What happened
Elena Levi, Director of Product at Payoneer, states many AI initiatives fail from flawed product decisions, not technical limitations. By 2025-2026, nearly half of organisations will face an AI "trust gap" between claimed confidence and actual ability to explain or control model outputs, delivering lower economic results. Levi advocates a problem-first approach, prioritising understandable value, gradual trust building, clean, monitored data foundations, and effective user experience for successful AI products.
Why it matters
Organisations face economic underperformance from AI investments if they prioritise technology over problem-solving. Product teams must shift focus to user problems, ensuring explainable and reliable automated decisions to bridge the "trust gap" and drive adoption. Security architects and procurement teams need to scrutinise AI solutions for demonstrable trust, transparency, and effective data governance, moving beyond flashy demos.
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