The rapid growth of AI products isn't due to a sudden market desire for AI technology itself. Rather, AI enables superior solutions for long-standing customer problems that were previously addressed with inadequate options. The demand existed long before the AI-powered supply arrived to meet it.

The goal of "always-on" engagement is a seamless, contextual relationship. The best model is interacting with a friend: you can switch from text to a phone call, and they'll remember the context and anticipate your needs. This is the new standard AI should enable for brands.

The next wave of consumer AI will shift from individual productivity to fostering connectivity. AI agents will facilitate interactions between people, helping them understand each other better and addressing the core human need to 'be seen,' creating new social dynamics.

In a world saturated with AI, authentic human connection and community will become even more crucial. Shared, in-person experiences, like watching a football game with friends, offer a level of fulfillment that technology cannot replicate, making community a key area of future value.

Real-world relationships are complex and costly, whereas AI companions offer a perfect, on-demand, low-friction substitute. Just as social media feeds provided a cheaper dopamine hit than coordinating real-life events, AI relationships will become the default for many, making authentic human connection a luxury good.

Instead of viewing AI as a tool for robotic efficiency, brands should leverage it to foster deeper, more human 'I-thou' relationships. This requires a shift from 'calculative' thinking about logistics and profits to 'contemplative' thinking about how AI impacts human relationships, time, and society.

While AI offers efficiency gains, its true marketing potential is as a collaborative partner. This "designed intelligence" approach uses AI for scale and data processing, freeing humans for creativity, connection, and building empathetic customer experiences, thus amplifying human imagination rather than just automating tasks.

Don't start with a broad market. Instead, find a niche group with a strong identity (e.g., collectors, churchgoers) that has a recurring, high-stakes problem needing an urgent solution. AI is particularly effective at solving these 'nerve' problems.

Despite the hype, AI's impact on daily life remains minimal because most consumer apps haven't changed. The true societal shift will occur when new, AI-native applications are built from the ground up, much like the iPhone enabled a new class of apps, rather than just bolting AI features onto old frameworks.