Over the past year, AI has made significant strides, including advancements in supercomputers, language models, and AI's role in internet search and political polling. Five experts provided their top AI projections, suggesting that 2025 will bring even more revolutionary changes than 2024. **AI Agents:** Experts predict the rise of AI Agents, which are autonomous programs that can think, learn, and act independently. Pascal Bornet highlights the potential of these agents to redefine autonomy by anticipating needs and solving problems proactively. Ben Torben-Nielsen sees the transformational potential in combining AI agents with smaller language models to enhance integration in business workflows. Eduardo Ordax predicts that AI agents could significantly boost productivity compared to large language models, leading to widespread adoption in industries. **Competitive Advantage:** Ahmed Banafa foresees generative AI being securely integrated into enterprise software for content creation and workflow optimization.

Julia McCoy notes that companies using AI can drastically reduce workforces while maintaining output, reshaping business operations. Torben-Nielsen warns that ignoring AI may result in businesses failing, similar to companies that didn't adopt e-commerce. **Rising Costs:** Torben-Nielsen also anticipates a rise in AI operational costs. Premium pricing for high-end models and increased token usage could lead to unexpectedly high expenses for companies implementing AI in 2025. **AI Integration with Robotics:** Bornet and Banafa envision AI moving into mobile robots, becoming a more tangible presence in daily life. Such advancements could revolutionize sectors like global logistics, personal accessibility, education, healthcare, and entertainment through multi-modal data processing. **Regulation and Consolidation:** Banafa mentions that global AI regulations are expected to tighten, focusing on transparency, ethical use, and accountability. Ordax discusses potential industry consolidation due to shifting business models and mergers among AI providers to remain competitive, with a few major companies likely to dominate.