Goldman Sachs estimates AI is costing the US 16,000 jobs per month, a net figure that accounts for roughly 25,000 positions eliminated by AI automation and about 9,000 created through AI augmentation. The losses are concentrated in entry-level and young white-collar roles, particularly in customer support, data entry, and basic analytical work. While the broader labor market remains relatively healthy, economists warn that Gen Z and early-career professionals are bearing the brunt, and targeted reskilling is urgently needed.
What Jobs Is AI Replacing the Most in the US?
AI is replacing jobs that involve repetitive, rule-based tasks, especially customer support, data entry, basic financial analysis, and administrative roles. These positions share a common thread: they rely on processing structured information and following predictable patterns, which is exactly what large language models and automation tools do well.
According to Goldman Sachs research on AI job disruption, the most vulnerable occupations involve tasks that can be broken down into discrete, automatable steps. The breakdown looks like this:
- Customer support representatives: Chatbots and AI assistants now handle routine inquiries, ticket routing, and FAQ responses that once required human agents.
- Data entry clerks: Optical character recognition, automated form processing, and database synchronization tools have made manual data entry largely redundant.
- Basic financial analysts: AI tools now generate standard reports, identify trends, and produce summaries that junior analysts previously spent hours compiling.
- Administrative assistants: Scheduling, email sorting, and document drafting are increasingly handled by AI productivity suites.
The pattern matters for working families across the Mohawk Valley and upstate New York. These entry-level office jobs have long been a foothold into the middle class, the kind of positions that don’t require an advanced degree but offer stability, benefits, and a path upward. When AI swallows those roles, the ladder gets shorter for everyone.
Which Industries Are Losing the Most Jobs to AI?
The industries losing the most jobs to AI are finance, technology, customer service, and media, sectors where information processing forms the core of daily work. Manufacturing and logistics face separate but related pressures from robotics and AI-driven supply chain optimization.
Analysis of Goldman Sachs’ findings shows that AI-driven substitution is concentrated in white-collar knowledge work, not blue-collar labor. That distinction matters. Previous waves of automation displaced factory workers; this wave is displacing office workers. The Rust Belt revival happening across the Erie Canal corridor could ironically be partly insulated from this particular disruption, even as upstate New York’s growing tech and back-office sectors face new exposure.
Most exposed industries:
- Financial services (entry-level analyst and processing roles)
- Tech (QA testing, junior developer support, content moderation)
- Customer service (call centers, help desk, support tiers)
- Media and marketing (content generation, copywriting, basic design)
Less exposed for now:
- Skilled trades (plumbing, electrical, HVAC)
- Healthcare (direct patient care, nursing, therapy)
- Education (in-person teaching, counseling)
- Construction and infrastructure
How Many Jobs Has AI Actually Eliminated So Far, and What’s the Timeline?
Goldman Sachs estimates that AI has eliminated approximately 25,000 jobs per month over the past year, with about 9,000 new AI-related positions created in the same period, yielding the net loss of 16,000 monthly. Follow-up tracking cited in June 2026 suggests net losses may have slowed to around 11,000 per month, though they remain concentrated in entry-level roles.
The Goldman Sachs AI displacement report frames the timeline as gradual rather than sudden. AI is not causing mass layoffs in a single shock. Instead, it’s quietly reducing hiring, companies simply don’t backfill positions when workers leave, and they redirect entry-level work to AI systems. This “silent attrition” makes the disruption harder to see in headline unemployment numbers but very real for the young worker who can’t land that first office job.
BCG’s 2026 analysis estimates that AI will materially reshape 50 to 55% of US jobs over the next two to three years, meaning the timeline for significant workforce transformation is not a distant decade-away scenario, it’s happening now and accelerating through 2028.
Is 16,000 Jobs Per Month Realistic or Exaggerated?
The 16,000-jobs-per-month figure is a credible estimate grounded in payroll data analysis, though it comes with important caveats. Goldman Sachs arrived at the number by comparing expected payroll growth against actual growth after AI adoption began accelerating, making it a reasonable, if imperfect, measure of AI’s labor market impact.
Coverage of Goldman Sachs’ labor market analysis notes that the bank itself describes AI as a “modest drag” on an otherwise resilient labor market. The framing matters: this is not a collapse. The US economy adds roughly 150,000 to 250,000 jobs per month in a healthy environment, so 16,000 in net AI losses represents a meaningful but not catastrophic reduction.
What makes the estimate credible:
- Based on observed payroll data, not theoretical modeling alone
- Accounts for both job destruction and job creation
- Consistent with findings from IMF and PwC research
What introduces uncertainty:
- Hard to isolate AI effects from other economic variables
- Job creation numbers may lag displacement by months or years
- Some “displaced” workers transition internally rather than becoming unemployed
Economists generally agree the direction is correct even if the exact magnitude is debatable. The IMF’s January 2026 research found that employment in AI-vulnerable occupations is about 3.6% lower in regions with high AI skill demand, which independently corroborates the pattern Goldman Sachs identified.
What Jobs Are Safe from AI Automation?
Jobs requiring physical dexterity, emotional intelligence, complex judgment, and human relationships are the safest from AI automation. These include skilled trades, direct healthcare, in-person education, creative direction, and roles involving unpredictable physical environments.
The key distinction is this: AI excels at processing information but struggles with manipulating the physical world and navigating genuinely novel situations. A plumber fixing a century-old pipe in a Utica basement faces a problem space that no current AI system can handle. A nurse reading a patient’s emotional state during a difficult diagnosis exercises judgment that AI cannot replicate.
Safest job categories:
- Skilled trades (electricians, plumbers, HVAC technicians)
- Direct healthcare (nursing, occupational therapy, mental health counseling)
- Education (classroom teaching, special education, mentoring)
- Creative leadership (art direction, editorial strategy, film production)
- Emergency response (firefighting, paramedicine, crisis intervention)
PwC’s 2026 Global AI Jobs Barometer confirms this pattern, finding that employers are rapidly shifting toward human-centric capabilities, judgment, creativity, and leadership, as AI tools absorb routine tasks. The message for workers is clear: the more your job depends on uniquely human qualities, the safer you are.
How Does the US Job Market Compare to Other Countries on AI Displacement?
The US faces higher AI displacement exposure than most countries because its workforce is concentrated in knowledge-intensive services, but it also has stronger job creation dynamics. Goldman Sachs estimates that up to 300 million full-time jobs globally could be affected by AI automation, with impacts varying sharply by region and sector.
Developed economies with large service sectors, the US, UK, Germany, Japan, face the highest exposure rates. Developing economies with larger agricultural and informal sectors face less immediate AI disruption but may miss out on the productivity gains. The IMF found that nearly 40% of global jobs are exposed to AI-driven change, but this exposure is distributed unevenly.
Compared to previous technological disruptions, the mechanization of agriculture, the rise of assembly line robotics, the internet revolution, AI displacement is moving faster and hitting a different population. Factory automation displaced blue-collar workers over decades. AI is displacing white-collar workers over years. The compressed timeline leaves less room for natural workforce transitions through retirement and generational turnover.
Global labor market projections synthesized in early 2026 suggest AI could create around 170 million new jobs by 2030 while displacing roughly 92 million, a net gain of 78 million globally. But those aggregate numbers mask intense transition pain for specific demographics, especially young workers in advanced economies.
Are There New Jobs Being Created to Replace AI-Displaced Workers?
Yes, AI is creating new jobs, in AI development, data infrastructure, prompt engineering, AI ethics, and human oversight roles, but the pace and skill requirements of new job creation do not match the pace of displacement for entry-level workers. The gap between jobs lost and jobs created is real, and it falls hardest on those least prepared to pivot.
BCG’s 2026 research argues that upskilling, reskilling, and structured redeployment pathways must be placed at the center of corporate workforce strategy. The report emphasizes that AI will reshape more jobs than it eliminates outright, meaning many workers will stay employed but in significantly modified roles.
Growing job categories:
- AI system development and maintenance
- Data engineering and infrastructure
- AI ethics, compliance, and governance
- Human-AI collaboration oversight
- Creative and strategic roles that leverage AI tools
The challenge is one of skills mismatch. A displaced data entry clerk cannot seamlessly transition into AI ethics consulting. The new jobs being created require different skills, often at higher levels of education and experience. Without deliberate intervention, public investment in retraining, employer-funded reskilling programs, and educational reform, the gap will widen.
What Can Workers Do to Prepare for AI Job Displacement?
Workers can prepare for AI-driven job displacement by assessing which parts of their role are automatable, developing AI-complementary skills, and building professional networks that prioritize human-centric capabilities. The most effective strategy combines technical literacy with distinctly human skills like judgment, creativity, and relationship-building.
Here is a practical framework:
- Assess your exposure. Identify which tasks in your current job follow predictable patterns. Those are the ones AI will handle first. Be honest about it.
- Build AI literacy. You don’t need to become a programmer, but you should understand how AI tools work in your field. Learn to use them as collaborators, not competitors.
- Develop complementary skills. Focus on what AI cannot do: complex judgment, creative problem-solving, emotional intelligence, stakeholder management, and ethical reasoning.
- Pursue credentials strategically. Look for certifications and training programs that build skills in AI-resistant or AI-enhanced domains. Community colleges across upstate New York are expanding workforce development programs.
- Engage locally. Attend town hall meetings about workforce development. Contact your state legislature representatives about funding for retraining programs. Support union organizing efforts that push for employer-funded reskilling. Employers who threaten workers rather than investing in their transition are part of the problem.
- Build community. Connect with local support networks and professional organizations. The workers who navigate this transition successfully will be those who don’t try to do it alone.
Nearly 80% of the global workforce will need new or updated skills by 2027 to remain competitive in AI-enabled workplaces, according to industry reports. That number should alarm policymakers. It should also motivate every working person reading this to start preparing now, not when the layoff notice arrives.
How Does AI Job Loss Compare to Previous Technological Disruptions?
AI job loss is moving significantly faster than previous technological disruptions and targeting a different segment of the workforce. Where factory automation displaced blue-collar workers over decades, AI is displacing white-collar workers over years, compressing the timeline for adjustment and hitting younger workers first.
The mechanization of agriculture in the early 20th century displaced millions of farm workers, but the transition unfolded over generations, and the industrial economy absorbed many of those workers into factory jobs. The rise of computing in the 1980s and 1990s eliminated clerical roles but created a massive new IT sector. Each disruption eventually produced net job gains, but the transition periods were painful, and the benefits were unevenly distributed.
AI follows the same pattern but at higher speed. The analysis of Gen Z displacement shows that young workers entering the workforce now face entry-level roles that have been fundamentally altered or eliminated. Previous generations could expect that junior positions would serve as training grounds for senior roles. If AI handles the junior work, how do workers gain the experience needed to reach senior positions?
This is the question economists and policymakers have not adequately answered. The market may eventually sort it out, it usually does, but “eventually” is cold comfort to a 23-year-old in Rome, NY who can’t find an office job that existed five years ago.
What Are Economists Saying About the Goldman Sachs AI Report?
Economists generally agree with the direction of Goldman Sachs’ findings while debating the magnitude and policy implications. The consensus is that AI is creating measurable but not catastrophic labor market disruption, concentrated in specific demographics and occupations, and that government and employer response is inadequate.
The detailed breakdown of Goldman Sachs’ AI jobs analysis has been widely cited and largely accepted as a reasonable baseline estimate. Critics note that the methodology cannot perfectly isolate AI effects from other economic variables, interest rates, post-pandemic labor adjustments, immigration patterns. But the IMF’s independent findings on AI-vulnerable occupations corroborate the pattern.
The more significant debate among economists is not about whether the 16,000 figure is right, but about what to do about it. Some argue the market will self-correct through new job creation. Others, including the IMF, call for governments to redesign education and lifelong-learning systems for an AI-driven economy, framing reskilling as core macro-labor policy rather than a niche tech initiative.
For working families in the Mohawk Valley, the academic debate matters less than the practical question: will there be support for workers caught in this transition, or will they be left to fend for themselves?
Conclusion
Goldman Sachs estimates AI is costing the US 16,000 jobs per month, and the evidence from multiple independent sources, the IMF, PwC, BCG, confirms the pattern. The losses are real, concentrated in entry-level white-collar work, and falling hardest on Gen Z and early-career professionals. The broader labor market remains healthy, but that aggregate resilience masks individual hardship.
Here is what readers can do with this information:
- If you’re a worker: Assess your job’s AI exposure today. Start building complementary skills now. Don’t wait for your employer to offer training, seek it out through community colleges, online programs, and professional networks.
- If you’re a parent or educator: Talk to young people about career paths that combine technical literacy with human judgment. The jobs of the future will reward people who can work alongside AI, not compete with it.
- If you’re a citizen: Contact your state legislature and congressional representatives. Demand public investment in workforce development and retraining programs. State-level action shows that government can move quickly when the political will exists. AI displacement deserves the same urgency.
- If you’re an employer: Invest in your workforce before displacement happens. Reskilling is cheaper than turnover. Workers who feel supported through transitions become your most loyal employees.
The AI transition is not a future event, it’s happening now, at 16,000 jobs per month. The question is whether we will meet it with the public investment, corporate responsibility, and community solidarity that working families deserve.
