تدريب Shadowing: Don't choose the wrong tech career in 2026 - تعلم التحدث بالإنجليزية مع YouTube

I have just spent hours of my life researching this topic for you.

⏸ متوقف مؤقتاً

السرعة:

262 جمل

إذا كانت الجمل قصيرة أو طويلة جدًا، انقر على Edit لتعديلها.

I have just spent hours of my life researching this topic for you.

Which are the best tech jobs you should look to get into in 2026?

And this is not a vibes-based video.

So I've done a lot of research

and looked at what is the data saying on which jobs are growing and which jobs are declining in tech.

And I've put it all into one list that you can watch in a video.

Because this is a big decision.

So maybe you work in tech already and you're looking to pivot into something.

Maybe you're a computer science student and you're looking at which careers to choose.

I'm going to go through each one.

I'm going to go through like AI proof ones,

the best paid ones, the most stable, which are growing.

So by the end of this video,

I guarantee you, you will have a clearer idea of which tech job or which tech career you want to choose.

Because I remember when I started,

I just found it so overwhelming,

all the different options in tech.

And now with AI, it's even like worse.

It's a big decision as well,

but what if I choose something that's gonna be automated in a few years?

Which are gonna be growing?

Which are gonna be paid well?

Which like suit my personality and what I want to do with my career?

So we're gonna go through all this by the end of

this video You should have a way better idea of

which area of tech is for you

and at the end of the video I'm gonna share the two best ways

that you will earn the most amount of money possible in your tech career There's two ways

so stick around for that get coffee Let's get stuck into it.

If you're new here.

My name is Andrew I'm a software engineer and digital nomad.

I got into tech in my 30s and now travel the world as a digital nomad coding apps,

making content and yeah sharing the journey with you guys what I've learned and what I'm building.

So if that sounds like your kind of vibe subscribe if you want.

One thing to be aware of is that roles in tech evolve

and the people who are like the smartest and the cleverest they adapt with it.

A great example is network and system engineers.

So this area was kind of being commoditized and the ones who saw

that you could actually shift into cloud computing you could basically ride the wave for what was replacing them

and these people made a load of money basically by adapting seeing an opportunity

and jumping on it so roles in tech will evolve the ones who earn the most

and they basically squeeze the most out of their career are the ones who adapt

and evolve with these changes and also a quick point on money

if you're a big driver to earn as much money as

possible a key focus should be the industry you work in

rather than the actual job for example you can work in cloud

and you could work for a charity or a non-for-profit

or like in the retail sector

if you instead focus on the industry like for example a big tech company an AI lab

or anything in AI fintech so working for a massive bank you're just going to earn

so much more no matter what job you do in the non-for-profit

or the charity sector you will learn way way more in those sectors.

So you wanna look at FinTech, AI or Big Tech.

Okay, job number one is AI and machine learning engineer.

If you are not sure about what you wanna do and if you like math and programming,

please just choose this.

This without doubt has the highest ceiling,

the highest barrier to entry but also like the biggest ceiling in terms of like opportunity

and earning potential in tech bar none you will have an incredible career

but the sacrifice is quite brutal barrier to entry you're looking

at a phd to get the real top jobs you're looking at a phd you're looking at real deep mathematical

and statistic knowledge and also the software engineering

so there's a lot going on here that you got to learn

but

so much opportunity we're reaching software 2.0 software one was writing

code for a program we make step by step software 2.0 is feeding a model loads of data

which outputs a program but yeah if you're on the fence

and you like math let me make the decision for you choose this okay next is software engineering

so i'm a software engineer i have a lot to say

about this i still recommend it as a job to get into in tech It is changing a lot though.

Basically, this is the job which AI is really focused on.

It's really zoomed in on at the moment.

I think in two years that handwriting code and even system design is just gonna be AI generated.

And the role of a software engineer is gonna be ideation within the business.

It's gonna be requirements of a product.

So you'll speak to the business,

you'll speak to stakeholders and they'll tell you what they want.

And your job is to like think about it and then look at what feature or app you wanna make.

So it's working with LLMs and validating the output.

But also product management

and I've talked about this in my newsletter where I see

the role of the software engineer moving more to the human side.

So yeah when I started in 2020 it was about how do you loop over an object in JavaScript.

Now it's going to be what is the business problem,

how do I turn that into a product,

how do I use LLMs,

how can I get the best out of an LLM so it outputs code.

It's also changing a lot in terms of the specialisms.

So let's take for example front-end development.

What What companies are looking for is people who are T-shaped developers.

So they're really good at one particular part of the stack.

For example, front-end.

But they also want people who are good at back-end and DevOps.

So a job which was a front-end developer a year ago is now just a developer job.

Now, I'm biased, but I think software engineering is one of the best jobs in the world.

At its worst, it can be frustrating because you don't know how things work.

At its best, you're being paid to solve problems, listen to music.

It's very chill.

100

And what you can do is learn on the job,

101

then try and build your own apps and become a founder.

102

Okay, so we talked about software engineering.

103

We talked about ML engineers.

104

Let's talk about one of the hottest jobs in tech right now.

105

That's an AI engineer.

106

And there's a bit of confusion about what they actually do.

107

So a software engineer will build the systems, the apps, the infrastructure.

108

A machine learning engineer will build and train the models.

109

The AI engineer, they take the models and turn them into real AI-powered products.

110

So they're basically the ones who make AI usable in production.

111

So if you want to work in AI,

112

but you don't actually like training the models,

113

which can be dry for a lot of people,

114

and also you don't want to go back to school,

115

and maybe you don't like the math,

116

but you want to see your products out there in the wild,

117

then this is a great mix between a software engineer and an ML engineer.

118

The AI bubble might pop,

119

but this job is going to grow so much,

120

and also it's a great option if you're a developer and you want a new challenge.

121

Okay, just a little pause.

122

If you're enjoying this content,

123

if you're learning anything, if you're getting value from it,

124

I would massively appreciate it if you just like the video.

125

It's completely free for you,

126

but it helps me out a ton.

127

And subscribe if you want.

128

Back to the video.

129

Next one is cybersecurity.

130

This is just, in this world of AI vibe-coded apps,

131

cybersecurity is going nowhere and it's very AI-proof.

132

But it's getting very difficult to get into

133

because I think what's happening is a lot of people who studied software engineering

134

or computer engineering are getting freaked out by AI and a lot of them are moving into cyber.

135

So it's harder now than it was two or three years ago,

136

but it's gonna get even harder.

137

The best option, which I would do,

138

is move into cloud security.

139

It's just lots of opportunity there.

140

And there's loads of different areas of cyber too.

141

There's like offensive stuff, so like ethical hacking,

142

which is just probably the coolest part of tech outside of programming.

143

Also, you've got defensive stuff.

144

And also there's more corporate ones like government and risk and compliance.

145

There's just loads of different parts of cyber.

146

It's AI proof, really great money.

147

But as I say, it's getting harder and harder to get into.

148

So if you're more interested in protecting things,

149

cybersecurity is a great option.

150

Okay, next one is product management.

151

And I think this is one of the biggest winners of the AI revolution.

152

And product management is like an outlier in tech because a lot of tech jobs,

153

they focus on basically solving a technical problem.

154

This is more like a lot of soft skills.

155

It's a lot of influencing.

156

It's a lot of managing different stakeholders,

157

working across different departments to turn a business idea into a feature or an app.

158

So a lot of it will be figuring out the how and the why of building software.

159

So you'll be working across lots of different teams.

160

The negatives of this job of product management,

161

I think it's just quite exhausting office politics, managing relationships.

162

Are you the type of person who would like enjoy that?

163

Lots of meetings, your calendar is gonna be full.

164

It doesn't pay as well also than usual engineering jobs,

165

but if you move into AI or data,

166

you'll be fine in terms of pay.

167

Some people love solving problems systems and music.

168

Some people love meetings, so it's whichever you like.

169

All right, the next one I recommend,

170

which is AI proof, great option for you,

171

is cloud computing or like cloud engineering.

172

This is probably like the most stable,

173

kind of like unsexy part of tech,

174

but it's just every company needs this and it is growing all the time.

175

And I think it's hard to describe what kind of person would suit cloud computing.

176

Maybe someone who's a bit OCD.

177

Maybe if you don't like building or you don't like the math side,

178

then this is a good option.

179

You're basically just ensuring these systems are reliable,

180

the infrastructure is good, and you're just going to focus on a few of the cloud providers like Azure and AWS,

181

go really deep and just learn everything about these platforms.

182

Very stable job.

183

This is going nowhere.

184

All right, as promised, at the start of the video,

185

I talked about the best ways to earn the most amount of money in tech.

186

And there's two ways.

187

Based on 99% of the people watching this video,

188

I assume you don't have a PhD from Stanford

189

and you're not going to go into like these research roles for like OpenAI.

190

I assume that's like most of my audience.

191

I'm talking to like the normal people who work in tech.

192

There are two ways to earn the most amount of money in tech.

193

Number one is people management,

194

and number two is sales.

195

All right, and this is how you become a people manager.

196

So you work in a field for like three to five years,

197

for example, cloud computing.

198

Get good at it, and then you just ask the company to take on more responsibility.

199

So ask for like managerial tasks.

200

You're not asking to get paid more,

201

you're just asking to take on more responsibility.

202

Then you basically just have to prove yourself that you can become a manager before you're a manager.

203

And if it's a good company, they'll promote you.

204

If it's a bad company,

205

just leave and then do the same at the next job.

206

Okay, and the next one is sales.

207

So if you're someone who's watching this and you're quite good at speaking,

208

you've got good communication skills,

209

good soft skills, and you're not quite enjoying the technical side of working in technology,

210

like you don't like building stuff,

211

you don't like coding or like hacking,

212

whatever, then I do think sales is just such a great option for you.

213

And it is probably the best paid area in tech if you do it well.

214

A lot of people think sales is like cold calling or like knocking on doors,

215

but sales, there's something called sales engineering,

216

which is a lot different.

217

For example, I went to IBM last year and I met a guy there who works in sales for IBM.

218

He studied quantum computing.

219

He has such a good technical knowledge that he just goes into meetings,

220

he meets clients and just gives them,

221

he just talks about the products of IBM and like their technology offering.

222

It's the kind of job where you're not working at 100% all the time,

223

but if you do one good presentation for 20 minutes,

224

you could make the company million.

225

It's a job where if you enjoy technology,

226

like talking about it, and you like reaching goals,

227

obviously financially, you're very money motivated.

228

I really do think sales is a great option for people.

229

It's a lot of it's dependent on the environment,

230

but if you get a good environment,

231

it's a great way to be in tech,

232

earn a load of money and still be talking and enjoying the technology space.

233

But a key part in all this is what's hot now

234

and what's trendy right now and what's not saturated might be different in five years time when you're in the career.

235

So I wouldn't focus so much on what's trendy or what's like hot right now and what has loads of vacancies.

236

The key thing really is what do you like?

237

What do you enjoy?

238

Like, are you creative?

239

Do you like designing things?

240

Well, like UX could be a good option.

241

Do you like security and protecting stuff?

242

Does that give you satisfaction?

243

Cyber security.

244

Do you like infrastructure and do you like seeing how things are reliable?

245

You want to keep things online?

246

Cloud.

247

Do you like math and experimenting?

248

Machine learning.

249

Do you like building things?

250

Are you quite logical?

251

Programming.

252

There's loads.

253

So this is a big thing in all this.

254

What is the work that you will enjoy spending 40 hours a week doing?

255

And then make sure there's a demand and just go for it.

256

All right, and that is it.

257

If you enjoyed this video,

258

I would massively appreciate it if you like it.

259

Subscribe if you like this kind of content.

260

Comment below what you're thinking of doing.

261

I'll try to respond to all the comments and I'll see you next video.

262

Happy coding, take care, bye-bye.

TRENDING

الأكثر شعبية

ما هي تقنية التظليل الصوتي؟

التظليل الصوتي (Shadowing) تقنية تعلم لغة مدعومة علمياً، طُورت أصلاً لتدريب المترجمين الفوريين المحترفين. الطريقة بسيطة لكنها قوية: تستمع لصوت إنجليزي أصلي وتكرره فوراً بصوت عالٍ — كظل يتبع المتحدث بتأخير 1-2 ثانية. تُظهر الأبحاث تحسناً كبيراً في دقة النطق والتنغيم والإيقاع وربط الأصوات والاستماع والطلاقة.

☕ اشترِ لنا قهوة

يظل ShadowingEnglish مجانيًا بنسبة 100% بفضل دعمكم. تكاليف الخوادم والذكاء الاصطناعي مرتفعة — قهوتكم تبقينا مستمرين! 🙏

التبرع عبر PayPal

ShadowingEnglish.com – تمرين التظليل الصوتي للإنجليزية

تحدث الإنجليزية بطلاقة باستخدام تقنية التظليل الصوتي. استمع لفيديوهات يوتيوب الأصلية، كرر جملة بجملة، وابنِ نطقاً حقيقياً وطلاقة — يستخدمها متعلمو IELTS حول العالم.

تدريب Shadowing: Don't choose the wrong tech career in 2026 - تعلم التحدث بالإنجليزية مع YouTube

الأكثر شعبية

السياق والخلفية

أهم 5 عبارات للتواصل اليومي

دليل خطوة بخطوة لطريقة تظليل الفيديو

ما هي تقنية التظليل الصوتي؟

تدريب Shadowing: Don't choose the wrong tech career in 2026 - تعلم التحدث بالإنجليزية مع YouTube

تنزيل التطبيق

السياق والخلفية

أهم 5 عبارات للتواصل اليومي

دليل خطوة بخطوة لطريقة تظليل الفيديو

ما هي تقنية التظليل الصوتي؟