AI in Shipping: Cutting 47 Million Tonnes of Carbon Emissions Annually

A recent study conducted by Orca AI, a shipping startup, has unveiled the potential of artificial intelligence (AI) in reducing carbon emissions in the global commercial shipping industry. The study suggests that implementing AI for sea navigation could lead to a significant decrease of 47 million tonnes of carbon emissions each year.

By utilizing AI technology, the need for manoeuvres and route deviations during encounters with high-risk marine targets like vessels, buoys, and sea mammals can be minimized through real-time alerts to the crew. With the shipping industry responsible for moving 90 percent of global trade and contributing 3 percent of the world’s carbon dioxide emissions, experts warn that without stricter pollution control measures, this figure could rise in the future.

The International Maritime Organization has set a target to reduce emissions by 20 percent by 2030, but this goal is currently at risk due to the ongoing Red Sea crisis. Orca AI’s CEO, Yarden Gross, believes that AI can lead to reduced crew members on the bridge, optimizing voyages, and ultimately paving the way for fully autonomous shipping. The study also highlights that by decreasing route deviations, ships could save millions of nautical miles in travel and reduce fuel costs significantly.

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