Is Your Job in Danger? Airbnb’s CEO Says This Corporate Role Is ‘Not Going to Survive.’

The Changing Landscape of Corporate Management in the AI Age

Artificial intelligence is reshaping how organizations operate, automating many tasks that were once the exclusive domain of human managers. From scheduling meetings to compiling reports, AI tools can now handle routine coordination with greater speed and accuracy. This technological shift challenges the traditional role of middle managers, who often serve as intermediaries between executives and frontline employees.

Brian Chesky’s remarks underscore a growing realization: the conventional ‘people manager’ role that relies heavily on conducting recurring one-on-ones and managing workflows may soon become redundant. As AI assumes responsibility for administrative and communication tasks, companies are reconsidering the value of layers of oversight that do not directly contribute to core business outcomes.

The pressure to cut operational costs while increasing efficiency accelerates this trend. By removing or restructuring middle management, organizations hope to streamline decision-making and empower teams with more autonomy, supported by AI-driven insights. This evolution demands a redefinition of leadership roles to focus on hands-on involvement and tangible contributions.

Why ‘People Managers’ Are Most Vulnerable to AI Disruption

Chesky pinpointed ‘people managers’—those whose primary function is managing other employees rather than engaging in direct work—as the most vulnerable group in the corporate hierarchy. These managers often spend their days organizing meetings, checking progress, and relaying information, tasks that AI systems are increasingly capable of performing more efficiently.

This vulnerability stems from the fact that AI excels at processing data, scheduling, and communication logistics, reducing the need for human intermediaries. Managers who do not contribute specialized expertise or directly impact project execution risk becoming obsolete as AI tools assume their coordination responsibilities.

Moreover, companies are recognizing that excessive layers of management can slow down innovation and responsiveness. By cutting down on ‘pure managers,’ organizations aim to foster more agile environments where decision-making and accountability reside closer to the actual work, facilitating faster adaptation to market changes.

The Future of Management: Hands-On, Skilled, and Directly Involved

Chesky emphasized that the managers who will thrive are those who combine leadership with direct involvement in the work itself. Simply overseeing others is no longer sufficient; managers must bring technical skills, domain expertise, or product knowledge to the table to remain indispensable.

For example, a legal manager must actively engage with case law rather than delegating all research and analysis. Similarly, product managers should participate in design and development processes to ensure their leadership adds tangible value beyond coordination.

This shift means managers must evolve from being task supervisors to active contributors, blending strategic oversight with hands-on execution. Such multifaceted roles are less susceptible to automation because they require judgment, creativity, and specialized knowledge that AI cannot fully replicate.

Industry-Wide Movement: Other CEOs Echo Similar Concerns

Brian Chesky’s viewpoint is part of a broader reevaluation of middle management by leading tech executives. Coinbase CEO Brian Armstrong recently announced a reduction of ‘pure managers’ as AI enables engineers to deliver complex projects faster and with fewer resources. Armstrong highlighted AI’s role in accelerating development cycles, making some supervisory roles redundant.

Jack Dorsey, CEO of fintech company Block, has also argued against the need for a permanent middle management layer. In a recent blog post, Dorsey explained that AI exposes the real nature of a company’s structure and facilitates a more empowered workforce with roles closer to the customer and core work.

These leaders are restructuring their organizations to emphasize individual contributors, problem owners, and ‘player-coaches’ who both execute work and mentor others. This approach aligns with the growing consensus that traditional managerial hierarchies must adapt or vanish in the AI era.

Gartner’s Predictions: AI’s Impact on Middle Management by 2026

Industry research supports the view that AI will significantly disrupt middle management. Gartner predicts that by 2026, 20% of organizations will use AI to eliminate more than half of their middle-management positions. This forecast reflects the accelerating adoption of AI tools capable of automating coordination, reporting, and communication functions.

The implications are profound: professionals in supervisory roles that do not involve hands-on work will face increasing job insecurity. As companies prioritize efficiency and agility, the demand for traditional managers who primarily manage people rather than workflows is expected to decline sharply.

To prepare, organizations must rethink leadership models, focusing on roles that combine management with execution and specialized expertise. Employees need to develop skills that complement AI capabilities, ensuring they add unique value that technology cannot easily replace.

How Professionals Can Adapt to Survive in an AI-Driven Workplace

For managers and aspiring leaders, adaptation is critical to career longevity. Chesky advises that surviving in the AI age requires becoming indispensable by engaging directly in the work rather than merely supervising. Developing technical proficiency, deep product knowledge, or specialized skills enhances one’s value beyond what AI can replicate.

Continuous learning and upskilling will be essential. Embracing AI as a tool to augment rather than replace human capabilities can help managers focus on higher-level strategic tasks and creative problem-solving. This mindset shift from managing people to managing work will be pivotal.

Additionally, fostering strong interpersonal and leadership skills remains important. While AI can handle routine coordination, human empathy, motivation, and conflict resolution are irreplaceable qualities that effective managers must cultivate to lead teams successfully.

The Broader Implications for Corporate Culture and Structure

The decline of traditional middle management will reshape corporate culture, encouraging flatter organizational structures and more autonomous teams. This transformation promotes faster decision-making and closer alignment between leadership and frontline employees.

AI’s role in revealing the true nature of companies, as Jack Dorsey noted, means businesses must be transparent about their core operations and empower individuals to take ownership. This shift can enhance innovation and accountability but requires cultural adjustments to support distributed leadership.

Companies must also address potential challenges, such as ensuring effective communication and maintaining morale during transitions. Thoughtful change management and clear vision are essential to successfully navigate the evolving workplace landscape driven by AI.

Preparing for the Future: What Organizations Should Do Now

Organizations need proactive strategies to adapt to the changing role of management. Investing in AI technologies that automate routine tasks is a start, but equally important is redefining leadership roles to emphasize direct involvement and specialized expertise.

Training programs that upskill managers and employees to work alongside AI will facilitate smoother transitions. Encouraging a culture of continuous improvement and flexibility can help organizations remain competitive and resilient.

Finally, transparent communication about changes and clear career pathways for employees will mitigate uncertainty and foster engagement. By embracing the future of work thoughtfully, companies can transform potential disruption into an opportunity for growth and innovation.

Conclusion

The rise of AI is triggering a fundamental transformation in corporate management structures. Brian Chesky’s assertion that ‘people managers’ who primarily conduct recurring meetings and oversee others’ work will not survive highlights a critical inflection point for professionals and organizations alike. As AI automates routine coordination and reporting, the traditional middle management layer is shrinking, demanding that managers evolve into hands-on contributors with specialized expertise. This shift is echoed by other industry leaders and supported by research predicting widespread elimination of middle-management roles. To thrive in the AI era, individuals must embrace continuous learning, develop technical and leadership skills, and focus on managing work rather than just people. Organizations, meanwhile, should adopt AI thoughtfully, restructure roles, and foster cultures of empowerment and agility. The future of work is here, and those who adapt will lead the way in a new corporate paradigm.