Index Trends
How the AI Displacement Score has moved over time — and what's driving it
361 data points
Period High
54.3
Period Low
34.3
Average
44.0
Change
+10.1
Overall AI Displacement Score
A single 0–100 number summarising how much pressure AI is putting on US employment right now
Hard Data vs Sentiment
Reported AI Displacement Events
Verified layoff events where companies explicitly cited AI as the reason. Sourced from news reports and company announcements. Methodology →
Jobs cut (AI-attributed)
373,784
since Jan 2023
Distinct events tracked
56
companies reporting AI cuts
AI share of total layoffs
0.7%
of FRED total layoffs (latest)
Most affected sector
technology
247,828 jobs cut
AI DISPLACEMENT RATIO — AI-attributed cuts ÷ total US layoffs (FRED JTSLDL)
A rising ratio indicates AI is becoming an increasing cause of displacement even when overall layoffs are stable. Note: AI-attributed events are sourced from news reports and may under-count indirect displacement.
SECTOR RISK MATRIX
X = actual AI-attributed job cuts (log scale) | Y = avg O*NET AI task coverage score
Dot size reflects total AI-attributed job cuts. Score = average O*NET AI task coverage across tracked occupations in that sector. Hover dots for detail.
RECENT EVENTS (most recent first)
Company explicitly cited an 'AI-driven growth strategy' as the reason for the layoffs
20
jobs cut
Microsoft cut ~9,000 employees at the start of its fiscal year 2026, explicitly tied to cost control as AI infrastructure spending climbs. Roles cut across sales, consulting, and Xbox.
Microsoft Cuts ~9,000 Jobs in July 2026 Round ↗9,000
jobs cut
Oracle's annual regulatory filing confirmed: "The adoption and deployment of AI technologies across our operations have resulted, and may continue to result, in reductions to our workforce." 21,000 roles eliminated over the prior 12 months.
Oracle sheds 21,000 roles over the past year amid wave of AI layoffs from tech giants ↗21,000
jobs cut
GitLab cut roughly 350 workers (14% of staff) to fund AI infrastructure investment and handle surging traffic from AI workflows.
GitLab lays off 350 employees to fund AI infrastructure amid surging demand ↗350
jobs cut
CEO Sasan Goodarzi cited AI restructuring as the driver, reallocating capital toward AI partnerships with Anthropic and OpenAI and reducing complexity across the organisation.
Intuit to lay off over 3,000 employees to refocus on AI ↗3,000
jobs cut
Cisco explicitly cited AI-driven restructuring as the reason for cutting approximately 4,000 jobs.
4,000
jobs cut
PayPal announced plans to cut 4,760 jobs (20% of workforce) over 2–3 years. New CEO Enrique Lores framed it as a technology and culture reset, stating the company is "aggressively adopting AI" in development processes to compete with Stripe, Adyen, and Apple Pay.
PayPal plans job cuts as new CEO pursues AI-driven turnaround strategy ↗4,760
jobs cut
Coinbase cut 700 employees (14% of workforce) as CEO Brian Armstrong restructured the company for the "AI era" — replacing pure managers with AI-native "player-coach" roles and creating AI-agent pods that can replace entire multi-person teams.
Coinbase cuts headcount by 14% citing AI acceleration ↗700
jobs cut
Meta cut 8,000 jobs amid an AI spending push, with the cuts directly linked to reallocation of resources toward AI investment.
8,000
jobs cut
Snap's layoffs are explicitly linked to a trend of AI-powered tiny teams replacing larger workforces.
1,000
jobs cut
Block (Square and Cash App) cut 4,000 roles across its fintech divisions, citing AI automating payment processing, fraud detection, and customer support.
Block cuts 4,000 jobs as AI automates fintech operations at scale ↗4,000
jobs cut
Amazon cut 16,000 fulfilment-centre and logistics roles as next-generation AI robotics and demand-planning systems displaced warehouse workers.
Amazon cuts 16,000 warehouse and logistics roles as AI robotics scale ↗16,000
jobs cut
Pinterest cut 780 employees (~15% of workforce), citing AI content moderation and recommendation tools reducing the need for human operators.
Pinterest lays off 780 as AI handles content moderation and recommendations ↗780
jobs cut
Dow Chemical cut 4,500 jobs (6% of workforce), with leadership citing AI process-optimisation tools reducing the need for certain process engineering and operations roles.
Dow cuts 4,500 jobs citing AI-driven process automation ↗4,500
jobs cut
HP cut up to 5,000 jobs (5% of global workforce), citing AI tools substantially reducing headcount requirements in finance, IT, and supply chain.
HP to cut 5,000 jobs citing AI efficiency gains across operations ↗5,000
jobs cut
IBM cut 2,700 roles in continued AI-driven restructuring, with CEO citing AI agents automating knowledge-work and back-office tasks.
IBM cuts 2,700 in further AI-driven back-office restructuring ↗2,700
jobs cut
Chegg cut another 388 jobs and narrowed its product focus as AI tutoring platforms continue to take its subscriber base.
Chegg eliminates 388 more roles as AI tutoring accelerates decline ↗388
jobs cut
Amazon cut 14,000 corporate and AWS roles, citing AI-driven automation of cloud operations, customer service, and back-office functions.
Amazon cuts 14,000 corporate roles citing AI automation ↗14,000
jobs cut
C.H. Robinson cut 1,400 jobs after deploying AI freight-matching and load-planning tools that automate work previously done by human brokers.
C.H. Robinson cuts 1,400 as AI automates freight brokerage ↗1,400
jobs cut
Accenture announced 11,000 further role reductions, explicitly citing AI tools enabling consultants to deliver substantially more output per head.
Accenture cuts 11,000 more roles citing AI-driven productivity gains ↗11,000
jobs cut
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