Empathy AI leaders need is not a soft skill—it is the foundation of responsible artificial intelligence adoption, according to Shana Simmons, Chief Legal Officer at Zendesk. In a landscape where companies race to deploy AI systems, Simmons argues that the leaders steering these decisions must prioritize human understanding over raw capability.
Key Takeaways
- Empathy is essential for AI leaders making decisions that affect customers and employees.
- Privacy-first governance and design are non-negotiable in responsible AI deployment.
- Character and agency determine how companies use AI ethically, not just technical expertise.
- Customer obsession and trust must be at the forefront of AI strategy.
- Understanding regulations and customer needs are equally important for leadership.
Why Empathy Matters More Than Technical Prowess
Empathy AI leaders cultivate shapes how their organizations approach AI adoption. Simmons emphasizes that understanding your customer is not optional—it is foundational. Too many companies treat AI as a technology problem to solve rather than a human problem to navigate. The difference matters enormously. A leader who understands customer needs will design AI systems that respect boundaries, maintain control, and build trust. A leader focused purely on efficiency will optimize for speed and scale, often at the expense of the people affected.
The distinction extends beyond customer relationships. Simmons argues that empathy informs every decision a leader makes about AI governance, from privacy architecture to feedback mechanisms. When leaders truly understand the concerns of their teams, their customers, and the broader public, they make fundamentally different choices about what AI systems to build and how to deploy them. This is not sentiment—it is strategy.
Privacy-First Governance as a Leadership Imperative
Privacy-first culture and governance are the structural embodiment of empathy in AI organizations. Rather than treating privacy as a compliance checkbox, Simmons frames it as a statement of values. Companies that build privacy into their AI systems from the start—not as an afterthought—signal that they respect user autonomy and data dignity. At Zendesk, this means designing for customer control, accuracy, feedback, and transparency from the ground up.
This approach contrasts sharply with organizations that deploy AI systems quickly and add privacy safeguards later, if at all. The difference is not merely technical. A privacy-first architecture reflects a leadership mindset that prioritizes trust over velocity. Simmons suggests that any leader, not just those in legal roles, must understand both the regulatory landscape and their customer’s perspective to make sound AI governance decisions.
Character and Agency in an AI-First World
Empathy AI leaders demonstrate extends to how they empower their teams and customers to shape AI use. Simmons points to character and agency as critical traits in an AI-first world. Character means making decisions aligned with values, even when faster alternatives exist. Agency means giving customers and employees genuine control over how AI systems affect them, rather than imposing AI as an inevitable force.
Simmons has stated that responsibility ultimately rests with individuals and organizations to determine how to use AI to make the best version of themselves. This framing rejects the notion that AI adoption is deterministic or that leaders are passive recipients of technological change. Instead, it positions leaders as active agents responsible for steering their organizations toward ethical, empathetic AI practices. The shift from passive acceptance to active choice is where real leadership emerges.
Building Customer Obsession, Not Just Customer Satisfaction
Customer empathy, customer obsession, and customer trust sit at the forefront of Zendesk’s AI strategy. This is not marketing language. Simmons argues that companies serious about responsible AI must genuinely understand what customers fear, what they value, and what they need from AI systems. Obsession means going deeper than surveys or focus groups—it means building feedback loops into AI systems themselves, allowing customers to shape how those systems behave over time.
Organizations that treat empathy as a leadership priority will naturally gravitate toward transparency about how AI works, what it can and cannot do, and how customers can maintain control. This stands in contrast to companies that view AI primarily as a competitive advantage to be protected and optimized. Both approaches are valid business strategies, but they reflect fundamentally different leadership philosophies.
Is empathy a measurable leadership trait for AI teams?
Empathy is difficult to quantify, but its effects are observable in organizational outcomes. Leaders who prioritize empathy tend to build more trustworthy AI systems, experience fewer customer backlash incidents, and maintain stronger team morale during rapid AI adoption. Simmons argues that empathy should be evaluated as part of leadership assessment, particularly for roles overseeing AI strategy and governance.
Can companies adopt responsible AI without legal expertise?
Yes. Simmons emphasizes that understanding regulations and customer needs is not exclusive to Chief Legal Officers. Any leader can develop the knowledge and mindset required to govern AI responsibly. What matters is the commitment to empathy, privacy-first thinking, and genuine customer understanding. Legal expertise helps, but it is not a prerequisite for ethical AI leadership.
How does empathy-driven AI differ from efficiency-driven AI?
Empathy-driven AI prioritizes customer control, feedback, and transparency, even if those features slow deployment. Efficiency-driven AI optimizes for speed and scale. Simmons argues that companies choosing empathy will build stronger long-term customer relationships and avoid governance pitfalls that efficiency-first approaches often encounter.
The case for empathy as a leadership superpower rests on a simple observation: AI systems that respect human agency and prioritize trust outperform those built purely for optimization. As AI adoption accelerates across industries, the leaders who understand this will shape the technology’s trajectory. Empathy is not the opposite of business success—it is the path to it.
Edited by the All Things Geek team.
Source: TechRadar
