From Automation to Intelligence

How Robotics and Automation Companies are Evolving Leadership and Organizational Design to
Compete Effectively in a Connected, Adaptive, AI-Driven Market

Robotics and automation companies are entering a new phase of evolution. What were once fixed-function systems designed to execute repeatable tasks are becoming connected, adaptive, and AI-enabled platforms capable of sensing, learning, and optimizing in real time. As a result, the basis of competitive advantage is shifting – from hardware performance alone to the ability to integrate hardware, software, data, cloud infrastructure, and AI into a unified system. In a recent study, BCG found that 89% of manufacturing companies plan to implement AI across their production systems, but only 16% have achieved their AI-related targets, and 98% face challenges scaling AI solutions.

For many companies, this is not simply a technology challenge. It is an organizational and leadership challenge. Traditional structures built around functional excellence in engineering, controls, software, operations, and commercial leadership were designed for a more modular era. In an intelligent-systems environment, however, value is created at the intersections. Product choices affect data quality. Software architecture influences scalability. AI performance depends on sensor integration. Commercial success increasingly reflects lifecycle economics, service models, and customer outcomes.

That reality places new pressure on organizational design. DHR Global’s research reveals that companies need to restructure to enable faster
cross-functional decisions, clearer accountability across the technology stack, and tighter alignment between product development, platform strategy, and go-to-market execution. However, redesigning the organization is only part of the answer.

In DHR Globalʼs view, the more decisive issue is leadership, especially when it comes to building intelligent systems. PwC found that 74% of
manufacturing companies view leadership as the defining factor in the success of major AI initiatives, yet 54% report low confidence in
frontline leadersʼ readiness to lead AI-driven change. Intelligent robotics requires a different leadership model – one that goes beyond deep
functional expertise alone. The leaders best positioned to succeed are those who can operate across domains, connect technical and
commercial priorities, and lead through greater complexity, interdependence, and speed. Breadth is becoming as important as depth.

For boards and CEOs, the key question is no longer just whether the company has the right strategy, technology roadmap, or operating plan. It is whether the business is designed – and led – to execute in a far more integrated environment. Legacy leadership profiles were built for narrower mandates. The next generation of industry leaders must be equipped to orchestrate across functions, not simply optimize within them.

The companies that lead in intelligent automation will not just build smarter systems. They will build the leadership teams, talent pipelines, and organizational models required to integrate those systems at scale.