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Tech Trends 2026: Global Job Market, US/China/Gulf/Europe Divide, AI Theme of the Year

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Tech Trends 2026: Global Job Market, US/China/Gulf/Europe Divide, AI Theme of the Year

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556 segments

0:00

Hey guys, it's the last month of the

0:02

year and our last video of 2025. It's

0:04

been one hell of a year and for tech

0:07

some things were exciting, some maybe

0:09

not so much, but what a time to be

0:11

alive. So, in our last video of this

0:13

year, I want to look ahead and see

0:15

what's around the corner. So, have a

0:16

seat, grab a cup of tea. We'll be

0:18

talking about all things global. Global

0:21

job market, geopolitical influence on

0:23

the tech industry, the new buzzwords of

0:25

the next year, and the AI theme of 2026.

0:28

Before we dive in, a quick announcement.

0:31

Our channel is turning one in a few

0:33

days, and we will be releasing our

0:35

Christmas special about what's going on

0:37

behind the scenes. If you're curious to

0:39

know what it takes to run a YouTube

0:40

channel while having a full-time job,

0:42

how much it costs, what the production

0:44

process looks like, and how my life has

0:46

changed over the past year, feel free to

0:48

subscribe and get a reminder so that you

0:50

don't miss it. And now, for the last

0:52

time this year, let's dive in.

0:57

So what's happening with the job market

0:59

after 3 years of unbelievable turbulence

1:02

globally? We are not trending towards

1:05

prepandemic. We are nowhere near back to

1:08

2021. The layoffs are still very much

1:10

elevated. The demand is concentrated in

1:13

pockets and if there are any rebounds,

1:16

they're happening in sector specific and

1:19

skillspecific industries. I remember how

1:21

in late 2024, early 25, there were a lot

1:25

of talks from very reputable media

1:28

resources that I have been following for

1:29

many years and they were saying that a

1:32

new wave of opportunities is just around

1:34

the corner. That the market is picking

1:36

up and that we'll be seeing an ocean of

1:38

opportunities. They're coming any day

1:40

now. But now going back, I'm realizing

1:42

that a lot of it was coming from career

1:44

coaches and people who sell the idea of

1:48

getting a job in any market and in any

1:50

economy. I remember being skeptical even

1:52

back then because on the ground it did

1:55

not feel like anything was picking up.

1:56

It definitely wasn't disastrous, but I

1:59

cannot say that I noticed any

2:00

significant changes or improvements. The

2:02

only thing that was kind of noticeable

2:04

is that the mass layoffs were not as

2:06

common. So now it's a good time to kind

2:09

of look back and think about it in

2:11

retrospect and see whether those

2:13

predictions actually came true. So I

2:16

looked up some data. Tech layoffs in

2:17

2025 matched or even slightly exceeded

2:22

2024 levels. The reason I'm saying they

2:24

matched or exceeded is because there is

2:26

a slight variation in terms of data

2:28

depending on which source you're looking

2:30

at. But what I can say with certainty is

2:32

that they're definitely not lower. On

2:35

the positive side, there are definitely

2:36

better than the 2023 peak. So, let's go

2:39

region by region and study the trends

2:41

across the world. Starting with the

2:43

United States, the theme of the 2026 job

2:45

market in the US is the hollow middle.

2:48

The biggest trend of 2025 that will

2:50

continue into the next year is replacing

2:53

highcost local headcount with nearshore

2:56

labor. And for obvious reasons for the

2:58

United States, the nearshoring happens

3:00

in Latin America. What US is seeing is

3:02

the barbell effect. They're cutting a

3:05

lot of middle management based in the

3:08

US. But on the other hand, the money

3:10

being offered for principal architects,

3:13

staff engineers, group PMs, or any kind

3:16

of principal role is sometimes beyond

3:19

reasonable. And I'm saying this as a PM.

3:22

And then the entry-level market is often

3:23

just outsourced to Mexico or Brazil. So,

3:26

actually, let me take it back. Maybe

3:28

it's not a barbell after all. It's more

3:30

of a kettle bell so to say. What we're

3:32

seeing is that even for product

3:35

engineering or R&D talent, the senior

3:37

roles that tend to stay inhouse are the

3:40

ones that are tied to strategy and

3:41

business. Something that would be really

3:44

difficult to outsource because there is

3:46

a lot of business and market context

3:49

that you understand when you live in

3:51

that market as well as the cultural

3:53

nuance that you just can't teach over

3:55

Zoom. The point I'm trying to make is

3:57

that for a senior level engineer, for

3:58

example, coding is not enough. Unless

4:01

you're tied to business and strategic

4:04

decisions, you can very much be replaced

4:06

by an engineer in Colombia with the same

4:08

skill level in the same time zone.

4:10

Moving on to Canada.

4:14

No matter what you do for a living, be

4:16

it coding, product, marketing, or HR, at

4:19

some point you get to experience the

4:21

beautiful world of documentation. And as

4:24

a PM, I have to write feature specs

4:26

every single month. The problem is

4:28

people don't like reading feature specs

4:29

and the work of the whole team sometimes

4:31

goes unseen because it's a lot easier to

4:33

see what was built, not read three pages

4:36

of text. So I thought, why don't I build

4:39

an app that will turn my feature specs

4:41

into beautiful landing pages, so neither

4:43

myself nor my customers have to suffer

4:46

and people will actually be excited

4:48

about what my team has built. Let's do

4:49

it together right now. Watch me do it in

4:52

a minute. I'm opening UWare and just

4:54

describing what I want. Build a feature

4:56

spec visualizer for product managers to

4:59

convert feature specs into a landing

5:01

page for a new product feature. Adding

5:03

some details here around the specs

5:05

around the wireframe and how I want this

5:07

to look like. And finishing it off with

5:09

a CTA. Let's call it, I don't know, for

5:12

example, visualize. And create the page.

5:14

And my laptop dies now because it needs

5:17

a Christmas break. Not a problem. I'm

5:19

going to move to my phone and continue

5:20

from there. All right, let's test it.

5:22

The feature that I'm launching is

5:24

advanced search filters. The users can

5:26

now filter search results by date range,

5:28

category, and custom tags. All of this

5:30

makes finding specific content 10 times

5:32

faster.

5:34

Okay, that's actually sick. It just

5:36

turned my feature spec into a landing

5:38

page for my feature. Let's try another

5:40

one. I am launching a dark mode toggle.

5:42

Users can now switch between light and

5:44

dark themes in settings. It is located

5:46

under preferences and then appearance.

5:48

And it reduces the ice strain and saves

5:50

battery on mobile devices.

5:53

And now instead of making my customers

5:55

read pages and pages of text, they can

5:58

actually see what's new and what was

6:00

built. And I can publish and share this

6:02

instantly. I don't need to worry about

6:04

hosting, deployment, or setup. And the

6:06

best part is that all of it was built in

6:07

minutes. Try UWare yourself. Link is in

6:10

the description. Turn your ideas into

6:12

apps without writing a single line of

6:14

code. Huge thanks to UWare for

6:16

sponsoring this section.

6:20

The theme of the 2026 job market in

6:23

Canada is going to be nearshoring plus

6:25

selective hiring. In Canada, the number

6:27

of people currently with jobs is

6:29

actually flat or slightly up. What this

6:32

means is that the crisis is entirely on

6:34

the hiring side. If you have a job,

6:37

you're most likely safe. Not guaranteed,

6:39

but most likely. But if you're looking,

6:42

it's pretty tough out there. postings

6:44

for senior roles are slightly up and the

6:47

junior roles are down 25%. And this

6:50

tracks with the trend around expertton

6:53

market. So back to those predictions

6:55

from earlier this year. Yes, there are

6:57

opportunities and hiring is happening

6:59

but the hiring is happening for highly

7:01

critical and very senior positions.

7:03

Canada just like the US is also

7:05

experiencing nearshoring and offshoring

7:07

trend for a huge number of roles. Even

7:10

among the people that I personally know,

7:12

I can count quite a few who got laid off

7:14

because their entire departments were

7:16

moved to a cheaper location. From what

7:18

the data is telling and from my personal

7:20

experience, the roles that are being

7:21

kept inhouse are tightly coupled to

7:24

decision making and core architecture

7:26

rules whereas execution is often pushed

7:29

offshore. Moving on to Europe. Europe is

7:32

going through a very interesting time

7:34

because they are essentially at risk of

7:37

losing their manufacturing base. In

7:39

general, the European Union is deeply

7:41

concerned about deindustrialization

7:44

going into the next year. Germany has

7:46

lost a quarter million industrial jobs

7:48

in the past few years and this bleeding

7:50

will accelerate in 2026. The automotive

7:53

sector which is the spine of the German

7:55

economy is first of all not doing well

7:57

and secondly under a threefront assault.

8:01

The Chinese are undercutting on price.

8:03

The full shift to electric is much more

8:06

expensive and difficult to execute than

8:08

it seemed and is currently unaffordable

8:10

to be honest. Plus don't forget about

8:12

the energy crisis and Sweden's bet on

8:14

being the country of green tech was a

8:16

pretty bad miscalculation as well.

8:18

They're now reversing course after

8:20

colossal bankruptcies of the green tech

8:22

giants and mass layoffs in the

8:23

industrial sector. On the flip side,

8:25

even though general software hiring is

8:27

stagnant because of the manufacturing

8:29

recession, there is a massive demand for

8:31

roles around AI sovereignty and

8:33

regulation. I will speak about this in

8:35

detail in a few minutes, but the demand

8:37

for cloud architects with EU specific

8:39

compliance certifications and data

8:42

guardians has spiked almost 50% as

8:45

Europe is gearing up for something

8:47

called the Euro stack. Again, more on

8:49

Euro stack in a couple minutes. And now

8:51

the Gulf and specifically the UAE and

8:53

Saudi Arabia. The Gulf states are

8:55

actively promoting the nationalization

8:57

pivot and they're pushing for Saudis and

9:00

emiratization in their attack rules.

9:02

Unlike in mid to late 2010s, you can't

9:05

just move to the UEE or Saudi Arabia as

9:08

a mid-level PM or an engineer without a

9:10

specific domain knowledge because they

9:12

have enough foreign talent already. The

9:14

roles are there, but they now require

9:16

specialized local knowledge or Arabic

9:19

fluency, which by the way, in my humble

9:22

opinion, I do think that local languages

9:24

should be prioritized. No matter how

9:26

international the market is, no matter

9:28

how many expats they have, I am of the

9:30

opinion that the countries should be

9:32

prioritizing local languages over

9:34

English. So in my view, it's expected,

9:36

not surprised. I understand why they do

9:38

it. The Gulf is going through the same

9:40

situation as the US and Canada where

9:42

cuts disproportionately hit the middle

9:45

layer, middle management, operations,

9:46

and execution rules while AI, cloud,

9:50

cyber security remain fairly protected.

9:52

At the beginning of the year, I made a

9:54

video about 2025 tech trends. And one of

9:57

the biggest ones that I highlighted was

9:58

the rise of individual contributors. And

10:00

now that we're approaching the end of

10:02

the year, I stand by what I said. The

10:04

biggest leverage in today's job market

10:06

are hard skills and domain expertise,

10:08

which makes one an elite level

10:10

individual contributor. Now, if you're

10:12

curious why I'm not covering China or

10:14

Asia as much, it is only because I have

10:16

never lived or worked in those regions.

10:18

I simply don't have the same cultural

10:20

context and contextual knowledge of the

10:23

Asian market, which is why I prefer to

10:24

stay in my lane for now at least. So, a

10:27

quick verdict. Was 2025 better than 24

10:29

across the globe in the context of tech

10:31

employment? No. For an average worker,

10:34

it was arguably worse. The whole job

10:37

hopping every 2 years is a thing of the

10:39

past. Quit rates have plummeted and the

10:41

market is quite frozen unless you are in

10:43

a highly specialized role. As of today

10:46

and as we're moving into 2026, being a

10:48

highly skilled individual contributor

10:50

pays off more than being a middle

10:53

manager. The trend of 2026 is to accept

10:56

the reality of distributed teams. I

10:58

personally think that we're going to

10:59

stop using the word offshoring or

11:01

nearshoring in the near future. The

11:03

satellite offices become the norm. The

11:05

market will not recover to 2021 levels.

11:08

Do not expect that. It's not going to

11:10

happen in the near future. We are

11:11

entering a multi-year period of job

11:14

market compression, which means fewer

11:16

jobs, much higher barrier to entry and a

11:19

focus on ROI. And if you are an average

11:21

worker without specific hard skills or

11:24

industry expertise, my recommendation

11:26

would be to specialize as soon as you

11:28

possibly can. Remember, these days

11:31

narrow is the moat, whether you're

11:34

building a business or a career. Moving

11:36

on to my favorite topic, tech and

11:38

geopolitics.

11:41

While the US and China fight over chip

11:43

supremacy, the rest of the world is

11:45

fighting to own the infrastructure so

11:48

they don't become digital colonies of

11:50

either US or China. Why is

11:53

infrastructure and data sovereignty so

11:56

important? Let me give you an example.

11:58

Imagine there is an AI company in

12:00

Singapore that is building a very

12:02

powerful AI model and it works great

12:05

until they try and sell it to a

12:07

different country. It gets blocked by

12:08

Singapore's data residency law because

12:10

the model was trained on servers in

12:12

Virginia. It gets shut down in the EU

12:14

because it doesn't comply with the

12:16

European AI act and it can't operate in

12:18

China because well, China. So the

12:21

startup realizes we can't go global. And

12:24

this is why the Saudis building those

12:27

data centers and NEOM aren't doing it

12:30

just to run GBT faster. They're building

12:32

it to say, "You want to sell AI to my

12:35

people? You come to my server, you come

12:37

to my law with my rules, and you pay

12:39

me." This framing defines the next era

12:43

of geopolitics in tech and the rise of

12:46

the third AI power center. The swing

12:49

states of tech, bricks, UAE, Saudi

12:52

Arabia are refusing to be just users of

12:55

US and Chinese tech. They're building

12:57

their own third stack to protect

13:00

themselves from a situation where the US

13:02

says, "I'm putting a 100,000 sanctions

13:04

on you. And unless you do as I say,

13:06

we'll cut you off from the rest of the

13:08

world." China doesn't have this problem.

13:10

China is a superpower and they invest

13:13

heavily in building domestic AI with

13:16

their own chips and their own cloud. So,

13:18

we got the US, we got China, we got

13:20

Europe. So, what are we left with? Well,

13:23

just about the entire half of the

13:25

planet, the global south, give or take.

13:27

But treating the countries that are in

13:29

the global south as one unified entity

13:31

is a big mistake. They're very

13:34

different. India produces about 20% of

13:36

the world's data, but only holds 3% of

13:40

global data center capacity. India is

13:42

datarich, but infrastructure poor. Latin

13:45

America is in a very similar situation,

13:47

but Saudi Arabia and the UAE are

13:49

actively recovering from the Dutch

13:52

disease. So instead of buying chips,

13:54

renting models, and simply relying on

13:56

US, China or Europe, they're signing

13:58

contracts with all three to build the

14:00

relationship. And they're building the

14:02

entire supply chain on their own ground.

14:05

The way I see it is that the global

14:08

south is splitting into two camps. Camp

14:11

one being the Gulf and specifically the

14:13

UEE and Saudi Arabia. These are the only

14:17

non-western powers that have the capital

14:20

to buy their way out of dependency. The

14:24

UAE and Saudi are capital rich

14:26

infrastructure hungry. They can't match

14:29

India or Latin American population, but

14:31

they can build gigantic physical data

14:34

centers. They're the only ones who can

14:36

write a hundred billion dollar check to

14:38

OpenAI or Nvidia and force the transfer

14:41

of technology to the region. And camp

14:44

number two, the data colonies, India,

14:46

Brazil, and Indonesia. These nations are

14:49

very rich in data but poor in

14:52

infrastructure. Like I said, India

14:54

generates about 20% of the entire

14:56

world's data, but they only have 3% of

14:59

global data center capacity. India

15:00

exports data, its most valuable asset to

15:03

the US servers. There it gets refined

15:06

into intelligence or models and sold

15:09

back to India as a subscription service.

15:12

This is a tech equivalent of the cotton

15:15

trade. Sell cotton cheap and buy

15:17

expensive shirts. Brazil and Indonesia

15:19

are facing a very similar story. Massive

15:22

user bases, massive population, good

15:24

talent, but their tech infrastructure

15:26

runs on Amazon and Microsoft clouds. If

15:29

the US turns off the tap, the tech

15:31

economy goes dark. So this was the

15:33

global south. And finally, Europe.

15:36

Europe's problem is that on top of

15:38

losing ground in the manufacturing

15:40

realm, they got to do something about

15:42

data, and they better do it sooner

15:44

rather than later. Europe owns only 4%

15:48

of global cloud capacity. Every bite of

15:50

European data, every AI model trained on

15:53

it, every service delivered to a

15:55

European, all of it runs on US servers.

15:58

So the European government was thinking

16:00

and was like, "Okay, let's fight back."

16:02

So they're launching a moonshot project

16:04

called Euro Stack, which is a European

16:07

cloud built on European servers and

16:09

under the European law. Euroack is not a

16:11

single company. It's a policy. And the

16:13

plan is to glue together European tech

16:16

assets into one usable stack. It

16:19

includes European chips, European

16:20

operating system, European AI models

16:23

like Mistral and a jurisdictional gate

16:25

to protect Europe from foreign laws like

16:28

the US cloud act. Europe's biggest

16:30

problem right now is fragmentation. If

16:33

you think about the US, they have three

16:36

centralized giants, AWS, Azure, and

16:39

Google. Europe at the same time has 27

16:42

different strategies, a dozen startups,

16:45

fantastic startups especially in Sweden

16:47

and a European committee. So for Europe,

16:50

2026 is about bringing all of this

16:53

together and making it the year of Euro

16:56

stack so they can become defensible.

16:58

Moving on to business trends of 2026,

17:02

the rise of NeoClouds and regional

17:05

stacks. So we spoke about the country

17:07

level. Now, let's zoom into the market

17:10

level. Imagine you're moving from

17:12

building A to building B. Both buildings

17:14

are on the same street. You get a

17:15

U-Haul, and U-Haul gives you a massive

17:17

truck, a massive 26- ft truck with

17:20

hydraulic lift, climate control, and

17:22

GPS. But you're moving a one-bedroom

17:24

condo on the same street, but you're

17:26

paying for the whole truck. But U-Haul

17:28

is the only game in town, so you don't

17:30

have a choice. In 2025, AWS and Google

17:33

became that U-Haul truck. A startup

17:36

training an AI model pays for compute

17:39

plus storage plus database licensing

17:42

plus data transfer plus billing

17:44

complexity that they simply do not need

17:46

at that scale. And then Coreweave and

17:49

Nebus the Neoclouds step in and they say

17:53

we're not U-Haul. We will sell you just

17:55

as much as you need and for 30% less.

17:58

And what the Neocloud business is doing

18:00

is that it makes compute costs cheaper.

18:03

And when compute costs become cheap, the

18:05

entire structure of tech inverts because

18:08

suddenly a startup with a $2 million

18:11

funding can train a world-class model

18:14

and the barrier to entry falls.

18:16

Neoclouds are in the newest form of tech

18:18

business with an extremely high leverage

18:21

that keeps rising across Europe, the

18:23

Gulf, and Latin America, which means

18:26

that we're heading towards a trend of

18:28

decentralization.

18:30

Where does this leave us as we enter

18:32

2026? The geopolitical situation of the

18:35

past 5 years as well as the pandemic

18:37

deeply affected the tech industry. And

18:40

if this isn't giving you the cold war

18:42

vibes, I don't know how else to call it

18:44

because we see this race unfolding right

18:46

in front of us. And the race is for the

18:49

AI infrastructure and data sovereignty.

18:51

China showed an example of how one can

18:54

survive and thrive even when you're cut

18:56

off from the rest of the world. American

18:58

hyperscalers are actively investing in

19:00

metal in chips because neocloud model is

19:03

undermining their business model and

19:06

their ability to control. The south is

19:08

looking up and goes you guys have fun

19:11

over there but we got the population and

19:13

we got the land. So if you want our data

19:16

and our users you come to us you open

19:19

your offices here and you pay us. And

19:21

last but not least let's move to the AI

19:24

theme of 2026.

19:28

2023 was about knowledge and chats. 25

19:31

was about action and agents that could

19:34

do something with that knowledge and in

19:36

those chats. 26 is going to be about

19:39

physics. The theme of 2026 will be

19:42

physical AI. I've spoken about this at

19:44

length and if you're interested, I

19:46

recommend that you explore reputable

19:47

research papers because it becomes

19:49

pretty obvious that the LLM project has

19:52

reached the plateau of productivity. We

19:54

have hit the physical limits that

19:56

prevent us from achieving further

19:58

massive leaps. So instead of building

20:01

the next LLM, we're finally entering the

20:04

era of execution and putting existing AI

20:07

to use. In 2026, AI will start becoming

20:11

ubiquitous. We will be seeing it

20:12

everywhere in kitchen appliances built

20:14

into new devices. It will be in the

20:17

cameras at factories and plants. Your

20:19

power grid is about to get intelligent

20:21

or smart. Your government IDs will

20:23

likely be linked to AI agents that file

20:25

your taxes. All in all, we're about to

20:27

enter the first year of hardware AI.

20:30

This means that if you work in

20:32

manufacturing, logistics, energy,

20:34

healthcare, appliance production,

20:36

mining, the most labor intensive

20:39

industries on Earth, this is your year.

20:42

You will be seeing a lot of pilot

20:43

programs, new buzzwords such as spatial

20:46

computing, and large world models. In a

20:48

nutshell, in 2026, artificial

20:50

intelligence leaves the browser and

20:52

enters the physical world. Conclusion,

20:57

there is no going back to 2021. Not for

21:00

jobs, not for tech, not for geopolitics.

21:02

We're building new walls. We're building

21:04

new clouds. Nations are trying to

21:06

protect themselves from a big power

21:08

turning off the switch. But despite the

21:10

setbacks that this creates, I am low-key

21:12

glad because I think that we will be

21:14

seeing a much stronger diversification

21:17

across tech and tech hubs around the

21:19

planet where each region has something

21:21

unique to offer. So once again, it's a

21:24

fascinating time to be alive and let's

21:26

see how the next year will unfold. We

21:28

would like to thank those of you who

21:29

stayed with us this year, those who

21:31

believed in us and gave us your time. We

21:33

cannot imagine getting to where we got

21:34

in just one year. So from both of us,

21:37

myself and Maria, thank you and we will

21:39

see you in our anniversary episode.

Interactive Summary

The year 2025 has been turbulent for the tech job market, with layoffs remaining high and demand concentrated in specific sectors. Contrary to early predictions of a rebound, 2025 levels of layoffs matched or exceeded 2024. Regions like the US and Canada are experiencing a "hollow middle" in their job markets, with a shift towards nearshoring and a demand for highly skilled senior roles, while junior positions are declining. Europe faces deindustrialization risks, particularly in Germany's automotive sector, but sees a surge in demand for AI sovereignty and regulation roles. The Gulf states, like the UAE and Saudi Arabia, are focusing on nationalization and specialized local talent. Globally, the trend points towards greater specialization, with individual contributors holding more leverage than middle managers. The geopolitical landscape is increasingly shaped by the race for AI infrastructure and data sovereignty, leading to the rise of regional tech stacks and a push for independence from major powers like the US and China. The AI theme for 2026 is 'physical AI,' signifying a move from language models to integrating AI into the physical world across various industries, marking a new era of hardware-enabled AI.

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