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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 were sourced and confirmed against the primary publication before going live; the date shown is the last time we re-read the source. 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 · 2026-10-05

    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 · 2026-10-05

    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 · 2026-10-05

    MIT Project NANDA. The GenAI Divide: State of AI in Business 2025 (preliminary findings, July 2025). Method: review of 300+ public AI initiatives, interviews with 52 organizations, and 153 survey responses from senior leaders, January to June 2025. Not peer-reviewed; the authors describe their figures as directionally accurate.

    Source: MIT Project NANDA, The GenAI Divide: State of AI in Business 2025

  4. Footnote 4 · Verified · 2026-10-05

    Grant Thornton, AI Impact Survey, press release of April 13, 2026: nearly 1,000 senior U.S. business leaders surveyed in early 2026. More than three-quarters (78%) lack full confidence that their organization could pass an independent AI governance audit within 90 days.

    Source: Grant Thornton AI Impact Survey (April 13, 2026)

  5. Footnote 5 · Verified · 2026-10-05

    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 · 2026-10-05

    Butler, J., Suh, J., Haniyur, S., & Hadley, C. Dear Diary: A randomized controlled trial of Generative AI coding tools in the workplace. arXiv:2410.18334, October 24, 2024 (preprint). A three-week trial at one software company: 269 engineers enrolled, 106 analysed. Developers given GitHub Copilot rated the tools more useful and enjoyable; telemetry (code changes, pull requests, pull-request hours, development time) showed no statistically significant difference, and the authors note the trial may have been too short.

    Source: arxiv.org/abs/2410.18334

  7. Footnote 7 · Verified · 2026-10-05

    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 · 2026-10-05

    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 · 2026-10-05

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

    Source: UX Tigers / Nielsen

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

    Regulation (EU) 2024/1689 (the EU AI Act), Article 4, as replaced by Regulation (EU) 2026/1744 (Digital Omnibus on AI; Official Journal 24 July 2026; in force 27 July 2026): providers and deployers must take measures to support the development of AI literacy among their staff and others using AI systems on their behalf, without a duty to guarantee a specific level. Before the amendment the text required them to ensure a sufficient level (applicable from 2 February 2025). Source: eur-lex.europa.eu/eli/reg/2026/1744.

    Source: eur-lex.europa.eu/eli/reg/2026/1744

  11. Footnote 11 · Verified · 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 · 2026-10-05

    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 · 2026-10-05

    Zhao, P., & He, G. The Impostor Phenomenon of Workplace Artificial Intelligence Augmentation. Academy of Management Proceedings, Vol. 2024 (148bp), published online July 9, 2024. A conference paper. 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 · 2026-10-05

    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 · 2026-10-05

    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 · 2026-10-05

    Axios HQ. 2025 State of Internal Communications. Survey of 457 leaders and 813 employees at organizations of 11 or more people. Source: axioshq.com/insights/internal-communications-statistics.

    Source: axioshq.com/insights/internal-communications-statistics

  17. Footnote 17 · Verified · 2026-10-05

    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

  18. Footnote 18 · Verified · 2026-10-05

    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/

  19. Footnote 19 · Verified · 2026-10-05

    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/

  20. Footnote 20 · Verified · 2026-10-04

    Gartner press release, September 1, 2026: "Gartner Survey Finds Only 22% of Organizations Have Successfully Scaled AI Across Multiple Business Units." Survey of 1,303 respondents at organizations with enterprisewide annual revenue of at least $50 million in fiscal 2025, January to April 2026. (Source: gartner.com newsroom.)

    Source: gartner.com newsroom

  21. Footnote 21 · Verified · 2026-10-13

    Chris Martin, "How workers feel about AI in 2026," Glassdoor Economic Research, August 27, 2026. Analysis of AI mentions in US employer reviews on Glassdoor, May 2019 to May 2026; comment themes coded from reviews left June 2025 to May 2026. Sentiment is assigned by whether a mention sits under "pros" or "cons"; the report publishes no review count. (Source: glassdoor.com/blog/how-workers-feel-about-ai-2026.)

    Source: glassdoor.com/blog/how-workers-feel-about-ai-2026

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.