How Do You Make a Good Prediction?

Key Takeaways

• Data trends revealed Sora’s 30% monthly download decline
• AI video generation costs $15 M daily, unsustainable
• Horizon Worlds peaked at 300k MAU, far below MySpace
• Human‑centred design flaws hinder VR adoption
• Skepticism of hype uncovers hidden market risks

Summary

Prof. Scott Galloway’s prediction framework proved prescient when Meta shut down Horizon Worlds and OpenAI discontinued Sora. The model emphasizes constant data consumption, pattern recognition, and a skeptical view of hype. Sora’s downloads fell 30% month‑over‑month, then another 45%, while its AI video engine burned roughly $15 million daily and generated only $2 million in revenue. Horizon Worlds never attracted more than 300,000 monthly active users, far short of legacy platforms like MySpace.

Pulse Analysis

The first pillar of Galloway’s framework is relentless data ingestion. By treating markets and platforms as long‑term companions, analysts can spot early warning signs that casual observers miss. In Sora’s case, a sharp 30% month‑over‑month download drop followed by a 45% decline signaled waning consumer interest, while the staggering $15 million daily energy cost—about 2,000 times that of text‑based AI—made the business model untenable. Such quantitative red flags are often drowned out by viral hype, but a disciplined focus on numbers cuts through the noise.

A second pillar rests on evolutionary psychology. Human brains are wired for efficiency and safety, traits that clash with cumbersome VR headsets that obscure peripheral vision and appear socially unattractive. Galloway argued that these innate biases doomed the metaverse concept long before any technical fix could be applied, a view validated by Horizon Worlds’ modest 300,000 monthly active users—less than half of MySpace’s peak traffic. Understanding these biological constraints helps companies design products that align with natural human behavior rather than forcing adoption.

The final element is contrarian skepticism toward consensus narratives. When a platform like Sora garners celebrity backing—Disney’s $1 billion bet, for example—the crowd often overlooks fundamental economics. By questioning the “1% rule” of content creation, Galloway’s team recognized that the majority of users prefer consumption over production, limiting the platform’s growth potential. Coupled with a talent‑centric culture that empowers young analysts to surface insights, this approach creates a feedback loop where fresh perspectives continuously refine forecasts, offering a competitive edge for businesses navigating fast‑moving tech landscapes.