Historically, the effort and resources needed to execute an idea were the biggest hurdles. With AI, the distance between imagination and execution has shrunk dramatically, making creativity the new bottleneck and a key driver of value creation.
Proficiency with AI is less about technical mastery and more about the user's ability to think critically and ask complex questions. The main differentiator between an expert and a novice user is the complexity and quality of their thinking, not hours of practice.
AI's fundamental changes are rendering experts with decades of experience in pre-AI methodologies irrelevant. The new authorities are practitioners actively using the tools to reinvent GTM, not those relying on outdated playbooks, regardless of their tenure.
There are three levels of trust for customer data: CRM data (low), customer words (medium), and customer actions (high). Use AI to compile timelines of successful customer actions (e.g., product usage) to build reliable hypotheses about who to target next.
Employees who master AI tools become frustrated with the slow pace and incremental improvements of traditional organizations, leading them to quit. Once they experience AI's potential for radical speed, they can't go back to a pre-AI way of working.
Instead of aiming for a single perfect campaign, use AI to rapidly launch a high volume of 'above-average' experiments. The ability to iterate and correct mistakes a day later makes the low cost of being wrong a strategic advantage, favoring speed over polish.