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Intelligence Impact Quotient (IIQ): A Framework for Measuring Organizational AI Impact

Amit Bahree, Chandan Rajah, Federico Castanedo, Larry Murray, Neha Sengupta, Ramesh Krishnan Muthukrishnan, Robin Mills

The Intelligence Impact Quotient combines novelty-weighted token stock with usage frequency, leverage, task complexity, and autonomy to yield comparable 0-1000 scores of AI integration depth.

arxiv:2605.14455 v1 · 2026-05-14 · cs.AI · cs.LG

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Claims

C1strongest claim

The formulation produces a raw Intelligence Adoption Index (IAI) and a normalized 0-1000 IIQ index for comparison between heterogeneous users and units.

C2weakest assumption

That the chosen combination of novelty-weighted token stock, usage frequency, leverage, complexity, and autonomy accurately quantifies integration depth and impact without post-hoc fitting or external validation against real outcomes.

C3one line summary

IIQ is a new 0-1000 normalized index that measures organizational AI impact via a novelty-weighted, time-decayed token stock plus usage frequency, leverage, complexity, and autonomy factors.

References

9 extracted · 9 resolved · 1 Pith anchors

[1] Anthropic Economic Research. 2026. Anthropic Economic Index: New building blocks for understanding AI use. https://www.anthropic.com/research/economic-index-primitives 2026
[2] Anthropic Economic Research. 2025. Anthropic Economic Index: AI's impact on software development. https://www.anthropic.com/research/impact-software-development 2025
[3] Miles McCain et al. 2026. Measuring AI agent autonomy in practice. Anthropic. https://www.anthropic.com/research/measuring-agent-autonomy 2026
[4] 2025.Char- acterizing AI Agents for Alignment and Gover- nance 2025
[5] Thomas Kwa, Ben West, Joel Becker, et al. 2025. Measuring AI Ability to Complete Long Tasks. METR. https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ 2025
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First computed 2026-05-17T23:39:06.846144Z
Builder pith-number-builder-2026-05-17-v1
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Schema pith-number/v1.0

Canonical hash

365fd76bf40e106e975935968d6eb3775f03dd8afb6c8b00fa0efae5c74aea4e

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arxiv: 2605.14455 · arxiv_version: 2605.14455v1 · doi: 10.48550/arxiv.2605.14455 · pith_short_12: GZP5O27UBYIG · pith_short_16: GZP5O27UBYIG5F2Z · pith_short_8: GZP5O27U
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GZP5O27UBYIG5F2ZGWLI23VTO5 \
  | jq -c '.canonical_record' \
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Canonical record JSON
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