Pratique du Shadowing: 3 Ways AI Will Completely Change Your Life by 2029 - Apprendre l'anglais à l'oral avec la vidéo
Choisissez un mode d'entraînement
Chaque mode ouvre une salle d'entraînement en plein écran.
130 phrases
Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.
1
Look around us right now in 2026.
2
Artificial intelligence is growing faster than ever before.
3
Every single month, a new AI model comes out.
4
Every week, there's a new feature like making real -looking videos, writing tough computer code, or speaking in perfect human voices.
5
Because things are moving so fast, people mostly think the future of AI will just keep going up in a straight line.
6
They think AI will always get bigger, faster, and smarter every single day.
7
But if you ask computer engineers, scientists and electricity experts, they will tell you something very different.
8
The future of AI is not a straight line.
9
Between now and 2029, our world is standing at a giant turning point.
10
Depending on how tech, electricity, power grids and human laws clash with each other, our future could go in three totally different directions.
11
Now, before we look at how your daily life will change, here are the three big outcomes we are heading towards.
12
Outcome 1 will be the super leap, where AI solves huge software and medical problems, doing full jobs all by itself like a digital worker.
13
Outcome 2 will be the power wall, where AI runs out of physical electricity and computer parts,
14
forcing the whole tech industry to slow down and rebuild.
15
And outcome 3 is going to be the trust break, where making fake videos and audio become so cheap and easy that the internet breaks,
16
changing our security jobs and laws forever.
17
In each of these situations, the job market and the global economy will change in very different ways.
18
Let's step into each of these three worlds so you can see what your life and career will actually look by 2029.
19
Let's start with outcome 1, the super leap.
20
This is the positive future where computer scientists fix all the AI's main problems very fast.
21
In 2027, the way we use computer changes forever.
22
Right now, you sit down and type questions into the chat box and the AI gives you the answer.
23
But in the future, the chat box goes away.
24
Instead, we use agent teams, groups of AI tools that work together nonstop.
25
Like imagine you want to start a business.
26
You do not write the code or build the website yourself.
27
You simply tell an AI build a full food delivery app, add a payment system, test it for security bugs and launch it.
28
The main AI breaks this big task into 20 smaller jobs.
29
One AI writes the code, another designs the screen, another checks for error and another fixes the bug.
30
You go to sleep.
31
And when you wake up in the morning, your full software product is built and live on the internet.
32
By 2028, this massive computer power leaves the screen and enters the real world.
33
In science, finding a new life -saving medicine used to take 10 to 15 years of hard lab work.
34
Under the super leap, AI can test millions of chemicals, mix on a computer every single minute.
35
Scientists can see how chemicals react before even touching a real glass test tube.
36
This gives us new medicines and better materials for solar panels in just months instead of decades.
37
And by 2029, AI is all around you, invisible and smooth.
38
You might wear light smart glasses or simple wireless earbuds.
39
The AI listens to what you hear and sees what you see.
40
It remembers every meeting you ever had, reminds you of a person's name when you forgot, warns you about your health before you feel sick,
41
and manages your daily schedule.
42
So in this big leap, this can be the world in next three years.
43
In this world, the job market shifts from doing the work to managing the work.
44
Companies no longer hire 10 junior software developers or designers.
45
Instead, they hire one single AI director who manages a team of AI workers.
46
We can see people building billion -dollar companies all by themselves.
47
The world economy grows super fast because making digital thing cost almost zero.
48
But there is a big risk.
49
If a major AI internet network goes offline, all global businesses stop instantly.
50
Now let's look at outcome 2, the power wall.
51
What happens if AI development slows down?
52
Not because the software is bad, but because we ran out of physical electricity.
53
Right now, running giant AI system takes a massive amount of electricity.
54
Data centers filled with thousands of computer chips use as much power as a small country.
55
So now let's see the next three years in this era.
56
By 2027, tech companies hit a physical wall.
57
To build the next big AI model, companies need huge amount of power.
58
But local electricity grids cannot give that much amount of power without causing blackout for normal homes.
59
At the same time, factories cannot make advanced chips fast enough and data centers run out of water to cool their machines.
60
The fast release of huge new AI suddenly stops.
61
And by 2028, businesses fall into what experts call it the 80 -20 trap.
62
Company realize that while AI can do 80 % of the job very fast, getting that final 20 % perfectly right without mistake is extremely hard.
63
So for reference, if an AI writes an article, a human still has to check it.
64
If an AI handles legal papers or medical records, a human expert must carefully read every single line to prevent dangerous mistakes.
65
Because hiring human experts to check AI work is costly, companies realize AI does not save as much money as they originally thought.
66
And by 2029, the entire tech industry changes its goal.
67
Companies give up on building giant expensive AI systems that eat massive amount of electricity.
68
Instead, they focus on making things highly efficient.
69
They make tiny super fast AI models that run directly on your mobile phones or laptop without needing an internet connection.
70
In this world, AI stop feeling like the world -changing science fiction movie and become a simple, helpful daily tool just like electricity or Wi -Fi.
71
And what about the job market and economy in this world?
72
Experienced human professionals become more valuable than ever because AI cannot be trusted 100%.
73
Jobs for skilled humans, checkers, senior engineers, lawyers, and healthcare workers are very safe and high -paying.
74
The economic boom moves away from pure software and shifts into physical industries, electricity grades, nuclear energy, chip making, and green power.
75
The economy grows at a normal steady pace and businesses use a balanced mix of human experts and local AI tools.
76
Finally, we have outcome 3, the trust break.
77
What happens if AI moves faster than human society laws and security just can't handle it?
78
To understand why this scenario is so real, just look at what is happening right now, today.
79
Criminals are using short audio clips from social media to copy people's voices in just three seconds.
80
In this real world scammers have used fake video calls of
81
company bosses to trick employees into sending millions of dollars like there were many news around i've seen
82
so what will happen if this continues
83
and what will be the world in three years
84
so by 2027 making super real fake videos fake voice calls
85
and fake photo cost almost zero money anyone with a basic computer can download free AI tools
86
and make a real looking video of anyone on earth saying or doing anything.
87
When fake content becomes that cheap and instant, the internet faces a crisis called the dead internet.
88
You can no longer trust a video or social media, a news report, or even a phone call from a friend or family member.
89
Scammers use automated voice bots to call thousands of people at once, copying their relatives' voices to ask for emergency money.
90
Now, because trust is broken, governments are forced to pass strict new laws.
91
Like by 2027, every camera, phone, or news agency must use secure digital stamps inside their devices.
92
This is to prove that the video or photo was taken by a real camera lens and was not made by AI.
93
And by 2028, office jobs face huge problems.
94
Simple starting jobs like basic data entry, basic computer coding, customer service chats and filing papers are taken over by AI very quickly.
95
Colleges and governments training programs struggle to train millions of young workers fast enough.
96
This creates a big gap between old -style workers and people who know how to manage AI tools.
97
And by 2029, countries enter an AI cold war.
98
Government decides that advanced AI models are dangerous national security tools.
99
The United States, Europe, and Asia put strict bans on sharing advanced chips, computer hardware, and code.
100
Instead of one open global internet, the digital world splits into closed, heavily guarded national networks.
101
Now, obviously, in this era, we have to talk about the job market and economy as well.
102
The job market sees a massive shake -up, like entry -level office jobs disappear rapidly,
103
making it hard for fresh college graduates to start traditional corporate careers.
104
But at the same time, new high -demand jobs open up, like cybersecurity security expert, digital fraud checker, hardware tester, and identity protection agent,
105
the world economy becomes heavily protected by national borders.
106
Taxes on tech items will rise initially
107
and businesses have to spend billions of dollars on security and legal approval just to run safely.
108
So now you know all the three outcomes.
109
But the question is which of these three outcomes will actually happen by 2029?
110
The truth is, the real future will not be 100 % of just one timeline.
111
Instead, our world will be a mix of all three.
112
We will experience the amazing scientific and medical breakthroughs from the super leap that was the first world we created,
113
the real world electricity problem from the second world that was the power wall,
114
and the digital security challenges from the third world that was the trust break.
115
And no matter which outcome takes the lead, two things are clear.
116
Your job will require managing AI, not just competing with it.
117
Real economic values will belong to people who can solve real world problems and check if information is actually legitimate.
118
And if I talk about the main lesson, it's simple.
119
Tech itself is neutral.
120
But how we prepare for it makes all the difference.
121
The people who succeed in 2029 will not be the ones who ignore AI
122
and they won't be the ones who blindly trust everything they see on the screen.
123
The winners will be the people who learn how to manage AI tools,
124
check real information, and adapt as the world changes because adaptation is the biggest thing.
125
Now according to you which outcome do you think is most likely to happen over the next three years?
126
Are we heading for the super leap, the power wall or the trust break?
127
Drop your thoughts in the comment below, hit the like button if you enjoy the breakdown and subscribe
128
so you don't miss out next deep dive into the future of technology.
129
So this is Akash Fiyas, you are watching Sharian CI School.
130
Till then, bye -bye.
Télécharger l'application
Tout pour parler couramment
Prononciation IAChaque phrase notée
Phonétique (IPA)Maîtrisez chaque son
VocabulaireEnrichissez votre lexique
Jeu de vocabulaireApprenez en jouant
FOR YOU
Vidéo recommandée
C12
70 phrases
A Practical Guide To Becoming An AI Engineer (2026)
Daily ConversationUniversity StudentsWorking Adults
C114
20 phrases
Alexandr Wang on what matters in an age of abundant intelligence
Daily ConversationUniversity StudentsWorking Adults
C11
198 phrases
Jack Dorsey’s New Dessa AI Voice Sounds Scary Human
Daily ConversationUniversity StudentsWorking Adults
B210
28 phrases
How Technology Will Change the Way We Live | English Listening Practice (B1–B2)
Daily ConversationUniversity StudentsWorking Adults
C11
97 phrases
Silvan Bennett-Schar explains the threat posed by AI to jobs, democracy & social cohesion (5/8)
Daily ConversationUniversity Students
C18
75 phrases
What AI can (and can't) currently do in a real lab | Jennifer Doudna
Daily ConversationUniversity StudentsWorking Adults
C13
457 phrases
MIT Explains the 12 Possible Endings for AI
Business EnglishDaily ConversationUniversity Students
C12
74 phrases
How AI is helping brands identify consumer trends faster
Daily ConversationUniversity StudentsWorking Adults
C11
63 phrases
What Is AI? | Artificial Intelligence | What is Artificial Intelligence? | AI In 5 Mins |Simplilearn
Daily ConversationUniversity Students
C12
122 phrases
The Rise of the Machines – Why Automation is Different this Time
Daily ConversationUniversity StudentsWorking Adults
C13
85 phrases
AI Will End Philosophy, Physicist Claims
Daily ConversationUniversity StudentsWorking Adults
C12
171 phrases
Why the Arab World never united
Daily ConversationUniversity StudentsWorking Adults
Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « 3 Ways AI Will Completely Change Your Life by 2029 ». Les mots qui reviennent le plus souvent : outcome, computer, electricity, super, fast. Cette vidéo contient 130 phrases et 1839 mots à répéter en shadowing. La partie parlée dure 10:26. Le locuteur parle à un rythme naturel d’environ 176 mots par minute, proche d’une conversation courante. 85 % 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
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| leap verbe | /ˈliːp/ | sauter, bondir |
| chip nom | /t͡ʃɪp/ | brisure, fragment |
| hire verbe | /ˈhaɪɹ/ | louer |
| scientist nom | /ˈsaɪəntəst/ | scientifique, savant |
| audio adjectif | /ˈɔ.di.oʊ/ | audio |
| solve verbe | /sɒlv/ | résoudre, régler |
| hardware nom | /ˈhɑɹdˌwɛɹ/ | équipement |
| grid nom | /ɡɹɪd/ | grille |
| ignore verbe | /ɪɡˈnɔː/ | ignorer, ne pas prêter attention à |
| relative nom | /ˈɹɛl.ə.tɪv/ | parent |
| trick nom | /ˈtɹɪk/ | tour |
| lesson nom | /ˈlɛs.ən/ | leçon |
| carefully adverbe | /ˈkɛɹf(ə)li/ | soigneusement |
| fiction nom | /ˈfɪkʃən/ | fiction, belles-lettres |
| helpful adjectif | /ˈhɛlp.fl̩/ | utile, serviable |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| slow down verbe | ralentir, décélérer | |
| come out verbe | /ˌkʌm ˈaʊt/ | sortir |
| go away verbe | partir, s'en aller | |
| look around verbe | regarder autour de soi | |
| miss out verbe | manquer, perdre | |
| open up verbe | ouvrir | |
| sit down verbe | s'asseoir | |
| take over verbe | reprendre |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | is built · cannot be trusted · is broken |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | people who know · people who can · people who succeed |
Prononciation à surveiller
Le locuteur utilise 4 contractions et formes réduites, comme can't, don't, I've. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: smooth /smuːð/, breakthrough /ˈbɹeɪk.θɹuː/
- Les sons « sh » et « zh »: fiction /ˈfɪkʃən/, efficient /ɪˈfɪʃənt/, shake /ˈʃeɪk/, artificial /ˌɑː.tɪˈfɪʃ.əl/, adaptation /ˌæd.æpˈteɪ.ʃən/
- Mots longs — placez bien l’accent: electricity /ɪˌlɛkˈtɹɪsɪti/, artificial /ˌɑː.tɪˈfɪʃ.əl/, legitimate /lɪˈd͡ʒɪt.ɪ.mət/, developer /dɪˈvɛləpɚ/, invisible /ɪnˈvɪzəb(ə)l/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: hire /ˈhaɪɹ/, hardware /ˈhɑɹdˌwɛɹ/, helpful /ˈhɛlp.fl̩/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: chip /t͡ʃɪp/, legitimate /lɪˈd͡ʒɪt.ɪ.mət/, checker /ˈt͡ʃɛkɚ/
- /r/ anglais — langue recourbée, sans frotter la gorge: electricity /ɪˌlɛkˈtɹɪsɪti/, hire /ˈhaɪɹ/, hardware /ˈhɑɹdˌwɛɹ/, strict /stɹɪkt/, grid /ɡɹɪd/
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 leap, chip, hire.
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.