SAN DIEGO – PeopleReign CEO Dan Turchin delivered a pragmatic roadmap for AI-augmented leadership at the SD SIM TECHsurf conference in October 2025, challenging conventional narratives about AI in the workplace. His keynote, “AI and the Future of Work: Human-first leadership… when your colleague’s a bot,” offered IT leaders a framework for using AI to enable employees to do their best work and be more productive, as well as to improve employee experience overall.
Turchin opened by polling the audience about their attitudes toward AI at work and their organizations’ AI fair use policies, making clear that the discussion would focus on practical implementation rather than theoretical possibilities. His central thesis: The question isn’t whether AI will transform work, but how leaders can leverage uniquely human capabilities in an AI-enhanced environment.
The Four Phases of AI Maturity
Turchin outlined AI’s evolution through four distinct phases. Organizations have progressed from the “Forecasting” phase (traditional software handling predictions) through “Conversational” AI (chatbots answering questions) to today’s “Agentic” phase, where AI systems take autonomous action.
The fourth phase, “Metacognition,” represents a significant leap forward – AI systems that co-exist with humans as physical entities capable of self-discovery and self-healing. This progression illustrates a fundamental shift: from routing trouble tickets to drafting root cause analyses, to autonomously onboarding employees, and eventually to self-healing networks. Each phase represents not merely technological advancement but a redefinition of work itself.
From Workforce to Worknet: Organizational Evolution
Turchin introduced the concept of “worknets”–dynamic, skills-based teams that will replace traditional workforce structures. This shift accompanies a transition from a “tell economy” to an “ask economy,” where the ability to formulate questions becomes more valuable than predetermined answers.
His vision for the future of work combines practical automation with strategic human focus: Service delivery will become proactive and location-independent. Offices will feature ambient AI integration. Mundane, repetitive tasks will be automated by default. Meanwhile, activities requiring judgment, empathy, and creative problem-solving will remain distinctly human domains.
Job Creation Through Transformation: The Transportation Model
To address concerns about job displacement, Turchin examined the self-driving vehicle (SDV) sector. Currently, SDVs account for 0.01% of commutes, with 8.1 million people employed in human transport roles. By 2035, he projects a 1500% increase in SDV commute coverage—accompanied not by job losses, but by 103 million new positions in areas including urban planning, data analysis, ethics oversight, and regulatory enforcement.
This example demonstrates a consistent historical pattern: technological revolutions create new employment categories that were previously unimaginable.
Defining the Human Advantage
“What can be predicted is better left to machines. What requires judgment or empathy is better left to humans,” Turchin said, as he described the optimal human-AI partnership. He urged leaders to consider three essential questions:
- How will thinking machines augment human capabilities?
- What could professionals accomplish without the current constraints?
- Which new roles will AI create within specific industries?
The presentation also addressed ethical considerations, mapping a trajectory from current pragmatic concerns (intellectual property, algorithmic accountability) through medium-term challenges (geopolitics, explainability) to eventual existential questions about technological singularity and human identity.
Strategic Priorities for IT Leadership
Based on Turchin’s framework, IT leaders should focus on three key areas:
- Cultivate an Ask Economy Mindset: As AI handles information processing, human value shifts toward curiosity and strategic questioning. Leaders should develop teams that excel at problem identification rather than solution memorization.
- Strategic Automation: Organizations should systematically identify and automate friction points across employee-facing processes—from onboarding to benefits administration to compliance management. This allows humans to focus on strategic initiatives.
- Workforce Preparation: Future success depends on combining technical proficiency with distinctly human traits and capabilities—curiosity, compassion, and empathy. These characteristics will differentiate human contributors from AI systems.
The AI Leadership Pledge
Turchin asked attendees to take the Pledge, and encourage their teams to do the same:
“I will share openly and enthusiastically when and how my work product was augmented or enhanced by AI.”
This simple commitment accomplishes the following:
- Demonstrates we celebrate innovation. No employee should be penalized for using modern tools to do their best work.
2. Gives leaders the inputs required to define and refine appropriate policies related to the responsible use of AI.
3. Inspires everyone across functional areas with ideas about what’s working. It empowers employees while demonstrating they are trusted, respected, and valued.
Turchin concluded with a reminder about the accelerating pace of change: “The pace of innovation has never been faster than it was yesterday and it will never be slower than it is today.”
For IT leaders attending TECHsurf, the presentation offered a clear directive: Success in the AI era requires human-first leadership that embraces technology as an augmentation tool rather than a replacement threat. When artificial intelligence becomes a colleague, human capabilities become the ultimate differentiator.
If you’d like to take the Pledge, and learn more about resources like 1:1 coaching on how to apply the Pledge in your organization and training and certification for your team, visit Take the AI Pledge. For further exploration of concepts in his presentation, Turchin recommends “More than a Glitch” by Meredith Broussard, “Techlash” by Tom Wheeler, and “The AI Dilemma” by Juliette Powell and Art Kleiner.
For AI insights from hundreds of leaders in conversation with Turchin, check out the AI and the Future of Work podcast.
