The rapid advancement of artificial intelligence has created a critical tension between innovation and trust, prompting the publication of a working paper that proposes a new executive management discipline: Go-To-Market Governance (GTMGO). Released on July 6, 2026, Working Paper No. 1 of the GTMGO Canon, titled 'Engineering Trust: Why the AI Economy May Require a New Executive Management Discipline,' argues that traditional governance—organized around independent functional silos—is no longer sufficient for AI-enabled enterprises. The paper introduces key concepts including Governance Engineering as a scientific methodology, the Go-To-Market Governance Officer as the accountable executive, and the Governance Velocity Gap™ as the organizational challenge when innovation outpaces governance.
The paper draws on observations from diverse fields such as aviation, legal practice, professional sports labor relations, entertainment, broadcasting, healthcare-adjacent governance, privacy, cybersecurity, and enterprise leadership. These insights are synthesized through management science, systems thinking, and engineering methodology to propose a unified governance discipline. Rather than restating existing legal or compliance frameworks, the paper suggests that recurring engineering principles exist across trusted professions and regulated industries, offering a foundation for embedding governance into growth processes from the start.
The GTMGO Canon is being released as a series of working papers to encourage iterative refinement through practical application and constructive criticism. The Version 1.0 Freeze preserves the foundational architecture while inviting feedback from executives, directors, governance professionals, lawyers, technologists, engineers, cybersecurity practitioners, privacy leaders, healthcare administrators, financial institutions, regulators, and researchers. Meaningful feedback will be documented through the GTMGO Research Notes process and considered for future working papers.
The paper's author, Peter Q. John, a communication and compliance executive, emphasizes that the discipline is designed to help organizations engineer governance into growth rather than applying it after the fact. By introducing concepts like GTMGO Thermodynamic-Friction™—the cumulative organizational resistance generated when governance evolves more slowly than enterprise change—the paper aims to provide a framework for achieving 'Trusted Growth.' As the AI economy transforms how organizations innovate, the paper questions whether it is time to rethink how organizations govern innovation.
Working Paper No. 1 will be released in the coming weeks, inviting scholarly and professional dialogue to refine the discipline. The paper is copyright 2026 by Peter Q. John, with all rights reserved.
