---
id: what-are-the-two-timelines-of-technological-change
title: "What are the two timelines of technological change?"
category: guide
subtopic: two-timelines-change
page_type: guide
source_url: "https://neosbyargonandco.com/beyond-ai-pilots-rethinking-the-supply-chain-operating-model-for-an-ai-enabled-world"
tags: ["technology adoption", "organizational change", "implementation", "business transformation"]
questions:
  - "Why do technological changes take time to deliver value?"
  - "How long does it take organizations to benefit from new technology?"
  - "What's the difference between technology innovation and organizational adaptation?"
related: [ai-organizational-change, ai-supply-chain-overview, historical-tech-adoption]
---

Every major technological shift unfolds across two very different timelines.

The first timeline is visible and fast: new capabilities emerge, investment accelerates, vendors race to build features, and companies begin experimenting. This timeline dominates headlines and feels relentless-each month brings new announcements.

The second timeline is quiet and internal: processes evolve, responsibilities shift, habits change, and leaders reconsider how decisions are made and how work flows. This timeline unfolds through experimentation and experience, often over many years.

History shows the second timeline matters most. ERP systems improved information access, but organizations spent years learning to integrate planning and operations around that data. TMS brought optimization, yet logistics teams took years to trust automated recommendations. WMS expanded visibility, but greatest improvements came after companies redesigned labor models and processes.

Technology changed first. Organizations changed later. AI is following the same pattern-it's time to rethink your operating model. Partner with neos by Argon & Co for strategy and design support.