Much of the discussion surrounding artificial intelligence in fire engineering focuses on individual engineers and the tools they use. We debate whether AI will improve calculations, accelerate report writing, automate parts of modelling workflows, or influence professional competence. These are important questions, but they only address part of the challenge.

For those responsible for leading fire engineering teams, the introduction of AI presents a different set of considerations. Technical directors, discipline leads, and business owners are responsible not only for technical quality, but also for commercial performance, professional development, recruitment, strategic direction, client relationships, regulatory compliance, and the long-term sustainability of their organisations. Decisions about AI therefore cannot be treated simply as decisions about software. They are decisions about culture, capability, and leadership.

As with many technological developments before it, the real impact of AI will not be determined by what the technology can do, but by how organisations choose to integrate it into professional practice. That is the same question, seen from the perspective of those who lead teams, that runs through our broader argument that AI’s place should be defined by judgement rather than automation.

Creating capacity, not chasing efficiency

Leading a fire engineering team involves a constant balancing act. Technical leaders are expected to oversee project delivery, support engineers, manage clients, contribute to business performance, respond to changes in guidance and regulations, and participate in the wider development of the profession. At any given moment they may be reviewing a complex performance-based strategy, discussing contractual liability, mentoring a graduate engineer, preparing a conference presentation, and responding to a client query about scope or programme.

AI has the potential to support many of these activities. It can help process information, identify inconsistencies, review documents, assist with drafting, and accelerate routine administrative tasks. These capabilities are valuable, but not because they make organisations more efficient in isolation.

The real value lies in the capacity they create.

Used well, AI can free leaders from some of the routine tasks that consume time without necessarily creating value. That time can then be reinvested into activities that matter far more: supporting project teams, developing future professionals, engaging with clients, contributing to industry initiatives, and improving technical quality.

This distinction is important. The objective should not be to use AI to do the same work faster. The objective should be to create the space required to make better decisions, develop stronger teams, and improve the quality of engineering outcomes.

AI literacy is now a leadership responsibility

One of the greatest risks facing organisations is not that engineers begin using AI. It is that leaders fail to understand it sufficiently to guide its adoption.

Technical leaders do not need to become specialists in machine learning or software development. They do, however, need a practical understanding of what these tools can and cannot do. They need to appreciate where AI is useful, where it introduces risk, and how it influences professional practice.

This becomes particularly important when considering competence, supervision, quality assurance, confidentiality, liability, and professional responsibility. The introduction of AI changes workflows. It changes expectations. It changes how engineers access information and how work is produced. Inevitably, it will also change how future professionals develop their skills.

For this reason, AI literacy should increasingly be viewed as a leadership competency. Organisations need leaders who can establish expectations, create sensible boundaries, and provide clear guidance on appropriate use. As the technology evolves, that guidance will need to evolve as well.

The organisations that succeed are unlikely to be those that prohibit AI entirely, nor those that encourage unrestricted use. They will be those that introduce it thoughtfully, train their people continuously, and adapt their approach as they learn.

Maintaining connection in an increasingly digital profession

Perhaps the greatest leadership challenge is ensuring that AI does not create distance between people.

There is a natural temptation to use these tools to reduce interaction. Training materials can be generated automatically. Reports can be reviewed automatically. Questions can be answered automatically. Performance feedback can be summarised automatically.

Viewed individually, each of these applications may appear reasonable. Collectively, however, they risk removing some of the very interactions through which professional competence develops.

Engineering is fundamentally a social profession. Technical knowledge is important, but competence is built through conversation, challenge, explanation, observation, and trust. Engineers learn by working with other engineers. They learn from hearing how experienced practitioners approach problems, how they deal with uncertainty, how they communicate risk, and how they make decisions when there is no obvious answer.

These lessons are difficult to capture in procedures or training manuals. They emerge through relationships.

This is why leaders should be cautious about allowing AI to replace human engagement. The most effective organisations will use AI to create more opportunities for mentoring and the development of the next generation of engineers, not fewer. If administrative tasks become easier, the benefit should be reinvested into supporting people rather than reducing contact with them.

Supporting technical delivery in an uncertain world

Many of the most difficult challenges in fire engineering arise when information is incomplete, guidance is unclear, or projects fall outside established norms. Technical leaders are often called upon precisely because there is no obvious answer.

In these situations, AI can be genuinely useful. It can help identify relevant guidance, explore unfamiliar topics, compare alternative approaches, and support research into areas where the project team may have limited prior experience. It can help engineers investigate a broader range of possibilities than might otherwise be practical within project constraints.

However, this should not be confused with decision-making.

The role of technical leadership remains unchanged. Leaders must continue to challenge assumptions, identify weaknesses in arguments, understand limitations, and ensure that conclusions remain defensible — which is far harder when an output looks more authoritative than it really is, the danger we examine in fire modelling and the black box problem. AI may help generate options, but it cannot determine which option is appropriate. It may support analysis, but it cannot assume responsibility for the outcome.

This is also why the tools a team relies on matter. A leader can only assure work they can interrogate, which is far easier when the underlying methods are open to inspection rather than sealed inside a piece of software; OpenFire’s open method catalogue is built on exactly that principle and is open to browse without an account. The engineering argument remains the responsibility of the professional team.

Beyond projects: supporting the business and the profession

The responsibilities of leadership extend well beyond technical delivery. Senior fire engineers routinely engage with issues relating to scope, appointments, liability, compliance, insurance, commercial risk, and business performance. These decisions often involve balancing technical, legal, commercial, and ethical considerations simultaneously, and they increasingly intersect with how regulators and approving authorities view the use of AI in submitted work.

AI can assist by helping leaders process large volumes of information and explore different options. It can support communication, planning, and decision-making. However, these activities remain highly dependent on context, relationships, and professional judgement. The technology can support the discussion, but responsibility for the decision remains firmly with the people involved.

The same applies to leadership beyond the organisation itself. Many senior practitioners contribute to professional institutions, technical committees, research initiatives, government-supported programmes, industry working groups, and conferences. These activities play an important role in shaping the future of the profession and ensuring that lessons learned are shared more widely.

Here too, AI has the potential to help. It can accelerate research, support technical writing, improve knowledge sharing, and make it easier for practitioners to engage with a broader range of topics. Used responsibly, it may enable more professionals to contribute meaningfully to discussions that influence the future of fire safety.

Deliver the work. Grow the people. Build safe buildings.

The fundamental responsibilities of leadership in fire engineering have not changed.

Technical leaders remain responsible for delivering high-quality engineering, developing competent professionals, and protecting the public. Artificial intelligence has the potential to support all three objectives, but only if it is introduced deliberately and with a clear understanding of its purpose.

The organisations that succeed will not necessarily be those that use the most AI. They will be those that use it most thoughtfully. They will invest in AI literacy, maintain strong mentoring cultures, encourage transparency, and ensure that technology strengthens professional judgement rather than replacing it.

Most importantly, they will remember that engineering is ultimately about people. Buildings are designed for people. Teams are built from people. Competence is developed by people.

Technology will continue to evolve. The responsibility to deliver quality work, develop future professionals, and create safer buildings will remain exactly where it has always been: with the people entrusted to lead.