Nine out of ten survey respondents to McKinsey’s 2025 State of AI survey indicated their organizations are using AI. Businesses have moved beyond the experimentation phase to making AI operational. Whether using AI for isolated projects or embedding it into core business processes, disclosure about AI risks is now pervasive in S&P companies’ 10-Ks, according to a recent Conference Board report. The pace of this disclosure has increased dramatically, jumping from 12% of companies in 2023 to 72% in 2025.
What Are the Risks?
According to the Conference Board, the main risks can be divided into three categories:
- Reputational (38%)
Consumer data breaches, service issues, or AI tools that fail to meet usability expectations. - Cyber (20%)
New vulnerabilities that expose systems to malicious actors, including risks from third-party AI applications. - Regulatory/Legal (12%)
Regulations are lagging behind AI adoption, creating uncertainty for organizations.
Issues like bias, misinformation, intellectual property disputes, and regulatory uncertainty are also increasingly surfacing in corporate disclosures. Intellectual property is an emerging risk area mentioned by 5% of S&P companies, spanning copyright concerns, trade secret theft, and the use of third-party data to train models.
What CFOs and Boards Need to Know
S&P risk disclosure trends often signal future changes in board oversight, internal controls, and audit priorities. According to PwC’s 2025 Annual Corporate Director’s Survey, only 35% of corporate boards have formally integrated AI into their oversight responsibilities. Oversight rarely moves as quickly as technology, but organizations that proactively build AI governance structures will be better positioned to respond to investor and regulatory scrutiny.
IMA Competency Framework Helps Accountants Use AI Responsibly
IMA is responding to the market’s need for clarity around the essential skills required to use AI effectively and responsibly. The enhanced Competency Framework includes domains on emerging technology, compliance, governance, and oversight—critical areas for any organization adopting AI. Innovations like AI do not exist in isolation; they influence every aspect of an organization’s operations. Accounting and finance leaders must ensure their teams understand how emerging technologies raise new questions around risk and compliance.
New IMA AI Micro-credential Prepares You for Working with AI
Effectively mitigating AI risk requires strong foundational skills in data analytics. IMA’s new AI Micro-credential helps learners build these capabilities. The first pathway—Data Literacy for Finance Professionals—teaches accountants and finance leaders how to interpret and apply data analytics to improve forecasting, identify trends, and support better business decisions.
The Micro-credential also includes the course Strategic Agility and AI Readiness, which examines the traits that enable finance teams to adapt to AI-driven change. IMA understands that technology adoption succeeds only when leaders foster agility, innovation, and collaboration. Mastering these skills helps teams navigate AI adoption and drive continuous improvement in dynamic, technology-driven financial environments.
AI for Value Creation
In today’s competitive landscape, AI adoption is essential for organizations pursuing growth, profitability, and operational efficiency. The technology introduces risks, but corporate disclosures help create transparency—and IMA’s learning programs ensure every accounting and finance professional feels equipped and confident using AI. With the right skills, AI becomes not just a risk to manage but a powerful tool for delivering value.