Forrester data shows that despite a boom in software options, B2B buyers now evaluate only three vendors, down from seven. This means if you aren't known and trusted before a buyer shows intent, you've likely already lost the deal. The battle is for mindshare, not just intent signals.
AI can fake many digital engagement signals, but it cannot fake a handshake or a real-time conversation. In a world flooded with AI-generated content, in-person events provide authentic, verifiable signals of trust and engagement that marketers should prioritize and then scale using video.
By giving junior employees AI agents that "skip steps," companies risk stunting their professional growth. Without learning the foundational principles of a task, they can't develop the context or experience to innovate, troubleshoot, or improve the process, becoming mere tool operators.
AI adoption follows a clear maturity curve. It begins with using chatbots for Q&A (Level 1), evolves to producing content (Level 2), then to using single 'agentic' tools for a specific job (Level 3), and finally to orchestrating agentic workflows across entire teams for complex processes like ABM (Level 4).
A key risk of overusing AI is creating unproductive loops where one AI generates content and another provides feedback with minimal human oversight. This 'AI talking to AI' scenario removes critical human judgment, taste, and context, leading to mediocre or irrelevant output.
The days of needing a specialized editor or large budget for video are over. AI tools have made video production so accessible that creating and editing content will become an expected, non-negotiable skill for the modern marketer, shifting the responsibility from specialists to generalists.