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Every citation on the site, in one place.

We discount vendor productivity claims. We don't publish unsourced quantitative outcomes. The page below is the structural commitment to that rule — every research citation referenced anywhere on Far West Consulting, in numeric order, with verification status disclosed in plain language.

Citations marked verified on publish were sourced and confirmed against the primary publication before going live. The pre-publish verification structure remains in place for any future citation as the site evolves; if a citation is added before its primary source is confirmed, it surfaces in a pending queue below and the production deploy is gated until resolved.

For our practice's working AI infrastructure — named tools, named artifacts, named processes — see How we use AI.

  1. Footnote 1 · Verified on publish · 2026-05-04

    Gartner press release, June 25, 2025: "Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027." (Source: gartner.com newsroom.)

    Source: gartner.com newsroom

  2. Footnote 2 · Verified on publish · 2026-05-04

    Microsoft 2025 Work Trend Index, APAC release (April 30, 2025): "APAC emerges as global AI frontrunner."

    Source: Microsoft Work Trend Index 2025 APAC release

  3. Footnote 3 · Verified on publish · 2026-05-04

    MIT NANDA / State of AI in Business 2025.

    Source: MIT NANDA State of AI in Business 2025

  4. Footnote 4 · Verified on publish · 2026-05-04

    Grant Thornton AI Governance Readiness Survey, April 2026.

    Source: Grant Thornton 2026 survey

  5. Footnote 5 · Verified on publish · 2026-05-05

    KPMG, The importance of value streams in the age of AI (2024). Author: Adrian Clamp. Source: kpmg.com/xx/en/our-insights/ai-and-technology/the-importance-of-value-streams-in-the-age-of-ai.html.

    Source: kpmg.com/xx/en/our-insights/ai-and-technology/the-importance-of-value-streams-in-the-age-of-ai.html

  6. Footnote 6 · Verified on publish · 2026-05-05

    Microsoft Research, GitHub Copilot randomized controlled trial — n=200+ engineers, randomized. Telemetry showed no measurable productivity improvement, despite engineers self-reporting time savings (2024).

    Source: Microsoft Research GitHub Copilot RCT 2024

  7. Footnote 7 · Verified on publish · 2026-05-05

    Brynjolfsson et al., Quarterly Journal of Economics 2025 — field experiment, n=5,172 customer service agents. AI assistance produced +30% productivity for low-skill workers, ~0% for high-skill workers, and a measurable quality decline at the top of the skill distribution.

    Source: Brynjolfsson Quarterly Journal of Economics 2025

  8. Footnote 8 · Verified on publish · 2026-05-12

    Acemoglu, The Simple Macroeconomics of AI, NBER Working Paper 32487 (2024) — total factor productivity contribution at most 0.66% over 10 years (≈0.06%/year).

    Source: NBER Working Paper 32487

  9. Footnote 9 · Verified on publish · 2026-05-14

    Nielsen, 4 Metaphors for Working with AI: Intern, Coworker, Teacher, Coach (UX Tigers).

    Source: UX Tigers / Nielsen

  10. Footnote 10 · Verified on publish · 2026-05-05

    Regulation (EU) 2024/1689 of the European Parliament and of the Council (the EU AI Act), Article 4 — AI literacy. Imposes on providers and deployers of AI systems the obligation to ensure a sufficient level of AI literacy of their staff. Adopted June 2024; AI-literacy obligation in force as of 2 February 2025. Source: eur-lex.europa.eu/eli/reg/2024/1689.

    Source: eur-lex.europa.eu/eli/reg/2024/1689

  11. Footnote 11 · Verified on publish · 2026-05-14

    US Department of Labor, AI Literacy Framework — five core competency areas (February 2026).

    Source: US DOL AI Literacy Framework

  12. Footnote 12 · Verified on publish · 2026-05-05

    Reif, J.A., Larrick, R.P., & Soll, J.B. (2025). Evidence of a social evaluation penalty for using AI. Proceedings of the National Academy of Sciences. n>4,400 across four experiments. DOI: 10.1073/pnas.2426766122.

    Source: doi.org/10.1073/pnas.2426766122

  13. Footnote 13 · Verified on publish · 2026-05-13

    The Impostor Phenomenon of Workplace Artificial Intelligence Augmentation. Academy of Management Proceedings, Vol. 2024 (148bp). Source: journals.aom.org/doi/abs/10.5465/AMPROC.2024.148bp.

    Source: journals.aom.org/doi/abs/10.5465/AMPROC.2024.148bp

  14. Footnote 14 · Verified on publish · 2026-05-05

    Slack Workforce Lab. The Fall 2024 Workforce Index. November 12, 2024. Source: slack.com/blog/news/the-fall-2024-workforce-index-shows-executives-and-employees-investing-in-ai-but-uncertainty-holding-back-adoption.

    Source: slack.com/blog/news/the-fall-2024-workforce-index-shows-executives-and-employees-investing-in-ai-but-uncertainty-holding-back-adoption

  15. Footnote 15 · Verified on publish · 2026-05-13

    Gillespie, N. & Lockey, S. Trust, Attitudes and Use of Artificial Intelligence: A Global Study 2025. University of Melbourne / KPMG. April 2025. Source: kpmg.com/xx/en/media/press-releases/2025/04/trust-of-ai-remains-a-critical-challenge.html.

    Source: kpmg.com/xx/en/media/press-releases/2025/04/trust-of-ai-remains-a-critical-challenge.html

  16. Footnote 16 · Verified on publish · 2026-05-14

    Kusumegi, K. et al. Scientific production in the era of large language models. Science, Vol. 390, Issue 6779. December 24, 2025. DOI: 10.1126/science.adw3000. Source: science.org/doi/10.1126/science.adw3000.

    Source: science.org/doi/10.1126/science.adw3000

  17. Footnote 17 · Verified on publish · 2026-05-14

    Axios HQ. 2025 State of Internal Communications. Survey of 457 business executives and 813 knowledge workers across U.S. industries. Source: axioshq.com/research/state-of-internal-communications-report.

    Source: axioshq.com/research/state-of-internal-communications-report

  18. Footnote 18 · Verified on publish · 2026-05-14

    Model AI Governance Framework for Generative AI, published by the AI Verify Foundation and Singapore's Infocomm Media Development Authority (IMDA), May 2024. Builds on the traditional Model AI Governance Framework (Second Edition, Personal Data Protection Commission, January 2020). A principle-based AI governance reference. Source: aiverifyfoundation.sg.

    Source: aiverifyfoundation.sg

  19. Footnote 19 · Verified on publish · 2026-05-14

    William Bridges, Transition Model. Three phases: Ending / Losing / Letting Go, the Neutral Zone, and the New Beginning. Distinguishes external change (the situational event) from internal transition (the psychological process people move through). Canonical reference: William Bridges, Managing Transitions: Making the Most of Change (1991; current edition with Susan Bridges). Source: wmbridges.com.

    Source: wmbridges.com/about/what-is-transition/

  20. Footnote 20 · Verified on publish · 2026-05-14

    Cynefin Framework, created by David J. Snowden in 1999. A sense-making framework with four primary domains: Clear, Complicated, Complex, and Chaotic — each calling for a different decision posture, plus a central state of Disorder. Foundational article: Snowden, D.J. & Boone, M.E., "A Leader's Framework for Decision Making," Harvard Business Review, November 2007. Current stewardship: The Cynefin Company (formerly Cognitive Edge). Source: thecynefin.co.

    Source: thecynefin.co/about-us/about-cynefin-framework/

How we use sources

Primary sources where available. Peer-reviewed journal articles and institutional research with disclosed methods. We don't cite vendor-published productivity claims as evidence — those are useful as industry signals, not as the basis for an offer.

Disclosed methods. Where a study's sample size, time horizon, or methodology shapes how the finding should be applied, we surface those details in the citation rather than burying them in a one-sentence claim. Readers can judge weight without pulling the paper.

Pre-publish verification. Every citation on the site is gated through a build-time check (`scripts/check-verifications.mjs`). Production deploys block until every footnote is verified. The page above is the public face of that internal discipline.

The vendor-claim discount applies to us too. Far West Consulting doesn't publish quantitative outcome claims about its own engagements without disclosed methods, sample, and time horizon in the same breath. The page you're reading is the structural commitment.