, it is easy to forget this. Systems do not feel pressure. People do. Tools do not get tired. People do. When leaders forget that, teams suffer. Staying human does not mean ignoring data. It means not letting data replace judgment. Real talks help leaders see what numbers cannot show. This practice also builds trust. When people feel heard, they feel valued. They work better, stay longer, and speak honestly. That helps everyone. The reason this matters now is simple. Technology is moving fast. Decisions are faster than ever. If leaders do not slow down to connect, they lose touch with reality. For me, staying human starts with listening. No system can replace that. No tool can match it. Real leadership still begins with real people.

Schedule unstructured conversation time with your team that has zero agenda. In Lumion I set aside an open office hour (30 minutes per week) where people can talk about anything, not just project updates or reviews. This conversation allows me to take the temperature of low-grade discontent that could turn into resignations. It is important because people do their best when they feel connected. Working exclusively in platforms such as Slack and project management tools may make it easy to overlook signs that a problem is brewing or an opportunity isn't getting the attention it deserves. A chance encounter can lead to the kind of wild thinking that doesn't always happen when we're fixated on productivity mode. These conversations help me become a better listener and distinguish team burnout, skill gaps and product ideas. Although these algorithms can rapidly solve particular problems, the link to the human experience is crucial when it comes to understanding meaningful solutions in action.

One specific practice leaders should adopt is making room for human judgment in decisions that affect people, not just metrics. As algorithms increasingly optimize for efficiency, they can unintentionally strip context, empathy, and nuance from decisions around hiring, performance, customer relationships, or layoffs. Leaders should deliberately review and override algorithmic recommendations when human impact is high, asking simple questions like: does this make sense for the person, not just the data? This practice matters because trust, culture, and long-term loyalty are built through human judgment, not optimization scores. AI can surface patterns and recommendations, but leadership remains a human responsibility. The leaders who stay human are the ones who treat AI as an input, not an authority.

The most important practice I incorporate into my decision making is to intentionally take time when making all decisions with a personal impact to others. Even when there are algorithms that provide an answer very quickly, it can be very appealing to accept these outputs as being impartial or being a final data point in the decision process. Therefore, I have established a practice of pausing before acting and considering what is missing from the consideration by the system, such as the context of the situation, their intended goal, and any personal situations they may be experiencing. Although this pause is not necessarily being an inefficient part of the decision process, it does serve as a reminder that leadership is still a human and moral responsibility. The other reason this is important to take into consideration is that algorithms are built to optimize for patterns, and there is no inherent meaning to that pattern. When leaders allow themselves to easily outsource their judgment, they are in danger of losing trust and agency with their team members, even if the leader is producing what appears to be, from an efficiency standpoint, an efficient product. We must stay human when using AI as part of the decision making process by treating AI purely as an input and not as an authority, and we must be able to articulate the rationale behind our decisions based on numerous human terms.

I'm Justin Brown, co-creator of The Vessel, a purpose-driven personal development platform. One practice I think leaders need to adopt to stay human in an algorithm-dominated world is writing down the why behind decisions and sharing it with the team. Algorithms push you toward outcomes without context. More clicks, more speed, more output, more efficiency. If leaders only communicate the metric, people start to feel like they're working for a dashboard, not a mission. That's when trust erodes and burnout creeps in, even if the numbers look great. In our team, whenever we make a call that affects priorities or workload, I try to capture the reasoning in a short note. What we chose, what we are not doing, and what tradeoff we are accepting. It takes a few minutes, but it keeps the work human because it treats people like adults who deserve context. It also invites better feedback because someone can disagree with the reasoning, not just react emotionally to the change. The reason this matters is simple. In a world where machines can optimize endlessly, leaders have to protect meaning. People can handle hard work. What they struggle with is work that feels arbitrary. Justin Brown Co-founder of The Vessel https://thevessel.io/

In today's fast-paced world, where new technologies, apps, and algorithms seem to appear every day—supposedly to help us—it can actually become confusing to tell what's real and what isn't. While technology can support faster responses and efficiency, that's not how the human brain is designed to function. As a stress management expert, I work with many clients who feel like they're losing themselves in a never-ending stream of notifications, alerts, and analytics. I often hear the same question: "What can I do to feel better without spending even more time on my phone or computer?" Here's one simple practice I believe every leader should adopt: use technology to remind you to stop and pause. Set an alarm to take at least a one-minute break—once an hour if possible—where you stop, do absolutely nothing, close your eyes, and breathe. Step away from whatever you're doing. That pause gives you a chance to feel back into your body, become present, and simply be with yourself. It not only lowers stress levels, but it also recenters you in your humanity—reminding you that you're not just a system processing data, but a person with a body and feelings.

One practice leaders should adopt is to spend real time with people without a dashboard in front of them. A simple way is to block one hour each week for listening, like short check ins where you ask two questions: what is getting in your way and what are we missing. Algorithms are great at counting what already happened, but they miss what people are afraid to say, what is about to break, and what matters emotionally. When you hear someone explain a problem in their own words, you get context that no metric can capture. A small example is a team that looks productive on paper, but in conversation you learn they are quietly burning out and cutting corners. If you catch that early, you can fix it before it becomes resignations or quality issues.

Make yourself genuinely accessible. In a world of automated workflows, scheduled Slack messages, and AI-generated responses - being reachable as a real person becomes rare. And rare things become valuable. If your team feels they can actually reach you - not your calendar bot, not your auto-reply - they will. They'll share concerns early instead of letting problems grow. They'll bring ideas instead of keeping them to themselves. They'll tell you when something's wrong instead of quietly disengaging. And here's the interesting part: this behavior spreads. When people see that openness works with you, they start doing it with each other. Someone reaches out to a colleague directly instead of waiting for a formal sync. Someone raises a concern in a meeting instead of complaining in private. The whole team becomes more connected. The result? Trust. Not the corporate poster kind - the real kind where people actually believe they can speak up and be heard. Algorithms optimize for efficiency. Humans need connection. The leaders who understand this difference - and act on it - will build teams that actually want to work together. Being accessible takes time. But the trust it creates saves far more.

The sharing of their perspective on things. The specific practice leaders should adopt is the regular articulation of their subjective vision. We must be intentional about this because, today, the hard part of staying human is remaining original when we are constantly bombarded by the thoughts of others. However, your perspective is your competitive advantage. Even if your idea has been had before, it has never been had by you in this moment. Sharing these internal thoughts is what creates a genuine connection with an audience; it provides the 'soul' and the 'why' that a algorithm simply lacks.

I think the one practice that leaders must adopt to stay human is that they should intentionally practice regular, unscripted human conversations—without dashboards, KPIs, or algorithms in the room. In a world dominated by data and automation, it's easy to manage outputs and forget people. Also a consistent one-on-one conversations grounded in listening—not performance metrics—can build trust, surface real issues early, and remind teams they're seen as humans, not inputs. The best leaders use data to inform decisions, but relationships to lead them.

Leaders could use their time for unstructured one-to-one discussions where the point is not decision-making but listening. In this way, leadership remains connected to human experiences, which might otherwise become detached in data-driven decision-making. For example, if a data source suggests a particular employee underperforms while another Employee A outperforms the first one every time.

Every Friday afternoon I've got the habit of ringing up 3 past clients, just to drop them a line & see how they're doing with their site. Its not about trying to sell them anything or drop a pitch on them, just a genuine "how's it going", and checking if they need a hand with anything. Most of them are pretty taken aback by my calls, they're used to being ditched by agencies the minute a site goes live. Everyone else is just blasting out automated email campaigns, but those things get deleted faster than you can say "robot spam". People can spot a bot sending them out a mile off. But when you actually take the time to ring them up when there's nothing to gain from the call? That really starts to cut through all the noise. And you know what? I'm getting more referrals out of those Friday calls than I'd ever get from any of those lead magnets or email campaigns ive tried. I really think people actually remember when you bother to stay in touch with them because you genuinely care, not just because your CRM is telling you to send an email.

The practice: Listen to the story behind the data. Here's why it matters, and why we've built our entire business model around it: Algorithms and data models can process ratios faster than any human. They can flag risks, predict defaults, and score creditworthiness in seconds. But they can't hear the forecast a CEO has for their market. They can't understand the milestone timeline on a custom manufacturing build. They can't factor in the operational reality of why last quarter looked weak, but next quarter will be strong. We underwrite context, including market dynamics, growth plans, and real-world situations, not just numbers. That's a deliberate choice in an industry that is increasingly automated. Our finance committee is only three or four people, but they are senior-level decision-makers who can listen, ask questions, and structure deals that make sense for the actual situation, sometimes the same day. Over 40% of our business comes from repeat clients. That doesn't happen because of algorithmic efficiency. It happens because people remember when someone actually listened. The tension we navigate: We absolutely use technology, and we acquired EquipmentLeases.com specifically for digital efficiency. Buyers use AI tools to research financing now. But technology gets them to us. What keeps them with us is human judgment and partnership.

Practice empathy every day as a leader. I check in with my team, listen to what they say, and notice what they don't. An algorithm can provide data, but it isn't good at understanding people or earning trust. And people are responsive when they feel heard. In a world full of AI, empathy makes leadership more human.

The practice I've adopted is ADMITTING KNOWLEDGE GAPS to clients and team members instead of pretending expertise I don't possess. When a client loses rankings from a Google algorithm update, I tell them: "I'm not sure why this has happened to us, but lets figure it out together." This frankness builds trust, because it's more believable to admit you're out of 4 algorithm than acting like an expert working on one. For example, one HVAC client renewed after I was transparent about what wasn't working in the initial strategy. Rather than making excuses I was open to communication and collaboration on solutions which showed accountability as well as improvements. Sharing the fact that I am learning with new marketing technologies and AI, for example, encourages innovation. Team members feel secure in voicing new ideas, questioning assumptions and challenging the status quo - often resulting in successful client campaigns. It also helps prevent leaders from burning out by giving them the freedom of not having to know everything. Being aware of my limitations reduces stress and improves working relationships with clients and colleagues. Open communication creates a transparent and collaborative environment in the office where everyone is valued.

An "active community presence" is the best way for leaders to engage with their staff on a day-to-day basis by spending time in their staff's daily environments. With the growing use of remote monitoring systems and automated data reporting, nothing establishes community trust better than physical/human/interactive presence. Leaders who have been active and engaged in their staff's daily lives can identify issues that may otherwise go unnoticed by algorithms and remote monitoring systems due to the emotional temperature of their teams and their stress level. By providing this level of visibility and accessibility, leaders create a climate of psychological safety for their employees that helps them develop resilience and successfully cope with rapid change in today's organizations.