According to the authors, organizations have long relied on “constructed” jobs—formal descriptions that bundle skills, responsibilities, pay structures and performance measures into tidy packages. But as automation, artificial intelligence and the gig economy reshape the labor landscape, these rigid constructs increasingly hinder progress. They advocate for “deconstruction,” a process of stripping jobs down to the tasks and capabilities they truly require. From there, organizations can “reconstruct” work in ways that better align with workers’ strengths, available technologies and emerging strategic priorities.
This shift represents more than a structural change; it is a reimagining of the workplace operating system itself. Just as computers run on different operating systems, organizations rely on unwritten systems that define hierarchies, job titles, and even how they interface with unions and social institutions. But the old system—built around full-time employees holding stable roles—is becoming obsolete. Talent now flows freely across organizational boundaries, and work increasingly blends contributions from full-time employees, contractors, gig workers and AI-driven processes.
To navigate this transition, They recommend treating work design as an ongoing experiment. Instead of large-scale, top-down restructuring, leaders should test small changes that reveal better ways of organizing tasks and deploying resources. Early experiments might involve redistributing tasks among employees, augmenting work with automation or tapping into external talent pools. These incremental steps can lead to a “return on improved performance,” where efficiencies gained from better task alignment generate compounding value.
Examples like Genentech illustrate the power of deconstruction in practice. By creating personas that represent archetypes of workers suited to certain tasks, the company freed employees to work more flexibly and attracted new talent seeking adaptable roles. Other organizations, such as agricultural co-op Tree Top, have used automation to handle repetitive tasks, allowing human workers to focus on more complex, variable work.
This reimagined operating system also expands the ways organizations engage talent. Beyond traditional hiring, leaders can explore options such as talent exchanges with other firms, gig work platforms, innovation partnerships with universities, crowdsourcing initiatives and internal talent marketplaces that let employees pursue projects outside their formal roles. As workers progress through their careers, they will increasingly be defined by the skills and capabilities they develop rather than by tenure or conventional degrees. Stackable credentials and modular learning pathways will further support this fluidity.
In such an environment, organizations must embrace a culture of continuous reinvention. Rather than relying on fixed job descriptions, leaders must constantly adjust workflows, coordinate cross-functional teams and foster organizational agility. As automation and AI take on more tasks, work will evolve daily—becoming slightly more automated, adaptive and collaborative over time. Teams will need to shed outdated routines and embrace perpetual upgrades similar to those common in the tech world.
Leadership itself will be reshaped by this evolution. Executives and managers will see their own roles deconstructed and redesigned as they move toward more fluid, project-based forms of leadership. They will establish strategic guardrails while enabling employees to form and reform agile teams as needed. With blurred boundaries between roles, managers must excel at human-centered leadership, guiding teams through constant change and integrating human and technological contributions seamlessly.
They emphasize that work will become increasingly social rather than transactional. Even independent contractors and gig workers develop psychological ties to the organizations they serve. Leaders can strengthen these connections by fostering supportive, inclusive cultures that value emotional well-being, diversity and open communication. As networks of gig workers and task-based contributors grow, organizations will need new ways to recognize collaboration, protect worker welfare and understand the informal social structures that drive value creation.
Clinging to job-based models limits organizations’ ability to harness both human and automated potential. By adopting new work operating systems grounded in flexibility, inclusion and continuous reinvention, companies can become more adaptive, empowering and future-ready—and workers can thrive in more meaningful, dynamic and socially connected ways.
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