The most viable commercial path for AI is in B2B applications, not consumer products. Major players like OpenAI and Meta are pivoting their AI tools to serve businesses (e.g., coding, ad creation), not the general public. This suggests that the real monetization of AI lies in its utility as enterprise software, challenging the hype around consumer AI.

Instead of selling AI directly to consumers, Meta provides AI tools to its 15 million business advertisers. This makes ads smarter and more effective, increasing ad revenue. This profitable ad machine then funds Meta's massive, long-term AI ambitions, creating a powerful flywheel.

Meta's acquisition of AI agent company Manus may be focused on serving advertisers, not end-users. The goal is to let businesses state a high-level objective, like acquiring a customer, and have AI agents automate the entire funnel from ad creation to final sale, streamlining operations for Meta's true customers.

Meta is likely acquiring Manus to pair its AI agent technology with its open-source models for on-premise enterprise deployments. This signals a strategic expansion into enterprise tooling, moving beyond its core social media business and leveraging its existing open-source leadership.

Unlike enterprise tools that require slow adoption cycles, Meta can instantly deploy AI model improvements into its ad-serving system. This creates an immediate, measurable revenue lift, giving it a significant advantage in monetizing AI breakthroughs without a complex go-to-market strategy.

Unlike competitors who would struggle to introduce ads into AI chat, Meta's user base is already accustomed to ads in their feeds. This gives Meta a unique advantage to monetize a proactive consumer AI agent that can surface sponsored suggestions for shopping or travel without creating user friction.

While the market awaits new AI-native products from Meta, its real AI success is in its core business. A 9% CPM increase in a weak economy indicates its ad-serving algorithm's effectiveness improved by double digits in a single quarter, a massive financial win.

Instead of competing on general capabilities, Meta could leverage its core business by creating an LLM specifically for writing effective ad copy. Fine-tuned on its massive dataset of ad performance, such a tool would be invaluable to its millions of advertisers and give it a unique, defensible position.

Meta's acquisition of Manus, an agentic AI tool, reveals their goal to completely automate the media buying cycle. Soon, advertisers may only need to input a product URL and budget, with AI handling everything from creative generation to campaign management, making manual intervention obsolete.