The AI Delegation Trap and the Productivity J-Curve

AI
The Productivity J-Curve best explains AI’s productivity paradox. The investments across different categories beyond technology initially depress measurable output. Rather than making the necessary investments across these categories, CEOs of legacy corporations often fall into the Delegation Trap, treating AI as a tactical IT upgrade. This misallocation triggers the AI […]
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The Inadequacy of Enterprise AI Committees and Centers of Excellence

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General-Purpose Technologies, such as AI, must cause the enterprise to rethink and redesign its workflows, organizational structures, and business models. Most information technologies targeting the enterprise, e.g., business intelligence, refine and optimize existing processes rather than forcing their complete redesign. Failing to distinguish between a true General-Purpose Technology and a […]
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Architecting the Corporate Industrial Policy to Survive the AI Stakeholder Squeeze

AI
Incumbent corporations are investing in and incorporating AI, yet most fail to fundamentally alter their operating models or achieve strong ROI as a result. The root of this failure is not technological. It is macroeconomic and organizational. US enterprises are attempting to execute a paradigm-shifting technological transition within a market […]
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Three AI Factory Types

AI
As 2025 drew to a close, the narrative surrounding enterprise AI began to shift. We moved from 2025 being the “Year of Experimentation” to 2026 shaping as the “Year of Deployment.” Under such a mandate, enterprises must develop and deploy their AI applications scalably, efficiently, and economically. For the large […]
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  • 28 October 2025
    October 28, 2025
  • Author esimoudis
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From Conversation-Centric to Agent-Centric AI Models

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Enterprises have accelerated their efforts to integrate AI into operations. More recently, many have launched pilot projects to develop agent-based systems across various domains. Most of these agents rely heavily on the capabilities of conversation-centric foundation models such as GPT or Gemini. But as we deploy more capable agent-based intelligent […]
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  • 25 September 2025
    September 25, 2025
  • Author esimoudis
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  • Views 944
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Preparing the AI-First Enterprise Workforce for the Age of Agents

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As AI agents become more capable, how should the roles and responsibilities of the AI-first enterprise employees evolve? Which skills will matter at each level? How will technical and business teams collaborate to effectively leverage agents and agent-based systems? As the capabilities of agents advance, employees will move from executing […]
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Evolving the AI Agent Spectrum: From Software to Embodied AI

AI
In the piece Agents in the AI-First Company I introduced a five-level spectrum for understanding software agents. The piece generated a strong response and valuable comments, for both of which I’m incredibly grateful. Some readers questioned the original progression of the spectrum. They noted that developing agents that can collaborate […]
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Agents In the AI-First Company

AI
AI agents are an important component of the transformation to become an AI-first company. Corporations undertaking this transformation must understand where and how to incorporate agents and which agent types to utilize in the AI-centric processes they establish and the organizational structures they adopt. The article presents AI agent types, […]
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The AI-First Company

AI
Introduction In today’s corporate digital transformation landscape, “AI-first company” is emerging as a term that deserves real attention, not just another consultant’s buzzword. But can an incumbent truly transform to become AI-first, as Intuit is attempting, or must it be designed that way from inception, like Tesla? In my previous […]
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Deciding Between AI-Enhanced and AI-First Business Processes

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The business world is buzzing with AI experimentation. However, a structured approach for moving from experimentation to production, although necessary, is often lacking, which hinders AI’s transformative potential. This article introduces a decision-support framework, implemented as a decision tree, to help executives mitigate the risks associated with decisions relating to […]
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