New report shows business leaders are rushing to adopt AI, raising concerns about literacy, ethics and readiness

New report shows need for training on how to use AI responsibly

Stibo Systems, a global leader in master data management, today released its latest report, “AI: A High-Stakes Game for Enterprises.” The report finds that while U.S. business leaders across all industries are increasingly relying on artificial intelligence (AI) to make critical decisions, gaps in literacy, ethical use, and organizational readiness are causing notable challenges.

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“AI is transforming business operations by automating processes, delivering actionable insights and facilitating deeper engagement with key stakeholders,” the company said. Gustavo AmorimMarketing Director at Stibo Systems. “However, if business leaders go all-in on artificial intelligence without establishing strong ethical and governance foundations, they could lose the future of their organization rather than positioning it for long-term success.”

The report features data from a survey of 500 U.S. business leaders (director level and above) across a variety of sectors, including retail, consumer packaged goods (CPG), manufacturing, banking, insurance and life sciences.

The survey found that 32% of business leaders admit to rushing the adoption of AI, and 58% admit to a lack of AI ethics training. In addition, 86% express a desire for additional training on how to use AI responsibly.

Additional key survey findings include:

• Readiness issues: 49% of business leaders admit they are not ready to use AI responsibly, highlighting a significant readiness gap.
• Bias softening: 79% of organizations lack bias mitigation policies and practices, indicating that most business leaders are not addressing the most important ethical issues in AI.
• Security risks: 54% of organizations have not implemented new security measures to keep pace with AI integration.

Amorim continued: “Creating trusted data sources, maintaining strong security and ethics policies, and providing comprehensive AI and bias literacy training are important steps to protect employees, customers, and brand reputation. Without these measures, organizations are rolling the dice, risking financial and reputational damage rather than benefiting from the innovation and synergies that AI can provide.”

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