RESEARCH

The Frontier Index

A proprietary benchmark that measures enterprise AI readiness across ten industries and five capability pillars. The Frontier Index cuts through marketing narratives to reveal where organizations genuinely stand in their AI transformation—and how fast the leaders are pulling away.

What We Measure

Five pillars that determine whether an enterprise can actually operationalize AI.

The Frontier Index evaluates organizations across five interdependent capability pillars: AI Strategy (the clarity and ambition of the enterprise AI vision), Data Infrastructure (the readiness of data systems to support AI at scale), Talent & Skills (the depth of AI expertise and the organization's capacity to build it), Governance (the maturity of risk, ethics, and compliance frameworks), and Operational Integration (how deeply AI is embedded into core business processes versus confined to experimental sandboxes).

Each pillar is scored from 0 to 100 based on a weighted composite of quantitative metrics and qualitative assessment. The aggregate produces a single Frontier Index score that allows meaningful comparison across industries, geographies, and time.

PILLAR BREAKDOWN

Where enterprises are strongest—and where they fall short

Across all industries, strategy scores highest while operational integration remains the weakest pillar. Most enterprises have an AI vision. Far fewer have embedded AI into how work actually gets done.

Average Score by Pillar (all industries)

AI Strategy
52/100
Data Infrastructure
47/100
Talent & Skills
39/100
Governance
33/100
Operational Integration
29/100

Methodology

The Frontier Index is built on three data sources. First, a structured survey of 1,200+ enterprise leaders across ten industries, covering strategy, data, talent, governance, and operational deployment. Second, proprietary engagement data from xefai advisory work, giving us ground-truth visibility into what organizations actually look like on the inside. Third, public and regulatory data on AI investment, patent activity, workforce composition, and reported AI incidents.

Scores are normalized within each pillar and then weighted based on empirical importance: pillars that more strongly predict successful AI scaling receive higher weight. The weighting model is recalibrated annually as the relationship between capabilities and outcomes evolves. We publish the methodology in full so that the index can be scrutinized and used with confidence.

INDUSTRY RANKINGS

Where industries stand in 2025

Technology leads, but the gap between sectors is widening. Financial services and pharma are advancing fast, while construction and public sector remain in the early stages of meaningful AI adoption.

Frontier Index Score by Industry (2025)

Technology
76/100
Financial Services
69/100
Pharmaceuticals
61/100
Telecommunications
55/100
Healthcare
49/100
Manufacturing
44/100
Energy & Utilities
38/100
Retail & CPG
36/100
Public Sector
28/100
Construction
19/100

TREND

The readiness gap is accelerating

Average scores are rising, but the top quartile is pulling away dramatically. Between 2021 and 2025, top-quartile enterprises increased their Frontier Index score by 40 points. The average improved by 34. The gap is compounding.

02040608020212022202320242025Top QuartileAvg. Frontier Index Score

KEY FINDINGS

What the data tells us

Governance is the bottleneck

The lowest-scoring pillar across every industry is governance. Enterprises are investing heavily in AI capabilities while systematically underinvesting in the frameworks needed to deploy those capabilities responsibly and at scale. This is not a compliance issue—it is an operational one. Without governance maturity, scaling stalls.

Talent defines the ceiling

Organizations with above-median talent scores are 3.2x more likely to have AI embedded in three or more core processes. Talent is not just about hiring data scientists. It is about building AI literacy across the enterprise and redefining roles to work alongside AI systems rather than around them.

Strategy without integration is theater

78% of surveyed enterprises report having an AI strategy. Only 23% score above 40 on operational integration. The gap between articulating a vision and embedding it into the way the organization operates remains the central failure mode of enterprise AI programs.

Industry convergence is a myth

The narrative that all industries are converging toward AI maturity is not supported by the data. The spread between top and bottom industries has widened every year since 2021. Structural differences in data availability, regulatory environment, and workforce composition create persistent advantages for some sectors over others.

Benchmark your organization

The Frontier Index is available as a custom assessment for enterprises that want to understand exactly where they stand—and what it will take to close the gap.