This article discusses how a new architecture developed by the Chinese company DeepSeek is disrupting the chip market, directly impacting the hardware infrastructure underpinning AI and Machine Learning training and inference. The implications are especially important because better hardware will lead to faster and cheaper AI, furthering its deployment and affecting other companies.
In manufacturing and industrial contexts, more efficient and powerful AI chips enable more sophisticated automation, predictive maintenance, and quality control systems. In financial services and fintech, they facilitate faster fraud detection, algorithmic trading, and personalized customer service, while also increasing the risk of sophisticated cyber attacks and algorithmic bias.
For businesses in manufacturing and finance, this could mean access to more cost-effective and powerful AI solutions. This could lead to improved automation in manufacturing, more sophisticated fraud detection systems in finance, and better predictive models across various business functions, ultimately boosting efficiency and improving decision-making.