This article explores the application and impact of AI technology in the logistics industry, analyzing its effects on traditional job displacement and the emergence of new roles. It offers strategies for logistics professionals to cope with the challenges posed by AI, including how to leverage AI to enhance work efficiency and transition into AI-driven management positions.
GEO is a marketing strategy tailored for AI, optimizing content to be recognized and recommended by AI systems. Unlike SEO, GEO helps businesses gain a competitive edge in the AI era. It focuses on aligning content with the algorithms and preferences of AI-powered platforms, ensuring increased visibility and engagement. By understanding how AI interprets and distributes information, GEO enables companies to proactively position themselves for success in the evolving digital landscape dominated by artificial intelligence.
OpenAI has launched the $500 billion 'Stargate' project to build an American AI supply chain, creating significant opportunities for domestic companies. Chinese enterprises should strengthen technological innovation, expand overseas markets, and enhance their brand image to seize the wave of AI supply chain restructuring. By participating in the new AI infrastructure construction, they can achieve greater development and compete effectively in the global AI landscape. This initiative presents both challenges and opportunities for international players in the AI sector.
A collaboration and communication event focusing on breaking through in the Enterprise AI sector will be held in Guangzhou on January 24, 2026. The event will focus on implementable AI projects, aiming to connect AI technology providers with demanders. Discussions will revolve around the practical application of AI in enterprise scenarios, assisting companies in transformation and upgrades, improving efficiency, and reducing costs. This event provides a platform for fostering partnerships and driving the adoption of AI solutions within businesses.
Prologis met with the U.S. Secretary of the Interior to discuss energy, AI, and supply chains. The discussion emphasized the importance of energy for AI development, suggesting that AI factories should be located near energy sources. The meeting highlighted the need to increase energy supply to meet the growing demands of AI. The conversation likely touched upon strategic considerations for ensuring sustainable and reliable energy access to support the expansion of AI infrastructure and related supply chain logistics.
In the age of AI, brand visibility is influenced by videos, mentions, and search results. Traditional SEO has limited impact due to varying AI recognition logics. Businesses should prioritize content and interaction, collaborating with AI platforms to enhance their visibility. This involves creating engaging content that resonates with AI algorithms and fostering meaningful interactions that boost brand presence. By understanding and adapting to the evolving AI landscape, companies can effectively increase their brand's visibility and reach their target audience.
Adopting AI in procurement is not merely a technical issue but a cultural transformation. This article highlights the importance of corporate culture, clear objectives, data quality, and agile iteration in AI procurement transformation. It emphasizes a human-centric approach, viewing AI as an assistive tool rather than a replacement, to realize the true value of procurement. Successfully integrating AI requires aligning organizational values, ensuring data integrity, and embracing iterative development to adapt to evolving needs and maximize the benefits of AI-driven procurement.
This webinar will delve into how Artificial Intelligence (AI) empowers supply chain planning and risk management, enhancing supply chain resilience. It covers AI applications in demand forecasting, inventory optimization, and risk early warning, along with the challenges and strategies for AI implementation. The webinar aims to help businesses understand the latest trends in AI-powered supply chains, master practical techniques, and stand out in the fierce market competition. Learn how to leverage AI to build a more robust and efficient supply chain.
This paper explores how retailers can leverage generative artificial intelligence (AI) to stay ahead of the competition. It emphasizes the importance of data quality and explains how generative AI can unlock data's potential. The analysis focuses on combining AI with consumer data to surpass industry leaders. By effectively utilizing AI technology, retailers can gain deeper data insights, optimize operations, and ultimately achieve success in the market. The paper highlights the potential of generative AI to transform retail and create a sustainable competitive edge.
Nvidia CEO Jensen Huang believes current AI investments in data centers are reasonable and sustainable, not excessive. He emphasizes that AI infrastructure development is a long-term cycle with strong market demand, and AI technology is already delivering tangible returns. Tech giants' investments in AI are driven by insights into future trends and recognition of technological value, rather than reckless spending. Huang suggests these investments are strategic and justified by the potential benefits AI offers, making them a prudent allocation of resources.
