Clear Soup and the Utility Curve
On November 13, 2025, NVIDIA CEO Jensen Huang received the Professor Stephen Hawking Memorial Award. During informal exchanges at the event, he once again found a memorable metaphor for his management philosophy: he prefers a pot of "stew"-like noise and diversity over an elite organization as pure yet bland as "consommé."
In the context of modern corporate governance, Huang's remarks are a gentle challenge to classic efficiency-ism. The traditional rank-and-yank system (as advocated by Jack Welch) is, in essence, a clear utility curve: eliminating the bottom 5% to ensure optimal allocation of organizational resources and maximization of short-term net profit.
However, Huang's philosophy points directly to a core contradiction: the trade-off between short-term efficiency and long-term innovation returns. The management model he advocates—"letting management serve people"—can only hold true after a company is willing to bear significant institutional costs. These costs far exceed what a good-looking profit and loss statement can reflect.
Moral Hazard and Defining Boundary Conditions
The greatest risk of Huang's "stew" theory lies in Moral Hazard.
He assumes that the 5% of "losers" are high-value "explorers" rather than low-efficiency "redundant personnel." But in an organization with information asymmetry, the primary challenge managers face is how to define the boundary conditions for failure within an inclusive framework.
This management model requires leaders not to rely solely on quantitative output metrics for decision-making. They must delve into the input side of projects: is the failure due to an active choice of a high-difficulty, high-risk path (valuable trial and error), or is it due to inadequate capability or procedural negligence (inefficient mistakes)?
If this distinction cannot be precisely made, tolerance for failure transforms into an institutional incentive for mediocrity. This leads to a decline in the team's average effort level, thereby harming overall innovation capability. Therefore, Huang's management model is less about tolerance and more about extreme trust in the leader's personal discretion.
The "Leadership Premium" Regardless of Cost
"Stew" is expensive, and its price is reflected in the manager's energy cost.
Traditional "clear soup" management achieves management outsourcing through standardization and processization. The system itself becomes the decision-maker, and managers merely execute established rules. But "stew" requires leaders to frequently intervene and provide personalized guidance, consuming enormous energy and time.
In an organization that allows chaos and trial and error, the team needs a sturdy "container" to prevent chaos from devolving into internal friction. The manager must become this container, bearing all the psychological safety responsibility.
This model cannot be scaled or replicated because it relies on the leader's personal talent and energy investment. Only managers with extremely high emotional intelligence, exceptional control, and decisive decision-making abilities can navigate this high-risk, high-mental-effort management structure. For organizations generally lacking this leadership premium, pursuing "stew" is akin to a governance disaster.
Institutional Alienation from Agents
However, the most fundamental institutional resistance does not come solely from external markets. A more corrosive force stems from incentive misalignment within the organization—a variant of The Principal-Agent Problem.
As agents of the organization, managers' actions are not always aligned with the organization's long-term, sustainable efficiency. They face pressure from company shareholders, boards of directors, investors, etc., regarding profitability, stock price, and short-term financial performance. These external metrics, by their nature, do not focus on the team's long-term innovation capability, yet they directly influence managers' decisions and behaviors.
A more insidious issue is that these external metrics are often internalized by managers, either actively or passively, becoming the core standards by which they evaluate their own performance and plan their career paths. When this internalization occurs, metrics that appear reasonable on the surface but actually serve interests outside the team's benefit begin to dominate managers' judgments:
- Personal Career Signaling: To pursue faster promotion or higher short-term cash returns, leaders will actively avoid the chaos and high-risk projects associated with "stew," as they may create unpredictable fluctuations in annual evaluations.
- Short-termism: Leaders prioritize "short-term gains" or "surface compliance" as core values, rather than treating "sustained innovation capability" as the most important asset. These self-imposed metrics, serving personal cash flow or career trajectories, ultimately become constraints on the team.
When leaders prioritize personal interests over the organization's long-term health, they actively push the management model towards "clear soup-ification." "Clear soup" is easy to quantify, easy to report upwards, and easy to prove the agent's "effective control." This behavior of "making the team serve management" rather than "making management serve the team" is a leader's implicit action of using institutional tools to sacrifice the team's long-term potential in exchange for their own short-term security or benefit maximization.
Therefore, the challenges faced by Huang's management philosophy come not only from the greed of capital markets but also from agents at all levels within the organization. They will leverage these internalized external metrics to serve their own sense of security and controllability, thereby pushing teams towards the more manageable but less creative direction of "clear soup-ification."
If an organization wants to practice his management philosophy, it must possess: the courage to accept failure, the willingness to pay the high energy cost, and the skill to resist external short-termism pressures. These conditions stem from the manager's will, not just their capability.
A Call for Long-termism
Huang's "stew" is a governance philosophy that places human capital value above short-term financial metrics.
In the AI era, within a technological environment that updates on a monthly cycle, the performance review window is extremely compressed. The "pressure for results" managers face no longer comes from a single annual target but from constantly converging short-cycle metrics. These metrics often have little to do with the team's long-term efficiency, accumulation of technical capability, or organizational resilience, yet they profoundly influence managers' behavioral choices.
In this environment, agents are more inclined to view uncertainty as risk rather than opportunity. AI technology has not yet formed a stable business model, but narratives surrounding its potential are rapidly inflating, squeezing managers' decision-making space with "technology cycle pressure": the greater the uncertainty, the greater the need to prove "control" in the short term. Consequently, the space that should be reserved for team experimentation, iteration, and exploration is replaced by stricter processes, more quantifiable goals, and more frequent checks.
The result is that the "stew-like chaos" capable of truly nurturing innovation becomes even harder to sustain in the AI era. Managers must invest a higher discretion cost to protect the team's trial-and-error space within artificially dense performance cycles. Most organizations lack the capacity to bear this management mental effort, ultimately sliding further towards "clear soup-ification": replacing governance methods requiring patience, wisdom, and long-term judgment with structures that are reportable, measurable, and mass-producible.
The AI era should enhance an organization's exploratory capability, but under the effect of incentive distortion, it may instead make it harder for organizations to maintain a truly innovative environment.
If a company cannot meet these prerequisite conditions, then its efforts to emulate "stew" will ultimately only lead to the collapse of its governance structure. Therefore, Huang's speech is less a management secret and more a call to all enterprises and investors: To achieve true innovation, we must first adjust our incentive structures and reassess the institutional costs we are willing to pay for long-term value.