The latest editions of the America’s Cup, for example, have represented a proving ground for AI’s potential in data analysis and decision-making. During New Zealand’s victorious 2021 campaign, AI was crucial in optimising every aspect of the team's strategy. As one team member put it, “We had the best sailors, the best boat, and the best AI.” This collaboration between top-tier Artificial Intelligence and expert sailors allowed the team to process vast amounts of real-time data — from wind patterns to competitor movements — and make split-second adjustments to their tactics. The result? Faster boats, smarter decisions, and ultimately, victory. As mentioned, the AI tools developed for the America’s Cup have far- reaching applications, with insights and innovations flowing into larger commercial vessels, autonomous ships, and even port management systems.
And so it goes with the Vendée Globe, considered one of the toughest solo sailing races on the planet. Yachts like the IMOCA 60s are equipped with sophisticated data systems powered by AI, which autonomously adjust key operations such as rudder angles. This allows sailors to save crucial mental and physical energy rather than micromanaging every aspect of the boat’s performance. For example, the aforementioned MADBrain autopilot system, which continuously adjusts the course based on changing conditions like wind, waves, and speed, and
SEA.AI, are AI- driven technologies that are laying the foundation for the future of all vessels. These same technologies, tested and perfected in racing, are now set to become standard practice.
Something surveyors might want to keep an eye on is the intersection of AI and robotics. AI-powered robotics could revolutionise boat inspections, a crucial aspect of maintaining the integrity and safety of vessels. Traditionally, inspecting ship hulls and other critical parts of a boat required humans to work in challenging and sometimes hazardous environments. This process was not only time- consuming and expensive but also posed significant risks to personnel. Now AI-powered remotely operated vehicles (ROVs), whether aerial or subaqueous, are transforming the way inspections are carried out. AI-enhanced drones are autonomous robots equipped with a range of advanced sensors and high-definition cameras designed to inspect or from top to bottom. The combination of AI and robotics allows these vehicles to not only gather visual data but also to process it on the fly, identifying issues that might otherwise go unnoticed. Using sophisticated AI algorithms, these vehicles can detect cracks, corrosion, structural weaknesses, or damage to the hull, as well as monitor the condition of vital systems like rudders and propellers. The AI can flag any abnormalities or patterns that suggest emerging issues, prompting early maintenance before they escalate into major problems.
AI
Yet, despite all the promises of Artificial Intelligence, its use in the maritime sector still faces several challenges. Data quality is one of the biggest hurdles. AI systems rely on accurate, timely, and detailed data to function properly. Without high-quality data, AI struggles to make decisions. To make autonomous vessels safer and more efficient, experts like Dr. Hideyuki Ando emphasise that clean data is non-negotiable. For companies like NYK Line, investing in better sensors and infrastructure to collect robust data isn’t just a short-term fix — it’s the foundation for developing advanced autonomous systems. But there's a catch: the maritime industry lacks standardised data compared to other sectors, making it difficult to train AI models effectively.
AI also faces a trust barrier. Crew members are naturally wary about letting AI make critical decisions without understanding how it works. Stena Line’s Michael Ljunge reveals that the company had to reframe their AI system — Captain’s AI — to be seen as an intelligent assistant rather than a replacement for human judgment. This shift in perception has helped increase acceptance onboard, as the AI now supports the captain's decisions rather than trying to replace them.
While the potential benefits of AI in the maritime industry are clear, it’s important to recognise that these technologies are still in their early stages of deployment. AI systems, especially in complex and unpredictable maritime environments, have limitations. Challenges such as data quality, system reliability, and the need for human oversight in decision-making are ongoing considerations. As AI continues to mature, industry leaders will need to navigate these hurdles to fully realise its potential, ensuring a harmonious balance between automation and human expertise.
As AI continues to evolve, its impact on the sector will likely only grow, as the maritime industry will want to stay ahead of the curve in an increasingly tech-driven world. As we have seen, the lessons learned and innovations tested in the competitive world of race boats are directly influencing the future of all maritime operations. Although surveying is intrinsically a hands-on process, AI-powered robotics and insurance matters are developments to watch closely by surveyors. As these technologies become mainstream, they will undoubtedly influence how ships and small crafts are inspected.
Things are moving fast – very fast – and AI is here to stay. But let’s not forget that, up until today, no AI can truly replace a human. And, perhaps, now it’s the time to seriously ask ourselves whether it should ever be.
THE REPORT | MAR 2025 | ISSUE 111 | 137
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