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What happens when artificial intelligence becomes capable of doing the work, but humans still have to decide what should be done?
In Episode 32 of The Innovator’s Playbook, Seth Narayanan speaks with Twinkle Johnson, technology executive, AI strategist, and founder of Transform AI and Transformer Hub. Drawing on more than two decades in technology, financial services, healthcare, cloud modernization, and enterprise transformation, Twinkle shares an unusually personal journey from engineer to executive to entrepreneur. Along the way, she discusses overcoming a severe lifelong stutter, learning to lead through teams instead of individual expertise, and eventually leaving the security of corporate leadership to pursue a larger purpose.
The conversation then moves into one of the biggest leadership questions of the AI era: How do organizations gain the speed and intelligence of AI without losing human judgment, trust, and accountability? Twinkle introduces her concept of the Human Algorithm, explains why organizations need to redesign workflows rather than simply layer AI onto old processes.
“I had to stop being the smartest person in the room.”
Twinkle began her career deeply focused on technical excellence. As an individual contributor, being the person with the answers helped define her professional identity. But mentorship and cross-functional opportunities gradually changed her view of leadership.
Success stopped being about showcasing her own expertise and became about creating conditions where the entire team could succeed. Her leadership lesson is simple but difficult: your impact becomes larger when you stop needing to be the center of it.
“If I want my voice to be heard, then I had to make some changes.”
Long before she became a technology executive and public voice on AI leadership, Twinkle dealt with a severe speech impediment. She recalls being on client calls where she had to write her response on a whiteboard so that her manager could communicate it for her.
Instead of allowing that limitation to define her career, she deliberately confronted the fear surrounding it. Eventually, the engineer who once struggled to speak in meetings was leading major initiatives, managing vendors and teams.
For Twinkle, confidence did not come from having no obstacles. It came from refusing to allow those obstacles to determine where she could contribute.
“The only AI worth building is the one that honors humanity.”
Twinkle believes enterprise AI should not be measured solely by automation, productivity, or speed.
Her framework, The Human Algorithm, combines three elements:
Human Trust × Machine Intelligence × Governance/Accountability = Sustainable Value
Machine intelligence can recognize patterns, generate content, make predictions, and analyze enormous datasets faster than humans. But humans still bring judgment, moral responsibility, context, and the ability to decide whether something AI can do is something it should do.
Organizations provide the third layer: governance, accountability, transparency, auditability, and standards.
“AI is not a tool.”
One of Twinkle’s strongest warnings is against treating AI like another piece of enterprise software.
Simply placing AI on top of existing workflows may increase output without improving outcomes. Instead, organizations need to rethink how work itself is structured.
The shift is from task-oriented thinking to outcome-oriented thinking.
AI makes generating outputs dramatically easier. The leadership question therefore becomes: Does that output actually create the desired result for the customer, employee, business, or society?
“You’re not managing people. You’re managing agents.”
Leadership models built entirely around human teams may soon become insufficient.
Twinkle describes organizations moving toward several models of work: tasks handled primarily by AI, work where AI augments human judgment, responsibilities that remain human-led, and entirely new roles centered on auditing and validating AI behavior.
Through her Leadership Reboot platform, she is preparing leaders to navigate that environment. Leaders increasingly need to know when to assign something to an AI system, when it requires a person, and when humans and intelligent agents should collaborate.
Her framework encourages leaders to “see the gray, think in the gray, and lead in the gray” because many of the situations emerging around AI have no historical precedent.
“You need to show them that you’re already doing these things, that you’re already working with AI.”
Twinkle also sees the traditional entry-level career model changing.
For graduates entering an increasingly AI-enabled workplace, credentials alone may not be enough. She believes students will need an entrepreneurial edge: experimenting, creating, building, and demonstrating that they already know how to work alongside AI before entering a large organization.
The future employee may not simply compete for a predefined role. They may need to demonstrate how they can combine human creativity, judgment, and AI capability to create measurable value.
Twinkle Johnson is a technology executive, AI strategist, and Fractional CEO at Transform AI and Transformer Hub, with more than two decades of experience in enterprise technology, AI strategy, cloud modernization, DevSecOps, and digital transformation. She previously served as Executive Director of Applied AI/ML and Platform Engineering at Kaiser Permanente and held senior technology leadership roles at Global Payments and TSYS. Twinkle advocates for responsible, human-centered AI, helping organizations align artificial intelligence with governance, trust, and measurable business outcomes. Her work focuses on AI leadership, enterprise transformation, ethical AI governance, and preparing leaders to navigate the evolving relationship between humans and intelligent systems.