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.

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.

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.

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.

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 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.

In a world increasingly optimized by algorithms, one of the most essential practices leaders can adopt to stay human is slow listening—a conscious, unhurried form of attention that resists the pace of technology. Algorithms thrive on speed, shortcuts, and prediction. Human leadership, by contrast, demands presence, patience, and the ability to sit with complexity before reacting. Slow listening is the practice of giving someone your full attention without planning your reply, without interrupting, and without rushing to solution-mode. It sounds simple, but in a culture driven by efficiency metrics and performance dashboards, it's quietly radical. I learned this the hard way during a period when I was managing a hybrid team under tight deadlines. Our meetings had become increasingly transactional—updates, decisions, execution. One afternoon, a team member asked if we could have a quick one-on-one. I expected a five-minute conversation; instead, I listened for nearly forty. No interruptions. No multitasking. Just listening. What surfaced wasn't just a request for support—it was a broader feeling of disconnection. They didn't feel seen as a person anymore. That moment jolted me. I'd been so focused on optimizing performance that I'd forgotten to witness the people doing the work. From that day forward, I started protecting space in my calendar for slow listening—unstructured, tech-free time where people could talk without the clock or agenda driving the conversation. This isn't just anecdotal. A 2023 study from MIT Sloan found that leaders who practiced active, deep listening—even in short doses—had teams with significantly higher psychological safety and lower turnover rates. Interestingly, the study also noted that these leaders weren't necessarily more agreeable or soft-spoken; they were simply more attuned. Their teams felt heard, not handled. In an era where AI can summarize conversations, auto-generate insights, and even predict human needs, the leader's role is no longer to keep up with the algorithm—it's to offer what the algorithm can't: presence. Slow listening is one of the last truly human forms of leadership. It doesn't scale, it can't be automated, and it often defies efficiency. But in a noisy, high-speed world, it's how leaders build trust, depth, and the kind of loyalty that no algorithm can replicate.

**Schedule unfiltered floor time with your crew--physically working alongside them, not just "observing."** I spent 20+ years at 3M leading teams of 100+ people, and the biggest mistake I see leaders make is managing through dashboards and KPIs. When I started Denver Floor Coatings in 2017, I made it a rule to spend at least one morning a week on actual job sites--grinding concrete, mixing coatings, hauling equipment. Not supervising. Actually doing the work. That's where I learned our diamond grinding process was creating way more dust than necessary because we'd spec'd the wrong RPM based on supplier data sheets. One of our installers mentioned his nephew had asthma and couldn't visit his newly coated garage for two days. We fixed it immediately, cut dust by roughly 60%, and now it's a selling point customers specifically mention in reviews. The reason this matters more than algorithms: people will tell you the truth about what's broken when you're sweating next to them, but they'll tell you what sounds good in a team meeting. I've caught quality issues, spotted efficiency tricks our best guys invented, and retained talent specifically because they know I won't ask them to do anything I haven't done myself that month. Our customer satisfaction stays between 98-100% because the owner knows exactly what's being delivered, not what the CRM says is being delivered.

One specific practice I believe leaders should adopt is protected listening time. By that I mean setting aside regular moments where the only goal is to listen to people without metrics, dashboards, or algorithmic summaries guiding the conversation. I learned this the hard way. As more decisions in my work became data driven, I noticed how easy it was to trust charts over people. Performance scores felt cleaner than conversations. Over time, I realized that while algorithms are great at spotting patterns, they are terrible at understanding context, emotion, and intent. When leaders rely only on what the system reports, they start leading abstractions instead of humans. Protected listening time creates space to hear what does not show up in data. It might be a quiet frustration, a fear about change, or a creative idea that has not yet turned into a measurable outcome. When I started doing this consistently, even just thirty minutes a week with no agenda, the quality of my decisions improved. I understood why numbers looked the way they did, not just what they said. This practice keeps leadership human because it reinforces dignity and presence. People feel seen when they are heard without interruption or evaluation. It also reminds leaders that trust is built through attention, not efficiency. In a world dominated by algorithms, listening becomes a deliberate act of resistance. It signals that while data informs decisions, people remain at the center of them.

**Listen to the person, not the data.** After handling roughly 40,000 injury cases, I've learned that every algorithm in the world can't predict what a grieving spouse needs to hear, or when a traumatic brain injury client is hiding symptoms because they're scared. Early in my career, my wife Joni was killed by a drunk driver--that loss taught me that real human connection happens when you shut off the efficiency playbook and just sit with someone's pain. In practice, this means I still take calls directly from clients instead of routing everything through intake systems. Our board-certified trial lawyers meet every serious injury client face-to-face within 48 hours, not because it scales well (it doesn't), but because you can't spot a minimized concussion or read fear in someone's eyes through a CRM dashboard. We've caught life-threatening complications this way that would've been missed in a purely automated triage. The one practice: **Block one hour daily with zero tech--no phone, no AI tools, no case management software--and use it only for direct human contact.** I use mine for client check-ins or mentoring younger attorneys. It's wildly inefficient by metrics standards, but it's where I've learned which cases need to go to trial versus settle, and it's how we've secured eight-figure verdicts that the algorithms said we'd lose.

Make a habit of talking to people without a dashboard in front of you. Once a week, block time to call a customer or a team member with no slide deck, no KPI review, no agenda beyond how is this really going for you and what feels off. Listen, ask follow ups, and resist the urge to turn it into a mini performance review. Algorithms are great at telling you what is happening in aggregate, but they flatten everything. Those raw conversations remind you that every metric is a pile of messy human stories. Leaders who keep that muscle alive make better decisions, because they are not just optimizing charts, they are building something real people actually want to be part of.

I believe leaders need to practice deliberate, human listening. Like really slowing down enough to listen to people in real time, in plain conversation, without a screen acting as the filter. Algorithms are excellent at pattern recognition, yet they miss context, emotion, and intent. Leaders who rely too heavily on tools risk outsourcing judgment, which is where humanity actually shows up. In my work in HR and team development, the strongest leaders I see carve out regular space to ask open questions and stay quiet long enough to hear the full answer. That practice builds trust, surfaces friction early, and keeps decisions grounded in how work truly feels on the floor. It also sharpens leadership instinct. When you listen consistently, you get better at reading tone, energy, and unspoken concerns that never appear in data. This matters because culture is shaped in moments. Teams notice when leaders are present. They respond with candor, effort, and ownership. Technology should inform leadership, not replace it. Listening keeps leaders human, keeps HR work credible, and keeps team development focused on people rather than systems alone. That is essential today.