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When most people hear the term Artificial Intelligence, their thoughts almost instinctively turn to generative large language models like OpenAI’s ChatGPT, Anthropic’s Claude, and Alibaba’s Qwen., have captured global attention. In the last week, DeepSeek hit the news headlines.
While automation and predictive analytics have delivered incremental gains to date, these technologies are inherently static—confined to executing predefined tasks within narrow parameters, often requiring human intervention to address complexities or anomalies. Take stress testing, for example. Today, this process involves painstaking effort to synthesize inputs from market data, geopolitical developments, and internal performance metrics. Agentic systems, by contrast, could integrate these variables live, generating adaptive simulations that continuously refine institutional resilience to changing conditions.
These considerations demand not just new governance models but a cultural shift within institutions—a willingness to trust and collaborate with systems that both challenge and complement traditional human oversight. This is especially relevant for the age-old question of disruption to human capital.
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