The AI Job Clock records confirmed, publicly reported job reductions at major companies where artificial intelligence was cited as a contributing factor. We record the announcement — not a causal proof. Our unit of measurement is the stated figure from the company or a credible secondary source.
Each entry represents one company–event pair. If a company has had multiple rounds of AI-linked cuts, we track the cumulative confirmed figure or the most recent announced total.
Each entry is rated on editorial confidence based on the strength of the AI link:
The company or a named senior executive explicitly cited AI, automation, or AI agents as a direct reason for the workforce reduction.
The company announced significant AI investment and workforce cuts in the same period. No explicit causal link stated, but the connection is publicly reported and widely discussed.
AI deployment at the company preceded the reduction. No direct statement from the company linking the two. Most editorially subjective rating.
Beyond confidence, each entry also carries an attribution level — how explicitly the company blamed AI for the cuts:
Company or named executive explicitly cited AI as the reason for the specific workforce reduction. The strongest form of attribution.
AI investment and cuts were announced in the same period and widely reported as connected, but no explicit company statement directly links them.
AI deployment preceded or coincided with cuts, but no explicit company statement. The editorial connection is inferred from public evidence.
Company cited AI as the reason but analysts, media, or employees have questioned whether AI was genuinely the driver or a pretext for other business decisions.
Each entry is tagged with the primary type of AI involved in the displacement:
LLMs, ChatGPT-class tools, AI copilots. Content and knowledge work displaced by general-purpose language models.
AI chatbots specifically replacing customer service and support functions.
RPA, process automation, AI-driven workflow optimisation in operations, HR, finance, and logistics.
AI replacing software engineering and development roles specifically.
Broad company pivot to AI — not one specific technology but a structural decision to reallocate from traditional to AI-focused roles.
Multiple AI types combined, or the specific technology was not identified in the announcement.
Each entry lists the specific business functions or departments affected by the AI-linked cuts. Categories tracked:
All entries are derived from public records: press releases, earnings call transcripts, CEO memos, WARN Act filings, SEC disclosures, and credible journalism. Each entry links to its primary source.
Live news is refreshed every 15 minutes from Google News RSS feeds (global + Australia-specific). Seed data is reviewed and updated monthly.
- Many companies restructure without citing AI publicly — our data undercounts actual AI displacement.
- Contractor and freelancer losses are systematically underreported in public announcements.
- Redeployment and reskilling outcomes are rarely disclosed — workers may have been reabsorbed internally.
- Job creation due to AI is tracked separately and not reflected in displacement figures.
- Australian data is more complete than other regions due to editorial focus.
- Small and mid-sized enterprise displacement is almost entirely untracked globally.
- That AI was the sole or primary cause of any specific layoff
- That all affected workers permanently lost employment
- That figures are precise — most are estimates derived from public statements
- That this index is comprehensive — it covers major companies with public announcements only
- That the Goldman Sachs 300M figure represents confirmed job losses — it is a 2023 projection of roles exposed to automation