"As companies rush to adopt AI to boost productivity and cut costs, they may be setting themselves up for a new problem: losing what makes them different. Mehdi Paryavi, CEO of the International Data Center Authority, said widespread reliance on the same AI tools risks flattening competitive advantage across industries, because firms increasingly rely on identical systems to think, write, and decide for them."
"As generative AI becomes embedded across workplaces, Paryavi warned that the biggest risk isn't automation - it's uniformity. When companies rely on the same large language models trained on the same data, decision-making, writing, and problem-solving can start to converge, shrinking the space for creative divergence. That concern echoes warnings from researchers and academics who say AI can produce polished output at scale, but also flips human thinking by delivering fluent answers before understanding, creating an illusion of expertise that weakens judgment and depth."
Rapid adoption of AI for productivity and cost reduction can erode what makes firms different. Widespread use of identical AI tools and models causes decision-making, writing, and problem-solving to converge across competitors. Reliance on shared models risks outsourcing core strategic thinking that once differentiated companies. Short-term efficiency gains can give way to competition based primarily on cost and speed, reducing originality and strategic depth. Generative AI can produce polished outputs at scale while delivering fluent answers before true understanding, creating an illusion of expertise that weakens judgment and long-term advantage.
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