Why PepsiCo Is Betting on Human Instinct While Automating Its Factories
The paradox is on the table from the very first moment. A company that operates manufacturing plants with decades of history, that distributes beverages and snacks on a global scale, and that has spent more than a century building mass consumer brands, has just publicly declared that its competitive advantage in talent does not come from knowing how to program language models. It comes from hustle.
Becky Schmitt, PepsiCo's Chief People Officer, said it with calculated precision at Fortune's Workplace Innovation Summit: "Our people have hustle. How do you solve problems? How do you have that internal fortitude to work through them? How curious are you? Are you always asking questions?" The statement is not a philosophical manifesto. It is an operational description of what PepsiCo looks for in the hiring process while simultaneously deploying artificial intelligence across its operations.
What makes this moment interesting is not that a large company is talking about soft skills. That is already a commonplace. What is interesting is the system of tensions that Schmitt is managing: accelerated technological modernization, built on a foundation of aging physical assets, within an organizational culture that has historically manufactured leaders for other Fortune 500 companies. The structural question is not whether hustle is a good selection criterion. It is whether that selection criterion has a backbone within a business model that is changing its operational architecture in real time.
The Talent Profile as an Architectural Decision
When a company defines who it hires, it is making a decision with consequences that go far beyond the human resources department. It is choosing what kinds of problems it can solve and which ones fall outside its reach. PepsiCo, in this case, is choosing not to optimize its hiring profile toward technical artificial intelligence skills, even as it actively adopts those technologies.
Schmitt articulates it with clarity: the goal is to find people who can grow with the company, not people who already master the tools of the moment. "What is the person's education, both what they bring and what we provide? What exposure can we give them? How are we modifying our evaluation process to find those gems wherever they are in the organization?" That last phrase is technically significant: it speaks to an internal talent identification system, not just external recruitment.
This decision has a clear structural logic. PepsiCo is not a software company. It does not compete in the artificial intelligence market as a provider. What it competes on is the ability to make thousands of operational decisions every day, from a factory in Mexico to a shelf negotiation in a European supermarket. In that context, a person with a high capacity for problem-solving and accelerated learning has greater long-term value than someone who masters a specific tool that could become obsolete in two years.
The pattern is recognizable in companies that operate with high distributed operational complexity. What Schmitt describes as hustle and curiosity is, in terms of organizational architecture, a bet on generalist adaptability over point-in-time technical specialization. That makes sense when the company's competitive advantage lives in decentralized execution, not in the technical depth of its workforce.
What is not entirely clear yet is how that bet holds up as automation advances on roles that previously required precisely that generalist profile. If the processes of analysis, synthesis, and routine execution migrate toward artificial intelligence systems, human hustle needs to find new territories in which to apply itself. Schmitt anticipates this with the concept of "reimagination": "We believe that humans will create new opportunities and that will come from our people, not just from technology."
That is the bet. It has not been completely proven yet, but it is not an empty argument either.
The Leadership Factory and the Cost of Outbound Mobility
PepsiCo has a problem that not many companies have, and one they do not usually describe as a problem: it produces so well-trained executives that it loses them. Brian Cornell at Target, Chris Kempczinski at McDonald's, Ed Bastian at Delta Air Lines. The list of Fortune 500 CEOs who passed through PepsiCo is long enough that the company has built an identity around that phenomenon.
From the outside, this looks like a talent drain. From the inside, it is more complicated. Schmitt acknowledges this when she says that PepsiCo wants a profile where "both parties feed off each other's success," regardless of whether the employee stays or leaves. That implies a development philosophy that accepts outbound mobility as part of the model, not as a failure.
The logic is consistent. If PepsiCo builds a reputation as a developer of top-tier leaders, it attracts ambitious talent that knows it will go through a genuinely demanding school. That talent accepts the company's conditions, including difficult rotations, exposure to complex problems, and sustained operational pressure, because the return on human capital is implicitly guaranteed by the company's track record. The model functions as a market signal: PepsiCo certifies executive capability in a way that few internal training systems can replicate.
The structural risk of this model is that the cost of talent development is not always recovered within the company. If the average tenure cycle of high-potential leaders shortens, if competition for that profile intensifies, or if internal promotion pathways become saturated without sufficient expansion of roles, the return-on-investment equation for development can deteriorate without becoming visible in any short-term indicator.
What Schmitt introduces as something new is the modification of the internal evaluation process: finding "gems wherever they are in the organization" suggests that the talent identification system is being redesigned to capture unrecognized potential before those people become visible in the external market. That is, in terms of talent architecture, a bet on reducing the attrition rate before the talent becomes expensive enough to be poached by the competition.
Artificial intelligence appears here as well, even though Schmitt does not say so explicitly. A redesigned evaluation system aimed at finding talent in non-visible layers of the organization almost inevitably relies on tools for analyzing performance data, behavior, and potential. If PepsiCo is modifying its evaluation processes, the question that remains open is what analytical infrastructure it is building to do so.
Modernizing Fifty-Year-Old Factories with Technology Is Not the Same as Transforming Culture
The most precise moment in Schmitt's analysis is not the one that talks about hustle. It is this one: "We all use artificial intelligence throughout the day through our devices. Why would you come to work and fill out paper forms?" The rhetorical question has an implicit answer that is structurally uncomfortable: because organizations that operate long-standing physical assets accumulate layers of process that do not evolve at the same pace as the available technology.
PepsiCo is not an exception. It is one of the most representative cases of that problem. A company that was born in 1893, that consolidated its corporate structure with the merger of Pepsi-Cola and Frito-Lay in 1965, and that operates today in more than 200 countries, has an institutional density that cannot be redesigned with a statement of principles at a human resources summit.
The adoption of technology in manufacturing and distribution environments does not fail for lack of platforms. It fails for lack of adoption. Schmitt acknowledges this with precision when she says: "When you implement simple things, you need adoption for it to work." That phrase summarizes one of the most persistent problems in large-scale technological transformations: the gap between technical deployment and the actual behavioral change in the people who operate the systems.
The framework that PepsiCo is using to manage that tension is what Schmitt calls "human-centered design": using technology to make jobs safer, more productive, and more attractive, while keeping workers informed throughout the change process. That is not a new promise in corporate vocabulary. What is specific, however, is the order of priorities: safety first, productivity second, role attractiveness third. That order matters because it reveals where PepsiCo anticipates resistance.
In manufacturing environments with a unionized base or with high employee seniority, the introduction of technology that improves productivity is frequently read as a preamble to headcount reduction. Schmitt does not address that topic directly in the reported statements, but the insistence on communication, transparency, and "human-centered design" suggests there is active work being done to manage that perception. Technological adoption in factories is not resolved simply by better interfaces. It is resolved when workers believe that the technology is not going to leave them behind.
That is the point where the talent profile and technological transformation connect most directly. If PepsiCo hires people with a high capacity for learning and genuine curiosity, and at the same time designs technological adoption around worker safety and worker experience, it is building an architecture that should, in theory, reduce the friction of change. The coherence between those two vectors is the real test of the model.
What Schmitt describes is not yet fully executed. It is in process. And that is precisely what makes the analysis more honest than a validation: PepsiCo is betting that the combination of an adaptable human profile plus technology deployed with human-centered design produces a sustainable advantage in a sector where physical assets age faster than organizations' capacity to renew them. The bet has internal logic. If the execution maintains the coherence that the design proposes, the model has backbone. If short-term pressure for results fragments the sequence, hustle simply becomes another hiring concept that sounds good on a panel but changes nothing on the factory floor.
