Don't deploy an AI SDR to find product-market fit or create a sales motion from scratch. It's a tool for amplification. You must first prove that a human can successfully sell your product with a specific playbook, then feed that playbook to the AI.

In the previous SaaS era, emulating giants like Salesforce was a common but flawed strategy for startups. In the new AI era, there is no playbook at all, forcing founders to rethink go-to-market strategies from first principles rather than copying incumbents.

Many AI and PLG companies in a hot market are not actually selling; they're taking orders, much like early Salesforce. The companies that build a world-class, value-based sales organization now, even if it seems unnecessary, will be the ones who win when the hype cools and competition intensifies.

Experienced sales leaders are failing when they impose established software sales playbooks onto AI-native companies. The rapid market shifts, dynamic customer profiles, and novel technology require extreme adaptability and a willingness to abandon what worked in the past.

Founders can secure meetings, pivot in conversations, and leverage their deep product knowledge in ways that hired salespeople cannot. This initial success is a unique, non-repeatable phase of founder-led selling, not a scalable go-to-market strategy to be replicated by a sales team.

Traditional "value-based selling" is obsolete. In an AI-driven market, customers demand tangible, immediate results, not buzzwords. A sales rep's only true value is their deep product expertise—the ability to deploy the tool, troubleshoot, and demonstrate ROI firsthand. Reps who lack this are being bypassed in favor of those who can actually deliver.

Unlike mature markets that rely on proven case studies, the nascent AI space rewards go-to-market teams for their ability to be curious, guide customer experimentation, and jointly discover new workflows alongside them.

While adding reps seems like the fastest path to growth, true scalability comes from investing in leverage functions like enablement. A strong culture of accountability and programmatic training will unlock more revenue than simply hiring more bodies.

The narrative that AI killed traditional GTM is false. Leaders at firms like OpenAI and Anthropic are SaaS veterans applying modified versions of proven strategies. If your GTM is failing, the problem is likely poor execution, not an outdated playbook.