The maritime industry faces a massive shift. At the recent Geneva Dry conference, experts gathered to discuss artificial intelligence and its impact on the dry bulk workforce. Moderator Cynthia Worley opened the session with a fitting tune: REM’s classic song about the end of the world. Her message to the room was clear. Whether we view AI as a gift or a threat, it has arrived, and we must learn to work with it.
The Governance Gap
The panel tackled a tough issue right away. Are shipping firms rolling out AI before they know how to manage it? The experts split on the answer. Alberto Perez and Jonathan Canaan felt that rollout outpaces responsibility. Alex Albertini and Ingrid Kylstad disagreed. Meanwhile, Scott Bergeron gave a blunt view. He noted that most companies just want to get AI working and have not even thought about governance yet.
Worley shared a stark warning for the audience. The EU AI Act takes full effect soon. Companies that fail to control their AI processes face heavy fines, reaching up to €35 million or 7% of their global revenue. Surprisingly, almost no one in the room knew this rule was coming.
Defining Responsibility
How do we handle these new risks? Perez explained that companies must define what the AI does, map its boundaries, and understand its limits.
Bergeron compared AI to early ship radar. Radar let crews see through the fog, but ship collisions still happened. He shared a deeper worry about the future. In ten years, who will check the AI’s math when all the human experts retire?
Kylstad argued that AI changes everything because we do not truly grasp how it works. Even its makers cannot always explain its choices. She urged leaders to find the weak spots in their AI tools and build safe processes around those specific flaws. Her company recently skipped hiring a new analyst because their current staff could use language models to do the exact same work.
People First, Not Replacements
Despite the tech boom, shipping remains a business built on relationships. The panel agreed that AI should boost human skills, not replace workers.
Albertini stressed that AI gives us a chance to help our teams grow. He pointed out a funny double standard. We gladly hire humans who are right only a fraction of the time, so we should judge machines fairly.
If you view AI only as a way to cut staff, you will run into trouble. Introducing new tech brings growing pains. Albertini warned the crowd about fearful employees. If your team fears losing their jobs, they might quietly block or ruin new AI projects. Managing this human element matters just as much as the software you buy.
Real-World Value
The experts shared exactly how they use AI to get ahead right now:
- Sorting through massive piles of messy company emails to find hidden trends.
- Turning rough ship inspection photos and notes into neat, professional reports in seconds.
- Helping trading teams shift from reacting to daily news to thinking ahead.
- Building software test products for a fraction of the normal cost.
When asked about cheap AI agents replacing costly human choices, Albertini advised caution. An AI tool that costs one dollar today might cost a thousand dollars tomorrow. Relying purely on that price gap is a huge risk for your business.
The session closed right where it started. The world as we know it might be changing, but if we adopt these tools wisely, we will be just fine.