The AI adoption phase is over
For two years, the AI conversation in every boardroom has been about adoption: who’s using it, how much, how fast. That conversation is over. Adoption happened. What should keep leaders up at night now is harder to see on a dashboard: What are people doing after adoption? We recently conducted our inaugural Scribd Understanding Index , surveying 1,500 Americans about how they build knowledge…
The AI conversation in boardrooms has shifted from adoption to verification and trust. A new survey of 1,500 Americans found that 37% of respondents cited knowing which sources to trust as the hardest part of research, twice as hard as the next biggest challenge. Verification has become a standard workflow, with 66% of respondents fact-checking AI results every time they use them and 47% saying validation is critical even when busy.
Business professionals are the most active AI users, with 55% using AI tools daily and 60% making time to validate. Human-authored expert documents earned a higher trust score than AI-generated summaries alone, with 76% of respondents citing author expertise and citations as highly important factors in trust. Leaders must now focus on building verification into workflows, rewarding accuracy and sourcing, and investing in subject-matter experts, primary documents, and institutional knowledge to maintain trust in AI's output.
The competitive advantage will lie in the leadership's ability to build trust as a system and integrate it into workflows, ultimately leading to success.
Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
