Jimmy Crypto

Human labor is becoming the world’s most valuable data asset.

We’re currently mispricing the future of work.

The prevailing narrative suggests that AI will simply replace human labor, driving the value of human hours toward zero.

This view is not only pessimistic, it’s economically wrong.

We’re actually converging on a reality where human data becomes a market exceeding $2.5 trillion annually.

This isn't a speculative bubble, it’s a structural necessity for the continued advancement of intelligence.

To understand this, we must look at the intersection of automation, economics, and machine learning.

1. The Trap of "Self-Learning"

There is a common fallacy that AI will eventually become a closed loop, learning entirely from synthetic data and self-play.

While synthetic data is powerful, it lacks the fundamental grounding of reality.

Without a continuous injection of human intent, preference, and edge-case judgment, AI models face diminishing returns or, worse, model collapse.

Artificial intelligence requires a teacher.

It needs demonstrations, supervised fine-tuning (SFT), and complex rubric evaluations to understand what "good" looks like.

– The Reality: Even the most advanced models rely on human-defined objectives.

– The Constraint: Intelligence cannot automate what it cannot observe.

Therefore, the limiting factor of the AI economy is not compute, it’s the scarcity of high-quality, structured human judgment.

2. The Economic Flywheel of Automation

Automation does not eliminate work, it compresses time.

When an AI agent handles the rote coordination of a project, it doesn't leave the human with nothing to do.

It allows the human to skip to the high-leverage decision-making.

This creates a permanent, virtuous cycle:

1. Creation: Humans perform a novel, creative, or complex task.
2. Structure: That task is recorded and structured into data.
3. Automation: AI learns from that data and automates the task.
4. Liberation: The human is freed to focus on the next level of complexity.

In this model, human labor creates the "frontier" of value, and AI commoditizes the space behind it.

As distribution costs collapse and availability explodes, the demand for net-new human creativity rises.

3. The Death of "Annotation"

We need to immediately retire the term data annotation.

It implies low-skill, mechanical clicking. That era is over.

We are entering the era of Structured Expert Judgment.

Consider the legal industry.

We’re already seeing platforms (like micro1) where lawyers earn significantly more, sometimes 20% premiums, by generating structured legal data than they do by working traditional hours in a firm.

Why? Because an hour of traditional lawyering solves one client's problem.

An hour of structured lawyering solves that problem AND trains a model that can solve it a million times over.

Companies will pay a massive premium for this data because the leverage is infinite.

Your labor is no longer just a service; it is a capital asset.

4. The Trillion-Dollar Math

How do we reach a $2.5T valuation? The math is surprisingly conservative.

– Global GDP sits at approximately $100 Trillion.
– Roughly $50 Trillion of that is spent on human labor.

Even if we aggressively discount this figure to account for unpriced internal data or inefficiencies, the market for human intelligence signals easily clears the $2.5 Trillion floor.

We’re moving from a world where we are paid to do things, to a world where we are paid to teach machines how to do things.

The humans who embrace this, who view their judgment as a product, will define the next generation of wealth.

Btw, in a future post (over the next few days) I will tell you exactly what to buy if you want to invest in everything I just mentioned.

Keep in mind, I was one of the only people who bought Nvidia at $0.53 a share in 2015.

Those who still haven’t followed me will regret it massively, trust me.

#SECxCFTCCryptoCollab #USNonFarmPayrollReport #BTCVSGOLD #ChinaCrackdown #CryptoMarketAnalysis

Banka Číny právě zveřejnila nová makroekonomická data – a jsou alarmující.
Čína přehání systém triliony likvidity, což znamená největší výrobu peněz v její historii.
To není normální stimulace.
Jedná se o historický nárůst likvidity.
M2 peněžní zásobu Číny se zvýšila parabolicky a teď přesahuje 48 bilionů USD (v ekvivalenci).
Nechejte si to promyslet.
To je více než dvojnásobek celkového množství M2 ve Spojených státech.
A zde je klíčový bod, který většina lidí přehlíží:
Když Čína tiskne peníze, nezpůsobuje jen růst cen akcií.

Ousted Venezuelan leader Nicolás Maduro just pleaded not guilty in NYC federal court to narco-terrorism charges after a shock US capture. Now, rumors are circulating that a massive, hidden stash of Bitcoin.

Initially, Venezuela was thought to only have about 240 $BTC, but the number could actually be as high as 600,000 $BTC!

Whale Hunt report details how Venezuela allegedly built this stash starting around 2018:

1 Liquidating gold reserves (e.g., 73 tons exported in 2018 alone, worth ~$2.7 billion at the time) and converting proceeds into Bitcoin at low prices ($3,000-$10,000 range).

2 Settling oil exports in Tether (USDT) to bypass banking sanctions, then "washing" those stablecoins into Bitcoin for security against freezes.

3 Seizing domestic #Bitcoin mining operations.

The reserve is described as a "shadow reserve" built to evade U.S. sanctions.

Key figure Alex Saab (a close #Maduro associate and alleged financial operator) may control access to these funds, potentially holding the private keys.

Sources are primarily HUMINT (human intelligence from anonymous insiders); the claims have not been verified through on-chain blockchain analysis.

Eyes on wallet forensics as the case unfolds!

#Maduro #Bitcoin #Binance #BNBChainEcosystemRally #BinanceEarnProgram

Venezuela: With immediate effect, Switzerland is freezing any Swiss-based assets linked to Nicolás Maduro. If any assets turn out to be of illicit origin, Switzerland will do its best to ensure that these benefit the Venezuelan population.

Source : news.admin.ch/en/newnsb/4mdM…

A viral post attributed to Donald J. Trump has ignited fresh debate across crypto markets, warning that persistent bearish selling could face severe consequences. The message, sharp in tone and geopolitical in reference, instantly spread across social platforms, amplifying already heightened emotions in an extremely fragile market phase.

Whether interpreted as rhetoric or strategy, the statement underscores how narrative alone can influence sentiment in crypto. Markets at cycle inflection points are especially sensitive to political language, power symbolism, and fear-based messaging—often triggering volatility regardless of fundamentals.

For investors, the episode is a reminder that crypto is no longer just a tech or finance story; it sits at the intersection of politics, macro power, and psychology. In late-cycle environments, words can move markets almost as much as liquidity itself.

#BTCVSGOLD #StrategyBTCPurchase #BNBChainEcosystemRally #BTC90kChristmas #CryptoETFMonth $BTC

Venezuela nemá jen hodně ropy...

Má nejvíce prokázaných rezerv ropy na planetě, přibližně 303 miliard barelů.

Při aktuálních cenách, to je 17,3 bilionu dolarů.

A TRUMP PRÁVĚ ŘEKL, ŽE SPOJENÉ STÁTY TO NYNÍ VLASTNÍ.

Při aktuálních cenách ropy, to je obrovský multibilionový sklad energie, který doslova převyšuje HDP většiny národů.

To je 4 KRÁT HDP Japonska… zamyslete se nad tím.

Ropa je suverénní aktivum vázané na měnové toky, národní rozpočty a fiskální kapacitu.

Při ~303 miliardách barelů má Venezuela asi jednu pětinu celosvětových prokázaných rezerv ropy, skutečná energetická supervelmoc na papíře.

The largest liquidity injection in the last 12 months.
On the final days of 2025, banks pulled $74.6B from the Fed’s Standing Repo Facility, backed by Treasuries and mortgage bonds.
This was the largest single day usage ever since Covid.
This is not emergency QE or money printing.
What we’re seeing is a year end funding squeeze, something that happens almost every December. Banks often reduce private borrowing at year end to make balance sheets look clean.
When private funding tightens, they temporarily borrow from the Fed instead.
What matters is what happens next.
When year end funding stress shows up like this, the Fed usually stays flexible in the months after.
They avoid tightening too hard because they already see where the pressure points are.
That means:
- Less chance of aggressive tightening
- More comfort with rate cuts or easy liquidity in 2026
- Lower risk of sudden funding shocks
For markets, this is important.
When the Fed quietly supports funding at the edges, risk assets usually benefit over time.
This is not instant bullish news.
But it reduces downside risk going into 2026, which is exactly what risk assets need before bigger moves start.
Follow @Jimmy Crypto
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We’ve spent the last 12 months in a bear market.
Every rally since then turned out to be a trap.
Liquidity dried up.
Retail faded away.
Only those with patience made it through.
This is the final phase of capitulation.
The close of the old cycle.
January 2026 — today — marks the beginning of the next one.
A new chapter of wealth creation is starting.
If you survived this bear market,
you may be on the verge of building generational wealth.
#

Just Follow @Jimmy Crypto
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Bitcoin vytvořil místní minimum 21. listopadu přibližně na $80.5K. Od té doby se cenová akce pohybovala v rozmezí mezi $84K a $90K více než měsíc.

Úroveň $90K je kritický odpor, který je třeba znovu získat. Úspěšný průlom nad tuto úroveň by mohl otevřít cestu k $95K a čisté pokračování za tím by pravděpodobně cílilo na oblast $100K+.

Toto zůstává podle mého názoru nejpravděpodobnější scénář. Celkový směr: býčí

Následujte @Jimmy Crypto

#BTC90kChristmas #BTCVSGOLD #BinanceAlphaAlert #BNBChainEcosystemRally #SECTokenizedStocksPlan $BTC