In a candid take on the evolving role of Artificial Intelligence (AI), Sridhar Vembu, founder and chief scientist of Zoho Corporation, has urged software engineers to double down on domain expertise, arguing that coding alone will not define success in the AI era.
Domain expertise takes centre stage
Vembu’s message to developers is clear: programming remains foundational, but it is deep domain knowledge that ultimately drives customer value. In an AI-augmented world, clients are not just paying for code, they expect reliability, security, compliance and robust support. These, he suggests, are areas where human expertise continues to hold a decisive edge.
AI productivity debate: Prototype vs product
Weighing in on the much-debated productivity gains from AI, Vembu strikes a balanced note. While AI tools can dramatically accelerate the creation of working prototypes, the journey from prototype to a fully finished, production-grade product remains complex. Several stages, especially those involving quality, compliance and customer experience, cannot yet be meaningfully compressed by AI.
His advice to engineering teams: don’t obsess over narrow productivity metrics. Instead, leverage AI to deliver a significantly superior customer experience.
Cutting through software complexity
Vembu also points to AI’s potential to eliminate what he calls “needless or incidental complexity” in software systems. By simplifying development layers and automating routine intricacies, AI could help teams focus on what truly matters, solving real customer problems more effectively.
A pushback on “Universal High Income”
In a separate exchange responding to Elon Musk, Vembu challenged the idea of a future driven by “Universal High Income”, a system where governments pay citizens as AI replaces most human labour.
He argues that such a scenario rests on two debatable assumptions: a massive surge in output with minimal human input, and the absence of corresponding price declines. In reality, Vembu believes that increased supply would naturally drive prices down—unless monopolistic forces are allowed to intervene. Enforcing anti-monopoly laws, he notes, would be sufficient to keep markets competitive.
The human role in an AI-saturated future
Looking beyond economics, Vembu offers a grounded vision of human purpose in an AI-dominated world. Even if machines take over large swathes of work, he sees enduring, and even elevated, roles in areas like caregiving, education, agriculture and spiritual life.
Tasks rooted in empathy, culture and human connection, he suggests, are unlikely to be ceded to machines. In fact, professions such as teachers, nurses and caregivers could gain prominence and better compensation as society places greater value on distinctly human contributions.