TLDR
- GenAI does not replace agile. It amplifies what is already there: real collaboration gets stronger, and agile theater gets exposed faster.
- Heavy GenAI users report bigger gains and more collaboration friction. Certification helps people spot misuse earlier.
- The missed opportunity is enterprise agility: cross-team coordination, coaching, and learning loops stay underused.
GenAI is showing up in agile rooms whether teams asked for it or not. The useful question is not “Can AI write a user story?” It is whether the team is using it to strengthen collaboration, or to polish rituals that never created value.
That is the focus of PMI’s Thought Leadership report, Reclaiming Agile’s Promise: How GenAI Enhances Agility’s Business Value Through Human-Centered Collaboration. This page summarizes that report. Figures below come from it unless another PMI study is named.
Primary source: Project Management Institute, Reclaiming Agile’s Promise: How GenAI Enhances Agility’s Business Value Through Human-Centered Collaboration (PMIxAI Thought Leadership). Research wave: June to July 2025 survey of 2,000 project professionals using agile practices and GenAI, across 18 industries and 12 countries, plus interviews with 18 subject matter experts.
Two lines from PMI’s page stay useful: Trailblazers using GenAI on 50%+ of projects are 16x more likely to achieve major breakthroughs than Explorers, and advanced GenAI users report collaboration challenges at nearly twice the rate of basic users. The point is not to choose breakthroughs over people. It is to use GenAI so authentic collaboration gets stronger, not replaced.
What the Report Is Really Saying
GenAI can support agile’s original intent: collaboration, adaptability, and continuous learning. It can also speed up “agile theater,” where events exist for process compliance rather than customer outcomes.
The report frames GenAI in three roles:
01
Enhancement engine
Amplify authentic agility when GenAI supports trust and shared understanding
02
Truth-teller
Reveal where agile events exist without agile values
03
Debt reduction engine
Help scale enterprise adaptability by reducing structural friction
The Trailblazer Paradox
In this study, Trailblazers use GenAI on more than 50% of their projects. Explorers use it on 1% to 15% of projects, often for basic tasks such as communication and summarization.
38%
Trailblazers report collaboration challenges
vs
19%
basic users report the same
PMI Generative AI in Project Management Survey, Wave 4, n=2,000
Deeper adoption can create better business outcomes and still double the reported collaboration friction. GenAI does not invent that friction. It makes weak human connections harder to ignore.
Early productivity lifts can look similar across users. Later results diverge. That is why the 16x breakthrough gap above matters as much as the collaboration paradox.
When GenAI Helps Authentic Agility
The useful pattern in the report is augmentation, not automation. Teams keep ownership of judgment, relationships, and context. GenAI drafts, surfaces patterns, and shortens the path to a first version.
One practitioner example in the report: instead of writing acceptance criteria from scratch for hours, generate a first draft quickly, then spend time validating it against real user needs and business logic.
Key insights from the enhancement section:
- Selective use beats broad, shallow use when the goal is quality
- GenAI can lift repetitive work so practitioners spend more time on alignment, customer value, and team dynamics
- Teams can gain speed without giving up depth, if collaboration stays human-owned
Professionals using GenAI for 15 or more project management tasks achieve the highest output quality in this study’s framing of compounding benefits from broader, intentional application.
Agile Theater Gets Exposed Faster
Agile theater, as used in the report, is the performance of agile events for process rather than purpose: sprint planning that fills time without alignment, retrospectives that stay polite and avoid hard truths.
GenAI can make that theater look better on the surface. Faster meetings. Cleaner notes. Polished updates. If the room was already avoiding real issues, the tool can accelerate the same avoidance.
That is why the Trailblazer collaboration gap matters. Advanced usage can reveal communication and coordination weaknesses that light usage never touches.
Certification Helps People See the Risks
Certified professionals in the study identify more GenAI barriers than uncertified users:
45%
certified report over-reliance concerns vs 32% uncertified
38%
certified report collaboration issues vs 18% uncertified
41%
certified report confusing outputs vs 30% uncertified
22%
uncertified say they see no barriers vs 12% certified
The report’s reading is not that certification makes GenAI riskier. It is that training and experience make people more likely to notice over-reliance, confusion, and collaboration damage.
The Template Trap
Usage and value do not always line up. Teams often put GenAI where it is easy, not where agile learning needs the most help.
The report highlights project planning as a sharp example: about 49% usage, with quality indicators that can look strong on efficiency, while plans still miss context and judgment. Experts in the report describe a template trap: using GenAI because it is convenient, not because it improves the decision.
Meanwhile, areas closer to agile learning stay thinner in usage. Examples from the report include:
- Iteration support around 20%
- Risk management around 24%
- Stakeholder communication around 24%
- Retrospective support around 37%
Enterprise Debt Is the Scaling Problem
The report uses enterprise debt for accumulated structural friction: approval bottlenecks, skill gaps, siloed knowledge, and misaligned incentives that slow the move from strategy to coordinated action.
Team-level agile can get faster locally and still leave the organization stuck. GenAI can help surface those barriers, but current adoption often stays administrative.
18%
use GenAI for cross-team coordination and dependencies
18%
use it for facilitating team communication
16%
use it for team development and coaching
33%
use it for developing project management plans
The underused work is often the work that builds enterprise adaptability. The more common work is often the work that makes existing process faster.
What to Do With This in Real Rooms
If you lead or facilitate agile delivery, the report points to a practical test:
- Are we using GenAI to prepare better conversations, or to skip them?
- Do retrospectives still surface uncomfortable truths after GenAI enters the workflow?
- Is GenAI helping cross-team dependencies become visible, or only making status look cleaner?
- Who owns the final call when the model sounds confident and the context is messy?
Pierre Le Manh’s foreword puts the accountability line clearly: GenAI is a tool. Professionals remain accountable for outputs and for project success.
Bottom Line
According to the report, teams that use GenAI to accelerate existing dysfunction end up with more sophisticated versions of the same problems. Teams that use it to build collaborative intelligence, cross-functional communication, and learning cycles get closer to authentic agility.
The dividing line is simple to say and hard to practice: use GenAI to become better at the human work agile needs, not to replace it.
Sources
- Project Management Institute. Reclaiming Agile’s Promise: How GenAI Enhances Agility’s Business Value Through Human-Centered Collaboration. PMIxAI Thought Leadership report. Survey Wave 4, June to July 2025, n=2,000. Available at pmi.org/learning/thought-leadership/ai-and-agile-teams. PMI members can download it free.
- Related PMI series context referenced in the report, including The Project Professional’s GenAI Journey: From Quick Wins to Leading the Transformation.
- PMI overview hub: Artificial Intelligence in Project Management.
This page is an independent summary for readers. It is not a PMI publication. For charts, methodology notes, and full findings, read the original report.