Experts Advise: Integrate AI Risks into Existing Corporate Governance, Not New Policies
Businesses should integrate artificial intelligence risks into their current corporate governance and disclosure systems, rather than developing separate policies. This approach demonstrates operational maturity and addresses immediate concerns.
AI Risks Fit Current Frameworks
Many companies integrating artificial intelligence (AI) overlook responsibility, treating its risks as unique. This approach is unnecessary and creates significant risk, according to authors Steven Okun, Megan Willis, and Noemie Viterale. Businesses already possess extensive governance systems for ethics, environment, labour standards, and sourcing.
These frameworks can address AI’s demands on energy, water, or potential for bias in hiring. Leaders should map AI practices onto these existing structures.
Existing Standards Cover AI Impacts
The Sustainability Accounting Standards Board (SASB) framework covers five dimensions: environment, social capital, human capital, leadership and governance, and business model and innovation. AI’s consequences fit these. Running AI models at scale increases electricity and water consumption; this belongs in environmental disclosures. When a retailer uses AI and headcount falls, this is a labour practices disclosure, part of human capital reporting.
The United States National Bureau of Economic Research (NBER) projects 502,000 AI-related job cuts in 2026. This is nearly a nine-fold increase from the previous year. Oracle told the US Securities and Exchange Commission in June 2026 that AI adoption has reduced, and may continue to reduce, its workforce. Its fiscal-year headcount fell from 162,000 to 141,000.
Operational Maturity is Key
When a bank uses AI for loan applications, the risk of biased decisions is a customer-fairness and data-privacy issue. This maps directly to SASB’s Social Capital dimension, within existing fair lending and data security disclosures. There is no need to invent new disclosure categories for AI. Integrating AI risk tests a business’s operational maturity and commitment to responsibility.
Mature organisations build governance systems to absorb new material risks, avoiding parallel structures for new technologies. Despite 88 per cent of organisations regularly using AI, governance lags. Nearly three-quarters plan AI agent deployment within two years, but only 21 per cent report a mature governance model. Mature models have clear ownership, oversight, and embedded controls.
Consequence for Asian Business
For Asian businesses, integrating AI risks into established governance frameworks is crucial for maintaining legal and social licences to operate. Failure to do so could lead to increased compliance costs, regulatory scrutiny, and reduced investor confidence.
Companies across Asia, from technology firms to financial institutions, must proactively update their existing environmental, human capital, and consumer protection disclosures to reflect AI’s impact, rather than awaiting specific AI regulations. This demonstrates foresight to investors and regulators.
This article is journalism, not investment advice; consult a licensed professional before making financial decisions. Market data is indicative, may be delayed, and should be verified with your broker or exchange before use.
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