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.

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La Banca della Cina ha appena rilasciato nuovi dati macroeconomici—e sono allarmanti.
La Cina sta inondando il sistema con trilioni di liquidità, segnando l'evento di stampa di denaro più grande della sua storia.
Questo non è uno stimolo normale.
Si tratta di un'espansione storica della liquidità.
L'offerta di moneta M2 della Cina è esplosa, superando ora i 48 TRILIONI di dollari USA (equivalente in dollari).
Lascia che questo si faccia strada.
È più del doppio dell'intera offerta di moneta M2 degli Stati Uniti.
E questo è il punto chiave che la maggior parte delle persone ignora:
Quando la Cina stampa denaro, non si limita ad aumentare i prezzi azionari.

L'ex leader venezuelano Nicolás Maduro ha appena dichiarato non colpevole in un tribunale federale di New York per accuse di narco-terrorismo dopo un'improvvisa cattura da parte degli Stati Uniti. Ora circolano voci secondo cui esisterebbe un'enorme riserva nascosta di Bitcoin.

All'inizio si pensava che il Venezuela avesse solo circa 240 $BTC, ma il numero potrebbe essere effettivamente alto fino a 600.000 $BTC!

Il rapporto Whale Hunt descrive come il Venezuela avrebbe preso iniziato a costruire questa riserva intorno al 2018:

1 Liquidazione delle riserve d'oro (ad esempio, 73 tonnellate esportate nel solo 2018, valutate a circa 2,7 miliardi di dollari all'epoca) e conversione dei proventi in Bitcoin a prezzi bassi (intervallo tra 3.000 e 10.000 dollari).

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…

Un post virale attribuito a Donald J. Trump ha riacceso un vivace dibattito nei mercati crypto, avvertendo che una continua vendita ribassista potrebbe affrontare conseguenze severe. Il messaggio, netto nel tono e geopolitico nel riferimento, si è diffuso istantaneamente attraverso le piattaforme social, amplificando emozioni già elevate in una fase di mercato estremamente fragile.

Che sia interpretato come retorica o strategia, la dichiarazione sottolinea come la narrazione da sola possa influenzare il sentimento nel crypto. I mercati in punti di inflessione del ciclo sono particolarmente sensibili al linguaggio politico, alla simbologia del potere e ai messaggi basati sulla paura, spesso innescando volatilità indipendentemente dai fondamentali.

Il Venezuela non ha solo molto petrolio...

Ha le riserve di petrolio greggio provate più grandi del pianeta, circa 303 miliardi di barili.

Ai prezzi attuali, sono 17,3 trilioni di dollari.

E TRUMP HA APPENA DETTO CHE GLI STATI UNITI ADESSO LO POSSEGGONO.

Ai prezzi attuali del greggio, si tratta di un deposito di energia da diversi trilioni di dollari che letteralmente sovrasta il PIL della maggior parte delle nazioni.

Sono 4 VOLTE il PIL del Giappone... pensaci.

Il petrolio è un attivo sovrano legato ai flussi di valuta, ai bilanci nazionali e alla capacità fiscale.

Con circa 303 miliardi di barili, il Venezuela detiene circa un quinto delle riserve di greggio provate a livello globale, una vera superpotenza energetica sulla carta.

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.
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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.
#

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Bitcoin ha formattato un minimo locale il 21 novembre a circa $80.5K. Da allora, l'azione del prezzo è rimasta confinata tra $84K e $90K per oltre un mese.

Il livello di $90K è una resistenza critica che deve essere riconquistata. Un breakout riuscito sopra questo livello potrebbe aprire la strada verso $95K, e una continuazione pulita oltre a questo potrebbe mirare alla regione di $100K+.

Questo rimane lo scenario più probabile secondo il mio punto di vista. Tendenza generale: rialzista

Segui @Jimmy Crypto

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