Compute Concentration: The Emerging Enterprise Risk Inside the AI Economy

Artificial intelligence has rapidly moved from experimentation to execution. Across industries, organizations are embedding AI into customer service, fraud detection, underwriting, supply-chain planning, document processing, compliance monitoring, analytics, and internal decision-making. As adoption accelerates, discussions around AI risk have largely focused on visible concerns such as cybersecurity, privacy, bias, hallucinations, regulatory compliance, and ethical governance….

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AI’s Power Problem: The Emerging Risk Boards Cannot Ignore

Artificial intelligence has rapidly moved from innovation labs into the core of corporate strategy. Boards are approving AI investments to improve productivity, accelerate decision-making and create new business models. Yet beneath the excitement lies a less discussed challenge that is increasingly attracting the attention of policymakers, energy regulators and risk professionals worldwide: AI’s growing appetite…

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Treasury and AI: Faster Decisions, New Risks

For decades, treasury functions have been built around a simple principle: better information leads to better decisions. Today, Artificial Intelligence promises to take that principle to a new level. From cash flow forecasting and liquidity modelling to foreign exchange hedging and working capital optimisation, AI is rapidly moving from experimentation to deployment within treasury teams….

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Why Cybersecurity Is Now a Trust Function: Ratan Jyoti on Banking’s Digital Risk Evolution

As cyber threats become more intelligent, interconnected and psychologically sophisticated, the future of banking security will increasingly depend on resilience rather than perimeter defence alone.  In the concluding part of this exclusive CXO Dialogue interview with Risk Awareness, Ratan Jyoti shares his perspectives on AI-driven cyber risks, ransomware preparedness, organisational security culture and the emerging…

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The CRO Beyond Compliance: Why Risk Literacy Is Becoming Corporate Survival Infrastructure

For years, the role of the Chief Risk Officer was largely associated with financial stability, regulatory oversight and governance discipline. In banks, insurers and financial institutions, the CRO was often viewed as the executive responsible for credit exposure, capital adequacy, market volatility and compliance frameworks. Even outside financial services, risk leadership frequently revolved around audit…

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The AI Governance Gap: Why “Using AI” Isn’t the Same as “Controlling AI”

Artificial intelligence has moved from experimentation to operational deployment at remarkable speed. Across industries, organisations are integrating AI into customer engagement, fraud detection, compliance workflows, underwriting, recruitment, analytics, cybersecurity, software development and strategic decision-making. In many boardrooms, the conversation has shifted from whether to adopt AI to how quickly deployment can scale. Yet beneath this…

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The AI Governance Gap: Why “Using AI” Isn’t the Same as “Controlling AI”

Artificial intelligence has moved faster into boardrooms than most previous technologies. In a matter of months, AI systems have been embedded into customer service, credit assessment, fraud detection, HR screening, software development and strategic analysis. For many organisations, the narrative is one of rapid adoption and visible productivity gains. Yet beneath this enthusiasm sits a…

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The Unseen Fault Lines: Risks of Rapid AI Integration in Core Business Functions

In boardrooms across industries, artificial intelligence has become the new gospel.  CEOs talk of “AI-first strategies” and investors reward companies that can sprinkle machine learning into their presentations. The rush to integrate AI into core business functions – finance, HR, logistics, compliance, risk – feels almost inevitable. Yet in this headlong sprint to automate and…

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