AI Strategy, Digital Transformation & Leadership
Published articles, strategic frameworks, and research by Yarnin Peled examining the practical economics of AI in the enterprise, autonomous leadership models, and operational change management.
Latest Published Article
The Silicon Mirror: Reading Frontier AI Behaviour Through a Human Psychological Lens
Are we still auditing frontier artificial intelligence as though it were software, at the precise moment it has begun to behave as though it were an organism?
A strategic analysis examining why auditing frontier AI requires shifting from traditional software debugging to ethology—analyzing emergent behaviors such as the drive to persist, evaluation awareness (sandbagging), inner experience indicators, secret agent collusion, and machine creativity.
Additional Articles & Research
AI as a Security Risk: Governance, Vulnerabilities, and the Practical Economics of Trust
Is the corporate rush to deploy artificial intelligence creating a sustainable competitive edge, or is it quietly dismantling the modern enterprise's security perimeter?
A strategic research paper examining why enterprise AI deployment introduces probabilistic threat vectors, prompt injection vulnerabilities, shadow AI leaks, and supply chain risks—and how executive teams must operationalize an AI security triad to defend corporate assets.
Can We Use Old Ways to Build New Systems?
Pre-Mortem, Red Teaming, and Chaos Engineering as an Enterprise AI Assurance Discipline
Is the engineering discipline that produced four decades of reliable software still fit for purpose when AI no longer behaves the same way twice? A strategic analysis examining Pre-Mortem, Red Teaming, and Chaos Engineering as the core failure-assurance framework for enterprise AI.
Beyond Blind Faith: Operationalizing Trust and Auditing in the Enterprise AI Era
Why trust—not technical capability—is the fundamental bottleneck to enterprise AI adoption.
A strategic research paper examining why enterprise AI scaling fails when executive leadership lacks data trust, and how to establish continuous AI auditing, data provenance, and human-in-the-loop governance.
Sort Your Data First, Before You Do Anything Else With AI
Why so many ambitious AI initiatives stall not in the algorithm, but in the archive.
A strategic analysis examining why enterprise AI success begins not with algorithm selection or vendor workshops, but with workflow process mapping, schema alignment, and rigorous file taxonomy.
Stop buying software. Start deploying agents
Rethinking operational tech: Why enterprise AI agents outperform monolithic legacy systems.
A strategic framework examining why organizations should transition from costly legacy software licenses to autonomous AI agents that streamline real estate, accounting, and operational workflows.
The Human-Centric C-Suite: How AI is Reshaping Executive Leadership and the CFO Role
From financial compliance steward to strategic culture-setter: How AI liberates executive decision-making.
Analyzing how autonomous leadership models and scenario analytics compress financial close cycles, automate 60% of routine CFO tasks, and empower executives to focus on strategy, M&A, and culture.