As AI makes it easy to generate 'good enough' software, a functional product is no longer a moat. The new advantage is creating an experience so delightful that users prefer it over a custom-built alternative. This makes design the primary driver of value, setting premium software apart from the infinitely generated.

The need for emotional connection isn't limited to consumer products. All software is used by humans whose expectations are set by the best B2C experiences. Even enterprise products must honor user emotions to succeed, a concept termed 'Business to Human'.

The ultimate PLG companies are consumer brands like shampoo, which sell on brand affinity, not commoditized features. As software becomes more commoditized, B2B companies must similarly build a strong brand theme that inspires users to associate with them, creating a more durable moat than features alone.

Businesses like jewelers mistakenly dismiss LinkedIn as purely for B2B. This is a flawed view because every professional on the platform is also a consumer ('a C'). This creates a significant, overlooked opportunity for direct-to-consumer sales in a less saturated environment.

Don't design solely for the user. The best product opportunities lie at the nexus of what users truly need (not what they say they want), the company's established product principles, and its core business objectives.

As software commoditizes, the buying experience itself becomes a key differentiator. Map the entire customer journey, from awareness to renewal, and design unique, valuable interactions at each stage. This shifts the focus from transactional selling to creating a memorable, human-centric experience that drives purchasing decisions.

While brand consistency is a benefit, the primary business impact of a well-built design system is operational efficiency. It drastically accelerates speed to market for new features and slashes onboarding time for new hires because the system's intelligence is effectively self-documenting.

AI tools that generate functional UIs from prompts are eliminating the 'language barrier' between marketing, design, and engineering teams. Marketers can now create visual prototypes of what they want instead of writing ambiguous text-based briefs, ensuring alignment and drastically reducing development cycles.

The rise of AI agents means website traffic will increasingly be non-human. B2B marketers must rethink their playbooks to optimize for how AI models interpret and surface their content, a practice emerging as "AI Engine Optimization" (AEO), as agents become the primary researchers.