Pratica di Shadowing: Why AI won't make you rich in 2026 - Impara a parlare inglese con i video

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In this video, I'm going to make a case against AI

and more specifically why more people are not making money despite using AI a lot

and token maxing and vibe coding and making all these apps and all that stuff.

And so the big misconception I think around AI is that AI somehow canceled every other form of leverage.

And if you're new to the channel, leverage just means the difference in what you put in and what you get out.

If you have a lot of leverage, you put a little bit in, you get a lot out.

If you have low leverage, then you put a lot in, you get a little bit out.

So AI introduces high leverage, which is great.

But the thing is, is that there's a lot of things that create leverage.

And so this whole misconception around like, oh, we must only use AI in order to succeed, taken differently, businesses right now who are using AI

and individuals who are using AI and they're seeing their token bills go up are somehow not making more money.

And so what I find kind of interesting is a couple of things.

So number one, when I look at our business, we now have had another kind of step increase in our revenue.

But it's not because of AI.

That's the thing.

It's not because of AI.

If AI didn't exist, we still would have had the increase.

And so it's not like a direct line there.

The second kind of proof point that I think is more interesting around this, and then I'll give you some tactics, is that I talked to a number of my wealthiest, oldest friends over the last week or two.

and I said listen I know you need to have public

appearances saying of course we're you know I'm a super AI advocate

because you have to do that um

but I said how much are you actually using AI every day

and like they kind of like look around

and they're like dude I'm not using AI

and I was like well your teams are

and he's like oh yeah of course you know of course

you know they're like of course our teams are using it

and I'm bringing people in and we're training the team up

and all that kind of stuff and I was like

but you're not using it and they're like no no I'm not

and I was like so that's very interesting to me and

so this is the thought that i i kind of want to challenge you with

and i'll leave some tactics at the end

which is there are a lot of forms of leverage

and many forms of leverage are multiplicative so for example capital still has tremendous leverage

ai coming in didn't somehow erase the leverage that capital uses

if you are in media and you make a video like this

and thousands of people see it or millions of people see it

that is tremendous leverage right ai doesn't erase that um and

when you multiply some of these together let's say you have capital

and you have media

and maybe you have teams right people still create leverage for other people um i do find it ironic

that like these the frontier labs

that have all this ai still have thousands of employees and

so it's just like kind of interesting as a counterpoint of like well people are still being you know needed

and useful But the thought of it is this,

is that I'm seeing so many business owners trying to AI max and because their capacity to work has increased using AI,

they are now doing things they otherwise would not have done if they didn't have AI.

But the thing is, those things that they otherwise wouldn't have done were lower priorities.

And so now they're doing things that were less important, faster and automated.

Great.

Not great.

Doesn't matter.

That's my point.

um and so one of the interesting things about not having ai is

that it forces you to prioritize better it focuses you to focus on the things

that are going to move the needle in the business

and i'm not seeing with an exclusion of like just a handful of exceptions um most ai use cases

that i've seen um are not actually making the business a ton more money i think

that having you know way more ad creative, I think for sure is helpful from, from, from an advertising perspective.

We have an AI sales rep, which has been helpful, but the thing is just like the AI sales rep is great, but like, I also know how to build sales teams.

So it's not like this, you know what I'm saying?

Like, it's like, it's, it's more efficient, you know, and it scales, but it's, it's typically not the limiter of the business.

And this is my point is that the constraint of the business, many business constraints, at least to this, at this point are not still as perfectly solvable with AI,

and if they were, then everybody would be making a ton more money.

This is kind of like the crux of this, which is, let me give you some other examples of leverage

that people are just not employing that you don't need any tech expertise to do.

If you have a one-on-one business, you can go to one-on, you know, one-to-one-to-many.

It's like that would create a lot of leverage, even one-to-small group.

It's if you want one-on-one to one-on-ten, you have 10x leverage.

Like, just like that, with that one decision, right?

If you go from having scheduled appointments with clients to asynchronous appointments with clients, it's like that gives you a tremendous it's increasing leverage in terms of how many people you need from a deliverable perspective.

If you change your sales motion so that a higher percentage of people buy, and so instead of needing 10 salespeople,

you need two, and they close the same amount because you've basically educated your prospects throughout the sales process more fully, so they need less information to make the decision,

which means you have fewer conversations and shorter conversations for your sales reps, and they talk to more qualified customers.

Then as a result, you can take what used to take 10 people, and you can funnel it to two.

None of that uses AI.

This is my point, is that there's

so many places in a business where you can increase leverage

that there's this fallacy that because I now have this infinite tool and I'll use infinite with quotes here.

I'm just seeing a lot of people using not making more money.

That's kind of my point.

And so it's this idea that we can throw away the fundamentals of business, but that's not true.

Like you have to, one is you want to use every form of leverage

that you have at your disposal to solve the constraint of the business.

If you don't know what the constraint of the business is

you're just doing more shit automated does not make you more money

and i think this was the conversation that i was having

because i'll tell you the the highest leverage thing

that you can do even higher leverage than ai ready for it making good decisions

think about it if i if i have my whole team

and i say hey guys we're actually not going to do this whole bunch of work over here

because i don't think it's important anymore by doing that i get

so much more out of my team like i it is more efficient for me to determine

that something is not a priority than for me to automate something

that is not a priority that was good that's pretty good.

That is higher leverage.

And so I will get more out of this resource that I have, my team, than if I just try and automate it and then create an output that is irrelevant.

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And so this is what I'm saying.

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And so I think quality still matters.

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AI is not there for a lot of things.

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There's obviously use cases and we're, you know, I would say very early and very aggressive adopters of AI across the business.

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But when I look at the business overall, the things that are growing it are the things that have always grown it, right?

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We need to generate more demand.

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We need to convert a higher percentage of that demand.

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And we need to create, we need to deliver, you know, very high quality stuff.

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And right now AI can help, but it's like having like access to a lot of, it's actually, you know, it's actually probably a really good analogy.

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A lot of, it's almost like access to a lot of virtual assistants like

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third world virtual assistants that's what in some ways right now a lot of the use cases are like

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that I'm not saying it's a perfect analogy

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but like there's a lot of through lines there which is that's always been there

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and to be fair I think virtual assistants right now sometimes are even cheaper than the AI token usage um

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but that's always been there and businesses have still competed

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that didn't them or did have them and it's still the same marketplace

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and there's still high quality and there's still people with good brands

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and there's still great offers and bad offers like

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if you have a terrible offer then ai on the back

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is not going to help you now you can say i'm

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going to use ai to improve my offer maybe maybe not i don't know um

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and so anyways that is my that is my public service announcement

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which is that ai though it increases leverage does not cancel other forms of leverage.

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And for most people, they're using it on things to be more distracted because they have more resources now.

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They are still making poor decisions about how to allocate those resources.

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And as a result, thing three, are not making more money just because they have AI.

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And so I would ask yourself this question, which is, has implementing AI in my business made me more money?

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If it hasn't, then you are likely using it in the wrong place, which means that you need to return to the thing that matters most,

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which is identifying your true constraint and then forcing all of your very limited.

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And I say that for myself included, all businesses compared to the resources available in the world.

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Every one of us has like a speck of resources available to us.

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And so we have that tiny speck and our ability to focus

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that tiny speck of resource on the one thing that's going to move the needle, our skill at being able to do that is the thing that will ultimately make you more money,

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even more than AI.

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AI is just a tool.

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It's not the answer.

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So anyways, that is my two cents for the day.

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I hope you like my very impromptu style.

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If you hate it, you can let me know too.

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Anyways, lots of love.

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If you liked this video and your business owner who wants to break through your current revenue ceiling, I distilled every lesson from scaling 10 businesses past 10 million

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and three businesses past 100 million into a completely free scaling roadmap that I've used to go from 0 to 1, 0 to 10, and 0 to 100 plus.

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And so you can click here and you can check it out.

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Again, absolutely free.

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And since you're a business owner, appreciate you and enjoy.

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Che cosa imparerai in questa lezione

In questa sezione, praticherai l'ascolto e la ripetizione di un discorso in inglese su un argomento attuale: l'IA e il suo impatto sulle opportunità economiche. Analizzerai come il relatore spiega concetti come "leverage" (leveraggio) e smentisce le convinzioni errate, mentre migliorerai la tua pronuncia e la capacità di seguire un flusso di pensiero fluido. Ideale per chi vuole esercitarsi con un tono conversazionale ma informativo.

Parole e frasi chiave

Leverage: (Leveraggio) Differenza tra l'impegno e il risultato ottenuto. Esempio: "AI introduces high leverage" (L'IA introduce un alto leveraggio).
Token maxing: Pratica di utilizzare al massimo i token (unità di misura in IA). Esempio: "people are token maxing and making apps" (le persone stanno facendo token maxing e creando app).
Vibe coding: Sviluppo di codice basato sull'atmosfera o l'energia di un progetto. Esempio: "vibe coding and making all these apps" (vibe coding e creando tutte queste app).
Multiplicative: (Moltiplicativo) Che si combina per aumentare l'effetto. Esempio: "many forms of leverage are multiplicative" (molte forme di leveraggio sono multiplicative).
Lower priorities: (Priorità inferiori) Cose meno importanti. Esempio: "those things were lower priorities" (quelle cose erano priorità inferiori).

Consigli per la pratica con lo shadowing

Il video ha un tono colloquiale ma veloce, con pause naturali per riflettere. Ecco come esercitarti con lo shadowspeak:

Ripeti frasi lunghe come "the big misconception I think around AI is that..." (la grande convinzione errata sull'IA è che...) pausando dopo ogni parte per assimilare il flusso. Concentrati su pronunciare "misconception" e "leverage" chiaramente.
Imita la intonazione del relatore quando smentisce: "But the thing is, is that there's a lot of things that create leverage" (ma il punto è che ci sono molte cose che creano leveraggio). La voce sale leggermente per enfatizzare il "but".
Usa un shadowing site per registrare la tua ripetizione e confrontarla con l'originale. Nota come il relatore usa le pause per organizzare i suoi pensieri, e cerca di riprodurle.
Pratichi con frasi come "capital still has tremendous leverage" (il capitale ha ancora un tremendo leveraggio) focalizzando la pronuncia di "tremendous" e il ritmo della frase.

Con questi esercizi, migliorerai non solo la tua capacità di parlare in inglese ma anche di capire argomenti complessi in contesti reali. Lo shadow speech è un modo efficace per internalizzare il linguaggio quotidiano e i concetti tecnici contemporanei!

La grammatica di questo video

Le strutture che chi parla usa di più, con le parole esatte del video:

Struttura	Nel video
Frasi condizionali if + frase, will/would + verbo — una condizione e il suo risultato	If AI didn't exist, we still would have · if they were, then everybody would be
“Used to” used to + verbo — un’abitudine o uno stato passato che non è più vero	used to take · used to go
Present perfect have/has + participio passato — un’azione passata che conta ancora adesso	have had · has increased · i've seen
Frasi relative who / which + frase — un’informazione in più su una persona o una cosa	leverage, which is · rep, which has · this, which is

Cos'è la tecnica dello Shadowing?

Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.

Tecnica dello shadowing: leggi la guida completa passo dopo passo →

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Che cosa imparerai in questa lezione

Parole e frasi chiave

Consigli per la pratica con lo shadowing

La grammatica di questo video

Cos'è la tecnica dello Shadowing?