● Tokenmaxxing Surges
What if your company’s performance indicators (KPI) right now changed from ‘sales’ or ‘lines of code’ to ‘how much you overworked the AI’?Surprisingly, in the center of the world’s technology hub, this unbelievable change has already become a reality.While YouTube and general news merely spout superficial stories like ‘Nvidia is doing well’ or ‘A new AI is out,’ this article uncovers the real flow of money where the very structure of the industry is completely overturning.The massive changes directly related to our livelihoods in the future and the key takeaway survival strategies that others do not yet know are all contained in this single article.If you read this article to the end, you will gain overwhelming insights that you can immediately apply to your practical work.
[News Briefing] Neither Code Nor Sales! The ‘Tokenmaxxing’ Boom Shaking Silicon Valley
1. The Landscape of Performance Indicators Changes: The Silicon Valley Trend Where Tokens Equal Power
It is said that the conversation topics among engineers in San Francisco during dinner have completely changed lately.In the past, they would ask, “What kind of code are you writing these days?” or “What are you building?”However, now the question, “How many agents are you running?” has taken its place.Surprisingly, managers at global Big Tech companies like Meta and Spotify have actively begun to incorporate ‘AI usage’ into their employees’ performance evaluations.A competition to prove one’s productivity and ability by how many ‘tokens’ (the smallest unit of data recognized and generated by AI) one consumes, the so-called ‘Tokenmaxxing’ phenomenon, is exploding.
2. The Overwhelming Token Consumption Scene Confirmed With Our Own Eyes
The case of ‘Twelve Labs,’ a representative Korean-founded AI infrastructure startup in San Francisco encountered during Nvidia GTC 2026, is shocking.Led by CEO Jae-sung Lee, this company is doing innovative work turning all the videos in the world into understandable data.Recently, this company transparently disclosed the AI usage dashboard to all employees.As a result, an employee emerged who used a whopping 8,000 dollars worth of tokens in just two days.The same goes for other global companies.An engineer at OpenAI made headlines for processing 210 billion tokens in a week, an amount that could fill the entire Wikipedia 33 times over.Additionally, rumors are circulating that a user at Anthropic spent over 150 million won in a single month using the AI coding tool ‘Claude Code’.This is vivid proof that the business model innovation of companies is evolving towards maximizing the consumption of AI tokens rather than human labor.
3. Declarations of the Masters: “Tokens Equal Sales”
This phenomenon is absolutely not a simple eccentric act or buzzword in the tech industry.Nvidia CEO Jensen Huang declared, “Every result generated by AI is a token, and an economy where tokens equal sales has now begun.”Microsoft’s Satya Nadella also changed the core point performance indicators (KPI) of MS, which has a 50-year history, to a token standard.This is the strongest signal that the economic grammar of the massive artificial intelligence industry itself is fundamentally and irreversibly changing.
🔥 [Exclusive Insight] The Real Core Point That Other YouTube Channels or News Will Never Tell You
The AI Industry Is No Longer ‘Software’ But ‘Manufacturing’
Most media still package AI merely as an advancement in software or services.However, the most important core point I have reinterpreted from the perspective of economy and tech is the fact that “the AI industry has transformed into a massive factory-type manufacturing industry.”In the past, it was important to code well to make great programs, but that is not the case now.Nvidia’s expensive GPUs are no longer simple computing equipment but ‘raw materials’ to run factories.And numerous AI companies have transformed into ‘factories’ that endlessly pump out the finished products of a new era called ‘tokens’ by grinding down these raw materials.
‘Tokens Never Sleep’ – Demand Explosion Led by Agents
We must pay attention to the principle created by Twelve Labs CEO Jae-sung Lee: “Tokens Never Sleep.”Even while employees are off work and resting, the AI agents acting on their behalf operate all night, consuming massive amounts of tokens and producing value.When repetitive tasks are discovered, they are immediately turned into automated skills through AI models like ‘Claude’ and shared across the entire organization.Human time is limited to 24 hours a day, but the demand for tokens consumed by agents explodes infinitely.This is the true face of the approaching Fourth Industrial Revolution, and the core point operating principle of a new token economy that transcends human limits to create explosive wealth.
< Summary >
- Change in Indicators: Silicon Valley’s performance evaluation (KPI) criteria are rapidly shifting from ‘number of lines of code’ or ‘sales’ to AI ‘token usage (Tokenmaxxing)’.
- Actual Cases: The spread of a culture proving productivity through AI usage, such as Twelve Labs (using 8,000 dollars in two days) and OpenAI (processing 210 billion tokens per week).
- Declarations of Leaders: Both Jensen Huang and Satya Nadella officially stated that “tokens equal sales and are the new economic grammar of companies.”
- Restructuring of the Industry Structure (Core Point): The AI industry is no longer software, but has evolved into a massive ‘manufacturing industry’ that produces ‘tokens’ using GPUs as raw materials.
- Agent Economy: Under the principle that “tokens never sleep,” AI agents working 24 hours a day on behalf of humans are infinitely driving up token demand and corporate value.
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*Source: https://www.themiilk.com/articles/a0d0383b2?utm_source=Viewsletter&utm_campaign=24a4aaf3b2-viewsletter744_COPY_01&utm_medium=email&utm_term=0_-66ea647efa-385751177
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