Consulting isn’t disappearing; it’s being fundamentally reshaped. Harvard Business Review recently laid out a clear vision of the future: the traditional consulting pyramid—where junior analysts grind through endless slides to feed senior partners—is giving way to a leaner, taller “obelisk.” In this new structure, AI handles the repetitive, data-heavy tasks, freeing up a smaller, more senior team to focus on strategic thinking, client insight, and high-impact delivery. The image is compelling, and the direction is right. But while the shape of the organization is changing, the real transformation lies beneath the surface—in the systems, processes, and incentives that actually govern how work gets done. The HBR piece captures a crucial shift: AI is no longer a distant promise. It’s already dismantling the foundation of the old model. Firms like McKinsey and BCG aren’t waiting for permission to evolve. McKinsey’s Lilli is now embedded in daily workflows, automating research, summarizing documents, and drafting sections of client decks. BCG’s internal tool, Deckster, can generate entire presentation decks in minutes, reducing hours of manual labor to seconds. These aren’t experiments—they’re production tools. But here’s the catch: just because you can automate the slides doesn’t mean you’ve rebuilt the engine of value. The real challenge isn’t replacing juniors with bots—it’s redefining what “value” means in an AI-augmented world. The obelisk model only works if you’ve fixed three things: governance, data quality, and delivery culture. First, governance. AI outputs are only as good as the inputs they’re trained on—and the guardrails around their use. Without clear protocols for data sourcing, model validation, and ethical boundaries, AI can amplify bias, misrepresent facts, or generate plausible-sounding nonsense. Firms must build AI oversight teams that aren’t just compliance checklists, but active contributors to strategy and quality control. Second, data. The old consulting model thrived on fragmented, siloed data—clients’ spreadsheets, internal databases, and third-party reports. AI thrives on coherence, consistency, and access. Firms that haven’t unified their data infrastructure are building obelisks on sand. The future belongs to firms that treat data not as a byproduct, but as a core asset—curated, versioned, and accessible across teams. Third, delivery. The real test of the new model isn’t how fast you can generate a slide. It’s whether your client actually acts on it. The obelisk must deliver not just insight, but impact. That means shifting from output-based KPIs (number of decks, pages of analysis) to outcome-based ones (client decisions made, revenue impact, process change). It means embedding feedback loops, measuring real-world results, and iterating—not just in the model, but in the way teams work. And finally, incentives. If you still reward hours logged or slides produced, you’ll just automate the wrong things. The new culture must reward clarity, strategic thinking, and client outcomes—not volume. Teams need to be rewarded for asking better questions, not just answering more. The transition won’t be smooth. There will be resistance. There will be tools that fail. There will be leaders who treat AI as a gimmick rather than a transformation. But the firms that succeed won’t be the ones with the flashiest AI tools—they’ll be the ones who’ve rebuilt their operating systems from the ground up. The obelisk is a metaphor. But it’s also a promise: that consulting can be faster, sharper, and more valuable. The question isn’t whether the pyramid is dead. It’s whether we’re ready to build something better.