Artificial intelligence (AI) is rapidly evolving, and at the heart of this revolution are Large Language Models (LLMs)—AI-driven systems that can understand and generate human-like text. These models are transforming industries by enhancing content creation, streamlining workflows, and improving research capabilities.

In today’s rapidly evolving market, standing still is no longer an option. You’ve likely witnessed how emerging technologies—particularly Artificial Intelligence (AI)—are reshaping our industry. Yet for many supply chain and logistics providers, the leap into AI can feel overwhelming. My mission is to demystify AI and share a few actionable insights that can help any organization, regardless of tech maturity, begin leveraging AI to future-proof operations.

Artificial Intelligence is no longer a distant promise. It’s already woven into daily transactions, risk assessments, and operational workflows—particularly in high-stakes industries like logistics and transportation. From predictive maintenance schedules to real-time route optimization, AI quietly revolutionizes business processes by reducing costs, speeding up deliveries, and improving customer satisfaction. That future? It has arrived. And there’s still a monumental advantage awaiting those who choose to dive deeper into AI’s potential.

Executives and Leaders,

The AI race just took another dramatic turn with DeepSeek, a Chinese artificial intelligence firm, unveiling a groundbreaking open-source large language model (LLM) that could challenge the dominance of U.S. AI leaders like OpenAI, Anthropic, and Google DeepMind. For business owners, executives, and investors, this is more than just another AI announcement—it’s a potential inflection point for the global technology landscape, with significant implications for innovation, competition, and U.S. economic security.

In today’s interconnected world, supply chain disruptions can ripple across industries, causing delays, increased costs, and dissatisfied customers. Risk management has always been a crucial aspect of logistics, but traditional approaches often rely on reactive measures—fixing problems after they occur. With the rise of artificial intelligence (AI), the paradigm is shifting from reactive to proactive, allowing companies to predict, prevent, and mitigate risks before they escalate. Here’s how AI is transforming risk management in logistics.

In the fast-paced world of logistics, the ability to anticipate future demand and optimize operations is a game-changer. Predictive analytics, powered by AI, is transforming the way freight is moved and managed across all modes of transportation—from rail and trucks to warehouses, terminals, and ports. By leveraging historical data and advanced algorithms, businesses can unlock hidden efficiencies, reduce costs, and stay ahead of the competition.

The logistics and transportation industry is evolving rapidly with the adoption of Artificial Intelligence (AI). As professionals, staying informed about AI’s potential, applications, and ethical implications is critical to maintaining a competitive edge. Whether you’re just beginning your AI journey or looking to deepen your understanding, this curated list of AI books will provide valuable insights tailored to the needs of logistics and transportation professionals.