Large language models in business - conceptual changes and examples

This presentation, titled “Large Language Models – Generative AI as a Game Changer in the Business World” by Peter Trkman, is an insightful and multifaceted exploration of how generative artificial intelligence (GAI), particularly large language models (LLMs), are transforming business practices, professional roles, and communication. The presentation starts with a personal introduction, balancing professional credibility and a touch of humor to humanize the presenter. It then frames GAI not as a future concept but as a present reality, demonstrating through examples how easily and quickly content—ranging from blog posts to CEO speeches—can be generated with minimal effort. Several concrete examples illustrate how AI tools can write, code, analyze, and visualize, making tasks faster and more efficient. These examples are not generic; they are tailored, practical, and created in seconds, reinforcing the message that the AI revolution isn’t upcoming—it’s already here. Notably, the slides highlight AI's role in financial reporting, mutual fund advising, and internal corporate communication, each with full examples showing how GAI adds value. An important conceptual shift is emphasized: content creation is no longer a differentiator because AI makes it cheap and easy. The real challenge becomes recognizing where human creativity, empathy, and judgment are still irreplaceable—what the presentation calls the “power of human steps in a digital world.” The slides also include elements of comedy, including stand-up routines about the speaker, reinforcing the idea that humor, personality, and emotion are still human domains where AI struggles. Throughout, the message is not alarmist but strategic. The presentation encourages participants to: Recognize the limits of AI (“What GAI won’t do”), Focus on sectors and processes most affected by AI (e.g., content creation, customer interaction), Develop AI-compatible and AI-optimized processes and texts (like AIO vs SEO), Cultivate critical human skills such as communication, creativity, and empathy, Avoid hype unless it has marketing value. The conclusion stresses the need for authenticity in communication—emphasizing that while GAI can generate professional-looking content, real impact comes from short, heartfelt, human messages. The final takeaway is a philosophical yet practical appeal: use AI for efficiency, but don’t lose sight of humanity, especially in meaningful interactions. In sum, this presentation is both a practical guide and a conceptual reflection on how to navigate the present and future shaped by generative AI. It provides a balanced, humorous, and deeply insightful roadmap for professionals and organizations aiming to leverage LLMs meaningfully and ethically.