Users rarely seek out separate AI functionality. Adoption becomes natural when AI assistance appears contextually within existing workflows, addressing friction points directly where the user is already working. This embedded approach is far more effective than adding AI as a separate, layered-on tool.

As consumers become wary of "AI," the winning strategy is integrating advanced capabilities into existing products seamlessly, like Google is doing with Gemini. The "AI" branding used for fundraising and recruiting will fade from consumer-facing marketing, making the technology feel like a natural product evolution.

Judging consumer AI's success by chatbot user growth is misleading. The real adoption is happening 'invisibly' as generative AI enhances existing popular experiences, like Instagram's recommendation engine and Amazon's product search, rather than in standalone chat apps.

Instead of launching new standalone apps, Meta's AI strategy will likely focus on building adjacent features into its existing platforms. This approach leverages massive user bases and data, such as adding business tools to WhatsApp or advanced video editing to Instagram.

The most effective application of AI isn't a visible chatbot feature. It's an invisible layer that intelligently removes friction from existing user workflows. Instead of creating new work for users (like prompt engineering), AI should simplify experiences, like automatically surfacing a 'pay bill' link without the user ever consciously 'using AI.'

To get mainstream users to adopt AI, you can't ask them to learn a new workflow. The key is to integrate AI capabilities directly into the tools and processes they already use. AI should augment their current job, not feel like a separate, new task they have to perform.

Success in AI product development is not about marketing 'AI features.' It's using technology behind the scenes to solve user problems so seamlessly that it feels like magic. The user shouldn't notice the AI, only that their problem is solved effortlessly.

The debate over whether "normal people" will use AI agents is misleading. Widespread adoption won't come from standalone agent apps but from agents being seamlessly integrated into the background of existing platforms, making their use completely invisible to the end-user.

To drive adoption of AI agents, don't force users into a new application. Instead, integrate the agent directly into their existing collaboration tools like Slack. This approach reduces friction and makes the agent feel like a natural part of the team, leading to higher engagement and user satisfaction.