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AI readiness doesn't require ditching IBM i core systems

Organizations are debating whether to fully migrate from IBM i systems before adopting AI, a move that could be costly and disruptive. While IBM i is considered legacy due to its interface and limited native AI integration, its core transaction processing capabilities remain highly stable and reliable. Experts suggest that instead of a complete overhaul, building an AI and integration layer around the existing IBM i system could be a more efficient and effective approach to achieving AI readiness. AI

IMPACT Suggests a pragmatic approach to AI integration for businesses with legacy core systems, potentially saving costs and accelerating adoption.

RANK_REASON This is an opinion piece discussing a strategic approach to AI adoption for organizations using IBM i systems.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI readiness doesn't require ditching IBM i core systems

How we ranked this

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0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
This is an opinion piece discussing a strategic approach to AI adoption for organizations using IBM i systems.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Standard
On-topic for AI-industry coverage; kept in the public index.
Story freshness
96 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Mohit Gupta, Forbes Councils Member ·

    Why Replacing IBM I Core Completely Is Not A Prerequisite For AI Readiness

    Organizations should consider whether they can make the existing system an active participant in an AI-driven operation rather than a barrier to one.