STRATAHELM · COMMUNITY AI EXPOSURE & RESILIENCE INDEX

Talbot County, Georgia

CAERI NationalGeorgia › Talbot County · FIPS 13263 · caeri:13263
65.5
CAERI score (national basis)
Top 10%
National percentile band
#207
Ranked of 3142 U.S. counties
#18
Ranked in Georgia (of 159)
Low
Confidence

Two comparisons, both shown. The national basis ranks Talbot County against every scored U.S. county — its percentile band above is a relative national standing, not a condition. The in-state basis ranks it against Georgia's other counties (rank and percentile only — bands aren't meaningful within a single state). A county can stand out in its own state while sitting mid-pack nationally. Neither is a forecast.

Pillar breakdown — national percentile ranks

P1 · Direct occupational exposure
49
P2 · Economic concentration
69
P3 · Adaptive capacity (inverted)
24
P4 · Regional buffer (inverted)
36
P5 · Fiscal sensitivity
92
Zone shading marks percentile quartiles; darker and warmer means more concerning. Capacity and buffer bars (inverted before aggregation) read mirrored — for those, a higher percentile is the safer pale end.

What this means for Talbot County

Talbot County scores 65.5 on the national CAERI basis — 207th of 3,142 scored U.S. counties, placing it in the Top 10% band nationally by percentile, with a low-confidence rating. Within Georgia it ranks 18th of 159 counties (89th in-state percentile). The score summarizes how concentrated local employment is in AI-exposed occupations against the economy's measured capacity to adapt; these are relative-standing bands, not a projection of local job change.

Direct occupational exposure stands at the 49th national percentile. The largest concentrations of locally estimated employment in high-exposure occupations are elementary school teachers, except special education, office clerks, general, secondary school teachers, except special and career/technical education. The share of exposed-industry jobs held by workers under 25 is 0% — well below the state median of 9%; research on AI-era payrolls finds early-career roles in exposed work are where hiring patterns shift first, so this share indicates how soon exposure could be felt, not how large it is.

The share of exposed-industry jobs held by workers 55 and over is 32% (well above the state median) — a higher share historically means slower workforce adjustment when industries restructure. Fiscal sensitivity ranks at the 85th percentile among Georgia's counties. Census of Governments data shows state aid at 4% of this county's general revenue (below the state median), and wage- and consumption-sensitive streams (sales, income, and similar own-source taxes, where levied) at 50% of own-source revenue. Property taxes, which respond to economic change more slowly, are counted separately and are not part of that sensitive share. How this state's aid formulas and tax structure carry economic change into local budgets is covered in the state-specific fiscal analysis available to subscribers. All county occupation figures on this page are model-based ESTIMATES with the confidence rating shown above.

Largest locally-estimated employment in high-exposure occupations

Across all 164 high-exposure occupations (top quartile of ensemble exposure) with estimated local employment, Talbot County has an estimated 180 jobs — 22.8% of county employment — carrying an estimated $11M annual wage bill in high-exposure work. The five largest:

OccupationEst. local employment*Exposure (0–1)Median wage (area)
Elementary School Teachers, Except Special Education220.43$60,260
Office Clerks, General120.44$36,350
Secondary School Teachers, Except Special and Career/Technical Education110.49$61,270
Customer Service Representatives100.42$36,680
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive100.50$36,790
*County-level occupation figures are model-based ESTIMATES, not surveyed counts (see methodology §5 summary); every county carries the confidence rating shown above. Wage = area median.

Age structure of exposed-industry employment

Talbot CountyGeorgia median
Share of exposed-industry jobs held by workers under 25 (entry rung) 0.0%8.6%
Share of exposed-industry jobs held by workers 55+ (adjustment friction) 32.5%26.0%

🔒 City-level detail for its cities and towns

The county number above averages over every community in it. City- and place-level exposure profiles, employer-mix detail, trend monitoring, and peer benchmarking are part of the CAERI subscription for local governments and regional organizations.

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Cite this page

Canonical identifier: caeri:13263 — this URL is permanent; if the address scheme ever changes, the old address will redirect. StrataHelm. (2026). Talbot County, Georgia — Community AI Exposure & Resilience Index (CAERI v0.3.1) [Data set]. Retrieved August 4, 2026, from https://stratahelm.com/counties/georgia/talbot/ “Talbot County, Georgia — CAERI.” StrataHelm, 2026, stratahelm.com/counties/georgia/talbot/. Accessed 4 August 2026. StrataHelm. “Talbot County, Georgia — Community AI Exposure and Resilience Index (v0.3.1).” 2026. https://stratahelm.com/counties/georgia/talbot/
Embed this county's score card — attribution to StrataHelm CAERI and the link back are part of the embedded page and cannot be stripped:<iframe src="https://stratahelm.com/counties/georgia/talbot/embed/" width="420" height="275" loading="lazy" title="CAERI — Talbot County, GA"></iframe>

Machine-readable: this county's JSON · national dataset download and data dictionary on the methodology page.

Nearby and comparable counties

Lee Co., GA (in state)Sumter Co., GA (in state)Baker Co., GA (in state)Talbot Co., MD (similar score)Walker Co., TX (similar score)Stanley Co., SD (similar score)

Links point to the economically nearest counties (in-state, and similar national score). County-level geographic adjacency is not part of the public reference data, so proximity here is by rank, not by shared border.

Sources & provenance

LayerSources (vintage)
Employment & occupation structurecbp_ga_county_naics4: Census CBP 2023 API (NAICS2017 classification; PAYANN in $1,000s; noise infusion G/H/J bands, D = withheld -&gt; NaN); county_soc_estimates.meta_ga.json; exposure_scores: 2026-07-04; matrix_staffing_patterns: 2024-34 National Employment Matrix (base year 2024)
AI-exposure research baseAnthropic Economic Index; Felten, Raj & Seamans (AIOE); Eloundou et al. — combined as a weighted ensemble with cross-source disagreement feeding the confidence rating
Capacity, buffer & fiscalgovfin_ga_county_revenue_mix: 2022 Census of Governments, Survey of Government Finances; lodes_ga_county_flows: LEHD LODES8 OD 2023, JT00/S000; sources: ga_main, ga_aux, al_aux, fl_aux, nc_aux, sc_aux, tn_aux; qwi_ga_county_naics3_age: Census QWI (qwi/sa), quarters [&#x27;2024-Q4&#x27;, &#x27;2025-Q1&#x27;, &#x27;2025-Q2&#x27;, &#x27;2025-Q3&#x27;], sex=0, ownercode=A05 (private), 96 NAICS-3 + &#x27;00&#x27; all-industry
MethodologyCAERI v0.3.1 · public methodology · scores generated 2026-07-12 · page generated 2026-08-04
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