🎯 Magnitudes of intelligence

2026-02-14 · Source: Exponential View · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Novice, medium

Summary

The article explores the concept of scale, drawing parallels with Charles and Ray Eames' 1977 film "Powers of Ten," which visually demonstrates orders of magnitude. It applies this concept to the author's personal token consumption with AI models, specifically Anthropic's Claude API. Starting from approximately 1,000 tokens per day with ChatGPT in November 2022, usage escalated to 10,000 tokens daily with GPT-4 in early 2023, then to 100,000 tokens per day by late 2023/early 2024 for daily collaboration. By late 2024, the author reached 1 million tokens daily, integrating AI into workflows for repetitive tasks. By late 2025, usage hit 10 million tokens per day, driven by AI-assisted software development and multi-agent systems like EV Prism and EV Clade, which consume millions of tokens for research and critical analysis.

Key takeaway

For AI Product Managers evaluating AI integration strategies, recognize that scaling token consumption by orders of magnitude shifts AI from a tool to a foundational infrastructure. Your planning should anticipate these transitions, moving from individual user interactions to automated workflows and multi-agent systems, which will require different architectural considerations and cost models. Focus on building systems that can manage and orchestrate large-scale token flows.

Key insights

Increasing AI token consumption by orders of magnitude fundamentally changes how AI is used and integrated into workflows.

Principles

• Scale transforms essence, not just quantity.
• AI capabilities evolve with increased token context.

Method

The author's progression involved integrating AI from novelty use to daily collaboration, then into automated workflows, and finally into core software development and multi-agent systems, each step marked by an order-of-magnitude increase in token usage.

In practice

• Start with small, focused AI interactions.
• Scale AI use for repetitive tasks and workflows.
• Develop AI-orchestrated pipelines for complex analysis.

Topics

• AI Token Consumption
• Large Language Models
• AI Workflow Automation
• Generative AI Scaling
• Multi-agent AI Systems

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, AI Product Manager, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Exponential View.