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This podcast outlines a strategic roadmap for businesses to navigate the AI-driven commerce era from 2026 to 2030. High failure rates in current AI projects are attributed to poor data infrastructure. The first phase, "Veracity," emphasizes building unified data warehouses and hiring specialized architects to ensure data quality. The second phase, "Augmentation," leverages this clean data for AI-powered lead scoring and real-time sales coaching, while focusing on cultural adaptation within teams. The final phase, "Agentic Commerce," prepares for a future where AI agents act as buyers. This requires machine-readable product data, robust APIs, and algorithmic trust frameworks. Success depends on immediate investment in foundational data work. Companies that skip these unglamorous steps risk becoming invisible to the AI-driven markets of 2030.
By Alex PaddingtonThis podcast outlines a strategic roadmap for businesses to navigate the AI-driven commerce era from 2026 to 2030. High failure rates in current AI projects are attributed to poor data infrastructure. The first phase, "Veracity," emphasizes building unified data warehouses and hiring specialized architects to ensure data quality. The second phase, "Augmentation," leverages this clean data for AI-powered lead scoring and real-time sales coaching, while focusing on cultural adaptation within teams. The final phase, "Agentic Commerce," prepares for a future where AI agents act as buyers. This requires machine-readable product data, robust APIs, and algorithmic trust frameworks. Success depends on immediate investment in foundational data work. Companies that skip these unglamorous steps risk becoming invisible to the AI-driven markets of 2030.