Podcast Summary
In this episode of the Working Well Podcast, host Tim Borys sits down with Alex Gris, a senior engineering leader at Google and former CTO with more than 20 years of experience across technology, systems, and leadership.
The conversation explores one of the biggest tensions in modern work: artificial intelligence is becoming more powerful every week, but that doesn’t necessarily mean our work, thinking, or organizations are improving at the same pace.
Alex shares a grounded perspective from inside real engineering teams, explaining what actually happens when AI tools enter real workflows and human environments. Together, Tim and Alex discuss the risks of over-reliance on AI, the importance of protecting deep thinking and learning, and what leaders must do to ensure technology strengthens human capability rather than replacing it.
They also explore how organizations can balance efficiency with thoughtfulness, why human judgment remains critical, and what it will take to build a future of work that remains creative, focused, and deeply human.
✅ Key Takeaways
• AI is becoming more capable rapidly, but capability does not automatically translate into better thinking or better work.
• Organizations must be careful not to sacrifice learning and deep understanding for speed and automation.
• Human judgment, reflection, and context still play a crucial role in decision-making.
• Real teams integrating AI tools face practical challenges that are often overlooked in theoretical discussions about AI.
• Leaders must intentionally design environments that preserve focus, learning, and human contribution.
• Efficiency alone is not the goal — thoughtful and human-centered work should remain the priority
Episode Links & Resources
Connect with Alex Gris here:
Website: https://www.alexandrugris.ro/
LinkedIn: https://www.linkedin.com/in/alexandrugris/
Podcast Highlights
Please note: This highlight is generated by a computer and may contain errors.
The Tension Between AI and Better Work
Artificial intelligence is evolving rapidly. Every week new tools appear promising to make work faster, easier, and more efficient.
But speed and capability do not automatically translate into better thinking.
In this episode, Tim Borys explores this tension with Alex Gris, a senior engineering leader at Google and a former CTO with over two decades of experience in technology and leadership.
The central question guiding the conversation is simple but important:
If AI is getting smarter, why aren’t our organizations automatically becoming smarter too?
Alex explains that while AI tools can accelerate output, they do not inherently improve understanding. Real thinking still requires attention, context, and human judgment.
What Actually Happens When AI Enters Real Workflows
Much of the public conversation around AI focuses on possibilities and predictions.
But Alex brings a practical perspective from inside real teams.
When AI tools enter engineering environments, they do not replace human work entirely. Instead, they interact with existing workflows, team dynamics, and leadership structures.
This creates new challenges:
• People may rely on tools without fully understanding the output.
• Teams can prioritize speed over thoughtful problem solving.
• Learning and skill development may be unintentionally reduced.
In other words, technology changes how work happens, but it does not remove the need for human thinking.
Protecting Focus and Learning
One of the most important ideas in the conversation is the need to protect focus and learning.
AI tools can produce answers quickly. But if people stop engaging deeply with problems, they may lose the ability to reason through complex situations.
Alex emphasizes that learning often comes from struggling with difficult problems.
If technology removes that process entirely, organizations may gain speed in the short term but lose capability in the long term.
This is why leaders must intentionally create environments where learning continues to happen.
Human Judgment Still Matters
Another major theme is the role of human judgment.
Technology can generate suggestions and automate tasks, but it cannot fully replace the contextual understanding humans bring to decisions.
People understand nuance, culture, relationships, and long-term consequences in ways machines currently cannot replicate.
As a result, the most effective use of AI is not replacement but augmentation.
When humans remain actively engaged in thinking and decision-making, AI becomes a powerful support tool rather than a substitute for intelligence.
Designing a More Thoughtful Future of Work
The future of work will not simply be defined by efficiency.
Organizations that focus only on speed risk losing creativity, reflection, and human connection.
Instead, leaders must ask deeper questions:
• How do we preserve thinking in an automated world?
• How do we ensure teams continue to learn?
• How do we balance productivity with human development?
The goal should not be a workplace that is only faster.
It should be a workplace that is more thoughtful, more human, and more capable.