AI Future Job Opportunities
Just this year, more than 100,000 tech workers worldwide have been laid off across companies like Amazon, Intel, Microsoft, Meta, IBM, and Salesforce. Amazon alone cut 14,000 corporate roles. Clariner reduced its staff by nearly 40% as it leaned into guess what? AI. Dualingo is phasing out human contractors in favor of automation.
And this isn't limited to tech. In the UK, one in six employers now expect AI to reduce their workforce in the next year with junior roles hit first. AI political turbulence, economic pressure. Together, they've created what some people are already calling apocalypse.
And here's the paradox. Companies publicly say, "If we don't adopt AI, we won't exist in 15 years." And at the same time, they're hiring fewer juniors than ever. It really feels to me like this first step of the career ladder is cracking. And if that first step is gone, what does that mean for the future work and for the careers of recent graduates?
On my podcast, Silicon Valley Girl, I talk to CEOs, investors and founders who are actually hiring people and who are building the AI tools everyone is so anxious about. And you know, I'm a mom. I have a six-year-old and a four-year-old. I used to worry about my career. Now I'm worried about my daughter's future because it's so unpredictable.
And that's one of the reasons why I do the podcast because I want to hear from those people. I want to ask my questions as a moment as an immigrant. And in this video, I want to bring their insights together and show you which jobs are actually at risk, which careers will grow because of AI, and what you can do right now to make your career as AI proof as possible.
What Is Really Happening to Jobs Today?
Let's start with what's really happening to jobs today. When I talk to founders and CEOs, they all say the same thing. In five years, we will most likely have AGI and there will be massive unemployment.
For decades, the life formula was simple. Go to school, get a degree, get a job. Now, the formula is breaking. Education prices keep going up. But graduate job openings in some countries are down by 40%.
So, if the job market feels like a closed door, it's not because you're doing something wrong. The system is preparing people for a world that does not exist anymore.
Why Traditional Education Is Changing
And here's how Daniel Priestley, a British entrepreneur and founder, describes this gap.
[Original Daniel Priestley discussion remains here.]
The question isn't do I have a degree anymore? The real questions are, can I solve ambitious problems end to end employing those AI tools? Can AI actually 10x my output? Can I do something beyond what a model and a cheaper freelancer could do together?
Artificial Intelligence Jobs in Future
And that leads us to the next part. Which jobs are actually in danger and why?
When people ask which jobs will AI replace, they expect to hear coders, designers, maybe copywriters. But the reality is more nuanced and in some ways more scary.
Which Jobs Are Most Exposed to AI?
I asked Perplexity to analyze my portfolio.
[Original Perplexity, financial adviser and real estate discussion remains here.]
AI Is Changing Tasks, Not Always Entire Professions
Clear pattern shows up. AI is not killing entire professions. It's killing the shallow version of those professions.
A lawyer who just rewrites templates, that's easy to automate. A financial adviser who just picks a few mutual funds from a list, also easy to replace. A real estate agent who only sends you Zillow links, you don't need a human for that.
But a lawyer who negotiates, strategizes, and builds deep trust with clients, very valuable. An adviser who gets you into deals you can't Google. An agent who finds offmarket properties and navigates messy human situations.
AI isn't replacing law or finance or real estate as fields. It is replacing job descriptions that are too basic.
Why Human Skills Still Matter
I just talked to someone who runs a nonprofit helping students from low-income families apply to colleges. And she actually sees how AI is helping them because prior to AI, one tutor could only help a few students. Now one tutor is helping hundreds of students.
And because AI can answer a lot of generic questions, they still need humans there to motivate people. Students need that support. They need a human to tell them you can do it. You're worth it. You can apply to that college.
What I'm saying here is that AI isn't replacing entire fields. It is replacing job descriptions that are too basic.
Why More People Are Building Their Own Careers
And that's exactly why so many people decide to build their own thing instead of fighting for one of those shrinking roles.
Before we go deeper, I want to pause here for a moment. Whenever I talk to founders or creators, one thing keeps coming up. As AI reshapes the job market, more people are choosing to build their own thing. Startup service, a personal brand, and even in an AI world where a search is completely different now, you still need a place where your work lives.
[Original domain promotion section remains here.]
How AI Is Changing Work Inside Companies
So, let's look at the job loss problem at a different angle. Let's say you already have a pretty good job and you like it and it's interesting. You're inside the company. You see all these changes and you're thinking, "Okay, how do I not get replaced by the next wave of tools?"
I asked my guests what they're doing with their own teams right now.
[Original conversation about higher-value work and replacing repetitive tasks remains here.]
The New Contract Between Humans and AI
This is basically the new contract at work. AI takes the boring repeatable tasks. Human move up to higher value problems.
If you refuse to move up, you eventually move out.
And big tech CEOs are thinking the exact same way.
[Original big-tech CEO discussion remains here.]
How to Become More Valuable at Work With AI
So, if you already have a job, your number one goal is very simple. Become the person who knows how to do your job with AI, not in spite of it.
And if you're a manager and you're watching this, another meaningful thing I took away from a conversation with this lady who runs this nonprofit helping students apply to colleges is that teams should focus on the problem they're solving with AI tools.
Simple AI Workflows You Can Start Using
In order to become a person who knows how to do their job with AI, you can start with really easy practical exercise.
Ask yourself what are the three most repetitive things I do every week? Is it writing emails, making reports, doing research, cleaning data?
Then build a tiny AI system around each one. This can be prompts, small automations, agents, very basic, anything that saves time.
I really like spaces and perplexity. Feel like I have a space for my high cholesterol. I have a space for guests that I'm researching.
And then you just notice how you save 30 to 50% of your time on that repetitive stuff. I don't type my emails anymore. I just talk to ChatGPT and it writes my emails.
So keep asking myself, what higher level work can I move to? Where is this highest ROI? Where should I invest more time in? And where should I delegate to AI?
That's how you move from replaceable task doer to irreplaceable operator.
Skills That Matter in the AI Age
That brings us to one of my favorite questions. My daughters are four and six and I always ask entrepreneurs, what skills should our kids learn for this new world?
And honestly, the answer is very similar for them and for us.
Generally speaking, AI don't suggest waiting because part of what you want to be doing, you know, just like any new technological revolution, whether when YouTube was happening, when the internet's happening, the folks who go and adopt and play with it early then have a differential edge in the change that it means in the industry, in their society.
Why Learning to Learn Matters
Then I asked the founder of Replet, Amjad, what he's teaching his own kids because he's an immigrant and his kids are the same age as mine.
[Original Amjad discussion remains here.]
Human Skills AI Still Struggles to Replicate
The new AI age wants you to be what researchers call a human epoch. Someone who brings the five abilities AI still can't replicate. Empathy, presence, opinion or ethics, creativity, and hope slash leadership.
And these aren't soft skills anymore.
Let me give you a simple example. Two people can both use ChatGPT to write a report, but only one of them can walk into a meeting and read the room, understand why a client is nervous, understand what could be a hesitation, reframe the problem when the model's answer isn't enough, make a judgment call when the data conflicts, inspire the team to move forward.
That combination, human psychology plus AI fluency is what companies are paying a premium for.
Why Personal Brand May Matter More
And then there is something most people still underestimate. Personal brand.
[Original personal brand discussion remains here.]
In a world where AI can generate infinite content, people follow people.
Your edge is a mix of AI fluency. You know how to use tools better than 90% of your peers. Polymath skills. You can connect dots across fields and ship real things. Personal brand.
None of that requires permission from a recruiter, but it does require something old-fashioned learning.
How to Start a Career in Artificial Intelligence
No, we're not all about retiring at 30, but how we work is changing fast.
Instagram co-founder Mike Kger described it perfectly when he talked about Claude and AI agents.
[Original Claude and AI agents discussion remains here.]
This for me is the blueprint of AI proof careers. You work with models that see patterns better than any human ever could, and you bring the things that absolutely can't. Judgment, taste, ethics, lived experience, emotional support.
In other words, you become the translator between messy human reality and superhuman AI systems.
Do You Need a Degree to Work in AI?
With all these tools, it's natural to ask, do we even need formal education?
I asked Perplexity CEO Aravent if he'd still do a PhD today. And what he'd tell an 18-year-old starting from scratch.
[Original PhD discussion remains here.]
So, no, you do not need a PhD to succeed in AI. But you do need the thing a good education was always supposed to give you. The ability to learn fast, the ability to ask better questions, to go deep when everyone else is just skimming.
AI makes it easier than ever to access knowledge. It does not replace your responsibility to actually use it.
AI Courses
So, let's put this all together.
Yes, entry-level jobs are disappearing. Yes, simple repeatable work is becoming less valuable even if it's intellectual. The people actually building this future keep saying the same thing. This is both the hardest and the best time to build your career.
Step 1: Learn to Work With AI
If you want to be on the winning side of this shift, here's a simple plan you can start this month. Something real, something doable.
Step number one, learn to work with AI, not around it.
Write down the tasks you repeat every week. Reports, research, emails, content, and keep iterating.
Don't stop there. Build AI workflows for them using ChatGPT, Perplexity, Claude. Keep trying those new tools.
Your goal is to cut the time in half for just three to five tasks in the next 30 days and put it into your CV or LinkedIn.
Step 2: Build Deep Knowledge in One Area
Step number two, go deep in one area. Then expand.
Pick a field and commit to one full year of uncomfortable depth. Courses, side projects, real work you can show.
After that, add an adjacent skill. A marketer who codes, a doctor who understands AI, a designer who knows data.
That's how you go from task doer to someone who actually moves the business.
Step 3: Build a Small Personal Brand
And then step number three, build a small but real personal brand.
We've hired some people recently and most of them came because my COO followed them on LinkedIn. She liked their way of thinking. She liked their experience. She reached out on LinkedIn.
We were not chasing people with million followers, just a couple thousand people who know what you're good at.
Post once or twice a week about what you're learning, building, and improving. Share experiments, share case studies, and numbers.
Document the journey instead of waiting to feel ready.
Final Thoughts on AI and the Future of Work
So, to wrap this up, the future work isn't humans versus AI, it's humans plus AI.
And the gap between those who adapt and those who don't is getting wider every month.
If you want me to break down specific AI workflows for your job or industry, tell me what you do in the comments. I might make a whole video around it.
And if this helped you feel a little less apocalypse and a little more okay, I actually have a plan. Hit the like button so that more people can see this video.
Your career is not over. It's just in beta and you're the one shipping the next version.
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