AI Scales Logarithmically, Costs Drop 10x Yearly, Value Explodes
AI model intelligence equals log of training/inference resources; costs fall 10x every 12 months (e.g., GPT-4 to GPT-4o: 150x drop); intelligence gains yield super-exponential socioeconomic value, fueling AGI-driven growth.
Predictable Scaling Laws Enable Continuous Intelligence Gains
AI model intelligence correlates directly with the logarithm of resources invested—primarily training compute, data, and inference compute. This holds across orders of magnitude, per accurate scaling laws, allowing predictable gains from arbitrary spending. Unlike Moore's Law (2x performance every 18 months), AI costs drop 10x every 12 months, spurring massive usage increases. Evidence: GPT-4 token price in early 2023 to GPT-4o in mid-2024 fell 150x, accelerating adoption far beyond historical tech shifts.
These dynamics create super-exponential socioeconomic value from linear intelligence improvements, justifying sustained exponential investment without foreseeable limits. Result: Astonishing economic growth, enabling cures for all diseases, more family time, and unlocked creative potential—potentially letting everyone achieve more than today's top performers within a decade.
AI Agents as Scalable Junior Workers Transform Knowledge Work
Deploying AI agents—like software engineering agents capable of mid-level tasks (days-long, under human supervision)—multiplies productivity. One agent acts as a junior coworker (strong in routines, weak in novel ideas); scale to 1,000 or 1 million per field, and knowledge work reshapes entirely. Economically akin to transistors: pervasive, under-the-hood impact across computers, cars, and more, with gains widely distributed rather than concentrated in 'transistor companies.'
Short-term continuity persists (daily life in 2025 mirrors 2024), but long-term upheaval looms: new jobs emerge unlike today's, prioritizing agency, willfulness, resilience, and adaptability. AGI amplifies individual impact, especially in science (accelerating progress beyond all else). Prices for intelligence-constrained goods plummet; luxuries and land rise. Uneven effects hit industries variably, but overall prosperity surges per historical tech patterns.
Policy Must Balance Empowerment, Safety, and Equity
Technical path to AGI is clear, but societal integration demands co-evolution via early product releases. Shift toward individual empowerment—more open-sourcing, user control—avoids authoritarian misuse (e.g., surveillance). Safety trade-offs are inevitable, rejecting recklessness while prioritizing autonomy.
Broad benefit distribution is key, as tech boosts averages (health, prosperity) but not equality. Capital-labor imbalances risk worsening; intervene early with ideas like universal 'compute budgets' for abundant AI access, or slash intelligence costs relentlessly. Goal: By 2035, equip everyone with 2025-global-equivalent intellect, unleashing untapped talent for collective creative explosion.