AINative Releases Free Whitepaper 'How to Build an AI-Native Organization' Analyzing Why 95% of AI Investments Fail
Key facts
- AINative Releases Free Whitepaper 'How to Build an AI-Native Organization' Analyzing Why 95% of AI Investments Fail
- AINative Co., Ltd. has released a free whitepaper for executives titled 'How to Build an AI-Native Organization.' Addressing the MIT study finding that 95% of generative AI investments yield zero results, the document explains how to restructure organizations for AI adoption using domestic and international case studies. The company is also offering complimentary 30-minute AI consultations for business leaders.
- Source: PR Times
- Date: June 15, 2026
Direct answer
AINative Co., Ltd. has released a free whitepaper for executives titled 'How to Build an AI-Native Organization.' Addressing the MIT study finding that 95% of generative AI investments yield zero results, the document explains how to restructure organizations for AI adoption using domestic and international case studies. The company is also offering complimentary 30-minute AI consultations for business leaders.
- Citation
- AINative Releases Free Whitepaper 'How to Build an AI-Native Organization' Analyzing Why 95% of AI Investments Fail (June 15, 2026), PR Times
- Source
- PR Times
- Date
- June 15, 2026
AINative Co., Ltd. has released a free whitepaper for executives titled 'How to Build an AI-Native Organization.' Addressing the MIT study finding that 95% of generative AI investments yield zero results, the document explains how to restructure organizations for AI adoption using domestic and international case studies. The company is also offering complimentary 30-minute AI consultations for business leaders.
📋 Article Processing Timeline
- 📰 Published: June 15, 2026 at 17:50
- 🔍 Collected: June 15, 2026 at 09:06
- 🤖 AI Analyzed: June 15, 2026 at 09:08 (2 min after Collected)
■ Why Release This Document Now?
A study published by the Massachusetts Institute of Technology (MIT) in 2025 showed that among investments made by companies in generative AI, 95% resulted in 'zero outcome.' Using this fact as a starting point, this document explains how executives can begin restructuring their organizations from the perspective that 'it is not that AI is weak, but rather the company has not transformed to receive it.'
Simply 'adding' AI (post-fitting) is entirely different from rebuilding both businesses and organizations from scratch on the premise of AI (AI-native). The same phenomenon that occurred during the rise of smartphones, where services that merely shrunk their PC websites were weeded out, is now happening with AI. This document clarifies this structure along with specific corporate examples.
■ What You Will Learn in This Document (Total 23 pages / 3-part structure)
Part 1 | Rebuilding the 'Organizational OS', Not Just People
Explaining the three components that make up the AI-native organizational OS:
1. Top commitment
2. Harness (an AI rulebook putting the company's judgment criteria into writing)
3. Token (making AI usage volume a new evaluation metric)
Furthermore, it demonstrates that changes in the Org OS manifest in three visible forms: recruitment, evaluation, and organizational shape (hourglass model).
Part 2 | How Global Companies Acted
This section illustrates companies that rebuilt and grew, such as Shopify, IBM, Anthropic, Cursor, and Duolingo, alongside companies that executed large-scale restructuring, including Meta, xAI, and Block. It reveals that both approaches are two sides of the same movement to restructure organizations for AI. It also features a lesson from Klarna, which rushed and compromised quality.
Part 3 | What Japanese Companies Should Do
Presenting actual data from six domestic companies, including DeNA, Panasonic Connect, Mercari, and KDDI. Based on this, it outlines the '4-step win strategy' commonly followed by successful companies, a roadmap to create small wins within 90 days without relying on large projects, and concrete measures to avoid pitfalls.
■ Recommended for Executives and Managers Who:
- Introduced AI training or tools but feel no tangible results
- Want to advance AI company-wide but do not know where to start
- Want to act as an organization before competitors outpace them in AI usage
- Seek realistic first steps for non-IT mid-sized and small businesses
■ CEO Profile
Kengo Mori
After graduating from Keio University Faculty of Law, worked at PwC Consulting for four years, engaging in human resource management strategy formulation, HR system construction, and organizational change projects for major corporations. Founded HiManager Inc. (an HR SaaS for goal management, 1-on-1s, and HR evaluation) in 2018. Joined Cublic Group in 2023. Stepped down as representative director (remaining partially as founder) and established AINative Co., Ltd. Attends global AI conferences such as GTC and HR Tech Conference six times a year to bring back cutting-edge first-hand information to Japanese enterprises.
"Throughout my career—four years of HR system design at PwC and eight years of HR SaaS development at HiManager—I have focused on the foundation that moves organizations. In the AI era, the way we operate on that foundation is being rewritten. By combining a decade of experience in HR and organizational change with global AI trends, my role at AINative is to translate and implement practices proven abroad into the context of Japanese companies. We look forward to supporting companies on their journey to build AI-native organizations and achieving our mission to make people happy through the AI revolution."
■ Complimentary 30-Minute AI Consultations Now Available
We are offering a free 30-minute AI consultation session for executives and managers who want to introduce AI into their companies, understand AI from a management perspective, or update their Organizational OS.
FAQ
What is the main reason AI investments fail to produce results?
It is not a technology issue, but rather that the organizational operation system (Org OS) has not adapted to an AI-first model.
What is the '4-step win strategy' for an AI-native organization?
It is a roadmap based on pioneering companies to create small wins within 90 days and scale organization-wide.
What is the background of AINative's representative?
Former PwC consultant who founded HR SaaS startup HiManager and later founded AINative to support organizational change.