Education Sector Displacement by 2030

The Digital Education Council's AI in Higher Education Global Survey 2026 draws on 45,398 responses from 27,284 students and 18,114 faculty across 35 countries. 88% of students now use AI in their learning; 77% of faculty use it in their teaching, up 16 percentage points on 2025. 57% of students say assessments come with inadequate AI guidance; only 29% believe instructors are equipped to guide them on AI use; 31% of faculty feel meaningfully involved in institutional AI policy. Faculty intent to use AI in teaching dropped from 76% to 67% in US/Canada — the lowest globally — while other regions show 89-94% intent.

University of Minnesota regents approved an operating budget eliminating 230 jobs through layoffs and attrition (cutting ~$44M). Johns Hopkins laid off ~110 employees concentrated in the Bloomberg School of Public Health, Carey Business School, and central administration — the university 'has lost hundreds of millions of dollars in federal funding since President Trump took office in January 2025.' The New School laid off 87 employees (19 professors, 68 staff). Southern Oregon University will shutter three academic programs and cut 66 positions (23 faculty, 43 staff).

EDUCAUSE's 2026 Workforce Report examines how higher-education technology and data teams are adapting to AI, financial pressures, and shifting institutional priorities. The report draws on survey and focus-group data to trace how external forces reshape institutional strategies, roles, critical competencies, and skills. Central themes: AI strategy, rising workloads, and expanding team responsibilities are reshaping the workforce. The report is designed for higher-ed leaders, managers, and professionals navigating workforce change driven by AI, financial pressures, and evolving institutional needs.

Software developers -15.1%, customer-service sales reps -11%, financial specialists -8.1%, lawyers and law clerks -5.4%, designers -4%, K-12 teachers +1.3% employment change by 2030 (Metaculus community forecast).

Educational Services 8.3%

Reviewed more than 800 academic papers related to AI and K-12 education (Repository now over 1,100 papers) and identified only 20 high-quality causal studies that rigorously examine how AI tools affect students or educators. 'Student performance often improves with access to AI tools, but once removed, results are mixed.' No high-quality causal studies of student AI use conducted in U.S. K-12 classrooms. AI tools designed with pedagogical guardrails show more promising outcomes than general-purpose chatbots.

The survey shows institutional adoption is accelerating, with 66% of respondents reporting their institution is currently leveraging AI, an increase from 49% year over year. Eighty-eight percent of respondents say they expect institutional AI use to increase over the next two years. Survey of 779 higher education faculty and administrators from 300+ institutions.

Educational Instruction and Library job family: 60.4% AI task success rate across 1,615 evaluations. Slope coefficient beta=-0.28 (marginally significant), suggesting moderate task-duration dependence in education.

In a randomized experiment with 1,174 adults ages 25-45, AI access closed approximately three-quarters of the education-based productivity gap: higher-education participants outperform lower-education participants by 0.548 standard deviations without AI; with AI, this gap falls to 0.139 standard deviations.

AI use impairs conceptual understanding, code reading, and debugging abilities. The AI group averaged 50% on the quiz, compared to 67% in the hand-coding group. The AI didn't make developers faster on average.

Around 40% of global employment is exposed to AI; in advanced economies 60%. Demand for new skills is rising with 10% of jobs in advanced economies requiring at least one new skill.

Education task exposure jumped from 11% to 49% — a 4.5x increase driven by multimodal AI, advanced reasoning, and agentic systems. Based on reassessment of 18,000 tasks across 1,000 O*NET occupations.

94% of higher education workers use AI tools for work, but only 54% are aware of institutional AI policies. 67% identified six or more urgent AI-related risks, including job loss. Survey of 1,960 staff and faculty across 1,800+ institutions.

Education support roles face moderate displacement risk while core teaching remains protected. Administrative and content creation roles most affected by AI adoption.

University administrative roles are 'ripe for GenAI' according to sector leaders. Ant Bagshaw, deputy chief executive of the Australian Public Policy Institute, writes that AI adoption in universities means 'the net result is likely fewer jobs' and characterizes cost reduction as 'the only place that real and sustained savings can be made.' Framing positions retraining as more compassionate than sustaining roles machines can perform: 'it is more humane to help colleagues into new roles now than to sustain jobs which machines can do better and cheaper.' 'Reports, agendas, policies and minutes...are all ripe for GenAI to work on.'

At least 50% of tasks are automated in only 7.3% of education and library occupations — the lowest of any occupational group. Survey of 20,262 U.S. workers fielded March-April 2025.

Teacher aide and educational support employment projected to decline 3%. Post-secondary teacher demand flat. Private tutoring category declining.

In job postings in the US, those professions most exposed to AI have seen a 55% greater change in skills requested by employers.

Over the next decade AI will decimate faculty ranks; TAs will be first casualties, then non-tenured faculty, then tenured positions via attrition. Predicts significant culling of doctoral programs.

31% of AI experts predict AI will lead to fewer teacher jobs in 20 years, vs 43% of general public. Survey of 1,013 AI experts (Aug-Oct 2024) and 5,410 US adults. AI experts far more optimistic: 73% say positive impact on jobs vs 23% of public.

Pearson pivoted to AI-first content delivery, reducing editorial headcount by 18% while growing AI-generated adaptive learning content 300%.

Using the National Survey of College Graduates 2013-2021 (n=375,991 unweighted, weighted to ~228.8M), Table 2 reports education field GenAI exposure z-scores of 0.68 for language modeling and -0.69 for image generation, indicating moderate text-based AI exposure and low image-generation exposure. The paper cites Bick et al. (2024): '46 percent of workers who majored in STEM use generative AI at work, compared with 40 percent for workers who majored in business...and 22 percent for all other majors.'

Chegg eliminated 636 employees across two rounds of layoffs (23% in 2024, then additional cuts in early 2025), totaling ~67% of peak workforce. CEO explicitly cited AI as existential threat to homework-help business model.

Teaching roles are among the least automatable (15% task exposure), but education support staff, administration, and tutoring face 30-40% task displacement. Blended estimate across the full education workforce: ~20%.

Duolingo cut 10%+ of its contractor workforce, explicitly replacing human content creators with AI-generated language exercises. CEO announced 'AI-first' strategy for all content production.

Learning gains for students in the AI-tutored group were about double those for the in-class group. Students using the AI tutor reported significantly more engagement and motivation to learn.

Chegg subscribers fell 50% from peak as students shifted to ChatGPT. Company laid off 23% of workforce, citing AI as primary competitive threat.

Surveyed 1,020 teachers nationally; 18% of K-12 teachers used AI for teaching with most using adaptive learning systems weekly. 60% of districts planned to train teachers on AI.

AI tutoring systems can handle 60% of routine student queries. Teaching assistants and tutors face the most immediate displacement risk.

An additional 12 million occupational shifts expected by 2030. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations. Activities accounting for up to 30% of hours could be automated.