Leading Through Turbulence: Empathy, AI Workflow Economics, and the New IT Playbook | DisrupTV Ep. 451
Leading Through Turbulence: Empathy, AI Workflow Economics, and the New IT Playbook | DisrupTV Ep. 451
In an AI-driven world that is turbulent, over-hyped, and deeply human all at once, the leaders who will define the next era are those who can hold empathy and decisiveness together — and who know the difference between deploying AI and actually monetizing it.
Key Takeaways
- Empathy is not softness — it’s information gathering. Understanding context, perspective, and human impact makes leaders better decision-makers, not weaker ones. Maria Ross reframes empathy as a performance multiplier.
- Clarity is an act of empathy. Leaving people in ambiguity keeps them in fight-or-flight mode, which kills creativity, performance, and willingness to change. Over-communicating direction is not over-managing — it’s leading.
- Joy is not a nice-to-have. It’s neurological. Without dopamine, people cannot be open to novelty, learning, or change. David Bray’s crisis-tested lesson: if your team can’t crack a smile, they are not ready to absorb what’s coming next.
- Agency is the antidote to chaos. In crisis and in transformation, involving teams in the why and the where we’re going gives them the psychological grounding to act rather than freeze.
- True AI ROI only happens when you change the economics of a specific workflow. Hiral Chandrana’s framework: the workflow is the work being done in a real industry context; the economics are the levers you move. If AI doesn’t change those levers, it’s not monetized — it’s just a demo.
- Healthcare alone represents a massive untapped AI opportunity. ~25% of U.S. healthcare spend is administrative overhead. Areas like revenue cycle management have seen only 10-15% cost reduction despite years of tech investment. Chandrana sees 50-60% reduction potential with better AI-driven workflows.
- The CIO must become a growth partner, not just an infrastructure owner. CIOs who speak the language of P&L, industry workflows, and outcome economics are the ones earning seats at the strategy table — and being considered for CEO and CSO roles.
- We’ve moved from shadow IT to Eclipse IT. AI isn’t just an unsanctioned tool lurking in the background — it’s eclipsing everything. Jason James’s framing captures how fast AI is outpacing traditional IT governance structures.
- There is no perfect M&A — or perfect AI deployment. The point of a playbook is not to eliminate uncertainty but to give teams a framework they can adapt as reality diverges from the data room. Grit and adaptability matter more than having all the answers.
- “I can” beats IQ. James’s hiring philosophy for turbulent environments: he wants people who step up, learn fast, exercise good judgment, and persist — not just people with the highest credentials.
What Empathy at Work Actually Means
Maria Ross opens with the tension every modern leader feels but rarely names clearly: they are expected to support people and deliver results, often simultaneously and at speeds our brains were not built to sustain. She calls this the empathy dilemma — the struggle to balance genuine human support with the hard reality of performance, accountability, and decisions that will not please everyone.
Her reframe is important for analytically minded leaders who are skeptical of empathy as a leadership concept: empathy is not about being soft or touchy-feely. It is information gathering. It is understanding context well enough to make better decisions. As she puts it:
“Empathy is the ability to see, understand, and where appropriate feel another person’s perspective — and then use that information to take the next right step.”
From hundreds of interviews and years of research, Ross distilled five pillars of empathetic and effective leadership. Self-awareness is the foundation — you cannot make space for others’ perspectives if your ego is filling the room. Self-care is next, because leaders who neglect their own energy and boundaries quickly become burned-out bottlenecks. Clarity is the third pillar — leaving people in limbo keeps them in fight-or-flight, which kills creativity and performance. Decisiveness is fourth: empathy is not about avoiding tough calls; it is about making hard decisions with an understanding of human impact and designing support around them. And finally, joy — the surprising pillar — because levity, camaraderie, and small moments of connection matter even in hard work.
Clarity Is an Act of Empathy
Ross emphasizes one insight above the others: clarity is empathy. Ambiguity is not neutral. When leaders under-communicate strategy, rationale, or expected impacts, they leave people in survival mode. That is not kindness — it is abdication.
This is especially consequential in workforces that now span five generations, where assumptions about what professionalism means, how communication should flow, and what success looks like can differ dramatically. Leaders who over-communicate context and direction are not micromanaging. They are removing the friction that silently drains performance.
Three Actions for CEOs and Boards
Ross distills her advice for senior leaders into three concrete actions. First: take a beat and actually listen. Put the ego aside, resist the urge to hide behind a laptop or send another email, and use cognitive empathy — even without emotional investment — to understand what it is actually like from the employee’s point of view.
Second: lean into clarity as an act of leadership. Don’t assume shared definitions. Over-communicate the strategy, the rationale, and the human implications. Third: make tough decisions — but design them with human support built in. The question is not how to avoid a decision that hurts. It is how to help people through. Sometimes that is as simple as creating structured space for people to be heard before being redirected. Ignore this, Ross warns, and you are rowing against the current of human psychology and change fatigue, making your own job as a leader significantly harder.
What 9/11 and the Anthrax Attacks Taught About Leadership
David Bray brings a crisis-tested lens to empathy and leadership. On the morning of 9/11, he was scheduled to brief the CIA and FBI on technology responses to a hypothetical bioterror event. When the attacks happened, that planning became real-time crisis response — followed weeks later by the anthrax incidents that compounded the pressure on every national security and public health institution involved.
From those experiences, and from subsequent work in bioterrorism preparedness and national security, Bray surfaces several enduring lessons about what separates leaders who stabilize from leaders who compound the crisis.
People Bring Distraction and Fear to Work
Bray’s first lesson is one most organizations pretend is not true: employees arrive carrying global crises, local pressures, and personal worries in their heads. Leaders who design for the fiction of the fully-focused, undistracted worker create the conditions for tunnel vision, reactivity, and burnout. The reality of human cognitive load is not a HR problem. It is a leadership problem.
Without Joy, People Cannot Absorb What’s Coming
In turbulent environments, Bray actively watches for signs that his teams can still find moments of lightness. His reasoning is neurological as much as cultural:
“If they can’t crack a smile, they’re not getting the dopamine they need to be open to the new.”
That openness is not a nicety. It is the prerequisite for adopting new technologies, embracing new strategies, and resisting the doomerism that narrows what leaders believe is possible. This connects directly to Maria Ross’s fifth pillar: joy is not a soft add-on. It is a neurological enabler of learning and change.
Agency Is the Antidote to Chaos
Bray’s most actionable lesson is about agency. In crisis conditions — and in transformation — the instinct is for leaders to assert control, make unilateral decisions, and project certainty. But that instinct often compounds the chaos.
His alternative: start with why. Why are we here? Where do we want to go together? Involving teams in those questions gives them psychological grounding and a sense of co-ownership over the path forward. The alternative — leaders who panic, call in unprepared advisors, and make consequential decisions without understanding the system they are in — routinely compounds crises that could have been contained.
The Framework: Workflow Economics
Hiral Chandrana shifts the conversation from human dynamics to how AI actually creates measurable enterprise value. His framing is direct: true ROI from AI only happens when you change the economics of specific workflows.
He calls this industry workflow economics. The workflow is the actual work being done in a specific industry context — healthcare claims processing, freight pricing, revenue cycle management. The economics are the levers you can move: cycle time, cost to serve, top-line impact, margin, risk reduction. AI monetization, in this framing, is simply accountability at the workflow level. If AI does not change those levers in a measurable way, it is not monetized. It is a demo.
Healthcare: A Case Study in Untapped AI Potential
Chandrana highlights healthcare as one of the most significant opportunities. Approximately 18% of U.S. GDP flows through healthcare, and roughly 25% of that spend is pure administrative overhead — an enormous burden that technology has been promising to reduce for decades.
One concrete example: propensity-to-pay modeling in collections. Despite years of technology investment, many areas have seen only 10 to 15% cost reduction. Chandrana argues there is potential to cut certain costs by 50 to 60% with better AI-driven workflows — but only if the analysis is micro-level and industry-specific, not generic. That requires strong data foundations, cyber resilience, and what he calls proof economics: showing measurable changes in specific workflow metrics, not just aggregate efficiency claims.
Physical AI and the Industrial Opportunity
Beyond the administrative layer, Chandrana points to what he calls physical AI — the convergence of hardware, software, and models in robotics, autonomous vehicles, and industrial automation and logistics. These are capital-intensive and technically hard problems that require deep simulation, robust data pipelines, and tight integration between physical and digital systems. But they also represent billions of machines likely to be built and deployed over the next decade, making them one of the most significant and still-underexploited AI opportunities on the horizon.
The CIO as Growth Partner
As AI moves from experimentation to execution, Chandrana argues the role of the CIO must evolve. The CIOs who will define the next generation of technology leadership are not those who see themselves primarily as owners of infrastructure and security. They are those who become genuine growth partners — thinking in terms of industry workflows and outcome economics, understanding end-to-end processes well enough to identify where AI can truly change the numbers, and speaking the language of P&L rather than IT budget.
That combination of technology acumen and business acumen is what earns a seat at the strategy table — and, increasingly, what opens pathways to CEO and Chief Strategy Officer roles for technology leaders willing to make that shift.
The Hidden Phase of M&A: Pre-Deal Secrecy
Jason James — CIO of Aptos and author of Make IT Work: An IT Playbook for Mergers and Acquisitions — shines a light on the phase of M&A that most playbooks ignore: the hush-hush period before a deal is announced. Code-named projects, unusual executive behavior, closed-door meetings, and the ever-present risk of accidental leaks — including, in James’s own experience, emails accidentally addressed to the wrong Jason J. — define this period.
Leaders must balance necessary secrecy, to avoid spooking markets and teams, with thoughtful communication timing. For most employees, M&A is not a source of celebration. It is a source of anxiety. The leader who forgets that is setting up a harder integration than they need to have.
From Shadow IT to Eclipse IT
For years, CIOs dealt with shadow IT — unsanctioned tools adopted by business units operating in the dark. James argues that AI has pushed organizations into a fundamentally new phase he calls Eclipse IT:
“AI isn’t just a shadow. It’s eclipsing everything we do.”
AI capabilities are being embedded into every enterprise tool. Organizations are rapidly increasing the number of agents in production. Traditional IT oversight is being outpaced by AI’s proliferation across the stack. The response, James argues, must combine transparency and empowerment with AI-enabled defenses — particularly in cybersecurity, where the same AI capabilities that create risk also enable better monitoring, access control, and hygiene at scale. And it requires what he calls adults in the room: experienced enterprise leaders who understand risk, controls, and regulatory expectations well enough to govern AI rather than simply adopt it.
No Perfect Playbook — But You Still Need One
Perhaps James’s most important message is also his most honest: there is no perfect M&A, and there is no perfect AI deployment. Data rooms rarely match post-close reality. Policies sometimes appear suspiciously fresh. Surprises under the rocks are inevitable.
The point of a playbook is not to eliminate uncertainty. It is to give teams a starting framework, build a culture of adaptability and learning, and create structures that can flex as facts on the ground diverge from the plan. The leaders who navigate this best are not those with the most complete information. They are those with the most adaptive teams.
When hiring for these environments, James prioritizes what he calls grit and growth over pure credential: he wants people who will step up and say they can do it, learn fast, exercise good judgment, and persist through the inevitable surprises. His shorthand: I can beats IQ.
Final Thoughts
This DisrupTV episode brings together four leaders whose work spans human psychology, national security crisis response, enterprise AI strategy, and M&A IT leadership — and finds a single coherent argument running through all of it.
Maria Ross and David Bray establish the human foundation: that leaders who ignore the neurological and emotional reality of the people around them are not just being unkind — they are making their own jobs harder. Clarity reduces the survival-mode thinking that blocks change. Joy and agency are not soft values; they are the prerequisites for the kind of openness to novelty that AI adoption and organizational transformation actually require.
Hiral Chandrana and Jason James translate that foundation into execution. AI value is not in the model — it is in the workflow economics that the model changes. IT leadership is not about infrastructure stewardship — it is about being a growth partner who speaks the language of outcomes. And no playbook survives first contact with reality unchanged, which is why grit, adaptability, and the willingness to say “I can” matter more than having all the answers at the start.
In an era with no historical precedent for what agentic AI is enabling, the leaders who will define what comes next are those who can hold empathy and decisiveness together, combine technical depth with human insight, and continuously bring their teams back to the question that David Bray asks in every crisis: why are we here, and where do we want to go — together?
“In an era with no historical playbook, leadership will be defined by those who can hold empathy and decisiveness together — and who know that AI value lives in workflows, not in slideware.”
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Your Hosts
R “Ray” Wang is the CEO of Silicon Valley-based Constellation Research Inc. He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and blogs at www.raywang.org. His ground-breaking best-selling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015. Ray's new book about Digital Giants and the future of business, titled, Everybody Wants to Rule The World was released in July 2021. Wang is well-quoted and frequently interviewed by media outlets such as the Wall Street Journal, Fox Business, CNBC, Yahoo Finance, Cheddar, and Bloomberg. Short Bio R “Ray” Wang (pronounced WAHNG) is the Founder, Chairman, and Principal Analyst of Silicon Valley-based Constellation Research Inc. He…...
Read moreElle is the Director of Marketing at Constellation Research and producer of the weekly enterprise tech show, DisrupTV. She leads marketing and communications efforts across all avenues while also managing an array of programs including the SuperNova Awards, Business Transformation 150, AX100, AI150, S50 and ShortLists. She has previous experience in public relations and has a strong passion for the marketing world. Contact Elle at [email protected] ...
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