According to a recent study by Marcura and Thetius, maritime companies are excited about the potential of artificial intelligence (AI) to enhance their operations but face challenges in moving beyond initial trials.
The research indicates that while 82% of maritime professionals are hopeful about AI’s impact, nearly two-thirds express concerns regarding an over-dependence on technology, fearing it may undermine essential human skills and decision-making. Most respondents agree that human oversight is crucial for effective AI performance, particularly in areas like data collection and evaluation.
Surveying over 130 industry experts through interviews and questionnaires revealed a sector grappling with the balance between innovation and practical application. Although 81% of organizations have initiated AI pilot projects, only 11% have implemented formal guidelines for scaling these technologies across their operations.
The findings highlight a strong consensus on the most beneficial uses of AI. An impressive 97% see potential in reducing inefficiencies within manual workflows, while 87% believe AI can enhance contract analysis for charter parties by identifying possible issues early on.
However, concerns persist; approximately 69% worry that AI might overlook critical details in contracts or voyage planning—errors that could lead to significant financial repercussions. Additionally, around 37% reported witnessing failures with AI implementations within their organizations, with nearly one-quarter noting discrepancies between vendor promises and actual outcomes.
The unique characteristics of maritime operations contribute significantly to these implementation hurdles. Generic AI tools often struggle with industry-specific terminology and practices—much like how certain software solutions falter when applied outside their intended context.
“A general-purpose AI might misinterpret ‘SF’ as ‘standard form,’ but in shipping parlance, it refers to ‘stowage factor,’” noted Janani Yagnamurthy from Marcura. “While off-the-shelf solutions can automate basic tasks, they often lack the nuanced understanding required by maritime professionals.”
Skepticism surrounding AI is particularly pronounced concerning legal compliance tasks; despite widespread adoption of such technologies across various sectors—including law—shipping professionals rated their compliance departments as least prepared for current applications due to worries about data governance and regulatory risks associated with misinterpretation by machines.
Custom-built maritime-focused AIs may offer better performance than generic alternatives for these specific needs. For instance, Marcura’s contract analysis tools recently enabled a dry bulk operator to avert over $120,000 in losses by pinpointing missing clauses within an agreement draft.
Despite some successful applications of this technology, many companies remain cautious; only 17% have established clear processes regarding how decisions are influenced by AI systems within their organizations.
“Change naturally brings fears about losing control,” Yagnamurthy remarked. “Experienced maritime professionals have spent years developing judgment under pressure; ideally, the best use of AI is as a supportive co-pilot rather than a replacement.”
A greater familiarity with technology is also necessary: around 38% cited insufficient training as the primary obstacle hindering broader adoption within businesses. Poor implementation coupled with inadequate user education can result in negative outcomes—a sentiment echoed by several respondents who emphasized the need for comprehensive training programs alongside technological advancements: “If crews don’t understand what outputs mean or how to use them effectively,” one ship manager explained during discussions with researchers,” it breeds mistrust.”
