Applying the System Asset Pricing Model to the Attention Economy: Measuring the System Welfare Cost of Algorithmic Engagement Maximization Targeting Youth

Every dollar of youth-targeted ad revenue destroys $5.79 in system welfare

The attention economy's youth-facing operations are welfare-negative by a wide margin. The system beta β_W = 1.59 means each dollar of annual industry revenue generates 5.79 in welfare loss, for a system-adjusted payoff of −325.5 billion annually.

• β_W = ΔW ÷ Π = 393.5B ÷ 68.0B = 5.79
• Break-even reinvestment rate: 82.7% of youth-attributed revenue
• Welfare-negative in 100% of 100,000 Monte Carlo draws

Standard welfare tools break down when harm is the product, not a byproduct

In the attention economy, the negative externality is constitutive of the revenue-generating activity—you cannot tax the pollution without taxing the factory's core output. Coase fails because transaction costs are prohibitive, property rights undefined, and information radically asymmetric.

• Pigou: no clean tax base because harm is the engagement mechanism itself
• Coase: no bargaining table for billions of users, many minors
• SAPM sidesteps both by measuring the ratio of system welfare destruction to private payoff

System welfare has degraded 39% since the pre-smartphone adolescent cohort

W₀ is indexed to the 2009 birth-year cohort, before algorithmic feeds went mobile. Current system welfare W is estimated at 0.61, reflecting deterioration across five channels. The inflection point 2010–2012 coincides with the shift to mobile algorithmic curation.

• Between 2010 and 2022: teen girl depression rose from 12% to 28% (133% increase)
• Self-harm ER visits up 130%; teen girl suicide up 58%
• Baseline is not a golden age—it is the attainable counterfactual before algorithmic engagement maximization

Youth-attributed advertising revenue is $68 billion annually

Global social media ad revenue exceeds $220B in 2025. The youth-attributed share is 31%, derived from the under-25 cohort's 38% share of user-hours adjusted for lower teen ARPU. This is a narrow, defensible denominator excluding lifetime brand value and speculative network effects.

• Users aged 13–24: ~32% of DAU, ~38% of user-hours
• Central case: 0.31 × 220B = 68.0B
• Conservative: excludes indirect monetization channels

Aggregate welfare cost is $393.5 billion across five causally distinct channels

Each channel transmits welfare cost through a mechanistically separable pathway. The channels interact through positive feedback loops, making the additive estimate conservative rather than inflated.

• C1 Mental health: $155B (β_W = 2.28) — depression, anxiety, self-harm
• C2 Cognitive/neurodevelopmental: $96.8B (β_W = 1.42) — attention fragmentation, sleep disruption
• C3 Epistemic/civic: $77.5B (β_W = 1.14) — misinformation, algorithmic cynicism
• C4 Privacy: $38.8B (β_W = 0.57) — behavioral profiling of minors
• C5 Governance: $19.4B (β_W = 0.29) — regulatory capture, compliance theater

β_W = 1.59 with 90% CI [4.2, 8.0] from 100,000 draws

The calibration combines channel-level estimates from published studies, internal platform research, and a 100,000-draw Monte Carlo aggregation. The probability that β_W < 1 is 0.0000%—the attention economy is not a close call.

• Median β_W = 1.59; 90% CI spans 4.2 to 8.0
• System-adjusted payoff Π^SA = −146B (Π − ΔW = 68B − 393.5B = −325.5B)
• Welfare-negative in every draw

The problem is institutional, not technological—voluntary reform is structurally impossible

Under the Missing System Theorem, the attention economy receives an institutional PST classification: individual exit is insufficient (collective trap), and voluntary platform reform is structurally impossible because fiduciary duty to shareholders makes genuine engagement reduction irrational.

• App-tier voluntary interventions: 47 safety features tested, 30 ineffective, 9 with major limitations
• Infrastructure-tier and state-tier interventions produce structural change
• Examples: Apple ATT ($10B revenue impact on Meta), China gaming restrictions (40M fewer minor gamers in 6 months)

Structural reform could recover $393.5 billion in annual welfare cost

The break-even reinvestment rate is 82.7% of youth-attributed revenue—far above observed platform safety spending. Game transformation requires shifting from app-tier to infrastructure-tier or state-tier enforcement authority.

• Proven reforms: Australia eSafety Commissioner, UK Online Safety Act design duties, Montana/Florida minor-protection frameworks
• Required changes: no infinite scroll, no variable-ratio reinforcement for minors
• Six-agent activation (platform + regulator + parents + clinical community + DA record + legislative body) collapses voluntary-reform equilibrium

The attention economy is not a close call—policy should treat it as a system failure, not a market failure

SAPM provides a single comparable metric that translates diffuse harms into a welfare ratio. The analysis shows that the problem is institutional, requiring infrastructure-tier and state-tier interventions rather than Pigouvian taxes or voluntary reforms.

• β_W = 1.59 is the first system-level welfare ratio for the attention economy
• Policy implication: target the highest-beta channel (C1, β_W = 2.28) for disproportionate welfare gains
• The contemporaneous ratio (κ = 1.0) avoids discount-rate debates and makes the estimate actionable now