In this episode, Khushi and Liza dive into how AI is reshaping the workplace, not by replacing people, but by transforming what people spend their time on.

They explore how automation takes over repetitive tasks, freeing humans to focus on creativity, judgment, and collaboration.

The conversation highlights why successful AI adoption is less about tools and more about mindset, trust, and change readiness.

They discuss the importance of transparent systems, strong process foundations, continuous learning, and designing workflows where humans and AI complement rather than compete with one another.

1. AI will automate repetition, not human intelligence.
AI is most effective in handling tasks that are rule-based, predictable, and time-consuming. This frees people to focus on higher-value responsibilities such as strategy, innovation, collaboration, and relationship building. The workplace shift is from task execution to thinking, solving, creating, and reinforcing the value of uniquely human skills.

2. Adaptability is the skill of the future.
Technical proficiency matters, but the most important workforce capability now is adaptability. Employees who are willing to learn continuously and evolve with new tools will move forward. Organizations must foster learning environments that encourage curiosity, experimentation, and skill expansion rather than resistance or fear of change.

3. AI success depends on business alignment, not technology alone.
AI initiatives must begin with a clear understanding of business goals. When organizations deploy AI purely for technical uplift, the outcomes are inconsistent. When they anchor it to measurable objectives like efficiency, decision speed, compliance, cost optimization, outcomes are scalable and repeatable. AI is most valuable when it solves a real operational or strategic problem.

4. Trust and transparency drive adoption.
For AI to be actively embraced, people must understand how outputs are generated. Explainable, transparent systems create confidence and reduce hesitation in usage. Without trust, adoption stalls, regardless of how advanced the technology is.

5. The future workplace is human + AI co-intelligence.
AI accelerates the work. Humans shape the meaning. The future belongs to employees and leaders who use AI as a partner, combining machine efficiency with human judgment to create outcomes that are faster, smarter, and more impactful.

In this episode, Ashish Vinod Singh, Senior Director & Head of ERP at Sunrun, joins Khushboo Bajaj to explore how AI is transforming the future of work, not by replacing humans, but by augmenting human capability.

They discuss the evolution of AI from data science experiments to enterprise-ready systems, how leaders can balance automation with empathy, and why the real ROI of AI lies in empowering people to do more meaningful work.

Key Highlights -

+ Why culture and context matter in AI adoption
+ Balancing efficiency with empathy in digital transformation
+ The shift from automation to augmentation in enterprise AI
+ The evolving partnership between humans and intelligent systems

This conversation is a must-listen for leaders shaping the next frontier of intelligent enterprises.

Tune in now and discover how to lead in the age of augmented intelligence.

The podcast, "From CIO to AI Visionary: Nishit Sahay on Marvell's Tech Transformation and the Future of AI Governance, features guest Nishit Sahay, CIO at Marvell Technology who discusses his journey to becoming an SVP and CIO, emphasizing the shift in his role from an "apps and data person" to someone focused on making the company more efficient through technology. The host is Khushboo Bajaj, ServiceNow leader, InfoBeans.