The Skills-Powered Organization: The Journey to the Next Generation Enterprise

The world of work is moving with greater velocity and volatility. Companies need to respond this change with smaller building blocks to resource work with greater precision and agility. As a result, we are seeing jobs give way to skills as the currency of work.

In The Skills-Powered Organization: The Journey to the Next Generation Enterprise (MIT Press, 2024), authors Ravin Jesuthasan and Tanuj Kapilashrami look at how companies are reinventing themselves to be skills-powered; how they are adopting new organisational capabilities, such as work design and AI-driven resourcing; and transforming value for customers.

The following is an edited excerpt.

The Skills-Powered Organization

The Evolution to a Skills-Powered Organization: A Quick Retrospective 

The work construct most of us have today is about 140 years old. It is at least as old as the Second Industrial Revolution (1870–1930), when employers aggregated disparate activities into jobs, jobs into job families, and job families into functions. With its relentless pursuit of efficiency, Frederick Taylor’s scientific management method (his book, The Principles of Scientific Management from 1909, was named the most influential book of the twentieth century by the Academy of Management) was widely embraced. His approach ensured that workers would know exactly what was expected of them and managers would know exactly how much should be produced in an era where capabilities were primarily built and owned by individual companies.

The “one-to-one” relationship between a person and a position was thus born with much of the organization’s control systems: finance, HR, and technology, grounded in the notion of the job as the currency of work. Talent was attracted, engaged, and retained with one- size- fits- most approaches that only varied as one ascended the organizational hierarchy (i.e., moving from a “small job” to a “bigger job”). The technology of this era significantly reduced inequality as traditional “craft-based activities,” which required high skill premiums and years of expertise and were increasingly automated. This resulted in the democratization of opportunity as skills premiums were reduced, enabling those with “lesser” skills to engage with well-paying work.

In the Third Industrial Revolution (1955–2005), this carefully constructed value chain started to unravel. The democratization of information enabled companies to understand the cost, capabilities, and risks of working elsewhere. This led to the outsourcing movement as entire jobs and processes were “lifted and shifted” in pursuit of labor arbitrage and greater agility for an increasingly volatile world. In this era, as capabilities were increasingly shared at lower marginal costs, the job continued to serve as the primary currency for work. The end of this era saw significant advances in computers but also resulted in greater inequality. Research by David Autor and others observed significant “job polarization” during this time. Computers increased wages and opportunities for high-income, college-educated workers—substituting a range of highly rules-based work in manufacturing and offices that had once provided solid opportunities for people without a college degree.

In the Fourth Industrial Revolution (2005–present), advances in cloud- based computing, mobile technology, and AI heralded the democratization of work—our growing ability to increasingly decouple work from its traditional confines of space, time, and structure. As companies increasingly turned to platform-based business models that allowed them to engage with talent on demand, the concept of gig work was born. This started the move toward skills serving as the currency of work instead of jobs.

In this era, capabilities are increasingly rented when needed, at virtually zero fixed cost. The inequality in wages and opportunities that started in the 1990s has been exacerbated in this era. Repetitive, rules-based work has diminished, and with the augmentation of technology, an even greater premium has been placed on reasoning, decision-making, abstract thinking, problem-solving, and creativity.

As we approach a post-Fourth Industrial Revolution world, we see that the demands of the agile movement, the recent advances in generative AI, the need for greater flexibility in business models, and increased eco- nomic volatility further accelerate the need for skills as the currency of work to ensure the rapid (re)deployment of talent to changing demands for work. The World Economic Forum’s Future of Jobs Report 2023 suggested that 60 percent of workers will require additional training by 2027—with the biggest priority being analytical thinking. Technology-related roles dominated the report’s list of fastest-growing jobs, with AI and machine learning specialists at the top. While there is undoubtedly a rapidly growing premium for all talent to become “AI-fluent,” the obsession with developing programming skills might not last given the dramatic advances we are seeing with generative AI and large language models. These advancements are increasingly making English the dominant programming language, further democratizing knowledge and creativity by enabling more and more people to harness the power of AI. Interestingly, this democratization may have the benefit of reducing the rising inequality we have experienced over the last two Industrial Revolutions. This is because generative AI increases the productivity of talent with lesser skills, much as the automation of the Second Industrial Revolution did.

The Journey to Becoming a Skills-Powered Organization, Its Foundational Elements, and Their Evolution 

In this book, we discuss the critical elements of the skills-powered organization and how it will evolve. We explore the foundational elements underpinning the skills-powered organization and the differentiated capabilities required to lead it and consider how the organization is being reinvented with skills as the currency of work.

We also illustrate the transformative changes required of legacy infrastructure and routines that have shaped 140 years of work being organized as jobs and discuss how AI is accelerating and enabling this journey. We conclude with a call to action for leaders and talent at all levels, providing a detailed roadmap and examples to shape their path to building and leading the skills-powered organization and enabling them to thrive individually in a skills-powered world.the skills powered organization

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