For years, the prevailing narrative surrounding artificial intelligence has been one of wholesale replacement. From the coding bays of Silicon Valley to the law firms of London and the accounting offices of New York, the anxiety is palpable: the machines are coming for the paycheck. However, Brian Chesky, the CEO of Airbnb, is reframing the conversation. For Chesky, the existential threat isn’t the algorithm itself, but a specific kind of professional inertia.
Speaking recently on the Invest Like The Best podcast, Chesky identified two distinct categories of employees who are most at risk of becoming obsolete in the AI era. His warning isn’t directed at a specific job title or a degree of education, but rather at a mindset and a specific style of corporate utility. In his view, the danger lies not in what a person knows, but in how they choose to evolve—or refuse to do so.
This perspective shifts the burden of survival from the hands of the developers to the hands of the workers. While many fear the “black box” of AI, Chesky suggests that the real vulnerability is transparency—specifically, the transparency of one’s value to the organization when administrative layers are stripped away by automation.
The End of the ‘Pure’ People Manager
The most provocative part of Chesky’s assessment is his dismissal of the traditional “people manager.” In many corporate structures, a significant layer of middle management exists solely to coordinate tasks, monitor progress, and facilitate communication between executives and the workforce. These are individuals whose primary skill set is the management of humans, rather than the mastery of the product or the technical execution of the work.
Chesky argues that this role is fundamentally incompatible with an AI-driven workflow. As AI tools take over the scheduling, reporting, and basic coordination of projects, the need for a “human router” diminishes. “I don’t think people managers will have any value in the future,” Chesky stated, clarifying that he is referring specifically to those who only manage people.
To survive, Chesky posits that leaders must transition into “hybrid people managers.” This new archetype is an individual who maintains the emotional intelligence required to lead a team but remains deeply embedded in the technical context of the work. In this model, the manager is not a supervisor standing above the process, but a practitioner working within it. They must be able to engage with the product, understand the AI’s output, and provide a level of technical intuition that a purely administrative manager cannot offer.
The Anatomy of the Hybrid Manager
The shift toward hybrid management implies a redistribution of daily tasks. Where a traditional manager might spend their day in “sync” meetings and performance reviews, the hybrid manager focuses on:
- Contextual Oversight: Ensuring the AI-generated output aligns with the overarching product vision.
- Technical Integration: Identifying which AI tools can accelerate the team’s specific workflow.
- High-Value Mentorship: Moving away from task-tracking toward the professional development of their staff.
- Direct Contribution: Maintaining a “hands-on” relationship with the final deliverable.
The Rigidity Trap and the Growth Mindset
Beyond the structural role of the manager, Chesky identified a second, more psychological category of at-risk employees: the rigid. These are the professionals who view their current skill set as a finished product rather than a starting point. In a landscape where the tools of the trade change every six months, the refusal to adapt is, in effect, a decision to become obsolete.
This “rigidity trap” is particularly dangerous because it often affects the most experienced workers—those who have spent decades mastering a specific way of doing things and feel that the new tools are a distraction or a degradation of their craft. However, Chesky remains optimistic, noting that the barrier to entry for AI tools is remarkably low. The tools are designed to be intuitive; the only real obstacle is the willingness to experiment.
The solution, according to Chesky, is the adoption of a “growth mindset.” This involves a shift from “this is how we’ve always done it” to “how can this tool make me ten times more effective?” Those who embrace this curiosity will likely find that AI does not replace them, but instead removes the drudgery of their roles, allowing them to focus on higher-level creative and strategic thinking.
A Spectrum of Alarm: Comparing Tech Visions
Chesky’s view is relatively optimistic, focusing on adaptability. However, other titans of the industry offer a more urgent timeline and a broader scope of disruption. While Chesky focuses on the type of worker, others are focusing on the volume of work that will vanish.
Dario Amodei, the CEO of Anthropic, has previously cautioned that AI could disrupt up to half of all entry-level office work. This suggests a “hollowing out” of the corporate ladder, where the junior roles that typically serve as training grounds for future leaders are automated away. Similarly, Mustafa Suleyman, the head of AI at Microsoft, has provided a starker calendar, predicting that the majority of office tasks could be automated within 12 to 18 months.
| Leader | Primary Concern | Predicted Impact | Key to Survival |
|---|---|---|---|
| Brian Chesky (Airbnb) | Professional Rigidity | Obsolescence of “pure” managers | Hybrid technical skills & growth mindset |
| Dario Amodei (Anthropic) | Entry-Level Displacement | 50% of junior office roles at risk | Higher-level cognitive synthesis |
| Mustafa Suleyman (Microsoft) | Rapid Task Automation | Most office tasks automated in 12-18 months | Rapid adaptation to AI workflows |
Why This Matters Now
The convergence of these warnings suggests that the “AI revolution” is moving out of the experimental phase and into the structural phase. Companies are no longer just asking “What can AI do?” but “How do we reorganize our entire company around AI?”
For the average employee, the takeaway is clear: the safety of a job title is an illusion. Value is no longer derived from the ability to manage a process or maintain a status quo, but from the ability to synthesize human intuition with machine efficiency. The “human element”—empathy, strategic diplomacy, and complex problem-solving—remains irreplaceable, but only if it is paired with the technical fluency to navigate the tools of the era.
Disclaimer: This article provides analysis of industry trends and executive commentary and does not constitute professional career or financial advice.
As AI continues to integrate into corporate hierarchies, the next major checkpoint will be the upcoming quarterly earnings calls and annual reports from major tech firms, where the impact of AI-driven restructuring on headcount and organizational design will be quantified in hard data.
Do you believe the “pure manager” is a relic of the past, or is human leadership too complex for AI to augment? Share your thoughts in the comments below.
