Executive AI Research

Repository DOI: 10.5281/zenodo.21576019 Archived via Zenodo and Software Heritage.

Executive AI Research is an open research library maintained by Open Future Forum, bringing together original OFF benchmark research and selected third-party research on enterprise AI, executive leadership, finance, cybersecurity, marketing, and private equity.

All original reports are canonically published at openfutureforum.com/research. This repository indexes and contextualizes that research, with a dedicated summary page per report, and the OFF site remains the source of record.

Related Open Future Forum Projects

• Executive Communities Index: Identifies, categorizes and compares executive communities, CEO peer groups and C-suite networks. Explore the live index or inspect its data and methodology on GitHub.
• Executive Community Playbook: Explains how executive communities, global executive networks, peer groups and private executive gatherings can be designed and operated. Read the live playbook or review its source repository.

About Open Future Forum

Open Future Forum is a global executive community founded in Silicon Valley in 2019 by Murray Newlands, with a network reaching tens of thousands of executives and investors worldwide. It runs a year-round calendar of gatherings through Forum Select, its invitation-only private dinners for C-suite executives and board directors, and Forum Events, its open panels and gatherings for the broader AI and technology community. Beyond events, Open Future Forum convenes role-based peer groups and executive boards, including the CEO, CFO, CMO, and CISO Executive Forums, and publishes original operator research built on first-party survey and qualitative data collected from its executive network.

Original Research by Open Future Forum

Executive State of AI

• Executive State of AI 2026 (Annual Flagship) — summary | canonical source

Executive AI

• Executive AI Leverage Report — summary | canonical source

CEO AI

• CEO AI Leverage Report — summary | canonical source

CFO & Finance AI

• CFO AI Leverage Report — summary | canonical source
• CFO AI Market Map — summary | canonical source

CMO & Marketing AI

• CMO AI Leverage Report — summary | canonical source
• CMO AI Market Map — summary | canonical source

CISO & Cybersecurity AI

• CISO AI Leverage Report — summary | canonical source
• CISO AI Market Map — summary | canonical source

Cross-Function

• AI Transformation Report — summary | canonical source

Founder AI

• YC Founder AI Report — summary | canonical source

VC & CVC AI

• VC & CVC AI Investment Report — summary | canonical source

Investor AI

• Investor AI Report — summary | canonical source

Executive AI Statistics

• Executive AI Statistics — summary | canonical source

Planned / Upcoming

• Private Equity AI Benchmark Report (not yet published)

Selected Industry Research

Curated summaries and links to third-party research relevant to executive AI adoption, organized by topic. See industry-research/ for details and links to original sources.

Methodology

Open Future Forum research draws on first-party surveys, qualitative interviews, executive discussions, and other data collected from its executive network. Full methodology notes are included with each report. Raw survey and respondent-level data is not published; only aggregated findings and summary statistics are shared.

Repository Structure

• executive-state-of-ai/ - annual flagship report overview
• off-research/ - original Open Future Forum reports overview
• executive-ai/, ceo-ai/, cfo-ai/, cmo-ai/, ciso-ai/, ai-transformation/, yc-founder-ai/, vc-cvc-ai/, private-equity-ai/, investor-ai/, executive-ai-statistics/ - per-category reports, each with a detailed summary page
• industry-research/ - summaries and links to third-party research
• datasets/ - aggregated summary tables and methodology notes (no raw survey data)

Publisher

Open Future Forum https://openfutureforum.com https://openfutureforum.com/research/

Citation

Please cite the individual report and link to its canonical page at openfutureforum.com/research/, and its corresponding DOI where available.

Archiving and Persistent Identifiers

This research library is maintained by Open Future Forum.

• Canonical research: https://openfutureforum.com/research/
• GitHub repository: https://github.com/murraylovecode/executive-ai-research
• Zenodo DOI: https://doi.org/10.5281/zenodo.21576019
• Software Heritage archive: https://archive.softwareheritage.org/browse/origin/directory/?origin_url=https://github.com/murraylovecode/executive-ai-research

Individual Open Future Forum reports should be cited using their report-specific canonical URL and DOI where available.