How does AI create intangible asset value for businesses?

Full Explanation

AI generates intangible asset value across multiple dimensions. First, proprietary AI models and trained algorithms become technology assets — the investment in data collection, cleaning, labelling, and model training creates assets with measurable economic benefit. Second, AI-driven process automation creates organisational capital by embedding knowledge into systems rather than relying on individual employees. Third, AI enhances existing intangible assets: recommendation engines increase customer relationship value, predictive analytics improve brand relevance, and automated R&D accelerates innovation pipelines. Under IAS 38, AI development costs can be capitalised once technical feasibility is demonstrated — but the challenge lies in determining when an AI project transitions from research (always expensed) to development (potentially capitalisable). Companies investing heavily in AI often have significantly understated balance sheets because much of this value never appears as a recognised asset. Opagio's platform helps quantify AI-driven intangible value across the six CHS categories, giving leadership visibility into where AI investments are actually creating durable competitive advantage.

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