How AI is Reshaping Project Delivery at McKinsey & Company

McKinsey & Company consultants are significantly reducing their reliance on PowerPoint for project deliverables, driven by the integration of advanced artificial intelligence tools. This development marks a substantial shift in how the global firm manages projects and interacts with clients, as noted by Kate Smaje, McKinsey's Global Leader for technology and AI.

Smaje highlighted a sharp decline, observed over recent months, in both the volume of presentations created and the time spent within the traditional presentation software. This indicates a fundamental change in internal workflow. The firm's increasing embrace of AI signals a broader transformation within the consulting industry.

AI Drives Project Management Innovation

Traditionally, PowerPoint served as a dual-purpose tool, functioning for client presentations and as a dynamic repository for project research and next steps. However, an engagement manager, Louis-Charles Généreux, pioneered an AI-assisted website, dubbed the "client visualization hub," for a major project involving a North American cable company.

This innovative website acts as a centralized information hub for roughly 70 project participants, effectively resolving challenges like version control and accessibility that often arise with conventional slide decks. The AI-powered platform ensures project information is easily searchable and systematically organized, providing real-time updates and fostering greater cohesion across diverse teams.

Enhanced Analysis and Strategic Focus

The continuous updating of this digital hub is also managed by AI, generating concise, podcast-style summaries and memos on a weekly basis. While final outputs like strategic presentations or formal emails may still utilize PowerPoint, the core analytical and developmental work increasingly occurs within these AI-driven environments.

The shift liberates consultants to dedicate more time to in-depth analysis and problem-solving. AI's ability to rapidly generate initial hypotheses means that what once took a full week to ascertain now can be achieved within an hour. This acceleration allows teams to transition from an initial hypothesis to deeper exploration much faster.

Généreux noted that his team now uses this increased capacity for intensive "dojo sessions or hackathons," delving into concepts that were previously too time-consuming to pursue.

Strategic Implications for Consulting

This internal transformation at McKinsey mirrors the broader industry-wide shift towards AI adoption, with consulting firms not only advising clients on AI integration but also rigorously overhauling their own operational frameworks. This evolution brings forth critical discussions around pricing models, talent development, and the future of value creation as AI agents undertake more knowledge-intensive tasks.

McKinsey CEO Bob Sternfels previously mentioned the firm's complement of 40,000 human employees alongside 25,000 AI agents. Smaje now characterizes the number of AI agents as "many multiples of that," underscoring the rapid scaling of AI within the company's operations. The firm emphasizes that consultant value consistently stems from judgment, pattern recognition, and complex problem-solving, areas that AI now significantly augments rather than replaces.