In a recent analysis, Paul Osterman, an emeritus professor at MIT’s Sloan School of Management, has pointed out a troubling trend regarding job security in the age of artificial intelligence. While many fear that AI advancements could lead to job losses, Osterman emphasizes that there's another crucial shift already happening: a growing reliance on "disposable workers." His new book, "Disposable Workers: The Transformation of Employment," highlights this phenomenon, revealing that around 35% of workers currently occupy what he categorizes as disposable positions, based on a survey of over 6,000 individuals.
According to Osterman, the term “disposable workers” encompasses three main groups: contractors, freelancers, and those in marginal roles. Contractors can include a wide range from janitors to travel nurses, while freelancers may be gig economy workers like Uber drivers or part-time programmers. Marginal workers, on the other hand, include individuals who are technically employed but face limited opportunities for advancement, such as adjunct professors or junior staff in law firms who handle fundamental tasks but are unlikely to be promoted.
Osterman asserts that these workers are often used to fulfill essential roles within organizations without any commitment from their employers. This shift is driven by both economic factors and changing attitudes; many companies view a small percentage of their workforce as crucial, with some studies indicating that only 5% of employees generate 95% of a company’s value. This perception can lead to a lack of investment in the remaining workforce.
A recent example underscores this trend. Earlier in the year, Deloitte announced cutbacks to paid parental leave and family-building benefits for certain supportive staff roles, while retaining these perks for client-facing employees. This decision suggests that the roles seen as non-essential are the most susceptible to disruption by AI technologies. Osterman argues that while the rise of disposable workers isn't directly caused by AI, the uncertainty surrounding AI's capabilities will likely intensify this trend.
As organizations are unsure of their future staffing needs amidst the AI revolution, it may be more financially prudent for them to engage disposable workers—who typically lack benefits like health insurance—rather than investing in full-time employees. Osterman explains that these shifts may have a heightened impact on entry-level positions, as companies may find it easier to forgo hiring junior talent instead of laying off existing senior staff members. This dynamic could lead to morale issues within the workforce.
For workers looking to remain competitive in this evolving landscape, Osterman offers two key strategies. First, he emphasizes the importance of enhancing one's skill set, stating that valuable skills serve as a worker’s best asset in an unpredictable labor market. Second, he encourages cultivating a broad network of professional connections to reduce dependency on a single employer for career growth.
Osterman also notes that for those in lower-wage or low-skill roles, the path forward involves advocating for systemic changes such as better job training programs, higher minimum wages, and greater accountability for companies to improve labor market conditions. He stresses that while individual initiative is vital, meaningful improvements require public policy attention to support the broader workforce.
In a rapidly changing job environment influenced by AI, adapting to these realities and prioritizing skill development and networking could be essential steps for today’s workers.
