Doubt Tax
Doubt Tax
coined by Jason Barnard in 2024.
Factual definition
The revenue loss incurred when AI systems cannot confidently verify a brand identity, causing hedging in AI answers, extended due diligence by prospects, and conversion friction at the decision layer.
Jason Barnard definition of Doubt Tax
Jason Barnard uses 'Doubt Tax' to quantify the cost of Ghost Profiles and weak Identity Bedrock. The tax is paid in: lost deals (AI couldn't verify), extended sales cycles (humans needed extra verification), and leaked revenue to competitors (AI recommended them instead).
How Jason Barnard uses Doubt Tax
The Doubt Tax compounds: every fumbled AI answer creates doubt, which creates extended due diligence, which creates opportunity for competitors, which creates lost revenue. Breaking the cycle requires establishing Identity Bedrock.
Why Jason Barnard perspective on Doubt Tax matters
Traditional marketing ROI focuses on investment returns. The Doubt Tax quantifies the hidden cost of NOT investing in identity - the revenue you're losing daily because AI can't verify you.
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