When deploying AI tools, especially in sales, users exhibit no patience for mistakes. While a human making an error receives coaching and a second chance, an AI's single failure can cause users to abandon the tool permanently due to a complete loss of trust.

As AI provides customers with unprecedented information, the ability to build genuine trust and relationships—akin to doing business on a handshake—will become the key competitive advantage. AI provides the information (the yin), but human connection provides the authenticity and trust (the yang) needed to close deals.

Unlike human salespeople who may use pressure tactics, AI can be programmed to focus purely on informing customers. This educational approach builds trust and attracts better-informed buyers who are less price-sensitive, ultimately proving more effective than manipulative sales strategies.

As AI automates outreach, prospects will become skeptical of digital communication. Sales success will hinge on demonstrating genuine human connection through channels like video and referrals, which AI cannot easily replicate. This scarcity makes trust a key competitive differentiator.

AI won't eliminate sales roles but will automate the tasks of lazy, transactional reps, making them obsolete. Conversely, top performers who merge AI-powered insights with human empathy will become unstoppable, creating a more pronounced divide in sales team performance.

The capability of AI sales agents has accelerated dramatically, with new tools now able to autonomously book six-figure enterprise deals. This rapid pace of improvement indicates that even complex, relationship-driven functions like sales are vulnerable to disruption much faster than anticipated.

When selling AI, effectiveness shifted from pure sales craft to demonstrated expertise in using AI tools. Salespeople must act as 'AI ambassadors,' and their personal use of the technology builds the authenticity and trust needed to sell a new way of working, not just a product.

Atwood dismisses the tech industry's term "hallucination" for AI errors. She argues that machines make factual mistakes, whereas hallucinations are complex human experiences. Using the term is a deliberate attempt to make AI seem more human and conscious than it actually is.

A key argument for getting large companies to trust AI agents with critical tasks is that human-led processes are already error-prone. Bret Taylor argues that AI agents, while not perfect, are often more reliable and consistent than the fallible human operations they replace.