As we develop AI Executive Immersion events, we wanted to share some thoughts on what this means for the travel industry and why governance now matters as much as innovation.

When aviation emerged in the early twentieth century, society did not simply place aircraft into mass public use and hope for the best. Aviation became one of the most rigorously tested, regulated, simulated, monitored, and continuously improved industries in modern history.

Every system failure led to investigations. Every near miss generated new protocols. Entire international agencies were built around safety culture. AI is moving differently. Not gradually. Not cautiously. Not sector by sector. Yet it is being embedded into nearly every aspect of society simultaneously. That should concern all of us. AI is no longer a laboratory experiment or a niche productivity tool. It is rapidly becoming embedded into healthcare, finance, transportation, communications, national security, education, elections, media ecosystems, travel infrastructure, and consumer decision-making. Increasingly, these systems are also becoming “agentic” — capable of autonomous action, decision sequencing, and real-time adaptation. Yet globally, we remain dangerously underprepared. Humanity spent roughly sixty years building the engineering, regulatory, operational, and governance systems required to trust aviation at scale. AI by contrast, may become deeply embedded in every aspect of life in less than a decade. The deeper concern is not simply that AI will influence society, but that society may become structurally dependent upon systems we do not yet fully understand, audit, or control.

The comparison with aviation is not rhetorical exaggeration. In some respects, advanced AI may prove more systemically consequential than aircraft ever were. A failed airplane affects hundreds of people. A failed AI system integrated into financial systems, cyber infrastructure, travel, healthcare diagnostics, autonomous logistics, or mass disinformation ecosystems could affect millions simultaneously. Leading AI scientists themselves are warning of this gap. Yoshua Bengio, Geoffrey Hinton, Stuart Russell, and more than 100 international experts contributing to the International AI Safety Report https://internationalaisafetyreport.org/ have warned that current AI capabilities are advancing faster than governance, monitoring, and control mechanisms. The concern is not only malicious use — cyberattacks, synthetic disinformation, biological risks, or autonomous weaponization — but also loss of control, unreliable reasoning, hidden system behavior, and increasingly opaque decision-making. The 2026 International AI Safety Report specifically warns that advanced systems may eventually conceal unsafe behavior during testing or operate in ways that undermine effective human oversight.

At the same time, competitive pressures are accelerating deployment. Bengio recently warned that the growing global AI race could incentivize companies to prioritize speed over safety. This is precisely why aviation offers an important lesson. Commercial aviation became safe not because accidents never occurred, but because governments, engineers, regulators, insurers, manufacturers, and operators collectively accepted that safety must evolve alongside innovation. Simulation, stress testing, black box analysis, certification, international standards, pilot training, incident reporting, and independent oversight became foundational requirements rather than optional extras. AI needs a similar architecture. Regulation is mandatory.

“There is more regulation in a sandwich than in AI,” Sir Geoffrey Lipman.

That means:

• mandatory pre-deployment testing for advanced systems,
• independent safety audits,
• international governance standards,
• transparency around training and risk evaluation,
• real-time monitoring mechanisms,
• and global cooperation comparable to aviation, nuclear, or pharmaceutical oversight.

The travel industry, in particular, should not assume it is merely a passive user of AI technology. Travel may become one of the largest real-time AI operating environments on Earth. Few industries combine identity, logistics, mobility, communications, behavioral prediction, and cross border regulation at such a scale. That means the industry should begin acting now. Travel companies should establish internal AI governance boards and ethical review frameworks before deploying customer-facing AI systems at scale. Airlines, hotels, destinations, cruise operators, mobility providers, and travel technology companies are already moving rapidly toward AI-enabled operational ecosystems. Pricing systems, customer communications, digital identity verification, border management, predictive analytics, recommendation engines, disruption management, and autonomous customer interaction systems are all increasingly AI-driven.

Industry associations should work with regulators and technology companies to create international AI standards for travel and tourism, including transparency around AI-generated recommendations, digital identity protections, algorithmic bias, and consumer consent. Executives should stop viewing AI as a productivity tool and start treating it as critical infrastructure with systemic consequences. Innovation matters. But history shows that humanity’s greatest technological successes emerge not from speed alone, but from trust. We tested airplanes until society trusted them. We should demand at least the same discipline for technologies that may ultimately shape the future of human civilization itself. The real question may not be whether AI becomes more powerful than the airplane. The question is whether humanity builds the governance, testing, and trust systems quickly enough before AI becomes embedded into every layer of society or before it has developed beyond our ability to harness it.

History may judge this period not by how quickly humanity developed AI, but by whether we were responsible enough to regulate it before dependency became irreversible.

What responsibility should industries like travel, aviation, hospitality, and mobility have in shaping those safeguards?

We’d be interested in hearing how others believe these industries should approach AI governance before these systems become fully embedded within our infrastructure. GRN will be exploring this topic further through upcoming international discussions in China and Paris focused on AI, mobility, resilience, and future systems. If you are actively working in AI governance, mobility systems, travel technology, ethics, resilience, or future infrastructure and would be interested in contributing perspectives to this ongoing discussion, feel free to reach out directly.

Selected References

• International AI Safety Report 2026 – internationalaisafetyreport.org
• Yoshua Bengio comments on AI safety and governance – The Guardian https://www.theguardian.com/technology/2026/jan/06/ai-consciousness-is-a-red-herring-in-the-safety-debate; https://www.youtube.com/watch?v=qe9QSCF-d88
• Geoffrey Hinton interviews and AI safety warnings https://www.youtube.com/watch?v=QH6QqjIwv68
• Stuart Russell – Human Compatible: Artificial Intelligence and the Problem of Control https://www.youtube.com/watch?v=nApgMOVVgX0
• International Civil Aviation Organization (ICAO) safety governance frameworks