We use necessary cookies to make our website work. We'd also like to use optional cookies to understand how you use it, and to help us improve it.

For more information, please read our cookie policy.

Aerospace AI Landscape

Understanding how AI is emerging across the aerospace ecosystem.

AI is emerging across the entire aerospace lifecycle, from aircraft design and manufacture through to airport operations, maintenance, regulation and customer services.

During the Summer 2026 we worked with Fraser Nash Consultants to develop a baseline understanding of the AI use cases set to emerge across the aerospace landscape. Our analysis shows AI is already delivering value today, while more advanced applications continue to raise important questions around assurance, human factors, governance and trust.

Ideas to reality → People and goods in motion → A safer, more efficient and sustainable tomorrow

Design & Develop

Turning ideas into tomorrow's aviation

AI applications include:

  • Engineering design support
  • Simulation & modelling
  • Digital twins
  • Certification support

Build & Supply

From components to confidence

AI applications include:

  • Manufacturing robotics
  • Visual inspection
  • Quality assurance
  • Production support
  • Supply chain optimisation

Operate (Ground)

Keeping airports moving

AI applications include:

  • Airport operations orchestration
  • Passenger flow management
  • Security screening
  • Ground vehicle automation
  • Turnaround optimisation

Operate (Flight)

Enabling safe, efficient flight

AI applications include:

  • Flight optimisation
  • Crew support tools
  • Air traffic support
  • Autonomous drone operations
  • Future flight concepts

Maintain

Keeping fleets flying

AI applications include:

  • Predictive maintenance
  • Engine health monitoring
  • Automated inspection
  • Maintenance planning
  • Asset optimisation

Assure & Regulate

Trust, safety and compliance

AI applications include:

  • Regulatory knowledge systems
  • Compliance checking
  • Assurance frameworks
  • Evidence generation
  • Digital assurance methods

Serve Customers

A better journey for everyone

AI applications include:

  • Accessibility services
  • Digital assistants
  • Claims processing
  • Travel planning
  • Personalised services

What We've Learned

Key insights from our analysis of more than 200 aerospace AI use cases and stakeholder engagement.

Many current applications focus on improving productivity, operational performance and decision support.

Use cases were identified across design, manufacture, operations, maintenance, regulation and customer services.

Confidence in performance, robustness, reliability and evidence is increasingly important as adoption grows.

The challenge is not simply technology capability. Success depends on effective collaboration between people and AI-enabled systems.

Many emerging challenges span industry, regulators, standards bodies and international partners.


Where Adoption is Heading

AI adoption is progressing, with increasing capability and broader application across the ecosystem.

Delivering Today

Current adoption is most visible in:

  • Operational optimisation
  • Maintenance support
  • Security screening
  • Customer services

Expanding Adoption

Adoption is increasingly extending into:

  • Airport operations
  • Engineering support
  • Air traffic support
  • Digital twins

Future Opportunities

Potential future opportunities include:

  • Advanced autonomy
  • Future flight concepts
  • Integrated digital environments
  • Advanced human-machine collaboration

Evidence Base and AI Use

Extensive stakeholder engagement and analysis of more than 200 aerospace AI use cases has helped build a clearer picture of the emerging aerospace AI landscape.

AI tools were used during this process for data analysis, administrative support, and content generation, following guidelines for safe and responsible AI.


Looking Ahead

This landscape represents a snapshot in time.

Technology, applications and regulatory approaches continue to evolve. The analysis has also highlighted emerging developments and areas requiring further exploration.

AI tools were used in the creation of this infographic. Given that the infographic explores real-world applications of AI in aviation, this approach was intentionally chosen to reflect the topic under discussion. The research findings and editorial oversight remain the responsibility of the UK Civil Aviation Authority and were reviewed before publication.”