Resist adding every interested partner to your program. Instead of focusing on quantity, vet potential partners based on their profile and a clear "propensity to sell" your specific solutions. This ensures a mutually beneficial relationship and avoids wasting resources trying to force an unnatural fit.

To scale specialized product training, like for AI solutions, segment partners by their expertise and selling motion, not just their company size. Create tiered training programs and offerings (e.g., expert vs. associate level) that align with a partner's specific capabilities and the solutions they are likely to sell to their customers.

The number one factor for customers choosing a partner is now industry expertise and consultation, surpassing pricing and product catalogs. This signals a fundamental market shift requiring partners to move away from a generalist approach and instead develop deep, specialized knowledge in vertical markets to build trust and differentiate themselves.

A genuine partnership is a long-term investment where a vendor empowers the partner to build and sell their own value-added services around the core product. This creates a deeper, more sustainable, and mutually beneficial relationship beyond simple reselling.

Enterprises struggle to get value from AI due to a lack of iterative, data-science expertise. The winning model for AI companies isn't just selling APIs, but embedding "forward deployment" teams of engineers and scientists to co-create solutions, closing the gap between prototype and production value.

In the AI era, large enterprises still prefer vendors who act as partners, offering on-site training and change management support. This "old-school" approach builds trust and ensures successful adoption, often trumping a purely tech-driven or product-led growth (PLG) motion.

Shift from a transactional view of partners to a long-term investment mindset. This "Partner Lifetime Value" approach, which treats partnerships like long-term assets, acts as a force multiplier for growth, leading to higher profitability and success.

Similar to how "born in the cloud" MSPs disrupted the channel ecosystem, a new category of "born in AI" partners is now emerging. These specialized firms are built from the ground up to deliver AI solutions. Legacy partners must adapt by building or acquiring AI practices to compete with these new, highly focused players.

The future of technology sales, particularly AI, is not about selling infrastructure but about solving specific business problems. Partners must shift from a tech-centric pitch to a consultative approach, asking 'what keeps you up at night?' and re-engineering customer processes.