Articles

Artificial Intelligence, Infrastructure, and Systemic Risk: Why Scaling Demands Project Management Maturity

In this article, Ricardo Vargas  and João Jacinto examine how the AI debate is shifting from technology to governance, investment, infrastructure, and risk management. Drawing on project management principles from the PMBOK® Guide, they argue that sustainable competitive advantage in AI will depend less on enthusiasm and more on disciplined governance, portfolio management, and strategic execution. Oracle is cited as an example of the operational and financial pressures created by large-scale AI investments.

Between Opportunity and Collapse: Building an Inclusive and Responsible Future with AI

In this article published by IBCG Horizontes, Ricardo Vargas explores how artificial intelligence reshapes decision-making within organizations, bringing to light both transformative opportunities and profound ethical risks. Using real-world examples—such as the use of AI at Itaú Unibanco and in Salesforce's executive meetings—he discusses governance challenges, the need to upskill board members, and possible paths toward this technology's ethical, inclusive, and responsible adoption—a compelling reflection on the human role in an increasingly automated future.

On the Way to Save the World, Don’t Forget to Check Your Green Blindspot

​​​​​​Ricardo Viana Vargas and Antonio Nieto-Rodriguez discuss leveraging AI and technology to effectively address all ESG components after the World Economic Forum (WEF) published a report on the progress made in encouraging private companies to adopt firm metrics on environmental, social, and governance (ESG) initiatives, a week before the Davos 2024 summit.

Beyond Algorithms: The Impact of Emotional AI on Corporate Culture

Artificial emotional intelligence promises to revolutionise the way companies do business. With it, robots will be able to understand, react to and mimic human emotions. Ricardo Viana Vargas and André Barcaui discuss how the technology will affect healthcare, the workplace and personal relationships.

The Opportunities at the Intersection of AI, Sustainability, and Project Management

There are unprecedented opportunities at the intersection of AI, project management, and sustainability. Unfortunately, without proper execution, projects to implement AI come with complexities, costs and a carbon footprint that undermine sustainability goals. It is essential for project managers to learn to implement “green algorithms,” specialized AI constructs designed to both enhance operational efficiency and prioritize sustainability. A five-step framework of defining sustainability objectives, centralizing data, customizing algorithms, pilot testing, and full-scale implementation can guide project managers and leaders as they deploy green algorithms effectively.

AI: Beyond the Buzzword

As a senior project sponsor, you oversee a complex portfolio of projects with a combined budget exceeding $50 million. One of these is a high-stakes transformation project to modernize your company's production facilities. As you sit down for the weekly status update meeting, you're greeted by an AI-driven bot. It seamlessly synthesizes information from multiple projects into actionable insights, providing a clear snapshot of your entire project portfolio.

Are You Willing and Ready to Embrace AI?

When it comes to artificial intelligence (AI), project leaders should ask themselves two key questions. First: Are my organization and I willing to adopt AI-inspired tools as part of the ordinary course of doing business, particularly in project management? This question will give you a sense of your organization’s appetite for adopting machine learning (ML)–inspired technology. The second—and, in fact, the more critical question—is: Are my organization and I ready to take this important leap forward? This question will give you a sense of how quickly you can identify and apply AI to projects.

Leading Projects in an AI-Powered World

Technology has begun to transform how organizations deliver projects, and rapid change lies ahead. What role will leaders play when AI is deployed in project management?

While AI is not yet a standard tool in the world of projects and project management, there is no doubt that it will disrupt this discipline, and probably faster than we expect. The prospect of that transformation seems almost incredible: in most organizations the tools used to manage projects remain relatively basic compared to the sophisticated digital technology being deployed in other parts of business. Most projects are still managed with Microsoft Office tools, such as Excel and PowerPoint. Can you imagine running your business and operations with spreadsheets? Well, that reflects how little technology has evolved in project management.

How AI Will Transform Project Management

Only 35% of projects today are completed successfully. One reason for this disappointing rate is the low level of maturity of technologies available for project management. This is about to change. Researchers, startups, and innovating organizations, are beginning to apply AI, machine learning, and other advanced technologies to project management, and by 2030 the field will undergo major shifts. Technology will soon improve project selection and prioritization, monitor progress, speed up reporting, and facilitate testing. Project managers, aided by virtual project assistants, will find their roles more focused on coaching and stakeholder management than on administration and manual tasks. The author show how organizations that want to reap the benefits of project management technologies should begin today by gathering and cleaning project data, preparing their people, and dedicating the resources necessary to drive this transformation.