Here are seven AI trends expected to grow by 2025, reshaping various industries: 1. **Small Language Models (SLMs):** These compact models are becoming crucial due to their scalability and efficiency, requiring fewer parameters and reducing data transfer, thus lowering the environmental footprint. Notable tech companies like Microsoft and Apple introduced SLMs that can run on devices, making AI accessible for startups and small businesses. 2. **Agentic AI:** These autonomous systems can make decisions with minimal human input, transforming automation across industries by improving efficiency. However, businesses are advised to maintain oversight as this technology outpaces regulatory frameworks. 3. **AI Cybersecurity:** With AI-enabled cybercrime on the rise, AI is also being used to detect and counter threats in real time, enhancing the security infrastructure for businesses facing increasingly sophisticated cyber risks. 4. **AI Search Engines:** AI is revolutionizing search capabilities, as seen with Google's AI summaries and OpenAI's new search engine.

Although traditional search remains relevant, AI advancements suggest continuing changes in how information is retrieved. 5. **AI Chips:** Designed specifically for AI tasks, these chips outperform traditional CPUs, driving demand and potentially reaching a $120 billion market value by 2025. Investments in manufacturing facilities promise to address supply chain challenges. 6. **Edge AI:** By combining AI with edge computing, data is processed closer to devices, enhancing speed, efficiency, and security. This technology is influencing sectors like healthcare and automotive and is projected to grow significantly. 7. **Enterprise Search Systems:** Aimed at improving information retrieval within organizations, these systems now incorporate AI to enhance search efficiency, making them more conversational and intuitive, thereby boosting productivity. These trends highlight the ongoing evolution of AI technologies, which continue to innovate and optimize various business processes.