Why isn’t AI being used sufficiently in aviation?

AJet CISO Timur Kadızade answered the question, “Why isn’t AI being utilized enough in aviation?”

Kadızade stated the following:
“By 2026, AI will certainly be a major topic of discussion, though the nature of that conversation will shift. Until now, the AI ​​platforms in use have largely resembled the chatbots used by individual consumers—tools where people could submit specific needs (such as lawyers uploading legal documents or analysts submitting reports) to generate consolidated outputs. In our personal lives, we have turned to these AI platforms—chatbots—for answers regarding decisions we couldn’t make on our own or issues where we needed support. However, I believe that by 2026, the trend will shift toward these platforms communicating with one another and providing proactive suggestions tailored to your lifestyle based on the feedback they generate. Unfortunately, we have not yet begun to utilize AI platforms extensively within the aviation sector. One of the primary reasons for this is that AI platforms are currently hosted in cloud environments, whereas aviation is classified as one of the six critical sectors under our regulatory framework; consequently, we cannot readily migrate to cloud platforms. Instead, we run AI platforms on internal, on-premise systems that we have established ourselves. We are currently engaged in an intensive process of teaching and learning with these AI platforms. We have not yet seen definitive results, largely because accuracy rates are not yet high enough. In aviation, accuracy rates of 70% or 80% are simply not acceptable; these figures need to exceed 95% before we can make extensive use of AI support—specifically regarding aviation operations.” However, for our routine tasks—and especially for work that relies heavily on documentation—we also use AI platforms.

The Future of Artificial Intelligence: Expected Changes in 2026

Artificial intelligence (AI) has revolutionized numerous sectors in recent years, standing at the forefront of technological advancements. By 2026, the scope and impact of AI applications will expand and deepen further. AI platforms, which previously served primarily as chatbots addressing individual user needs, will evolve to offer more integrated and personalized services. This shift implies that AI will function not merely as a system for individual decision support but also as a guide offering recommendations tailored to our lifestyles. In critical sectors such as aviation, in particular, the potential applications of AI—and the challenges associated with them—will shape the future trajectory of this technology.

The Evolution of AI for Individual Users

In the past, AI served as a tool for solving problems encountered in the daily lives of individual users. Legal professionals, analysts, and other experts utilized AI to analyze documents and generate consolidated reports. However, by 2026, AI is expected to move beyond this individual-centric usage; platforms will assume a more proactive role by offering recommendations based on users’ lifestyles.

AI Usage in the Aviation Sector

The aviation sector presents a significant opportunity to harness the potential benefits of AI. However, a primary reason for the lack of widespread AI adoption in this industry is that AI platforms are typically cloud-based, whereas aviation—being a critical sector—has been unable to migrate to cloud platforms. For this reason, AI systems are predominantly operated in on-premise environments.

The Importance of Accuracy Rates

In sensitive sectors such as aviation, AI accuracy rates are of paramount importance. Accuracy rates of 70% or 80% are unacceptable for aviation operations. To be used effectively in this field, AI accuracy rates must exceed 95%. This is a critical requirement for enhancing AI reliability and enabling its greater integration into operational processes.

The AI ​​Learning Process

Effective AI utilization requires a continuous process of learning and teaching. In the aviation sector, AI platforms undergo intensive teaching and learning cycles. This process is vital for improving AI accuracy rates and achieving more reliable results.

AI’s Role in General Cognitive Tasks

AI plays a significant role not only in critical sectors like aviation but also in general cognitive tasks. The use of AI in documentation and other routine duties boosts efficiency and reduces human error. This serves as a prime example of the wide range of applications for AI.

The Future Direction of AI

By 2026, AI is expected to deliver more integrated and personalized services. This implies that AI will function not merely as a system for individual decision support but also as a guide offering recommendations tailored to our lifestyles. This evolution of AI will shape the future trajectory of the technology and its potential use cases. In 2026, artificial intelligence will play a greater role in individual and corporate life by offering more integrated and personalized services. In critical sectors such as aviation, enhancing AI’s accuracy rates and ensuring its reliability will enable the technology to be adopted more widely. The future trajectory of AI aims to ensure more effective and efficient use by addressing both the opportunities the technology offers and the challenges it presents.