In 2025, adding AI features was enough to gain market attention. In 2026, buyers demand proof that AI investments will lower costs, increase conversions, or improve retention. The focus has shifted from the promise of AI to demonstrating measurable business outcomes.

To cut through the marketing hype around AI, buyers should ask vendors for a live, on-the-spot demonstration. A vendor’s hesitation or need to "put a demo together" is a strong signal that their AI capability is merely a prototype or vaporware, not a production-ready tool.

In a market where every vendor claims to be "AI-powered," differentiation comes from focusing on outcomes. AI should be messaged as a force multiplier that improves existing workflows, enhances efficiency, and provides intelligence, not as a standalone product.

SMB owners are not asking for technologies like AI by name. They are asking for outcomes and efficiency. B2B marketers should position advanced features not as 'AI' or 'video tools,' but as embedded, invisible solutions that make a marketing hour more impactful. The goal is to provide tools that a business owner can naturally use to get a return, without needing to become a technology expert.

Vendors fail to connect with SMBs on AI because their messaging is either too technical and intimidating or too aspirational and fluffy. SMB partners and customers want clarity, not hype. They need simple, concrete use cases demonstrating tangible business value like productivity gains or automation, not visions of futuristic robots.

Businesses are unlikely to use powerful AI simply to shave a few percentage points off their software spend. The real, high-impact ROI comes from applying AI to improve core business operations, making the actual business more effective and efficient.

Now that generative AI is accessible to all, claiming "we have AI" is table stakes. The real competitive advantage lies in clearly articulating what the AI *does* for the user to create a differentiated product experience and value proposition. The key question is always, "So what?"

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.

Matt McKinney, CEO of Loop, states his supply chain customers don't care about "agentic buzzwords." They are buying superior business outcomes like faster book closing or better error detection. This emphasizes that for many enterprises, AI is a means to an end, not the product itself.