How to Ensure Value in Your AI Investment

Summary

The article argues that most AI projects fail because leaders treat value as a single metric. It uses an executive-team anecdote to show how different stakeholders (CTO, data science lead, CFO, COO, CMO) can all judge the same initiative as both a success and a failure depending on their lens. The author, Edosa Odaro, recommends planning for multi-dimensional AI value — economic, strategic, operational, customer, employee and stakeholder/responsibility — and designing initiatives to deliver across those dimensions simultaneously so impact compounds and becomes sustainable.

Key Points

AI value is multi-dimensional; measuring only one dimension (e.g. accuracy or ROI) risks misleading conclusions.
Economic value includes cost reduction, revenue growth and margin expansion — but departments feel value differently.
Strategic value is about market differentiation and capabilities competitors can’t copy quickly.
Operational value produces compound benefits: better quality, throughput and decision-making.
Customer value comes from improved experience, personalisation and trust — customers value outcomes, not the tech.
Employee value matters for adoption: frame AI as augmentation and decision support to reduce resistance and improve uptake.
Stakeholder and societal impacts (fairness, transparency, privacy, environmental effects) are increasingly scrutinised and must be included in value assessments.
The most successful AI projects connect across functions and deliver benefits that no single department could achieve alone.

Why should I read this?

Because if your board or exec team are still arguing about whether an AI programme ‘worked’, this piece tells you why that fight is happening — and how to stop it. It’s short, practical and gets you thinking about value as a set of trade-offs to manage, not a single scoreboard to obsess over.

Author style

Punchy and executive-focused: Edosa Odaro draws on frontline experience and leadership examples to cut through the hype. If you care about turning AI spend into sustained advantage, read the details — they matter.

Context and Relevance

This article is timely: AI adoption is widespread, but failure rates remain high when initiatives are measured narrowly. For C-suite readers, the piece reframes AI success as cross-functional and multi-stakeholder, aligning with current trends around responsible AI, operational transformation and customer-centred design. It’s especially relevant for organisations moving from pilots to scale, where competing metrics and stakeholder expectations often derail value realisation.

Source

Source: https://ceoworld.biz/2026/01/12/how-to-ensure-value-in-your-ai-investment/