Credits & source: This post is inspired by Nathaniel Whittemore’s April 12, 2026 episode of The AI Daily Brief: Artificial Intelligence News and Analysis, titled “The New AI Org Chart.”
Listen here: https://podcasts.apple.com/us/podcast/the-ai-daily-brief-artificial-intelligence-news/id1680633614?i=1000760933978&r=138
At BSG, we sit at the intersection of leadership, value creation, and organizational design—working closely with our sister firm, Talent Sequencing, which focuses on programmatic leadership development across the full talent spectrum.
Together, we’re seeing the same pattern Nathaniel highlights in the AI world: AI is not just another productivity tool. It is quietly rewiring the org chart itself.
And that has enormous implications for where tomorrow’s leaders will come from.
In “The New AI Org Chart,” Whittemore points to emerging thinking from leaders like Jack Dorsey and Roelof Botha: most companies are still using AI to squeeze out efficiency at the edges, while only a handful are using it to redesign how work is coordinated and how decisions get made.
Historically, we built hierarchies to solve difficult coordination problems across distance and complexity. Layers of management existed because humans could only track so much information and manage so many direct reports.
AI changes that equation.
Today, AI systems—and especially AI agents—can:
In other words, much of the “air traffic control” work historically done by middle managers can now be handled in software.
Put bluntly: AI will do better at most of the primary deliverables of middle management—data collection, analytics, insight generation, and communication dissemination up and down and across the org chart.
When that happens at scale, the middle of the org chart doesn’t just get a little leaner. It starts to disappear.
Whittemore highlights two early operating models that make this shift very tangible.
At Block (Jack Dorsey’s company), the re-imagined org design emphasizes just three core roles:
In this design, alignment and coordination are handled by systems plus DRI ownership, not a large, permanent band of managers. Much of what we used to think of as “management work” is absorbed into the operating model itself.
Companies like Every describe themselves as “half-agent” organizations: every human works alongside AI agents embedded into daily workflows.
These agents are treated almost like team members, with:
The implication is similar: AI becomes the ultimate coordination layer—always on, relentlessly consistent, and far cheaper than a thick layer of middle management.
In both cases, the message is the same: middle management is being structurally redefined, not just right-sized.
For a deeper visual and diagnostic framework on this, Talent Sequencing has built a full landing page and leadership pathway map here:
https://talentsequencing.com/the-emerging-leadership-supply-chain-crisis-in-the-age-of-ai/
From BSG’s vantage point, the most important implication is not just org design—it’s leadership supply.
Middle management has historically been the primary training ground for future leaders:
If that middle layer compresses or disappears, we’re left with a simple but uncomfortable question:
Where do future CEOs, CFOs, and operating leaders come from when the “minor leagues” of leadership development vanish?
At Talent Sequencing, we think of this as an emerging leadership supply chain crisis. The traditional manufacturing line for leaders—IC → manager → director → VP → C-suite—is being disrupted at exactly the point where most of the learning used to happen.
Leadership bench strength has been under pressure for years. The AI-driven erosion of middle management is best understood as the third strike in a longer pattern.
Strike 1: Generational shift
Younger leaders watched the toll that 24/7 work culture took on their parents. Many are less eager to spend decades grinding through middle-management roles in exchange for a someday promotion.
Strike 2: COVID and remote work
When offices emptied out, so did apprenticeship by proximity. Shadowing, hallway conversations, and “sit in and watch” moments largely disappeared. The osmotic way leaders used to learn—just by being in the room—has not fully recovered.
Strike 3: AI as middleware
Now AI is poised to take over much of the information gathering, synthesis, and reporting that defined traditional management jobs. The organization still needs senior leaders and frontline ICs, but the layer in between becomes much thinner.
Taken together, these three strikes mean that individual contributors are increasingly being asked to leapfrog two or more rungs directly into senior leadership roles—without the benefit of years in developmental middle-management positions.
This isn’t hypothetical. In joint BSG + Talent Sequencing work with PE-backed companies, we already see operating plans stall not because the strategy is wrong, but because the leadership bench simply isn’t ready for the complexity and pace the plan requires.
For private equity investors, this is not just an HR issue. It’s a direct value-creation risk.
Capital, strategy, and market position may all be in place—but if the leadership supply chain fails, the deal can still underperform.
For decades, a lot of leadership development was essentially osmotic:
“Watch what I do. Sit in the room. Pick it up over time.”
That model assumed:
In the AI era, none of those assumptions hold.
Teams are more distributed. Org structures are flatter. AI is absorbing the repeatable coordination work that used to justify many management roles.
That means leadership will not develop on its own anymore. It has to be designed, engineered, and sequenced, just like any other critical capability in a portfolio company.
This is where the relationship between BSG (talent acquisition and executive search) and Talent Sequencing (leadership development, assessment, and programmatic learning) becomes critical.
Together, we’re helping PE sponsors and CEOs address both sides of the problem:
Talent Sequencing’s VCDI™ (Value Creation Drag Index) provides a structured way to quantify where leadership gaps are already slowing execution, across areas such as:
Instead of assuming leaders will emerge from the org chart, we:
BSG focuses on bringing in the right senior leaders. Talent Sequencing focuses on quickly maturing the next layer down so there is a pipeline—not a cliff—between ICs and the C-suite.
The shared conviction is simple:
Leadership is no longer a byproduct of the system. It has to be a deliberately engineered asset.
If you’re a PE investor, CEO, or board member who suspects your leadership supply chain may become a constraint in the next few years, we’d encourage you to dig into the full Talent Sequencing diagnostic framework and visuals here:
The Emerging Leadership Supply Chain Crisis in the Age of AI
https://talentsequencing.com/the-emerging-leadership-supply-chain-crisis-in-the-age-of-ai/
And for additional context on how AI is already reshaping org charts at companies like Block and Every, start with Nathaniel Whittemore’s original podcast episode:
“The New AI Org Chart” – The AI Daily Brief
https://podcasts.apple.com/us/podcast/the-ai-daily-brief-artificial-intelligence-news/id1680633614?i=1000760933978&r=138
From BSG’s perspective, the takeaway is clear:
In the age of AI, leadership development can no longer be osmotic—“watch what I do and learn over time.” It has to be intentional, structured, and directly tied to how value will be created.