Roles for human project professionals in an AI future

James Garner is Head of AI and Data at Gleeds, Chair of the Project Data Analytics Task Force and founder of Project Flux, which dives deep into AI’s impact on project delivery. In his foreword to Peter Taylor’s new book, The Invisible Project Manager: Why artificial intelligence will run tomorrow’s projects – without you, he writes: “When someone who has spent decades advocating for efficiency and automation in project management tells you that AI will soon make human project managers invisible, you listen.”

Taylor, a project management practitioner, author and speaker, describes the existential challenge facing project management – but doesn’t run off into the horizon, hands raised in terror at the prospect of an AI-fuelled future. Instead, he seems excited about what the transformation could mean for project professionals.

The roles of the future

“The future is not managing, it’s orchestrating,” writes Taylor. “With AI, project management roles will evolve into something new that would elevate the human contribution to projects to where it matters. What role is left to you, the human?” he asks. The role left to human project professionals is, well, doing human stuff. Project managers move from doing the management of the project to becoming guardians of its outcomes, he argues.

Rather than replacing people, “AI will now be reshaping project work to elevate human contribution where it matters most: in creativity, ethics, empathy and strategic thinking,” he writes, going on to describe the potential new human roles project professionals could assume in an AI-powered future:

Project orchestrators, who guide and calibrate the AI engines, ensuring projects stay aligned with business goals and adapting systems as strategies evolve.
Experience designers, who keep the workplace emotionally intelligent, turning machine-led updates into meaningful human conversations and keeping people engaged.
Outcome navigators, who focus on value, not just output, translating business needs into AI-executable goals, and validating whether the work delivers impact.
Collaboration coaches, who help humans and machines work in sync, upskilling teams to prompt, interpret and partner with AI systems effectively.
Trust architects, who build confidence in the system, maintaining transparency, encouraging feedback and ensuring users feel secure.
Digital ethics and governance officers (most likely a centralised business resource), who will provide the conscience of the PMO, ensuring transparency, fairness and regulatory alignment in all AI-driven actions.

The humans in the AI PMO will be “the team behind the machine, ensuring automation doesn’t lose its humanity, and that strategy, empathy and ethics stay front and centre”, Taylor writes. AI won’t mean the end of project professionals – instead, their purpose and work focus will evolve. They will become “visionaries, ethicists, translators and designers of meaningful work”. The machines take care of the ‘how’, while human project professionals can return to the ‘why’ and the ‘who’.

Messy projects = humans needed

Taylor argues that while AI might take the lead in projects that lend themselves to being highly automated – enterprise software rollouts, for example, which are templated, predictable and repeatable – there remain complex projects and programmes where the human project professional is irreplaceable. This is the messy stuff, such as transformation programmes, where stakeholder management, conflict resolution and politics are critical.

“When the system hits an unknown unknown, it’s not an algorithm that’s going to step up and say, ‘Something’s not right here’. That’s still very much a human superpower,” argues Taylor.

“We’re not choosing between AI or humans. We’re embracing both – and applying them strategically. For cookie-cutter projects? Let the machines roll. For ambiguity, emotion and chaos? Send in the humans. And for everything in between? Support the humans with the machines,” he concludes. “This dual model lets us liberate human project managers from the tedium of tool-wrangling and put them where they’re truly valuable – solving problems, making decisions and leading change. The interesting stuff. The stuff that matters.”

While project management has always demanded exacting and ever-improving technical processes, frameworks and expertise, the human side of the profession – knowing how to manage and lead people – is (ironically) in ascendance in an ever more automated world. Is it time for you to take a look at your own people skills, and see what you can improve?

The Invisible Project Manager: Why artificial intelligence will run tomorrow’s projects – without you, by Peter Taylor, is published by Routledge