The rise of artificial intelligence technology has changed nearly every industry, yet there remains a stark gender gap in AI leadership. As AI continues to reshape industry in real time, it desperately needs more voices from women, like that of Shalima Bhalla, to shape building and deployment going forward.
With more than 20 years of experience spanning AWS, Cisco, Afiniti, Avaya, a Fortune 500 cloud and enterprise technology company, and as the host of the “Customer Signal” podcast, Bhalla has positioned herself at the intersection of AI and customer experience (CX). It is a vantage point that reveals a hard truth: most AI adoption failures trace back to losing sight of the customer, not a lack of technology acumen.
By making room at the table for the perspective of women in AI, organizations laying the groundwork for advanced technologies can begin building customer-centered systems to better serve the public in a more multifaceted, inclusive way.
When customer outcome drives strategy
One only needs to take a look at Bhalla’s career trajectory to see how successful a leader can be when they allow customer outcomes to drive strategy. Bhalla has partnered with independent software vendors to help turn complex platforms into scalable growth. In her current role with a Fortune 500 cloud and enterprise technology company, she continues to drive growth with an emphasis on open architecture, shared data structures, and wide marketplace distribution.
“It’s important to keep AI grounded in real-world use, and I think this is where my perspective as a woman in a male-dominated industry is beneficial,” says Bhalla. “The technology that will be used tomorrow needs inclusive perspectives from both men and women.”
Bhalla’s own perspective has been shaped by the consistent theme of how technology underpins the way teams deliver outcomes. “But we have to remember that no technology replaces the human insight required to understand what customers truly need,” she emphasizes.
As organizations rush to adopt AI technology while glossing over the importance of the customer journey, this practitioner-first mindset remains critical.
Why customer-centric AI leadership can transform enterprise
The stakes in AI leadership have never been higher. However, the risk of “automation-by-default” grows as enterprises sprint to adopt generative AI, automation, and predictive analytics at scale before their competitors.
“Efficiency gains can start to overshadow customer experience design,” Bhalla argues. “It’s where many initiatives begin to fall short.”
When teams fail to answer whether a customer’s problem is actually being solved by AI intervention, speedy AI adoption can fail to be beneficial.
Bhalla focuses on experience-by-design rather than automation-by-default and challenges companies to rethink success metrics beyond resolution time or cost-per-contact. Instead, she encourages prioritizing customer sentiment, loyalty, and the long-term impact on revenue. Many companies may be sitting on a goldmine of interaction data that would allow them to anticipate needs, reduce friction, and drive growth.
“Leaders should begin to prioritize customer signals over technical benchmarks,” Bhalla offers.
The Customer Signal Podcast
One of the most significant ways that Bhalla lends her voice to the AI discussion is through her podcast, “Customer Signal.” Each episode features leaders who are actively implementing AI in contact centers, CX platforms, and enterprise operations, and can speak to what works, what fails, and why in the AI space.
“I think the most important discussions about AI come from the conversations that actual practitioners have, not just white papers,” she says.
Since its first episode, the “Customer Signal” podcast’s YouTube viewership has ballooned to over 70,000 subscribers, underscoring the number of people seeking the perspectives of real-world practitioners in the field and grounded, field-tested insights on the AI boom. With several episodes reaching over 100,000 views, covering topics ranging from how to optimize CX for AI agents to how to effectively innovate at scale in the CX industry, the consistent emphasis on real-world implementation over theoretical frameworks has resonated with a global audience.
Elevating diverse voices: The case for more women in AI leadership
If Bhalla’s career trajectory has illustrated anything, it is that the future of AI leadership needs more women at the table making decisions and guiding initiatives. Women in technology bring a diverse perspective that can challenge groupthink, highlight blind spots others may have missed, and ensure that, in the end, AI serves a broad range of users.
Women remain vastly underrepresented in AI leadership. Bhalla’s visibility as a leader, speaker, podcast host with a growing following, and strategist is helping shift the balance by modeling what inclusive, customer-centered AI leadership can look like.
AI adoption is not just a technical challenge; it is a challenge of strong leadership. As enterprises race one another to adopt the latest AI technologies and integrate them into every facet of their operations, there will be a greater need for leaders who can balance that innovation with empathy, sensitivity to scaling responsibly, and equitable efficiency.
By following the path of women leaders in AI like Bhalla, enterprises can make space for more women who can help shape the future of AI technology.