How does AI create intangible value for businesses?

Full Explanation

AI generates intangible value across multiple dimensions that traditional accounting often fails to capture. The most obvious is proprietary technology: trained machine learning models represent significant investment in data curation, feature engineering, and iterative training. These models become more valuable as they process more data, creating a flywheel effect that competitors cannot easily replicate. Beyond the models themselves, AI creates value through enhanced business processes. An AI-powered supply chain optimisation system reduces costs and improves reliability, but its true value lies in the accumulated learning embedded in the system — the thousands of micro-decisions that have been optimised over time. This institutional knowledge is an intangible asset even if it never appears on a balance sheet. AI also amplifies existing intangible assets. Customer relationship management enhanced by AI predictions makes customer relationships more valuable. AI-assisted R&D accelerates innovation cycles, increasing the value of the technology pipeline. Brand perception improves when AI enables better customer experiences. For investors and acquirers, understanding how AI multiplies intangible value is critical to accurate company valuation. Companies that can articulate their AI value creation story command higher multiples.

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