Moving the air cargo conversation from what artificial intelligence could do to where it can create real business value.

For several years, artificial intelligence has been discussed as one of the technologies that could transform air cargo. Today, that conversation is changing. AI is no longer something sitting somewhere on the horizon. It is increasingly becoming part of the tools, systems and decisions businesses use every day.

That means the question we need to ask is changing too. Instead of beginning with “Where can we use AI?”, perhaps the more valuable starting point is “What business problem are we trying to solve?” The real opportunity for AI in air cargo will not be measured by how many AI-enabled tools an organization adopts. It will be measured by whether those tools help us make better decisions, improve operations, serve customers more effectively and enable our people to focus their expertise where it creates the greatest value.

From Possibility to Practical Value

Air cargo generates enormous amounts of information every day. Booking patterns, capacity, schedules, shipment milestones, operational performance, customer behavior and market conditions are just some of the data points being created throughout the cargo journey. The challenge has never simply been having information. It is turning that information into something useful and doing it quickly enough to influence the decisions being made.

This is where AI has the potential to become particularly valuable. Imagine being able to identify changes in demand earlier and adjust capacity accordingly, recognize an operational issue before it becomes a disruption, or give teams better information when conditions change unexpectedly. The technology becomes much more interesting when the conversation moves away from what AI can theoretically accomplish and toward the practical challenges it can help businesses solve.

Better Information. Better Decisions.

Forecasting has always been critical in air cargo, but the number of variables influencing demand continues to grow. Changes in trade flows, seasonal demand, e-commerce patterns, geopolitical developments, weather, available capacity and customer behavior can all affect what needs to move, where it needs to go and when it needs to get there.

AI can help organizations analyze larger and more complex sets of information, recognize patterns and support more informed forecasting. The objective is not to predict the future perfectly. It is to give decision-makers better information earlier, allowing them to make more informed choices about capacity, resources and operations. In an industry where conditions can change quickly, that additional insight can make a meaningful difference.

The same principle applies to optimization. Capacity, equipment, warehouse space, trucking connections and people all need to be coordinated across a cargo journey involving numerous organizations and handoffs. Better analysis can help identify inefficiencies, support planning and allow teams to respond more quickly when circumstances change. For airlines, airports, ground handlers, freight forwarders and other stakeholders, even incremental improvements can become significant when applied across thousands of shipments and transactions.

AI does not necessarily need to reinvent every process to create value. Sometimes the greatest opportunity is simply making the processes and resources we already have work better.

Giving People Better Tools

One of the most immediate opportunities for AI may also be one of the least dramatic: reducing the amount of time people spend on repetitive tasks. Air cargo remains an industry with complex documentation, communications, data entry and administrative processes. When technology can help automate routine activities, teams have more time to focus on exceptions, customers, problem-solving and decisions that require experience and judgment.

That distinction is important. The strongest case for AI should not simply be about replacing people; it should be about giving people better tools to do their jobs. Air cargo depends on knowledge built through years of experience. Technology can process enormous amounts of information at extraordinary speed, but understanding the context, relationships and consequences behind a decision remains essential.

The opportunity, therefore, is to combine the two. Technology can help identify patterns, process information and surface insights, while people apply experience, judgment and an understanding of the customer and the wider operating environment. Used well, AI can enhance human expertise rather than diminish its importance.

Moving From Visibility to Foresight

Visibility has been one of air cargo’s persistent challenges, and customer expectations continue to increase. Customers increasingly want to know not only where a shipment is, but whether it is moving as planned, whether something could affect it and what action is being taken when a problem occurs.

AI has the potential to help move visibility beyond simply reporting a shipment’s last recorded milestone. By analyzing information across the cargo journey, technology can help identify anomalies, recognize potential disruptions and highlight shipments that may require attention. Instead of simply telling a customer what happened, the opportunity is to provide greater insight into what may happen next and where action may be needed.

Ultimately, much of the value created by AI will be judged through that customer experience. Customers do not necessarily care whether a better experience was created by AI, automation, improved data or a redesigned process. They care that booking is easier, information is accurate, communication is timely, problems are resolved quickly and their cargo arrives as expected.

That should keep the industry focused on outcomes rather than technology for technology’s sake. If AI helps organizations respond more quickly, provide better information, anticipate customer needs or make it easier to do business, then it is creating value. If it simply adds another layer of complexity, we should be willing to question whether we are solving the right problem.

AI Is Only as Strong as the Foundation Beneath It

There is an important reality behind all of these possibilities: AI is only as useful as the information it has to work with. Air cargo continues to operate across multiple systems, organizations, standards and levels of digital maturity. Data quality, interoperability, governance and the ability to share information appropriately therefore remain fundamental parts of the conversation.

We cannot expect sophisticated technology to compensate indefinitely for fragmented or unreliable information. The AI conversation cannot happen separately from the industry’s broader digitalization journey. If we want better intelligence and better decisions, we need strong foundations, which means continuing to improve data quality, connect systems and create greater interoperability across the supply chain.

This also reinforces why collaboration is so important. A shipment does not exist within a single company’s system from origin to destination. Its journey crosses organizations, technologies and borders. Unlocking the full value of AI will therefore require thinking beyond individual systems and considering how information can support better decisions across the wider cargo ecosystem.

The Most Important Part of the AI Conversation May Be People

Perhaps one of the most important questions surrounding AI is not about technology at all. It is about people and how we prepare them for an industry in which technology will play an increasingly significant role.

As tools change, the skills required within our organizations will change as well. Teams will need to understand how to work alongside new technologies, how to interpret the information they provide and, importantly, when to question it. Organizations will need to create environments where people can experiment, learn and adapt without losing sight of the operational expertise that has always kept air cargo moving.

The future is unlikely to be a choice between technology and people. The greater opportunity lies in bringing them together. Technology can help us work faster and see things we might otherwise miss, while people provide the experience, creativity, relationships and judgment necessary to turn information into meaningful action.

Start With the Problem

So, where should the industry begin? Perhaps the answer is simpler than we sometimes make it. Start with a problem.

Where are we losing time? Where are customers experiencing friction? Where are our teams making decisions without enough information? Which repetitive processes are consuming resources that could be better used elsewhere? Where could earlier insight allow us to act before a problem develops?

Once the problem is understood, we can determine what information is needed, whether the data is available, which technology can help and where human expertise needs to remain at the center of the decision. That creates a much stronger path toward measurable value than introducing technology simply because it is available.

In other words, the journey should begin with the business challenge and end with a better business outcome. Problem. Data. Technology. People. Value. AI is one part of that journey, not the destination itself.

The Conversation Is Coming to Miami

These are exactly the types of conversations our industry needs to have together. At the TIACA Air Cargo Forum 2026 in Miami, leaders from across the air cargo ecosystem will bring different perspectives on AI, digitalization and the technologies changing how we do business. Some will be implementing these technologies, others will be building them, and many will be asking the same questions about where to invest, what to prioritize and how to turn possibility into practical value.

That diversity of perspectives matters because no single company or sector has all the answers. Airlines, airports, freight forwarders, ground handlers, shippers and technology providers experience different parts of the cargo journey and see different opportunities and challenges. Bringing those perspectives together gives us an opportunity to move the AI discussion beyond what is possible and toward what is practical, valuable and scalable.

The most important question about artificial intelligence is no longer whether it will play a role in the future of air cargo. AI is here. The question now is how we use it to create meaningful value for our businesses, our people and our customers.