There’s been a lot of talk about AI replacing roles. But history shows us that every major shift—whether it was the internet, automation, or cloud—came with similar fears. In reality, these changes often created new jobs, not just eliminated old ones. I see AI as part of a bigger transformation. It’s less about job loss, more about how we adapt, reskill, and lead through the change.
Have you seen AI reshape roles in your projects or teams? How are you preparing for it?
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Luis BrancoCEO| Business Insight, Consultores de Gestão, LdªCarcavelos, Lisboa, Portugal
Pavan Maddi Excellent reflection — and above all, an invitation to thoughtful consideration of our role in this transition.
I agree that the debate shouldn't revolve solely around “job loss,” but rather around skills transformation and the evolution of human roles.
As we’ve seen with automation and the digital revolution, the impact is not linear: while some functions disappear, others emerge — often requiring greater contextual intelligence, adaptability, and ethical judgment.
In my project management context, I’ve observed AI taking over repetitive tasks (such as meeting summaries, risk analysis based on historical data, or requirements categorization), freeing up time for professionals to focus on higher-value activities — like leadership, strategic decision-making, and building trust with stakeholders.
But the real challenge is not technical.
It is cultural and behavioral: how do we reconfigure teams, processes, and mindsets to integrate AI with human intelligence — instead of replacing it?
The key, as you mentioned, lies in reskilling, sensemaking, and adaptive leadership. We need leaders who can navigate ambiguity, foster trust in hybrid (human + machine) contexts, and promote continuous learning as an organizational pillar.
Instead of asking “what will AI take away?”, perhaps we should ask:
“What can only humans continue to offer - and how can we enhance that with AI as an ally?”
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1 reply by Pavan Maddi
Jul 23, 2025 7:15 PM
Pavan Maddi
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Luis Branco yes, this is exactly the shift we need. It’s not about job loss, but rethinking how we create value. I’ve seen the same in my projects: AI takes care of the repetitive, letting us focus on trust, leadership, and strategy. The real challenge is cultural reshaping teams, mindsets, and skills to work with AI, not compete with it.
Your closing question is spot on: what remains uniquely human and how do we amplify it?
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Grant DeCeccoPrincipal| FisherPeak ManagementNorth Vancouver, British Columbia, Canada
Absolutely agree, this shift isn’t about job loss, it’s about leadership evolution. As someone leading programs with live AI integrations, I’ve seen firsthand how quickly expectations and workflows are changing. This goes far beyond experimenting with tools like CoPilot and ChatGPT—it’s a redefinition of how we lead, deliver, and prepare teams for the future of work.
We need to move from passive awareness to active transformation. That means embracing five big shifts:
From governance gatekeepers to AI enablers—supporting experimentation while keeping alignment
From manual oversight to AI-augmented decision, using real-time dashboards, scenario planning, and smarter data
From templates to tools that think - empowering teams with GPTs, copilots, and low-code automation
From one-size-fits-all to role-specific AI agents—customizing AI assistants for PMs, execs, and resource managers
From skepticism to structured playbooks—creating clarity, guardrails, and a culture of learning
Dario Amodei’s warning that AI could eliminate half of entry-level white-collar jobs in 1–5 years is not hype, it’s a signal. We, as project leaders, must guide this transition and build readiness into our teams and PMOs.
AI is reshaping responsibility. How we respond will define our relevance.
Thank you for sharing such a sharp perspective! I completely agree this isn’t just tech disruption, it’s a shift in how we lead. Your five points really stood out, especially moving from “templates to tools that think” and enabling role-specific AI agents. It’s time we go from awareness to action with the right guardrails and mindset, PMOs can lead this change with confidence.
Absolutely agree, this shift isn’t about job loss, it’s about leadership evolution. As someone leading programs with live AI integrations, I’ve seen firsthand how quickly expectations and workflows are changing. This goes far beyond experimenting with tools like CoPilot and ChatGPT—it’s a redefinition of how we lead, deliver, and prepare teams for the future of work.
We need to move from passive awareness to active transformation. That means embracing five big shifts:
From governance gatekeepers to AI enablers—supporting experimentation while keeping alignment
From manual oversight to AI-augmented decision, using real-time dashboards, scenario planning, and smarter data
From templates to tools that think - empowering teams with GPTs, copilots, and low-code automation
From one-size-fits-all to role-specific AI agents—customizing AI assistants for PMs, execs, and resource managers
From skepticism to structured playbooks—creating clarity, guardrails, and a culture of learning
Dario Amodei’s warning that AI could eliminate half of entry-level white-collar jobs in 1–5 years is not hype, it’s a signal. We, as project leaders, must guide this transition and build readiness into our teams and PMOs.
AI is reshaping responsibility. How we respond will define our relevance.
Thank you for sharing such a sharp perspective! I completely agree this isn’t just tech disruption, it’s a shift in how we lead. Your five points really stood out, especially moving from “templates to tools that think” and enabling role-specific AI agents. It’s time we go from awareness to action with the right guardrails and mindset, PMOs can lead this change with confidence.
Pavan Maddi Excellent reflection — and above all, an invitation to thoughtful consideration of our role in this transition.
I agree that the debate shouldn't revolve solely around “job loss,” but rather around skills transformation and the evolution of human roles.
As we’ve seen with automation and the digital revolution, the impact is not linear: while some functions disappear, others emerge — often requiring greater contextual intelligence, adaptability, and ethical judgment.
In my project management context, I’ve observed AI taking over repetitive tasks (such as meeting summaries, risk analysis based on historical data, or requirements categorization), freeing up time for professionals to focus on higher-value activities — like leadership, strategic decision-making, and building trust with stakeholders.
But the real challenge is not technical.
It is cultural and behavioral: how do we reconfigure teams, processes, and mindsets to integrate AI with human intelligence — instead of replacing it?
The key, as you mentioned, lies in reskilling, sensemaking, and adaptive leadership. We need leaders who can navigate ambiguity, foster trust in hybrid (human + machine) contexts, and promote continuous learning as an organizational pillar.
Instead of asking “what will AI take away?”, perhaps we should ask:
“What can only humans continue to offer - and how can we enhance that with AI as an ally?”
Luis Branco yes, this is exactly the shift we need. It’s not about job loss, but rethinking how we create value. I’ve seen the same in my projects: AI takes care of the repetitive, letting us focus on trust, leadership, and strategy. The real challenge is cultural reshaping teams, mindsets, and skills to work with AI, not compete with it.
Your closing question is spot on: what remains uniquely human and how do we amplify it?
No changes prompted as of AI in terms of staffing, but it's been a huge shaper of how we speed up routine or rote tasks. We have a team devoted internally to AI tools that we use, and it's been factored into every employee's goals.
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1 reply by Grant DeCecco
Jul 24, 2025 1:06 PM
Grant DeCecco
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I've wrote a few blog post on using AI in Project Management beyond creating templates and knowing how to prompt. The value I am focused on is in PM delivery assurance. For Example:
Risk: Ensure they are well documented and suggestion missing risks.
Issue: Are issue are well documented and being closed on time.
Schedule: Suggestions on optimizing schedule.
Blind Spots: Review Risks, Issues, SteerCo Meetings, Status Reports and find gaps and inconsistencies.
I have developed a custom AI sandbox where I can play around with real project documents and see what kinds of insights I can use. This helps me find what is woking well and what responses I need to put additional scrutiny around.
It's all very exciting!
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Grant DeCeccoPrincipal| FisherPeak ManagementNorth Vancouver, British Columbia, Canada
Jul 23, 2025 9:24 PM
Replying to Amanda Loewy
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No changes prompted as of AI in terms of staffing, but it's been a huge shaper of how we speed up routine or rote tasks. We have a team devoted internally to AI tools that we use, and it's been factored into every employee's goals.
I've wrote a few blog post on using AI in Project Management beyond creating templates and knowing how to prompt. The value I am focused on is in PM delivery assurance. For Example:
Risk: Ensure they are well documented and suggestion missing risks.
Issue: Are issue are well documented and being closed on time.
Schedule: Suggestions on optimizing schedule.
Blind Spots: Review Risks, Issues, SteerCo Meetings, Status Reports and find gaps and inconsistencies.
I have developed a custom AI sandbox where I can play around with real project documents and see what kinds of insights I can use. This helps me find what is woking well and what responses I need to put additional scrutiny around.
It's all very exciting! Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
First of all, AI is a board term. We are using AI from more than 40 years ago. The point is generative AI. Then, talking about that, not at all, including it statistics and projections. If and only if people understand that, talking about project/program/portfolio management, roles are dead as originally defined. People must reinvent. When I started working on project management I saw office with more than 50 people that created calculations related to project including it updates, estimations, progress, etc. So, nothing new below the sun. Saving Changes...
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