AI Needs to Be Controlled Properly: Kyndryl CEO

Kyndryl CEO Martin Schroeter has emphasized the urgent need for robust management and control frameworks as enterprises race to integrate artificial intelligence agents into their core business operations. While the company is actively deploying hundreds of proprietary agents to manage mission-critical infrastructure for global banks and airlines, leadership warns that the transition to AI-driven production environments remains in its early, high-stakes stages.

Key Points

• Kyndryl reports that while employee-led productivity agents have proliferated—reaching nearly 25,000 within the company—agents managing live, production-level infrastructure remain a nascent segment.
• The firm has launched "Agentic Service Management," a new framework designed to bridge the gap between high-speed AI capabilities and legacy IT infrastructure.
• Despite geopolitical volatility and recent internal accounting disclosures, the company maintains its long-term financial guidance for 2028, aiming to triple cash flow and double profits.
• Data sovereignty and operational resiliency remain the primary drivers for corporate IT spending, often outpacing pure AI experimentation.

The Infrastructure Challenge

As businesses rush to adopt generative AI, many are finding that their existing IT foundations are ill-equipped to handle the demands of automated agents. Schroeter compares this technological mismatch to attempting to run a high-speed bullet train on tracks built for a bygone, slower era. Without proper integration, the potential for AI-driven gains is stifled by outdated architecture.

It's like building a brand new bullet train that can go 200 miles an hour, but still running on tracks that were built for 30 miles an hour. That's where agentic service management comes in to give you that control point, to allow you to start to modernize your systems.

To address this, Kyndryl is focusing on "Agentic Service Management," a specialized offering intended to help clients deploy AI agents at scale while maintaining rigorous security and performance standards. By prioritizing control, the firm aims to ensure that autonomous systems function as expected within the high-stakes environments of the world’s largest financial and industrial institutions.

Market Resilience and Strategic Priorities

When asked about the impact of recent geopolitical tensions—specifically in the Middle East—on corporate spending, Schroeter noted that the firm’s customer base remains stable. Because Kyndryl manages the "hearts and lungs" of mission-critical systems, the demand for their services is less susceptible to short-term news cycles and market volatility.

Instead, corporate investment is currently prioritized around three long-term arcs: operational resiliency, data sovereignty, and the strategic rebalancing of private versus public cloud workloads. According to the CEO, the company’s business model is inherently tied to driving efficiency; by optimizing legacy infrastructure, they help clients create the capital necessary to fund their broader AI and modernization initiatives.

Addressing Investor Concerns

Addressing the company’s recent period of volatility, including the departure of its CFO and disclosures regarding material weaknesses in accounting, Schroeter sought to reassure investors. He underscored that the firm is cooperating with the SEC and highlighted a crucial distinction regarding the company’s financial health.

“Keep in mind, there was no financial restatement,” Schroeter stated. “The financial position of the firm is the financial position of the firm.”

Looking ahead, Kyndryl continues to focus on its 2028 targets. The company remains committed to its trajectory of doubling profits and tripling cash flow, positioning itself as a foundational partner for enterprises that must navigate the complexities of AI integration while maintaining the absolute reliability of their global digital infrastructure.