- The maritime industry views AI as essential for safety, efficiency, and long-term growth, but cultural and organizational barriers slow adoption.
- Strong leadership and a clear, top-down strategy are needed to integrate AI into daily operations and long-term planning.
- A people-first approach, with workforce training and AI literacy, is key to building trust and reducing resistance.
- Technology providers must act as trusted partners by ensuring transparency, explainability, and ongoing collaboration.
Artificial intelligence has steadily shifted from being a futuristic idea to a present-day need in the maritime industry. A new study shows that while shipowners and operators recognize the benefits of AI in efficiency and safety, cultural and organizational barriers remain the biggest hurdles to adoption, according to a recent report by the Baltic Exchange.
Building Trust and Strategy for AI Integration in Maritime
Trust gaps, concerns over job displacement, and limited understanding of AI-driven decisions create hesitation across the sector. To address this, the authors call for strong leadership and a clear vision for how AI can enhance—not replace—human expertise. Rather than adopting tools in isolation, companies are urged to integrate AI into long-term strategies that focus on resilience, growth, and sustainability.
Central to this approach is a people-first philosophy, where AI supports human decision-making instead of competing with it. Training and upskilling are essential, ensuring that professionals across all ranks—from captains to engineers—gain confidence in using new systems. By improving AI literacy, the workforce can better understand and trust the tools, reducing resistance and fear. Transparency in how AI systems work, openness to user feedback, and ongoing support are identified as key to building trust. Vendors who demonstrate empathy and explainability are more likely to help operators integrate solutions effectively.
Together, these recommendations form a roadmap where leadership, workforce development, and collaboration with vendors converge. By focusing on trust, transparency, and a shared vision, the industry can move beyond isolated AI trials and make artificial intelligence a core element of maritime operations.
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Source: Baltic Exchange
