Radhakrishnan Rajagopalan, Chief Delivery & Technology Officer at Ascendion, said AI-native engineering is transforming how global enterprises manage growth and execution [1].
This shift represents a fundamental change in corporate infrastructure. As AI moves from a peripheral tool to a core operational backbone, companies must rewrite their playbooks to maintain competitiveness and trust during large-scale rollouts [2].
Rajagopalan said these transitions during a CNBC-TV18 "The Titans" session in India, co-presented by PhonePe and Ascendion [1]. He said a landscape where automation is no longer an add-on but the primary driver of enterprise innovation [1].
The urgency for this transition follows a volatile period for the software industry. The software sector lost nearly $300 billion in market value during the first five days of February 2026 [3]. This instability has pushed firms to seek more efficient, AI-driven operational models to stabilize and scale.
Major technology providers are already pivoting toward this agentic future. ServiceNow announced on April 9, 2026, that its entire product suite would be AI-enabled to accelerate enterprise automation [4]. Similarly, Google announced Gemini Enterprise as part of its agentic taskforce on April 22, 2026 [5].
These developments align with a new playbook for trust in enterprise AI rollouts, detailed in reports published April 10, 2026 [2]. The focus has shifted toward creating systems that can execute complex tasks autonomously, while maintaining rigorous corporate standards.
Rajagopalan said that AI-native engineering allows companies to move beyond simple automation toward a model where the technology actively drives the execution of business strategy [1].
“AI is becoming the backbone of enterprise growth, innovation, and execution.”
The convergence of massive market value losses in the software sector and the rapid release of agentic AI tools suggests a critical inflection point. Enterprises are moving away from 'AI-added' features toward 'AI-native' architectures. This transition indicates that the industry is prioritizing autonomous execution and systemic efficiency to recover from previous market volatility and to sustain long-term growth.
