Breaking Barriers – Overcoming the Roadblocks to AI Adoption in New Product Development

Early adopters of AI for new-product development (NPD), such as GE, Siemens, Pfizer, and Nestle, report dramatic performance results, and are currently accelerating their investment in AI. But not all firms are on board AI for NPD, however.

AI Adoption in Business and NPD

Despite the promise that AI offers, only 24% of all firms globally reported using AI in their NPD programs by 2024. But why the hesitation? An understanding of the reasons for this hesitancy to adopt AI for NPD is essential before moving ahead with your AI transforming – anyone could be a potential showstopper to your AI Deployment Initiative. Thus, your AI deployment plan must include steps to migrate these roadblocks, otherwise your AI journey may be a very short one.

Seven Roadblocks

The article outlines the seven main reasons for hesitancy to move forward with AI for NPD – the roadblocks. They range from lack of a robust Business Case for AI through to ethical issues. Some roadblocks – certain fears, risks, and ethical issues – are overblown or even myths and are not fact-based; but others are real, must be understood, and merit a mitigation plan as your business moves forward.

The Path to AI Adoption

The article recommends a number of mitigating actions and best practices that firms are undertaking or which experts propose in order to overcome these challenges to adoption.

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