Google Cracked AI Monetization. Meta, Microsoft, and Amazon Haven't.

2021-11-04 · Source: High ROI AI · Field: Business & Management — Corporate Strategy & Leadership, Entrepreneurship & Start-ups, Artificial Intelligence & Machine Learning · Depth: Intermediate, long

Summary

Four major tech companies—Google, Meta, Microsoft, and Amazon—recently reported earnings, collectively committing over $700 billion to AI spending by 2026. Despite all four beating consensus earnings estimates, their stock performance varied significantly, with Google up 9% and Meta down almost 8%. This divergence is attributed to Google's clear and coherent AI monetization strategy, which effectively addresses investor concerns by demonstrating value creation across three key modes: making marketplaces more efficient, enabling new value creation, and growing the ecosystem's pie. In contrast, Meta, Microsoft, and Amazon, while showing strong AI-related numbers, struggled to articulate a clear ROI for their substantial AI investments, often focusing on efficiency gains rather than broader market expansion or novel capabilities, leading to investor skepticism regarding their long-term AI strategies.

Key takeaway

For product leaders and founders building AI software, your roadmap must move beyond mere efficiency gains. You should prioritize developing AI solutions that either remove middlemen in your customers' marketplaces, enable new value creation previously impossible, or expand the market for your customers' customers. Failing to articulate how your AI strategy addresses at least two of these value creation modes risks commoditization by hyperscalers and difficulty securing investment.

Key insights

Clear AI monetization strategies that demonstrate value creation beyond efficiency are crucial for investor confidence.

Principles

• Cost-cutting is a bridge, not a finish line for AI value.
• Vertical integration creates a reinforcing AI flywheel.
• Quantifiable AI ROI is essential for investor funding.

Method

AI monetization can be achieved by removing middlemen in marketplaces, enabling entirely new value creation, and expanding the overall market for partners and customers.

In practice

• Focus AI solutions on marketplace efficiency.
• Develop AI to enable previously impossible customer workflows.
• Build AI platforms that grow customers' end-user markets.

Topics

• AI Monetization
• Google AI Flywheel
• Meta AI ROI
• AI Infrastructure Monetization
• Marketplace Efficiency

Best for: Executive, Product Manager, Investor, Director of AI/ML, AI Product Manager, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by High ROI AI.