The landscape of American work is undergoing a profound transformation, driven by relentless advances in automation, artificial intelligence, and shifting consumer preferences. According to the latest projections from the Bureau of Labor Statistics, the nation’s total employment is expected to expand by a modest 3.5 percent between 2025 and 2035, a noticeable slowdown from the robust 10.9 percent growth recorded in the previous decade. This deceleration reflects a combination of productivity gains from technology and demographic headwinds, even as certain sectors continue to add positions at a healthy clip. While the overall picture suggests continued job creation, the distribution of those opportunities is becoming increasingly uneven, with some occupations poised for rapid expansion and others facing steep declines. Understanding which roles are most vulnerable to disruption is essential for workers, educators, and policymakers who seek to navigate the coming decade with foresight and resilience. Moreover, the data underscores a broader trend: as machines take over routine, repeatable tasks, the premium placed on uniquely human capabilities—such as creativity, complex problem‑solving, and interpersonal empathy—continues to rise, reshaping the skill sets that employers value most.
Among the occupations projected to shrink most dramatically, word processors and typists stand out with an anticipated decline of 34 percent over the next ten years. This steep drop places the role within a group of 206 jobs that the Bureau of Labor Statistics has flagged as having ‘very high’ exposure to artificial intelligence and related automation technologies. The primary driver behind this trend is the widespread adoption of machine‑learning‑powered tools that can transcribe, format, and edit documents far faster than a human operative. In many organizations, responsibilities once confined to dedicated typing pools are now being absorbed by administrative assistants, project coordinators, or even the professionals who originally authored the content. As voice‑recognition software reaches near‑human accuracy and cloud‑based collaboration platforms enable real‑time editing, the need for a separate typing function continues to evaporate. Workers currently employed in these roles face a pressing imperative to acquire complementary competencies—such as data entry verification, basic spreadsheet manipulation, or customer‑service liaison—that remain less susceptible to full automation.
Another cluster of roles facing significant contraction includes foundry mold and coremakers, together with metal and plastic patternmakers, whose employment is expected to fall as manufacturers increasingly turn to additive manufacturing—commonly known as 3D printing—for prototyping and low‑volume production. Traditional patternmaking involves carving wooden or metal models that serve as the master templates for casting molds, a process that is both labor‑intensive and time‑consuming. By contrast, 3D printers can produce complex geometries directly from digital designs, eliminating many of the intermediate steps that once required skilled artisans. As the cost of industrial‑grade printers continues to drop and their material repertoire expands to include metals, ceramics, and high‑performance polymers, more firms are finding it economical to bypass the conventional foundry workflow altogether. For those employed in these traditional trades, the transition underscores the value of learning computer‑aided design (CAD) software, gaining familiarity with printer operation and maintenance, and exploring hybrid roles that bridge conventional craftsmanship with digital fabrication.
Telemarketers are also projected to experience a notable reduction in demand, a shift driven by two intertwined forces: the ever‑growing National Do Not Call Registry and the rapid migration of marketing budgets toward digital channels. The Federal Communications Commission’s registry now encompasses hundreds of millions of phone numbers, substantially limiting the pool of consumers who can be legally reached via unsolicited sales calls. Simultaneously, businesses are allocating greater shares of their promotional spend to search‑engine advertising, social‑media campaigns, email marketing, and influencer partnerships, all of which offer superior targeting, measurability, and cost‑efficiency compared to cold‑calling. As a result, the traditional telemarketing model—reliant on high‑volume outbound dialing and scripted pitches—has become less economically viable. Workers in this field can future‑proof their careers by cultivating expertise in digital analytics, copywriting for online platforms, or customer‑relationship‑management (CRM) systems, skills that translate readily into the modern marketing ecosystem.
Employment for mining roof bolters, specialists tasked with installing support systems to prevent ceiling collapses in underground mines, is likewise expected to dwindle. This decline is less about outright automation and more about a structural shift in how minerals are extracted. Surface mining techniques—such as open‑pit quarries and mountaintop removal—have become increasingly favored over traditional underground operations due to lower labor costs, improved safety profiles, and the ability to exploit larger, more accessible ore bodies. As companies redirect capital toward these surface‑based methods, the need for underground support work diminishes accordingly. Moreover, advances in remote‑sensing technology and autonomous drilling equipment are reducing the human footprint required even in the remaining subterranean sites. For roof bolters seeking to remain relevant, pathways include transitioning to surface‑mine equipment operation, obtaining certifications in geotechnical engineering, or pursuing roles in mine reclamation and environmental stewardship, areas where demand is projected to grow as regulatory pressures intensify.
Beyond the highlighted examples, the Bureau of Labor Statistics’ list of twelve occupations with the steepest projected percent declines encompasses a variety of positions that share common traits: routine, rule‑based tasks that are increasingly handled by software or integrated into broader job functions. Order clerks, who once processed purchase requests via phone or paper forms, are seeing their duties absorbed by enterprise‑resource‑planning (ERP) systems that allow customers and sales teams to enter orders directly. Switchboard operators, tasked with manually connecting calls on legacy telephony infrastructures, are being replaced by automated voice‑response units and cloud‑based private‑branch‑exchange (PBX) solutions that route calls intelligently without human intervention. Additional roles such as file clerks, desktop publishers, and certain types of data entry workers face similar pressures as optical character recognition, robotic process automation, and intelligent document processing mature. The common thread across these occupations is the erosion of narrowly defined, repetitive responsibilities, highlighting the importance for workers to cultivate adaptable, cross‑functional capabilities that can be redeployed as job designs evolve.
While the outlook for certain jobs appears bleak, the broader labor market is not destined for contraction. The Bureau of Labor Statistics forecasts an overall employment increase of 3.5 percent from 2025 to 2035, translating into roughly 5.9 million new positions nationwide. This growth, though tempered relative to the previous decade’s 10.9 percent rise, is being fueled by several structural trends. Chief among them is the aging of the American population, which is expanding demand for health‑care services, home‑based assistance, and long‑term care facilities. Concurrently, the ongoing transition to cleaner energy sources is creating opportunities in renewable‑energy installation, grid modernization, and energy‑efficiency retrofits. The technology sector, though increasingly efficient, continues to generate demand for software developers, cybersecurity analysts, and data scientists, particularly as firms seek to harness the value of big data and artificial intelligence. Recognizing where the net job gains are occurring enables individuals to align their skill‑development efforts with the areas of highest prospective demand.
The private health‑care and social‑assistance sector is poised to be the single largest contributor to job growth, accounting for an estimated 37 percent of the 5.9 million new positions projected over the coming decade. This concentration reflects both the sheer scale of the aging baby‑boom cohort and the expanding scope of services deemed essential for maintaining quality of life in later years. Roles ranging from registered nurses and home health aides to medical‑records technicians and community‑health workers are expected to see robust hiring. Importantly, many of these positions require a blend of technical proficiency—such as familiarity with electronic health‑record systems—and strong interpersonal abilities, making them less susceptible to full automation. For workers looking to transition from declining occupations, the health‑care arena offers numerous entry‑level pathways, including certified nursing assistant programs, medical‑coding certifications, and associate‑degree nursing tracks, many of which can be completed in under two years and provide a solid foundation for upward mobility.
A striking characteristic of the occupations slated for the deepest cuts is their relatively modest compensation levels. The Bureau of Labor Statistics notes that most of the twelve jobs with the largest projected percent declines paid less than the national median annual wage of approximately $50,980 in 2025. This pattern reinforces a concerning dynamic: workers already earning below‑average wages are disproportionately exposed to the disruptive effects of automation and shifting industry practices. When job losses concentrate in low‑pay segments, the risk of widened income inequality and heightened financial precarity rises, especially for those lacking access to affordable retraining options. Policymakers and employers alike must therefore consider targeted interventions—such as wage‑subsidized apprenticeships, portable benefits schemes, and regional‑sector partnerships—that can help mitigate the adverse impacts on vulnerable workers while simultaneously addressing skill gaps in emerging industries.
Addressing the looming occupational shifts demands a coordinated response that spans education, workforce development, and social‑protection systems. Community colleges and technical institutes should expand short‑term, stackable credential programs that align directly with the skill sets sought by growing sectors—think health‑informatics, renewable‑energy technology, and advanced manufacturing. Public‑private partnerships can facilitate apprenticeship models that allow learners to earn while they gain hands‑on experience, reducing the opportunity cost of upskilling. Unemployment insurance programs ought to be modernized to include wage‑replacement benefits for participants enrolled in approved training courses, thereby encouraging longer‑term investment in skill acquisition. Additionally, tax incentives for companies that invest in employee reskilling or that hire workers transitioning from declining occupations can help align private‑sector incentives with broader societal goals. Finally, robust labor‑market information systems, continually updated with real‑time job‑posting and skill‑demand data, will enable individuals to make informed decisions about where to focus their efforts.
For individuals currently employed in occupations facing contraction, proactive career management is essential. Begin by conducting a honest skills inventory: identify which of your existing abilities—such as attention to detail, customer service, or basic numeracy—are transferable to adjacent roles. Next, explore labor‑market projections for your geographic area to pinpoint which industries are adding jobs and what specific competencies they require. Consider enrolling in a accredited online course or community‑college class that builds a concrete, market‑relevant skill, such as SQL basics for data‑entry workers, patient‑care fundamentals for former order clerks, or solar‑panel installation fundamentals for those leaving manufacturing roles. Leverage free resources like public‑library learning platforms, MOOCs, and state‑run workforce portals to minimize financial barriers. Finally, cultivate a professional network that includes peers in target sectors; informational interviews and mentorship can provide invaluable insights into hiring timelines, workplace culture, and potential pathways for entry.
Employers and policymakers hold powerful levers to smooth the transition and harness the benefits of technological progress while minimizing human hardship. Firms should conduct regular skill‑gap analyses to anticipate future needs and invest in internal mobility programs that allow employees to shift laterally into rising functions before layoffs become inevitable. Offering tuition reimbursement, paid‑time‑off for training, and clear internal job‑posting channels can significantly boost retention and morale. At the governmental level, expanding funding for sector‑specific training consortia—such as those linking health‑care providers with educational institutions—can accelerate the pipeline of qualified workers. Policymakers might also consider portable, individual learning accounts that accrue over a worker’s lifetime and can be applied to any approved educational endeavor, promoting lifelong learning as a norm rather than an exception. By combining foresight, investment, and a commitment to equitable opportunity, the United States can transform the challenge of occupational decline into a catalyst for a more skilled, adaptable, and prosperous workforce.