01
FINANCE / BANKINGCS, back office, junior analysts, AP, reconciliation
78
+2.3
+18.1
22,400tracked
▁▃▅▆▇▇▇
CRITICAL
02
LEGAL SERVICESDoc review, paralegal, contract analysis, IP search
75
+0.9
+14.6
8,150tracked
▂▃▄▅▆▇▇
CRITICAL
03
TECH / SOFTWAREQA, T1 support, junior eng, documentation, content
72
+1.8
+12.4
14,200tracked
▁▂▃▅▆▇▇
HIGH
04
MARKETING / MEDIACopywriting, SEO, creative production, junior strat
70
+1.4
+11.2
16,800tracked
▁▂▄▅▆▇▇
HIGH
05
CUSTOMER SERVICEInbound voice, chat, retention, billing inquiries
68
+1.6
+13.8
19,500tracked
▁▂▃▅▆▇▇
HIGH
06
PROFESSIONAL SERVICESJunior consultants, accounting, audit, research
58
+0.7
+6.8
12,300tracked
▁▂▃▄▅▆▆
ELEVATED
07
RETAIL / E-COMMERCEInventory, merchandising, customer ops, listings
52
+0.4
+4.1
18,200tracked
▁▂▃▃▄▅▅
ELEVATED
08
LOGISTICS / TRANSPORTDispatch, customs, route planning, doc handling
48
+0.6
+5.2
9,100tracked
▁▂▃▃▄▄▅
MODERATE
09
HOSPITALITY / TRAVELReservations, concierge, bookings, customer admin
38
+0.3
+2.8
7,400tracked
▁▂▂▃▃▃▄
MODERATE
10
MANUFACTURINGFloor ops, QC, scheduling, production planning
32
+0.2
+1.4
5,200tracked
▁▁▂▂▃▃▃
MODERATE
11
EDUCATIONTeaching, curriculum, admin, support staff
28
+0.1
+1.0
4,100tracked
▁▁▂▂▂▂▃
LOW
12
HEALTHCAREClinical roles, nursing, allied health, in-person care
22
+0.1
+0.6
3,300tracked
▁▁▁▂▂▂▂
LOW
13
CONSTRUCTION / TRADESSkilled trades, on-site labor, physical work
12
+0.0
+0.2
1,300tracked
▁▁▁▁▁▁▂
LOW
[ METHODOLOGY ]
How the index is calculated.
Each sector's risk score is a weighted average of the role-level displacement scores for every role in that sector that the Clankers model tracks. The model scores individual roles on a 0–100 scale based on six factors:
[ FACTOR.01 ]
Task decomposability
How much of the role consists of pattern-matching work that current AI tooling can already perform reliably.
[ FACTOR.02 ]
Tool adoption velocity
How quickly the relevant AI tools are being deployed in the role's industry — a leading indicator of timing.
[ FACTOR.03 ]
Real-world layoff data
Aggregated layoff signals from the past 18 months, weighted toward AI-attributed restructuring events.
[ FACTOR.04 ]
Defensive moats
Customer trust requirements, physical presence needs, regulatory gatekeeping — features that delay automation.
[ FACTOR.05 ]
Reskilling adjacency
How close the role sits to safer adjacent roles — measures the cost of internal redeployment vs replacement.
[ FACTOR.06 ]
Time-to-impact window
12 months vs 5 years vs "probably safe" — anchors the score to a realistic timeline rather than alarmism.
Sector scores update monthly as new layoff signals arrive and the model rescores. The 30-day delta column shows the change from the prior month's index value. The 1-year delta shows the change from twelve months ago. Both are leading indicators — by the time a sector moves five points, the underlying role-level scores have already moved much further.