
The deflationary unit economics of AI
One of the big discussion themes is how AI will scale up and impact us all. Is it a bane or a boon ?
It's instructive to look at the unit economics.
As the AI systems scale, the cost of producing additional outputs - whether it's content, decisions, insights, or services - drops sharply, often approaching zero
The rapid rollout of AI tools by tech giants such as Meta, Google, TikTok and Amazon, aims to replace much of the work traditionally carried out by ad agencies.
Artificial intelligence was hardly a recognized concept in 1956, when leading computer scientists gathered at Dartmouth College for a summer conference.
The term had just been coined by John McCarthy in the event's funding proposal—a visionary attempt to explore how machines might one day use language, solve problems like humans, and even improve themselves.
The group's bold founding belief was bold 'Any feature of human intelligence could ,in principle , be so precisely described that a machine can be made to simulate it.'
That is now a reality. Or is it ?
Meta, which owns Facebook and Instagram, with its 'Infinite Creative' is giving AI-powered, automated, scalable ad creation and optimization.
It's part of Meta's strategy to make advertising more efficient and performance-driven by combining machine learning, personalization, and automation.
Amazon Ads now offers
generative AI
tools that enable brands to create their own ads and dynamically allocate budgets in real time across both linear TV and streaming platforms.
This has major economic and societal implications.
Here's an expansion:
A) Near-Zero Marginal Cost
Once an AI model is trained (often at high upfront cost), it can generate results :text, images, predictions and code at almost no additional cost per unit.
AI doesn't tire, forget, demand higher wages, or require physical resources to scale its output.
B) Productivity Increases Without Proportional Cost
AI tools allow individuals and companies to do more with less.
A single employee with AI assistance can produce the output of a team, reducing the need for large headcounts and pushing prices down.
C) Market Pressure to Lower Prices
As more businesses adopt AI, competition forces everyone to reduce prices. Advertising , Media Buying, Design , Education, Legal services and other knowledge-based industries are vulnerable.
The question remain on the value of Differentiation, Trust, Curation and authenticity of Human experience.
The system is efficient.
The output is infinite.
But will a rolling tear on a cheek still produce poetry?

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