How should we navigate the future of work in the aviation sector in the age of artificial intelligence? Arpad Szakal of executive search firm Cormis Partners examines the trends and offers some strategies
The pandemic has fast-tracked digital transformation across numerous industries, and aviation is no exception. Airlines and airports are increasingly leaning on data analytics to streamline operations, elevate passenger experiences, and uncover new revenue opportunities.
This shift to a data-centric approach has spurred a growing demand for a wide range of roles such as data analysts, business intelligence specialists and revenue management experts.
Around the world, airlines and airports are pouring resources into advanced analytics platforms to fine-tune flight schedules and enhance customer service. Some industry players are also integrating data analytics with sustainability initiatives.
The aviation industry is amid a significant transformation as artificial intelligence (AI) and predictive analytics become integral to operations.
From optimising flight routes to enhancing customer experiences, AI is fundamentally changing how airlines and airports operate. For mid- to senior-level professionals, this evolution brings both challenges and opportunities. Understanding these changes and strategically positioning oneself for the future is crucial.
Opportunities and career strategies
AI’s growing presence in aviation is reshaping traditional roles. Tasks that once required manual input are now being automated, making operations more efficient.
For example, predictive maintenance systems powered by AI can foresee equipment failures, reducing downtime and improving safety. Similarly, AI-driven data analytics are optimising flight schedules, cutting fuel consumption and boosting passenger satisfaction.
But this shift doesn’t mean roles are disappearing – they’re evolving.
The focus is moving from day-to-day operations to strategic decision-making. Professionals are now expected to leverage AI tools to make more informed decisions, manage AI-driven systems and interpret data insights that drive business outcomes.
As a result, there’s a growing need for leaders who not only grasp the technical aspects of AI but also understand how to integrate these technologies into broader business strategies.
The emergence of new roles
As AI continues to become ingrained in the aviation industry, it’s not just improving existing processes: it is creating entirely new roles designed to harness its potential. These roles are becoming essential as airlines and airports aim to stay competitive in an increasingly data- and technology-driven landscape.
One of the most critical new roles is that of the AI integration specialist. These professionals ensure that AI systems are seamlessly incorporated into existing aviation operations, working closely with IT and operations teams to tailor AI tools to specific business needs.
For example, at Delta Air Lines, AI integration specialists have played a key role in implementing AI-driven baggage tracking systems, significantly reducing lost luggage incidents. By customising AI solutions that align with the airline’s operational goals, these specialists are crucial in boosting efficiency and customer satisfaction.
Data scientists and analysts have also become indispensable in the aviation sector. With AI systems generating vast amounts of data, there’s a growing need for experts who can analyse this data and extract actionable insights.
For instance, Southwest Airlines employs data scientists to examine customer data and optimise flight schedules. By understanding booking patterns and passenger preferences, these professionals help the airline improve load factors and reduce operational costs, driving both innovation and efficiency.
As AI becomes more widespread, the need for ethical oversight and governance has led to the creation of roles such as AI ethics and governance officers. These professionals ensure that AI systems are used responsibly, addressing critical issues like data privacy, algorithmic bias and regulatory compliance.
At London’s Heathrow Airport, AI ethics officers oversee AI systems used in security screening, ensuring that these technologies operate fairly and without bias. This role is essential in maintaining public trust and ensuring that AI contributes positively to the industry.
The adoption of AI in predictive maintenance has given rise to the role of predictive maintenance managers. These professionals oversee AI-driven systems that predict equipment failures before they happen, ensuring that maintenance activities are timely and effective.
At Lufthansa, predictive maintenance managers use AI to monitor aircraft engines, allowing the airline to schedule maintenance only when necessary, rather than following a fixed timetable. This approach not only reduces costs but also minimises aircraft downtime, significantly improving operational efficiency.
Finally, the role of customer experience managers is evolving as AI plays a bigger part in personalising and enhancing passenger experiences.
These professionals focus on leveraging AI to tailor services to individual passengers, enhancing satisfaction and building loyalty. For example, Emirates Airlines uses AI to analyse customer feedback and personalise in-flight services, such as meal preferences and entertainment options.
By aligning AI initiatives with customer-centric strategies, customer experience managers help airlines stand out in a competitive market.
These emerging roles require a unique mix of technical expertise, industry knowledge and strategic thinking. Professionals who can navigate this intersection are well positioned to lead the aviation industry into its AI-driven future, turning technological advancements into opportunities for growth and innovation.
Upskilling and staying relevant
To stay relevant in this AI-driven world, aviation professionals need to be proactive about upskilling. While technical know-how in AI and data science is crucial, it’s equally important to develop skills in AI governance, ethical considerations and change management.
Understanding how AI algorithms work, the data they require and their potential biases will enable professionals to oversee AI implementations effectively.
A practical approach is to pursue continuous education through online courses, certifications and industry workshops that focus on AI and data analytics. Many reputable institutions offer specialised programmes tailored to industry needs, providing a solid foundation in AI technologies and their applications in aviation.
Another key area is developing leadership skills that are adaptable to the new digital environment. This includes fostering a culture of innovation within teams, encouraging cross-functional collaboration, and staying informed about the latest AI trends and their implications for the industry. Networking with peers and participating in industry forums can also provide valuable insights and opportunities to share best practices.
Turning AI into an opportunity
Rather than seeing AI as a threat, aviation professionals can use it to advance their careers. One effective strategy is to become an AI champion within your organisation.
By leading AI initiatives or advocating for AI adoption in specific areas, you can position yourself as a forward-thinking leader. This not only increases your value to the organisation but also opens new career opportunities.
Mentorship and reverse mentorship programmes can also be beneficial. Senior professionals can mentor younger colleagues on industry knowledge and leadership, while learning from them about digital trends and AI innovations. This exchange fosters a more dynamic and resilient workforce, capable of navigating the complexities of AI integration.
Furthermore, professionals should focus on gaining a well-rounded understanding of AI’s role in aviation, beyond just the technical aspects.
This involves recognising how AI can enhance customer experiences, streamline operations and contribute to sustainable practices. By aligning AI initiatives with broader business goals, professionals can demonstrate the strategic value of AI to their organisations.
Embracing the new digital era
The rise of AI in aviation isn’t just a technological shift – it’s a fundamental change in how the industry operates.
For mid- to senior-level professionals, this presents a unique opportunity to redefine their roles, contribute to innovation and lead the industry into the future.
By embracing AI as a tool for enhancing business outcomes, upskilling strategically and adopting proactive career management strategies, aviation professionals can ensure they remain at the forefront of this exciting evolution.
AI is shaping the future of aviation, and those who adapt and grow with it will find themselves not just surviving but thriving in a rapidly changing industry.
The key is recognising AI as a driver of progress and positioning yourself as a leader in this new digital era.
About the Author
Arpad Szakal, a former aviation attorney, leads the Aviation & Aerospace practice at London-based boutique executive search firm, Cormis Partners. He provides top-level executive search and leadership advisory services to a broad range of clients in the aviation aerospace and airport sectors.
Email: arpad.szakal@cormispartners.com
Website: https://www.cormispartners.com/
LinkedIn: https://www.linkedin.com/in/arpadszakal/
