Aviation technology specialist Forthcode has published a new industry report examining how artificial intelligence (AI) could reshape airline operations, highlighting a shift from basic digital assistance and chatbots towards AI agents capable of executing tasks across multiple systems.
Titled AI in
Aviation 2026: From Digital Airlines to Autonomous Airlines, the report
explores how AI is evolving from a support tool into an increasingly important
operational capability, helping airline employees make faster decisions, access
critical information and manage complex workflows.
Forthcode argues that
the next phase of adoption will depend less on airlines introducing additional
AI applications and more on embedding intelligence into everyday operational
processes. These include airport operations, disruption management, customer
recovery, ancillary revenue, retail and inflight services.
The report identifies
several factors accelerating adoption, including tighter profit margins,
operational complexity, labour constraints, rising passenger expectations,
regulatory pressures and fragmented legacy technology systems.
Ajith Balakumar, CEO
of Forthcode, said: “There has been enormous attention on generative AI over
the last few years, but aviation is now moving into a much more interesting
phase. The conversation is shifting from what AI can say to what it can
actually do within airline operations. That means connecting intelligence with
airline knowledge, rules, systems and real operational workflows.”
He added “We created
this report to look beyond the hype and highlight where we believe AI can
deliver genuine value for airlines, as well as some of the challenges that need
to be addressed if it is going to be deployed at scale.”
Moving beyond
airline chatbots
One of the report's
central themes is the transition from AI copilots to AI agents and, eventually,
more autonomous airline operations.
Forthcode suggests
most airlines remain at the enterprise search and AI copilot stages, where
technology provides employees with contextual information and decision-making
support. The next stage will involve AI systems executing tasks across airline
platforms, operating within defined boundaries and under human oversight.
Potential applications
extend beyond customer service to include ground operations, disruption
management, regulatory compliance, operational knowledge, catering and inflight
services.
For example, AI could
help airport employees respond more quickly to operational disruptions, support
passenger rebooking and recovery, provide immediate access to standard
operating procedures (SOPs), and assist staff in making increasingly complex
retail and service decisions.
Rather than presenting
an exhaustive list of possible applications, the report identifies operational
priorities and the conditions required for successful implementation.
Developing AI that
works offline
Another key area
examined is the emergence of offline-first AI, which could extend the
technology's capabilities beyond connected airport and back-office environments
and into aircraft cabins.
Forthcode explores how
airline operational knowledge could be synchronised before departure and
accessed by cabin crew through onboard AI assistants, even where internet
connectivity is limited or unavailable.
Potential applications
include cabin crew guidance, passenger services, inflight retail, catering and
safety procedures.
Balakumar added: “Some
of the most valuable airline decisions happen in environments where
connectivity cannot be guaranteed. If AI is going to become a genuine
operational capability, it needs to be available wherever airline employees are
working. Offline AI is just one example of how the technology could develop.
There are many other areas explored in the report that we believe will become
increasingly important to airline leaders over the next two to three years.”
Five priorities for
airline leaders
The report also
outlines a practical framework for airline executives planning their AI
strategies, arguing that success should be measured by operational impact
rather than the number of applications deployed.
It highlights the
importance of establishing strong knowledge foundations, identifying priority
operational areas, defining clear boundaries between human and AI
decision-making, and integrating intelligence directly into existing airline
workflows.
Other considerations
include governance, auditability and systems integration, alongside the need to
convert airline procedures, policies and operational knowledge into structured
information that AI systems can reliably access and use.
The report includes an
AI maturity model, a map of potential enterprise applications, six major trends
shaping airline AI and an assessment of operational areas expected to attract
particular attention between 2026 and 2028.
It also examines
emerging AI platforms and how they can be applied to practical airline
operations.
Through the report, Forthcode aims to provide airline leaders with a clearer understanding of the opportunities and challenges associated with moving towards increasingly autonomous operations, as AI becomes more closely integrated into the systems and processes supporting the aviation industry. -TradeArabia News Service