Google VP: The AI Shift Is Done and the Gap Between People Is Growing.Here's How to Stay Ahead

Something shifted in 2026 that most people haven't really sat with yet. 36%

of new companies are now solo founded.

One person, no co-founder, no team. And

this company is building things that used to require 12 people, 100 people. 5

years ago, that number was 23%. Demand

for analytical and technical skills is up 20% in 2 years. And people who actually work with AI, not just use it, are pulling ahead visibly in terms of salary, in terms of how they're catching

up with the world. And I wanted to understand what's happening so you can jump on these trends and maybe build a new career or build a new business or at least optimize your life. So if you have

things in your life that you wish, AI is changing how we do things and you need to understand this. In this episode, I will also talk to someone who represents a company I admire, Yasi Matias, head of

Google research. He built Google Trans,

Google research. He built Google Trans, something that I use all the time. He

built autocomplete. He's been at Google for more than 20 years. And Google is one of the top companies leading this revolution. He doesn't do many

revolution. He doesn't do many interviews. So, I'm really glad we did

interviews. So, I'm really glad we did this one. Let's start with trend number

this one. Let's start with trend number one. AI agents. When most people think

one. AI agents. When most people think about AI, they think about asking for information in a chatbot. You ask

something and answers. What's actually

happening right now is different. Agents

execute for you and you hand off tasks across your entire system. your email,

your calendar, your research, your CRM, and you don't have to touch it. For

example, I just set up an agent. It's

really easy to do that with Perplexity Computer, for example. It just automates the hell out of everything. So, I'm

keeping track of a couple of people on Instagram, and I want to know what's going viral for them. So, Perplexity

just goes, analyzes what's going viral, and every morning I get an email what's going on in their accounts, how people are reacting, and I get a personalized script on a similar topic so I can make a video. And it's crazy. Stanford

a video. And it's crazy. Stanford

tracked that 35% of productivity gains is happening right now from using contextaware agents. That's the

contextaware agents. That's the difference between a 4 day week and a 6 day week. What this means for your job

day week. What this means for your job is that the person who learns to set up and run an agent isn't just faster. They

are doing work that used to require two or three people. Trend number two, vibe coding. This one I personally find the

coding. This one I personally find the most exciting and honestly a little wild. VIP coding means describing in

wild. VIP coding means describing in plain language what you want to build and having AI write the actual code. I

have a person on my team who doesn't know how to code. She runs my LinkedIn and she had an idea on Tuesday. On

Thursday it was a working product and again she doesn't know how to code at all. Yasi's team at Google has been

all. Yasi's team at Google has been working on something they call generative UI where you describe what you want and in about a minute you get a fully interactive application button, logic, interface all in a matter of few

minutes. Again, what this means for you,

minutes. Again, what this means for you, if you've been waiting to build something, a tool, a product or a workflow, or if you have an idea, instead of just talking about this idea to your teammates, just go and build it.

Did this barrier is gone. You talk to the app and you pitch a prototype.

I think they're underhyped.

Oh, you think so?

Yeah, definitely. And here's why. So,

first, we should always keep in mind that what we're seeing today is not the future. We're just seeing today. And you

future. We're just seeing today. And you

know having been working for over a decade on search um in search we suddenly take the user intent and we try to give the best information. Now with

AI systems we can actually understand much better the user intent and let them actually express what we do. Now vibe

coding is a great example where people can now actually uh say what they want to be developed and you can already everybody can now develop an application

that previously required a team. Even um

we recently shared something that we call generative UI that enables you to actually for any prompt get a result um out of we have an experiment within

Gemini app called dynamic view that gives the full interaction full interactive user interface in about a minute for any prompt that you ask if somebody was developing an application

on your behalf. So only you need to say what you'd like to learn about and it will sometime even give all the buttons and emulation and in fact the technology is now available also in search AI mode.

Trend number three the skills that actually matter are shifting the reflex most people have is AI is replacing jobs so I need to become more technical to survive learn to code get a data science

certificate whatever that's not wrong but it's incomplete. Yossi hires

constantly at Google research, one of the most exciting places to be right now. And asked him directly, what are

now. And asked him directly, what are you actually looking for right now? And

the answer wasn't a specific skill. It

was the ability to think, adapt, and learn faster than technology changes. He

said people need to relearn how to work even at senior levels because the tools shift every single month. But what that actually means in practice, the people pulling ahead aren't the ones who know

more. They are the ones who know what to

more. They are the ones who know what to give to AI and what questions to ask when it gives back. So if there is one thing you should be working on is actually your judgment. How do you know

what is good and what is bad in your job? That judgment is learnable. You can

job? That judgment is learnable. You can

work for somebody who has perfect taste and learn it from them. But almost

nobody's deliberately practicing it, but that is exactly what's going to give you premium when you're looking for a job. I

try to hire people who have taste, who can make strategic decisions, who know what's great for my content and I care less about the technical skills because again Claude is someone who knows

everything about what's going on in the world but it can't make a judgment as good as a person.

Yeah. So in a way I remember I was asked so how do you think uh things are going to change 5 years and and I I thought about it in one hand everything is going to be different on the other hand nothing is going to be different. I've

heard that at Davos this year in in a way I mean we're humans right and what's motivation for what we're doing it's not really to fulfill a particular predetermined task we define our own

ambitions our own tasks same with learning I remember the early days when suddenly Google was made possible for everybody to get facts and people say wait a minute what's going to do in uh

for kids because we ask them to do homework and collect facts in library and now it's easy are they going to be lazy well no because now this is a given

that's a tool so now we expect them actually to go to the next level we expecting them to synthesize and now with AI of course there's another conversation what is it going to

do and my prediction is that in fact we're just going to uplevel what we expect that's why I'm thinking about AI as an amplifier for human ingenuity now what are we going to do with that goes

back to the motivation why we doing what we're doing so in a way um our lifestyle going to change definitely but the basics are probably not going to change at all

which is about people working with other people about solving important problems that they're excited about.

Yeah. And as a person who's constantly hiring, uh can you talk about the skills that you're looking for uh both technical and uh non-technical?

One thing that I always thought is is critical is the ability to think, the ability to adapt, the ability to evolve, the ability to actually think about

problems and then uh try to solve them.

Now today these are more important than ever of course because you know uh technology is moving fast. uh people

need to adjust their learning even uh no matter how experienced they are. There

are new technologies engineers need to relearn you know how to use AI in order to be more productive and there and people are doing it. So the ability to adapt to learn to have a strong

foundation is more important than ever.

So for example, when I refer to AI as an amplifier of human ingenuity and the opportunity for every researcher to uh be able to use AI in order to actually

ask your questions, it's important to also um adapt and learn how to do that.

You know, if we really want people to be able to do the kind of roles that today we expect many more senior people who are much more senior to do, obviously we need them to learn how to do that much

quickly. The good news is that I believe

quickly. The good news is that I believe that AI can help us with that as well with kind of tutoring with feedback. Um

the fact that to write a paper for example, AI can give you very the kind of feedback that in the past you actually needed the attention of your adviser perhaps to do.

Oh yeah.

So so I think we we things are going to adapt in all of these dimensions and um I think humans are what we proved over the years is that we're extremely

adaptive.

Adaptive. Trend number four, AI is becoming invisible. Yossi called it

becoming invisible. Yossi called it ambient intelligence. The idea is that

ambient intelligence. The idea is that technology becomes powerful precisely when you stop noticing it. Think about

Google translate. When did you last think about how it works? You just use it or autocomplete. Yossi built that.

Nobody thinks about autocomplete anymore. It's just expected. That's

anymore. It's just expected. That's

what's happening with AI tools right now. What this means for you is that as

now. What this means for you is that as an employer, for example, I already expect beautiful presentations. I

already expect that you do a very very deep dive into what's happening in the business. Like all of these beautiful

business. Like all of these beautiful documents, they are a must because it takes a few minutes to generate them with AI. This deep intelligence on the

with AI. This deep intelligence on the project. But again, it brings me back to

project. But again, it brings me back to this idea that beautiful reports, deep analytics, and everything is already expected just because it's so easy to do that. What we're paying premium for is

that. What we're paying premium for is creative decisions, right? being on a call and explaining to the team the trajectory we're moving into. And that

is something you can't just generate with AI. We were just talking about

with AI. We were just talking about replacing tools, switching agents, rebuilding workflows. Founders do it all

rebuilding workflows. Founders do it all the time. But there's one platform

the time. But there's one platform almost nobody touches, their email, because that's where the revenue lives.

Everyone's afraid to touch it. But what

I've noticed talking to so many builders is that a lot of people are stuck on platforms they've already outgrown. The

pricing doesn't scale. Email and SMS live in separate tools. Automations take

forever to set up and they stay not because they're happy, but because switching it does sound terrifying. This

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talk about the next AI trend.

So, one notion that uh I've been uh quite passionate about for quite some time is what I would call ambient intelligence, which is that you have technologies that you just use. You

don't think about them. this they're

becoming so available and so intuitive that you actually don't you just assume they work right uh think about autocomplete which I also had the the the privilege to to develop with my team

uh over the years in search people just assume that you start typing and it will just suggest to you and I remember that that people were in the early days what about this magic wow how does it make a

guess and today you just expect it to be the case right and similarly you can think about so many other technologies think about voice uh technology the fact that now

you can speak and um and you know it you expect what you're speaking to be understood you can take text you can listen to it I remember actually working on these technologies in the early days

this was the aspiration and now you just assume this is the case think about multiple languages I still remember the day that one of my kids came from school and say hey dad

what what's going on with your translate that line that sentence was not translated did very well. It's actually

quite um bad translation. And I was thinking to myself, you know, just a few years ago, having automatic translation of a page was a science fiction and he assumes this is just available.

Trend number five, AI is rebuilding education. Oh, I absolutely love

education. Oh, I absolutely love Google's notebook LM. if you haven't used it for education yet. So,

basically, you upload a bunch of files and then you ask it and now imagine it releveled for a 10-year-old who loves soccer or gravity is explained using a

free kick or turned into a podcast or an infographic that you can then post on LinkedIn. Then those infographics do

LinkedIn. Then those infographics do really well or you can make a whole video out of it and post it on YouTube.

Like that's explanation for you, but also a lot of social media content. The

model where you had one textbook, one level, same for everyone is 200 years old. AI is breaking it. And I think a

old. AI is breaking it. And I think a lot about my daughters on this one. Kids

who grow up with personalized AI tutors from age five are going to arrive at 18 with a completely different foundation than kids who didn't. That's a 10ear advantage. So if you are reskilling now,

advantage. So if you are reskilling now, make sure you use all of the advanced tools. you know education which is one

tools. you know education which is one of theirs and uh I think is highly important is is a way that is really poised to be transformed and and we have

recent experiment of asking ourselves can we reimagine the textbook instead can we take a textbook and use AI in order to actually um give it in

different experiences that are going to be personalized and contextualized. So

for example, can I have an immersive?

Can I take the text and make it immersive? Think Harry Potter. Can I

immersive? Think Harry Potter. Can I

make it conversational? Can I have a sketchbook with that?

And by the way, yeah.

Can I have it in a level that is suitable for the audience? So for

example, can I explain gravity to a 10-year-old who likes soccer that the textbook can actually be uh releveled to 10 year old kind of language and give examples from soccer. The answer is yes.

to actually have some experiment and these are early days. So I expect that in the future it's going to be seamless.

It's going to be kind of uh just available to us.

The trend that I'm seeing now as a mom though is that now kids are expected to know how to read when they start school, right? Cuz back in the day you're like

right? Cuz back in the day you're like your kid goes to school, no letters, no numbers. Now they're like, "Oh, I

numbers. Now they're like, "Oh, I actually have the classes already reading and they're 5 years old." And

you're like, "Wo, okay."

You know, kids are already smarter, I think, than the older generation.

because they're going to have AI in their disposal.

And by the way, we had to most people had to focus and learn certain subject and focus mostly on that one. And when they wanted to

work across disciplines, they had to meet with other folks and try to somehow do that together. We're going to have everybody's going to have a polymath in their pocket. Trend number six that

their pocket. Trend number six that makes me actually really very optimistic. Problems that were

optimistic. Problems that were impossible are being solved in 5 years.

I want to end on this one because I think it really changes how you hold everything else I just said. Yosi's team

builds flood prediction systems. 7 years ago, every expert they talked to said it was impossible. Too many variables, no

was impossible. Too many variables, no clean data, no way to get to seven days.

Today, that system covers 150 countries and two billion people under five years start to finish. And we're getting better and better. Stanford economist

called 2025 the AI harvest period. The

experiments are done. What works is separating from what doesn't. The

industries with the highest AI exposure right now are seeing labor productivity grow 4.8 times faster than the global average. And that's already measured.

average. And that's already measured.

Like how productive we're getting is just crazy. So when you're hearing AI

just crazy. So when you're hearing AI can't do that yet, uh maybe now, but see what happens in two weeks. Stay curious

about what AI can and can't do. We all

heard about a guy creating a vaccine for for his dying dog to treat cancer and being willing to update your answer every few months. That might be the best underrated thing you can do for your career right now.

When I say AI as an amplifier of human ingenuity, this is not only a prediction. This is a design goal. This

prediction. This is a design goal. This

is how I'd like us to build our systems. How I'd like us to see how we are helping uh you know the society to actually do that. how we're influencing

education so that our kids can actually grow into this future and uh and I'm quite optimistic about what how we can actually have those next generation

solve many other problems in the world.

Yeah. Cuz they have more to work with. I

I just wanted to ask you one last question. And if somebody wants to

question. And if somebody wants to remember one thing from this conversation, what is the mindset that they should adopt for 2026 to stay as positive as you are and also relevant in

the job market?

Yes. So one exciting thing is about using technology and research is that certain problems that seem impossible are not necessarily impossible. In fact,

I've yet to see something that is impossible to tackle. Here's an example.

One area that we're using AI quite a bit is on climate resilience. How to address natural disasters. One thing I learned

natural disasters. One thing I learned at the time is that uh one area that were not very helpful is an area of natural dis of flood of flood flood

prediction floods are you know causing uh thousands of death every year. Fast

forward, we now have a system that provides um flood predictions in 150 countries covering two billion people

predictions up to 7 days in advance.

And from what seemed to be impossible just seven years ago, we have a system doing that. It's a really opportunity

doing that. It's a really opportunity for innovation to create value. Um by

the way on healthcare we put out um a model called Medma which now have over two million downloads by which enables developers develop their own

applications on medical capabilities.

So in this video six trends, real data, real examples from someone who has been building this for 20 years. Here's what

I want you to take away from this.

Trends are happening regardless if you're with them or not. The people who are pulling ahead right now aren't necessarily the most technical, most hardworking people in the room, they are the most curious. They're the ones who

are trying the tool, who are playing with things, reading something on X, watching some good YouTube videos, ask the question, updated their workflow, and move on to the next thing. You

already did that today. That's not

nothing. By the way, if you're watching this and you're like, "Marina, you're trying to not think with your AI. I

haven't even built a thinking buddy when it comes to AI, but I really want to have that option. Please subscribe to my email. This is exactly where I talk

email. This is exactly where I talk about these things, how we built them, and how they're working for us. And we

give you the exact prompts and the exact files you can just copy and paste into your workflows. Thank you so much for

your workflows. Thank you so much for watching this video to the very end.

Don't forget to subscribe, and I'll see you very soon. Bye.