At DealMakers 2025 one thing is already clear: the conversation around AI in export finance has changed. AI is no longer talked about because it’s trendy—everyone is talking about it because there is a new pressure to work out how to use AI in day-to-day operations. The interest isn’t driven by hype anymore; it’s driven by the necessity to adopt AI and its efficiencies.

For many organisations, be it in export finance, construction, law, manufacturing or pharmaceuticals, the biggest challenge today is volume. There’s more data to manage, more due diligence to complete, more ESG requirements to meet, more investor requests to respond to, more deals to submit an RFP for; everywhere you look, there is more documentation moving across teams than ever before. The traditional, manual way of working simply isn’t scalable. Historically, processes scaled with people, but with the cost of new hires rising, this cuts into profit margins, and what about the projects you haven’t won yet? The investment into every potential bid is now so much higher.

This is where AI has become such a relevant topic. It offers relief not by adding complexity, but by easing it. Companies are looking for help with time-consuming, repetitive tasks that soak up hours of valuable talent: locating past answers, compiling documents, ensuring consistency, and maintaining quality across every output. These are the pain points that leaders mention most often, and they’re the ones AI is now well-positioned to address.

Platforms like EA Global AI are gaining attention for exactly this reason. Rather than pitching AI as a flashy add-on, we focus on something more grounded: reducing the manual burden. Whether it’s handling ESG questionnaires, due diligence responses, KYCs or RFPs, solutions like EA help teams reuse previous knowledge, streamline collaboration, and minimise repetitive work. It’s not about transforming the business overnight—it’s about making the day-to-day more efficient and more manageable.

Another factor making AI such a hot topic is the increasing pressure on speed. Markets move quickly. Stakeholders expect faster turnaround times. Regulatory cycles are tightening. And opportunities don’t wait. AI is being looked at as a way to meet these expectations without burning out teams or increasing headcount. It gives organisations a way to keep pace sustainably.

What’s interesting at this year’s event is how grounded the AI discussions have become. Instead of talking theory, people are sharing practical examples: time saved, bottlenecks removed, team stress reduced, response quality improved. The conversation is no longer about whether AI will reshape industries someday—it’s about how it can help with the tasks on your desk today.

The takeaway is simple: AI is a priority now because many other companies are already integrating it into their day to day workflows, because the workload has changed, expectations have changed. No longer are decision makers exploring AI out of curiosity—they’re exploring it because they need to integrate AI into their workforce.

EA Global AI offers a realistic, accessible way to lighten the load. The shift toward AI isn’t about a dramatic transformation; it’s about practical improvement. And that’s exactly why it’s such a key topic in 2025.