AI adoption surges, but executives remain blind to customer trust issues
Organisations are moving AI from experiment to core customer experience tool, yet a widening gap between what executives believe and what customers actually feel threatens to undermine these investments, according to a Capgemini report released this month.
Nearly 68% of organisations expect AI agents to outperform traditional customer service channels. Generative AI adoption is projected to jump from 21% to 51% within three years. On the consumer side, 58% already see AI as a time-saver.
But the numbers mask a dangerous disconnect. While 84% of executives believe customers are willing to recommend their products, only 45% of customers actually are. Executives assume 77% of customers feel confident about product quality. The reality: 14%.
This perception gap has real business consequences. Sixty-three percent of customers have switched to competitors after poor experiences. Sixty-one percent cut spending.
Trust deficit growing as data concerns mount
The biggest risk sits in data privacy. Eighty-three percent of consumers are uncomfortable with their data being recorded. Only 38% of executives share that concern.
Eighty-one percent of consumers prioritise data security. Just 8% of executives recognise it as a key risk. Eighty-three percent of consumers worry about AI storing personal data without consent.
This trust gap directly threatens customer retention. Seventy percent of customers return as repeat buyers after positive interactions, and 65% say good experiences make them feel valued. Organisations that ignore privacy concerns risk losing that loyalty.
Strategy gaps compound the problem
Execution remains fragmented. Only 23% of organisations report having a unified customer experience strategy. Forty percent cite the lack of clear performance metrics or a defined roadmap as barriers to progress.
Sixty percent expect channel fragmentation to worsen. Just 28% ensure seamless experiences across touchpoints.
The report recommends aligning customer experience with business outcomes, building unified strategies, balancing automation with human interaction, and using AI-driven feedback systems to adapt continuously to customer needs. The core message: organisations must lead with human priorities and let AI serve those priorities, not the reverse.
For executives and strategy leaders, the takeaway is clear. AI for Executives & Strategy requires closing the perception gap first. Without alignment on what customers actually need and value, AI investments will continue to miss their mark.
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