Aerospace AI: The Future of Aircraft Manufacturing and Supply Chain Management
Discover how AI, particularly Agentic AI, is set to revolutionize the aerospace industry by 2035. Learn why human intervention will still play a critical rol...
Key Takeaways
- Over a third of aerospace executives believe AI will be the biggest driver in aircraft manufacturing by 2035.
- Agentic AI is gaining acceptance but current adoption remains low at 6%, leaving room for significant growth.
- Digital twins and robotics are key enablers for the transformation of the aerospace industry.
- Human intervention will remain critical in the sector, despite the growing role of AI.
Aerospace AI: The Future of Aircraft Manufacturing and Supply Chain Management
The aerospace industry is on the cusp of a technological revolution, driven by the increasing integration of artificial intelligence (AI). A recent study by Tata Consultancy Services (TCS) reveals that over a third of aerospace executives expect AI to become the most significant driver in aircraft manufacturing by 2035. This shift is not just about incremental improvements but a fundamental transformation of the sector.
The Rise of Agentic AI
One of the most promising areas of AI in aerospace is Agentic AI, which can autonomously manage complex systems, including supply chains. According to the TCS Future-Ready Skies Study 2025, nearly two-thirds of executives are willing to allow Agentic AI to manage their future supply chains. However, current adoption remains minimal, with only 6% of respondents currently engaging with this technology. This gap highlights a significant opportunity for innovation and growth.
The Foundation of Connected Data
Steve Lucas, Chairman and CEO of Boomi, emphasizes the importance of a robust data foundation for the success of Agentic AI. 'Agentic AI can only succeed when it’s built on a strong foundation of connected, reliable data. By integrating and connecting everything across their complex ecosystems, companies can accelerate decisions, scale innovation, and turn complexity into a true competitive advantage,' he stated. This underscores the need for comprehensive data management strategies to fully leverage AI's potential.
Key Enablers: Digital Twins and Robotics
While Agentic AI is a critical component, it is not the only technology reshaping the aerospace industry. Digital twins and robotics are also playing pivotal roles. A digital twin is a virtual model of a real-world physical object, providing real-time insights and predictive analytics. This technology can enhance maintenance processes, reduce downtime, and optimize performance. Robotics, on the other hand, is automating manufacturing processes, improving precision, and increasing efficiency.
Human Intervention: Still Critical
Despite the growing role of AI, the survey found that three-fifths of respondents believe human intervention will remain critical in the sector. This highlights the importance of a balanced approach, where AI and human expertise work together to achieve optimal outcomes. Anupam Singhal, President of Manufacturing at TCS, noted, 'Today, ambition is redefined as AI moves from supporting operations to shaping enterprise strategy—advancing passenger experience, safety, and sustainability.'
Projections and Challenges
The global aerospace market is expected to surpass $1 trillion by 2030, driven by technological advancements and increasing demand. However, fewer than 2 in 5 respondents believe that aircraft manufacturing operations will be 'lights out' by 2032, where high levels of automation are used with minimal human interference. This suggests that while AI is advancing, there are still challenges to overcome, particularly in terms of integration and workforce adaptation.
The Bottom Line
The integration of AI, particularly Agentic AI, digital twins, and robotics, is set to revolutionize the aerospace industry. While the future looks bright, it is clear that human expertise will continue to play a crucial role. By embracing these technologies and addressing the challenges, aerospace companies can position themselves for long-term success in a rapidly evolving market.
Frequently Asked Questions
What is Agentic AI, and how is it used in the aerospace industry?
Agentic AI is a form of AI that can autonomously manage complex systems, including supply chains. In the aerospace industry, it can optimize inventory levels, streamline logistics, and enhance decision-making processes.
Why do aerospace executives believe human intervention will remain critical?
Despite the growing role of AI, aerospace executives believe that human expertise is essential for complex decision-making, problem-solving, and ensuring safety and quality in aircraft manufacturing.
What are the main challenges in adopting AI in the aerospace industry?
The main challenges include integrating AI with existing systems, ensuring data reliability and security, and adapting the workforce to new technologies. There is also a need to balance automation with human oversight to maintain safety and quality.
How is the global aerospace market expected to grow?
The global aerospace market is projected to surpass $1 trillion by 2030, driven by technological advancements, increasing demand, and the integration of AI and other innovative technologies.
