What is Reverse Improvement? How leaders can avoid common AI mistakes

I was watching comedian and political commentator Bill Maher talk about Reverse Improvement (RI), and it struck me how profoundly relevant this idea is to the leadership challenges highlighted in this article and the themes we’ve explored in my upcoming book, TRANSCEND: Unlocking Humanity in the Age of AI. Reverse Improvement, as Maher describes it, occurs when technological progress unintentionally diminishes core human skills and values. Maher’s idea of RI isn’t just about clunky tech updates or frustrating software upgrades—it’s about a much larger, more insidious phenomenon: how technological “advancements” can subtly, and sometimes drastically, lead to the erosion of fundamental human skills and values.

The concept of RI highlights a key dilemma facing leaders in the age of AI: When does technological progress stop being an improvement and start becoming a regression? As AI and automation handle tasks once dependent on human creativity, intuition, and problem-solving, we risk outsourcing not just labor but also our intellectual and emotional core. RI warns us of this subtle decay—a decline that happens not in obvious ways but slowly, through overreliance on tools meant to help us.

As AI transforms the workplace, it’s easy to view automation as a form of progress. But if AI makes us less self-aware, less creative, and less empathetic, are we truly improving? Or are we succumbing to RI—replacing meaningful human effort with efficiency at the cost of long-term growth? This tension is exactly why mindful leadership, grounded in principles like self-awareness, right intention, and resilience, is more important than ever.

AI, Reverse improvement, and the risks of dependency

Not all technological upgrades lead to better outcomes. Many improvements, particularly in the context of AI, can unintentionally diminish the very skills that made us successful in the first place. A leader who once relied on keen observation and strategic thinking may, over time, rely on AI-generated insights without questioning their validity. An employee who once developed persuasive narratives may now rely on AI to draft content, losing the ability to connect ideas creatively.

This erosion of skills is why leaders must maintain mindfulness in how they integrate AI into their workflows. Mindfulness, as taught by Eastern and Buddhist philosophy, emphasizes the importance of being present, aware, and intentional. Leaders who embody these qualities recognize when AI is genuinely enhancing their abilities versus when it’s causing stagnation.

Reverse Improvement occurs when leaders fail to pause and evaluate whether technological progress aligns with long-term human development. AI may offer convenience, but convenience can come at the cost of resilience, problem-solving, and self-reflection—skills critical to effective leadership.

Recognizing when AI helps vs. when it hurts

We don’t lose skills all at once—we lose them gradually, as dependency on AI subtly erodes our mental muscles. Self-awareness, a core tenet of mindfulness, helps leaders recognize when this erosion is happening. Self-aware leaders evaluate whether they are engaging with AI as a tool or relying on it as a crutch.

For example, a marketing leader who once crafted compelling campaigns may now rely on AI-driven algorithms to optimize strategies. Without self-awareness, they may stop developing their storytelling abilities, assuming the AI will always “know best.” But self-aware leaders pause, reflect, and ask: “Am I still growing, or am I letting AI take over my creative instincts?”

Action Plan: Leaders should integrate mindfulness practices directly into their daily routines and team interactions. This can include short reflective meetings where leaders and teams pause to evaluate decisions and their alignment with long-term goals. Additionally, conducting regular assessments of AI’s role within workflows will ensure leaders remain in control, using AI to complement rather than override human judgment. By fostering an environment of ongoing reflection, leaders can continuously recalibrate their strategies to balance innovation with intentional decision-making.

Leading with purpose, not automation for automation’s sake

Purpose-driven leadership ensures that leaders consider the ethical, human, and long-term consequences of their decisions. RI occurs when leaders pursue technological upgrades without questioning their value beyond short-term productivity gains.

AI should free up human potential for higher-order tasks, such as creative problem-solving and relationship-building. However, when AI is implemented without the right intention, it can lead to the opposite effect—de-skilling employees and fostering dependency. Leaders with the right intention ask: “How does this technology enhance, rather than replace, human growth?”

Action Step: Leaders should develop a structured framework for evaluating new AI tools by integrating key criteria such as ethical considerations, employee impact, long-term strategic alignment, innovation potential, and risk management. This framework should assess the tool’s ability to foster creativity and innovation while identifying potential operational disruptions, ethical risks, and unintended consequences. To ensure comprehensive evaluation, governance protocols should be established to monitor compliance with organizational policies, data privacy standards, and ethical guidelines. In addition, diverse stakeholders across departments should be involved to assess both short-term efficiency gains and long-term human development outcomes.

By embedding periodic reviews of AI’s effectiveness, leaders can balance technological progress with sustainable, human-centered growth while mitigating risks and driving continuous innovation.

Building human strengths alongside technological progress

Resilience in leadership means embracing change without losing core strengths. Technological progress can undermine resilience when we allow machines to do the hard work that builds character and cognitive stamina. Leaders who embrace resilience understand that problem-solving, creativity, and emotional intelligence are developed through struggle, effort, and reflection—not instant solutions.

AI can certainly assist with repetitive tasks, but leaders must ensure that the hard, growth-oriented work of leadership remains intact. For example, instead of relying solely on AI to analyze market trends, resilient leaders involve their teams in brainstorming sessions to sharpen their strategic thinking.

Action Step: Leaders can prioritize activities that involve manual problem-solving, creative brainstorming, and team collaboration. These exercises help maintain and strengthen cognitive and strategic thinking abilities, preventing skill atrophy in a tech-driven world. Resilience also requires leaders to create a culture that values learning through experience. Rather than shielding teams from challenges by automating solutions, resilient leaders encourage problem-solving, risk-taking, and adaptive learning. By facing difficulties head-on, teams can strengthen their critical thinking and innovation skills.

Balancing AI and humanity: Avoiding RI through the middle way

Buddhist philosophy’s middle way teaches us to avoid extremes and seek balance. In the context of AI and RI, this means integrating technology thoughtfully, ensuring that it complements human effort rather than replacing it. The key to leadership in a tech-driven world is not to reject AI, but to integrate it in ways that amplify human strengths while preserving creativity, empathy, and resilience.

Leaders who follow the Middle Way avoid the extremes of either over-relying on AI or rejecting its benefits entirely. They understand that technology can enhance human potential, but only when used with mindful intention and purpose.

From reverse improvement to mindful progress

Technological progress sometimes can be deceptive. What appears to be an upgrade may, in fact, be a step backward if it causes us to detach from our core human capacities. True progress isn’t measured by how much we automate or accelerate—it’s measured by how much we grow, both individually and collectively.

Mindful leaders will recognize that AI is a tool, not a replacement for human creativity and judgment. We must remain devoted to creating a future where technological innovation drives genuine improvement—not just in productivity but in the development of resilient, purposeful, and empathetic individuals.