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Chapter 04 / 06
Benchmarking

Competitive Benchmarking

Austria's Position in the European AI Landscape

Top-10 on quality. Mid-pack on quantity. Second-slowest salary growth in Western Europe. The gap is horizontal, not vertical.

11 min readSource: Revelio Labs via WRDS · Ch. 4
#3 / 38
Core share rank
#19 / 38
Core density rank (per 1,000)
+873
Specialists to match Germany
$91K
Median AI salary (#8 Europe)

Austria's European position is not one of weak capability. It is high workforce depth on a relatively small installed base. With 4,082 Core AI specialists, Austria ranks #14 in absolute headcount but #3 in Core share. That combination is strategically encouraging: scale can be built; technical depth is harder to create from scratch.

The agenda is concrete: accelerate Build-tier supply, convert salary competitiveness into real attraction, spread demand beyond Vienna, and set quantified density targets. Austria needs +873 Core specialists to match Germany and +2,988 to reach the Small Innovator median.

EXHIBIT 4.1

Austria's 2025 Core AI scorecard

Top-tier on quality (Core share #3, salary #8, seniority #11). Mid-pack on scale (density #19, CAGR #26, Build share #15).

MetricValueRankPosition
Core AI share40.5%#3 / 38
Median AI salary$91K#8 / 38
Mean seniority3.09/7#11 / 38
Integrate share33.9%#4 / 38
Core density /1k0.91#19 / 38
Build share11.5%#15 / 38
Enable share30.8%#26 / 38
Workforce CAGR12.7%#26 / 38
Key findings
  • Core AI share (40.5%) is Austria's signature strength — behind only Germany and Switzerland.
  • Core density (0.91/1,000) is the clearest gap metric — 35% below DACH average.
  • The scorecard is unambiguous: Austria does not need to build quality. It needs to build scale without diluting quality.
Source: Revelio Labs via WRDS · 38 European countries
EXHIBIT 4.2

Core AI density — European ranking

Key findings
  • Austria (0.91/1,000) sits 19/38 — above the European median (0.86), below every DACH peer.
  • Netherlands (7.2), Denmark (5.5), Switzerland (4.5) deploy 5–8× Austria's density.
  • Core density rose from 0.58 (2018) to 0.91 (2025) — a 57% gain — but the gap to leaders has widened.
Source: Revelio Labs via WRDS · Chapter 4
EXHIBIT 4.3

Depth vs scale — Austria's strategic position

Upper-left quadrant: high depth, lower scale. The desired move is rightward — raising density while preserving depth.

Key findings
  • Austria's 40.5% Core share places it in the top 3 on the depth axis — not inflated by peripheral roles.
  • The gap to peers is horizontal, not vertical — Austria must move right (more deployment) without going down (diluting depth).
  • The Netherlands and Denmark show that small countries can achieve 5–7× Austria's density at respectable Core shares.
Source: Revelio Labs via WRDS · Chapter 4
EXHIBIT 4.4

Tier composition — Austria vs European peers

Key findings
  • Austria's Adjacent share (23.8%) is low — the workforce is more technically genuine than many peers.
  • Enable (30.8%) and Integrate (33.9%) are substantial — the scaling foundation is already in place.
  • Build is the binding constraint — at 11.5%, Austria trails every DACH peer. The 2.4pp gap to Germany = ~240 missing Build specialists.
Source: Revelio Labs via WRDS · Chapter 4
EXHIBIT 4.5

Scaling roadmap — concrete targets

Key findings
  • Germany is within reach: +873 Core specialists — roughly 3 years at current net-addition rates.
  • DACH average requires +2,188 to reach 6,270 — ~7 years at current rates, 4 years if net adds rise to 550/yr.
  • Timing depends on retention as much as on inflow — every departure prevented is worth as much as a new graduate recruited.
Source: Revelio Labs via WRDS · Chapter 4
Methodology

Benchmarks against 38 European countries using Revelio Labs via WRDS. Austria's baseline is synchronised to Chapter 1's 4,082 Core AI specialists. Density denominator: Eurostat official employment (2024 latest). Salaries are machine-imputed USD. Coverage varies by country (Austria: ~22.5%, due to XING prevalence in DACH). Within-country trends are robust; absolute cross-country headcount comparisons should carry the coverage caveat.