To get the best results from AI, treat it like a virtual assistant you can have a dialogue with. Instead of focusing on the perfect single prompt, provide rich context about your goals and then engage in a back-and-forth conversation. This collaborative approach yields more nuanced and useful outputs.
Generative AI models often have a built-in tendency to be overly complimentary and positive. Be aware of this bias when seeking feedback on ideas. Explicitly instruct the AI to be more critical, objective, or even brutal in its analysis to avoid being misled by unearned praise and get more valuable insights.
Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.
Contrary to the popular belief that failing to adopt AI is the biggest risk, some companies may be harming their value by developing AI practices too quickly. The market and client needs may not be ready for advanced AI integration, leading to a misallocation of resources and slower-than-expected returns.
While businesses are rapidly adopting AI for content creation and communication, Gen Z consumers have a strong aversion to anything that feels artificial or inauthentic. If this demographic can detect AI-generated content in sales or marketing, they are likely to ignore it, posing a significant challenge for brands targeting them.
Instead of viewing AI with a fear-based scarcity mindset (e.g., "How will this replace me?"), adopt an abundance approach. Ask how AI can augment your skills and make you better at your job. Professionals who master using AI as a tool will become more, not less, valuable in the marketplace.