Pratique du Shadowing: Why AI won't make you rich in 2026 - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Chaque mode ouvre une salle d'entraînement en plein écran.

144 phrases

Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.

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.

100

And so this is what I'm saying.

101

And so I think quality still matters.

102

AI is not there for a lot of things.

103

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

104

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

105

We need to generate more demand.

106

We need to convert a higher percentage of that demand.

107

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

108

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.

109

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

110

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

111

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

112

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

113

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

114

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

115

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

116

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

117

and there's still great offers and bad offers like

118

if you have a terrible offer then ai on the back

119

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

120

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

121

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

122

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

123

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

124

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

125

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

126

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

127

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,

128

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

129

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

130

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

131

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

132

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,

133

even more than AI.

134

AI is just a tool.

135

It's not the answer.

136

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

137

I hope you like my very impromptu style.

138

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

139

Anyways, lots of love.

140

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

141

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.

142

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

143

Again, absolutely free.

144

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

Télécharger l'application

Tout pour parler couramment

Prononciation IAChaque phrase notée

Phonétique (IPA)Maîtrisez chaque son

VocabulaireEnrichissez votre lexique

Jeu de vocabulaireApprenez en jouant

Scanner le QR

Download on theApp Store Get it onGoogle Play

Même chaîne

FOR YOU

Vidéo recommandée

63 phrases

5 open source tools that replaced my $320/mo AI stack...

Business EnglishUniversity StudentsWorking Adults

79 phrases

AI is flooding the internet—here’s what I’m protecting

Business EnglishUniversity StudentsWorking Adults

441 phrases

5 Claude AI Side Hustles You Can Do In Retirement

Business EnglishWorking Adults

221 phrases

How To Build REAL Wealth by Thinking Like The Top 1%

Business EnglishWorking Adults

209 phrases

Give me 12 minutes, I'll open your eyes to how to actually become rich using AI

Business EnglishDaily ConversationWorking Adults

82 phrases

I spent 3 days at MIT... the robot hype is worse than you think

Business EnglishUniversity StudentsWorking Adults

137 phrases

AI Agents, Clearly Explained

Business EnglishUniversity StudentsWorking Adults

283 phrases

5 "BORING" Habits That Took Me From Broke to Millionaire

Business EnglishWorking Adults

564 phrases

AI-First Playbook: Do a Team's Work With AI (2026) | Peter Yang

Business EnglishWorking Adults

165 phrases

How I'd Learn AI From Scratch in 2026 (skip the useless 80%)

Business EnglishUniversity StudentsWorking Adults

Vocabulaire et conseils d’expression pour cette leçon

Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « Why AI won't make you rich in 2026 ». Cette vidéo contient 144 phrases et 1981 mots à répéter en shadowing. La partie parlée dure 9:40. Le locuteur parle vite, environ 205 mots par minute : attendez-vous à des liaisons et à des sons réduits. 84 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.

Vocabulaire clé de cette vidéo

Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :

Mot	Prononciation	Sens
leverage nom	/ˈlɛv.(ə.)ɹɪd͡ʒ/	effet de levier
constraint nom	/kənˈstɹeɪnt/	contrainte
automate verbe	/ˈɔ.təˌmeɪt/	automatiser
speck nom	/spɛk/	point
token nom	/ˈtoʊkən/	symbole
tremendous adjectif	/tɹɪˈmɛndəs/	formidable
misconception nom	/ˌmɪs.kənˈsɛp.ʃən/	idée erronée
erase verbe	/ɪˈɹeɪs/	effacer
analogy nom	/əˈnæləd͡ʒi/	analogie
needle nom	/ˈniː.dəl/	aiguille
infinite adjectif	/ˈɪnfɪnɪt/	infini
tactics nom	/ˈtæktɪks/	tactique
cancel verbe	/ˈkæn.sl̩/	annuler, résilier
allocate verbe	/ˈæl.ə.keɪt/	allouer
asynchronous adjectif	/eɪˈsɪŋ.kɹə.nəs/	asynchrone

Les verbes à particule que vous entendrez

Mot	Sens
break through verbe	percer
get out verbe	sortir
go up verbe	monter, s'élever
look around verbe	regarder autour de soi
throw away verbe	rejeter, jeter

La grammaire de cette vidéo

Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :

Structure	Dans la vidéo
« Used to » used to + verbe — une habitude ou un état passé qui n’est plus vrai	used to take · used to go
Present perfect have/has + participe passé — une action passée qui compte encore maintenant	have had · has increased · i've seen
Propositions relatives who / which + proposition — une précision sur une personne ou une chose	leverage, which is · rep, which has · this, which is

Prononciation à surveiller

Le locuteur utilise 45 contractions et formes réduites, comme I'm, they're, didn't. Prononcez-les sous leur forme courte, telles que vous les entendez.

Les sons « sh » et « zh »: misconception /ˌmɪs.kənˈsɛp.ʃən/, exclusion /ɪksˈkluːʒən/
Mots longs — placez bien l’accent: misconception /ˌmɪs.kənˈsɛp.ʃən/, analogy /əˈnæləd͡ʒi/, asynchronous /eɪˈsɪŋ.kɹə.nəs/, deliverable /dɪˈlɪvɹəbəɫ/, multiplicative /ˈmʌltɪplɪˌkeɪtɪv/

Les sons difficiles pour les francophones :

/tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: leverage /ˈlɛv.(ə.)ɹɪd͡ʒ/, analogy /əˈnæləd͡ʒi/, educate /ˈɛd͡ʒ.əˌkeɪt/
/r/ anglais — langue recourbée, sans frotter la gorge: leverage /ˈlɛv.(ə.)ɹɪd͡ʒ/, constraint /kənˈstɹeɪnt/, tremendous /tɹɪˈmɛndəs/, erase /ɪˈɹeɪs/, asynchronous /eɪˈsɪŋ.kɹə.nəs/

Comment s’entraîner avec cette vidéo

Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme leverage, constraint, automate.

Qu'est-ce que la technique du Shadowing ?

Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.

Technique du shadowing : lire le guide complet étape par étape →

Pratique du Shadowing: Why AI won't make you rich in 2026 - Apprendre l'anglais à l'oral avec la vidéo

Choisissez un mode d'entraînement

Télécharger l'application

How I Would Build a $10M Service Business (If I Had to Start Over)

"I Quit My Job But Don't Know What Business to Start"

Do This If You Arent Making 100K

If You Want Everything From Life, You'll Get Nothing

You're Running 6 Businesses and That's Your Problem

Why 0.1% Entrepreneurs Think Differently Than 1% Entrepreneurs

How to Get Your Customers to Stay FOREVER

How to Use AI in Your Business in 2026

How to become rich with social media (my exact playbook)

My Best Sales Tactic (to Make a TON of Money)

Video

My honest advice to someone who wants to get rich.

A Cheat Code at 34 I Wish I Knew at 24...

"I Just Wanna Make Money"

How You Feel and What You Do Don't Need to Correlate

Video

Send This To Your Parents....

Reacting to My First Videos 10 Years Later

Video

View

5 open source tools that replaced my $320/mo AI stack...

AI is flooding the internet—here’s what I’m protecting

5 Claude AI Side Hustles You Can Do In Retirement

How To Build REAL Wealth by Thinking Like The Top 1%

Give me 12 minutes, I'll open your eyes to how to actually become rich using AI

I spent 3 days at MIT... the robot hype is worse than you think

AI Agents, Clearly Explained

5 "BORING" Habits That Took Me From Broke to Millionaire

AI-First Playbook: Do a Team's Work With AI (2026) | Peter Yang

How I'd Learn AI From Scratch in 2026 (skip the useless 80%)

Vocabulaire et conseils d’expression pour cette leçon

Vocabulaire clé de cette vidéo

Les verbes à particule que vous entendrez

La grammaire de cette vidéo

Prononciation à surveiller

Comment s’entraîner avec cette vidéo

Qu'est-ce que la technique du Shadowing ?