Dr. Nancy Li - Director of Product

𝟓 𝐀𝐈 𝐭𝐨𝐨𝐥𝐬 𝐞𝐯𝐞𝐫𝐲 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐬𝐡𝐨𝐮𝐥𝐝 𝐤𝐧𝐨𝐰:

1️⃣ 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 (𝐏𝐑𝐃𝐬 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠)
Don't just ask it to "write a PRD."

Give it:
• Context
• Features
• Acceptance criteria

The better your inputs, the better your outputs.

2️⃣ 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 (𝐑𝐚𝐩𝐢𝐝 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠)
Turn your PRD into a working prototype in hours—not weeks.

But remember:
𝑉𝑖𝑏𝑒 𝑐𝑜𝑑𝑖𝑛𝑔 ≠ 𝑝𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑜𝑛 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒.

Use it to validate ideas quickly before investing engineering resources.

3️⃣ 𝐄𝐫𝐚𝐬𝐞𝐫 (𝐒𝐲𝐬𝐭𝐞𝐦 𝐃𝐞𝐬𝐢𝐠𝐧)
Create architecture diagrams and visualize how your product works before writing code.

Great products start with great systems thinking.

4️⃣ 𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐈 𝐒𝐭𝐮𝐝𝐢𝐨
One of the fastest ways to go from idea to deployed AI application, especially if you're building within the Google ecosystem.

5️⃣ 𝐌𝐚𝐧𝐮𝐬 𝐀𝐈 (𝐆𝐨-𝐭𝐨-𝐌𝐚𝐫𝐤𝐞𝐭)
Don't stop after building.

Use AI to analyze competitors, improve marketing strategies, and optimize growth.

---

The biggest mistake I see?

People think learning AI means learning 𝐭𝐨𝐨𝐥𝐬.

It doesn't.

Learning AI means learning how to think with AI.

The Product Managers who thrive over the next few years won't be the ones who memorize the most prompts.

They'll be the ones who know how to combine AI with product strategy, leadership, and customer obsession.

𝑾𝒂𝒏𝒕 𝒕𝒐 𝒑𝒖𝒕 𝒕𝒉𝒆𝒔𝒆 𝒕𝒐𝒐𝒍𝒔 𝒊𝒏𝒕𝒐 𝒑𝒓𝒂𝒄𝒕𝒊𝒄𝒆?

I've created a 𝐅𝐑𝐄𝐄 𝐠𝐮𝐢𝐝𝐞: 𝐓𝐨𝐩 𝟏𝟎 𝐀𝐈 𝐏𝐫𝐨𝐦𝐩𝐭𝐬 𝐟𝐨𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬 𝐭𝐨 𝐂𝐫𝐞𝐚𝐭𝐞 𝐒𝐭𝐞𝐥𝐥𝐚𝐫 𝐏𝐑𝐃𝐬 & 𝐆𝐓𝐌 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬.

These are practical prompts you can use immediately to:
✅ Write better PRDs
✅ Build faster with AI
✅ Create stronger go-to-market strategies
✅ Get higher-quality outputs from AI

Download your free copy here: www.pmaccelerator.io/aipromptsforpm

Which AI tool has had the biggest impact on your workflow recently?

#ProductManagement #AIProductManagement #PMAccelerator #AIPMBootcamp

2 hours ago | [YT] | 6

Dr. Nancy Li - Director of Product

Don't confuse 𝐯𝐢𝐛𝐞 𝐜𝐨𝐝𝐢𝐧𝐠 with 𝐬𝐡𝐢𝐩𝐩𝐢𝐧𝐠 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞.

They're two completely different things.

A prototype helps you answer one question:

"𝐒𝐡𝐨𝐮𝐥𝐝 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐢𝐬?"

A production product has to answer many more:

* Can it scale to thousands (or millions) of users?
* Is the data secure?
* Can it handle failures gracefully?
* Does it meet compliance requirements?
* Is the architecture maintainable six months from now?

AI can help you generate code.

It can't magically solve engineering trade-offs, security, scalability, or long-term system design.

That's why the best AI Product Managers don't stop after the prototype.

They know how to:

✅ Validate an idea quickly.

✅ Collaborate with engineers to design a scalable solution.

✅ Make strategic product decisions based on customer needs—not just what AI can generate.

AI is making it easier than ever to build software.

But building software has never been the hardest part.

Building something people trust, adopt, and continue using is.

The future belongs to Product Managers who can bridge both worlds: moving fast with AI while understanding what it takes to ship real products at scale.

If you're ready to go beyond AI prompts and learn how to 𝐛𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐥𝐚𝐮𝐧𝐜𝐡 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐥𝐞𝐯𝐞𝐥 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 with a team of AI engineers and designers, 𝐛𝐨𝐨𝐤 𝐚 𝐅𝐑𝐄𝐄 𝐂𝐚𝐫𝐞𝐞𝐫 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐂𝐚𝐥𝐥 with one of our career advisors.

We'll walk through your background, answer your questions, and show you how our 11-week AI Product Management Bootcamp helps you build real-world AI products that prepare you for today's job market.

👉 www.pmaccelerator.io/AI_PM_Course_Application

#ProductManagement #AIProductManagement #PMAccelerator #AIPMBootcamp

1 day ago | [YT] | 3

Dr. Nancy Li - Director of Product

Something interesting is happening in world football right now.

Cape Verde held tournament favorite Spain to a 0-0 draw.

Paraguay eliminated four-time World Cup champion Germany on penalties.

Norway defeated Brazil 2-1 to reach the quarter-finals.

On paper, these teams were not supposed to win.

They had less history.
Less reputation.
Less legacy.
Less “obvious” advantage.

But they still showed up.

They played with discipline, courage, and belief.

And it made me think about what is happening in the job market right now.

For a long time, experience was the biggest advantage.

The person with 15 or 20 years of product experience had the edge.

The person from Google, Meta, Amazon, or a top MBA program looked impossible to compete with.

But AI is changing the rules.

This may be one of the rare moments in history where people with less traditional experience can compete with people who have more years on paper.

Why?

Because the market is not just asking:

“Have you been a PM for 20 years?”

It is starting to ask:

“Do you understand AI?”
“Can you build with AI?”
“Can you launch an AI product?”
“Can you use AI to create business impact?”

A general PM with 20 years of experience but no AI fluency can lose opportunities to a newer PM who has actually launched a real AI product.

That is the reset.

That is what AI is creating right now:

A new playing field.

Not an easy one.

But a different one.

And for people willing to adapt, build, and move fast, this may be the biggest career opportunity of our generation.

Do not wait until you feel like the favorite.

Take the shot anyway.

If you want to build real AI product experience and become competitive for AI PM opportunities, book a free strategy call with my team here:

www.pmaccelerator.io/product-career-application

What is one opportunity you almost talked yourself out of because you felt underqualified?

#AIProductManagement #ProductManagement #ImposterSyndrome #PMAccelerator

4 days ago (edited) | [YT] | 4

Dr. Nancy Li - Director of Product

🚨 Urgent Hiring: 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 𝐚𝐭 𝐎𝐧𝐂𝐨𝐫𝐩𝐬 𝐀𝐈

OnCorps AI is looking for a Product Manager to lead the development of AI-powered products that automate complex middle- and back-office workflows for some of the world's largest asset managers and financial institutions.

If you enjoy working at the intersection of 𝑨𝑰, 𝒇𝒊𝒏𝒂𝒏𝒄𝒆, 𝒂𝒏𝒅 𝒑𝒓𝒐𝒅𝒖𝒄𝒕 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒚, this could be a great fit.

They're looking for someone who has:

✅ 5+ years of Product Management experience in Financial Services, FinTech, or RegTech
✅ Strong understanding of institutional finance (Asset Management, Fund Accounting, Regulatory Reporting, etc.)
✅ Experience taking complex products from concept to launch
✅ Hands-on Agile/Scrum experience, including sprint planning and backlog management
✅ The ability to translate complex business problems into clear product requirements
✅ Strong communication skills with both technical teams and executive stakeholders

Bonus points if you have experience with AI/ML products, Explainable AI, SQL, Snowflake, Databricks, or certifications like CFA, FRM, or PMP.

Why join OnCorps AI?

You'll have the opportunity to build production-ready AI products that solve real-world problems for leading financial institutions, work alongside a high-caliber team, and help shape the future of autonomous financial operations.

📍 Location: Hybrid – Boston, MA

If you're interested or know someone who'd be a great fit, feel free to reach out!

👉 LIKE this post and DM me with the job title and company, and I'll ensure your resume gets straight to the hiring manager.

#PMAccelerator #AIPMBootcamp #TechHiring #JobReferral

6 days ago | [YT] | 4

Dr. Nancy Li - Director of Product

Most PM candidates hear the interview question.

Very few actually understand it.

When an interviewer asks "How would you improve Spotify?" — they're not asking for your feature wishlist. They're testing whether you can identify what kind of problem this is before you start solving it.

The best answers always start with a question back: "Before I dive in — are we optimizing for engagement, new user growth, or something else?"

That one move signals more PM maturity than 10 minutes of frameworks.
Interviewers don't just want an answer. They want to see that you understand why they're asking.

We built an AI interviewer, Practicely, to evaluates Goal Understanding as a core dimension — because it's the skill most candidates overlook, and the one that separates good from great.

You can try our product for free www.interviewer.pmaccelerator.io/

#ProductManagement #PMInterview #ProductSense #Practicely

1 week ago | [YT] | 10

Dr. Nancy Li - Director of Product

Every PM will become an AI PM.

Not because “AI PM” is the hottest job title right now.

But because in a few years…

AI won’t be a specialty anymore.

It will be the baseline.

Every product roadmap will have AI features.

Every PM will be expected to:
→ Understand AI capabilities
→ Make AI product decisions
→ Work with AI engineers and data scientists
→ Lead teams building AI products

The PMs who learn this now will lead.

The PMs who wait?

They won’t just compete against AI.

They’ll compete against PMs who already know how to build with AI.

But here’s where most people get it wrong:

You can’t become an AI PM by just watching courses.

You can finish 10 AI tutorials…

Earn 5 AI certificates…

Build a weekend no-code project…

And still struggle to pass an AI PM interview.

Because hiring managers are looking for one thing:

𝐏𝐫𝐨𝐨𝐟 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐬𝐡𝐢𝐩 𝐫𝐞𝐚𝐥 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬.

The PMs landing AI roles today are the ones who have:

✅ Built AI products from 0 → 1
✅ Worked with engineers, designers, and data scientists
✅ Made real AI trade-off decisions
✅ Experienced the messy reality of launching AI features

That’s the experience companies care about.

Tomorrow, I’m hosting a FREE AI Product Management Workshop where I’ll break down:

→ Why every PM role is shifting toward AI
→ What hiring managers look for in AI PM candidates in 2026
→ The 5 traits that separate future AI PM leaders from everyone else
→ How to gain the hands-on AI experience companies actually value

We only have 𝟕 𝐬𝐩𝐨𝐭𝐬 𝐥𝐞𝐟𝐭.

Once the room is full, registration closes.

If you’re an aspiring PM trying to break in…

Or a senior PM who wants to stay ahead of the AI shift…

This is the time to move 👉 www.pmaccelerator.io/AIPM

#ProductManagement #AIProductManagement #PMAccelerator #AIPMBootcamp

1 week ago | [YT] | 3

Dr. Nancy Li - Director of Product

𝐀 𝐜𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞 𝐮𝐬𝐞𝐝 𝐀𝐈 𝐭𝐨 𝐚𝐧𝐬𝐰𝐞𝐫 𝐦𝐲 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬... 𝐥𝐢𝐯𝐞.

Today I interviewed someone for a full-time, fully remote role.

Within minutes, something felt off.

Every time I asked a question, there was a long pause.

She wasn't thinking.

She was typing my question into AI.

Then waiting for the response.

Then reading it back to me almost word for word.

The interview ended immediately.

She was permanently disqualified from future opportunities with our company.

Here's the part that concerns me.

AI is an incredible tool.

I use it every day.

But there's a huge difference between 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐛𝐞𝐭𝐭𝐞𝐫 and 𝐮𝐬𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐩𝐫𝐞𝐭𝐞𝐧𝐝 𝐲𝐨𝐮'𝐫𝐞 𝐛𝐞𝐭𝐭𝐞𝐫.

The first makes you more capable.

The second makes you replaceable.

If you need AI to answer every interview question for you...

What happens after you're hired?

Who will solve the problems when AI gives the wrong answer?

Who will make the strategic decisions?

Who will lead the team?

Companies aren't hiring people who can copy AI outputs.

They're hiring people who know 𝒉𝒐𝒘 𝒕𝒐 𝒕𝒉𝒊𝒏𝒌, 𝒉𝒐𝒘 𝒕𝒐 𝒎𝒂𝒌𝒆 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔, and 𝒉𝒐𝒘 𝒕𝒐 𝒖𝒔𝒆 𝑨𝑰 𝒂𝒔 𝒂 𝒇𝒐𝒓𝒄𝒆 𝒎𝒖𝒍𝒕𝒊𝒑𝒍𝒊𝒆𝒓.

The future belongs to people who can work 𝐰𝐢𝐭𝐡 AI—not hide 𝐛𝐞𝐡𝐢𝐧𝐝 it.

P.S. If you're preparing for PM interviews the right way—not trying to let AI answer for you—I put together a 𝑓𝑟𝑒𝑒 𝑑𝑎𝑡𝑎𝑏𝑎𝑠𝑒 𝑜𝑓 𝑡ℎ𝑒 𝑇𝑜𝑝 50 𝑃𝑟𝑜𝑑𝑢𝑐𝑡 𝑀𝑎𝑛𝑎𝑔𝑒𝑟 𝐼𝑛𝑡𝑒𝑟𝑣𝑖𝑒𝑤 𝑄𝑢𝑒𝑠𝑡𝑖𝑜𝑛𝑠 used by Tier 1 companies like Meta, Google, Amazon, Microsoft, and OpenAI.

It's designed to help you build the thinking process that actually gets offers.

Get the interview database here www.pmaccelerator.io/50FAANG

#ProductManagement #PMAccelerator #InterviewTips #CareerGrowth

1 week ago | [YT] | 0

Dr. Nancy Li - Director of Product

𝐀𝐥𝐞𝐱 𝐰𝐚𝐬 𝐚 𝐒𝐞𝐧𝐢𝐨𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫. 𝐓𝐡𝐞𝐧 𝐡𝐞 𝐠𝐨𝐭 𝐥𝐚𝐢𝐝 𝐨𝐟𝐟.
A few months later, he accepted an 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫 offer at 𝐍𝐕𝐈𝐃𝐈𝐀.

What changed?

It wasn't another certification.
It wasn't networking.
It wasn't sending out hundreds of resumes.

It was 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.

When Alex started looking for AI PM roles, he quickly realized something:

His years of PM experience weren't enough.

Hiring managers weren't just looking for experienced PMs anymore.

They wanted proof that candidates could actually build AI products, make AI product decisions, and work with AI engineers.

So Alex decided to close that gap.

He joined our AI PM Bootcamp, built real AI products with cross-functional teams, and learned exactly what AI PM hiring managers evaluate during interviews.

That completely changed his interviews.

Instead of talking about AI theoretically, he could explain real product decisions, trade-offs, experiments, and outcomes from firsthand experience.

That experience helped him land an AI PM role at 𝐍𝐕𝐈𝐃𝐈𝐀.

If you're trying to break into AI Product Management, here's my biggest takeaway:

𝐃𝐨𝐧'𝐭 𝐰𝐚𝐢𝐭 𝐮𝐧𝐭𝐢𝐥 𝐲𝐨𝐮 𝐟𝐞𝐞𝐥 "𝐫𝐞𝐚𝐝𝐲." 𝐁𝐮𝐢𝐥𝐝 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐫𝐞𝐚𝐥.

That's exactly what I'll be teaching in my 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 on 𝐉𝐮𝐥𝐲 𝟕 & 𝟖 𝐚𝐭 𝟖:𝟑𝟎 𝐏𝐌 𝐄𝐒𝐓.

We'll cover:
✅ How to position yourself for AI PM roles—even without AI experience
✅ Why most AI side projects don't impress hiring managers
✅ The skills companies actually look for when hiring AI PMs
✅ How to gain the kind of experience that gets interviews

If you're serious about becoming an AI PM, I'd love to see you there.

SAVE YOUR SEAT NOW www.pmaccelerator.io/AIPM

Know someone who was recently laid off or is looking to transition into AI PM? Share this post with them. It could change their career.

#ProductManagement #AIProductManagement #PMAccelerator #AIPMBootcamp

1 week ago | [YT] | 4

Dr. Nancy Li - Director of Product

𝐖𝐡𝐢𝐜𝐡 𝐣𝐨𝐛𝐬 𝐛𝐞𝐜𝐨𝐦𝐞 *𝐦𝐨𝐫𝐞 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞* 𝐚𝐬 𝐀𝐈 𝐠𝐞𝐭𝐬 𝐛𝐞𝐭𝐭𝐞𝐫?

Here are 7 that stand out:

𝟏. 𝐇𝐢𝐠𝐡-𝐧𝐞𝐭-𝐰𝐨𝐫𝐭𝐡 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐚𝐝𝐯𝐢𝐬𝐨𝐫𝐬
When someone is making decisions about millions of dollars, they're not looking for the smartest chatbot.

They're looking for someone they trust.


𝟐. 𝐇𝐢𝐠𝐡-𝐭𝐢𝐜𝐤𝐞𝐭 𝐬𝐚𝐥𝐞𝐬 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬
Whether it's enterprise software, luxury cars, or executive education, large purchases are emotional as much as they are logical.

People still want to negotiate, ask questions, and build confidence with another human.


𝟑. 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐨𝐰𝐧𝐞𝐫𝐬
AI won't replace entrepreneurs.

But entrepreneurs who know how to use AI will have a huge advantage over those who don't.


𝟒. 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬
AI is becoming an incredible assistant for doctors and nurses.

But when it comes to diagnosis, treatment, and life-changing decisions, human judgment still matters.


𝟓. 𝐒𝐤𝐢𝐥𝐥𝐞𝐝 𝐭𝐫𝐚𝐝𝐞𝐬
Plumbers. Electricians. HVAC technicians.

Robots may eventually help, but the real world is messy and unpredictable. These jobs require hands-on problem solving that AI still struggles with.


𝟔. 𝐆𝐫𝐞𝐚𝐭 𝐭𝐞𝐚𝐜𝐡𝐞𝐫𝐬 𝐚𝐧𝐝 𝐜𝐨𝐚𝐜𝐡𝐞𝐬
AI is an amazing tutor.

But helping someone reach the top 1% requires more than information—it requires mentorship, accountability, and experience.

Knowledge is everywhere.

Wisdom isn't.


𝟕. 𝐀𝐈 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬
Someone has to decide 𝐰𝐡𝐚𝐭 𝐀𝐈 𝐬𝐡𝐨𝐮𝐥𝐝 𝐛𝐮𝐢𝐥𝐝, 𝐰𝐡𝐲 𝐢𝐭 𝐬𝐡𝐨𝐮𝐥𝐝 𝐞𝐱𝐢𝐬𝐭, 𝐚𝐧𝐝 𝐡𝐨𝐰 𝐢𝐭 𝐜𝐫𝐞𝐚𝐭𝐞𝐬 𝐯𝐚𝐥𝐮𝐞 𝐟𝐨𝐫 𝐮𝐬𝐞𝐫𝐬.

AI doesn't magically create great AI products.

People do.


One thing connects every role on this list:

They're not valuable because they compete 𝐚𝐠𝐚𝐢𝐧𝐬𝐭 AI.

They're valuable because they know how to work 𝒘𝒊𝒕𝒉 AI while providing something technology can't easily replicate—trust, judgment, leadership, and real-world expertise.

If you're interested in becoming an AI Product Manager, your resume is often the first thing standing between you and an interview.

I've put together a 𝐟𝐫𝐞𝐞 𝐀𝐈 𝐏𝐌 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 that's already been used by 𝟏𝟎,𝟎𝟎𝟎+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐫𝐬 to improve their resumes.
👉 www.pmaccelerator.io/ai-product-manager-resume

Which profession do you think will become more valuable because of AI?

#ProductManagement #AIProductManagement #PMAccelerator #AIPMBootcamp

1 week ago | [YT] | 0

Dr. Nancy Li - Director of Product

I took my U.S. citizenship exam last week.

And I passed. 🇺🇸

My oath ceremony is scheduled for July.

It still feels surreal.

It took me 11 years to get a green card, then another 6 years to become a U.S. citizen.

Seventeen years of paperwork, policy changes, approvals, delays, uncertainty—and many moments when I had no idea what would happen next.

And truthfully, part of me feels sad about giving up my Chinese citizenship. China will always be part of who I am.

But becoming a U.S. citizen matters deeply to me because it gives me a path to help my parents spend more time with my children and me. I will share more about that story another day.

For now, I want to share the biggest lesson these 17 years taught me:

𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥.

I could not control immigration policies, processing timelines, changing requirements, or delays.

But I could control what I did while I waited.

I could keep building my career.
Keep learning.
Improve my English.
Expand my network.
Take on bigger challenges.
Become ready when the next opportunity comes.

That lesson feels especially relevant right now.

The job market is changing. Hiring requirements are changing. AI is changing how companies operate—and which jobs they need.

Some people are being laid off. Some roles are disappearing. Some hiring managers are raising the bar higher than ever.

It is easy to feel discouraged when so much is outside your control. But your future cannot depend on conditions being perfect.

You cannot control the market, a hiring freeze, how many people apply for the same role, or whether AI changes your current job.

𝐁𝐮𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐲𝐨𝐮 𝐚𝐝𝐚𝐩𝐭.

You can build skills that make you harder to replace.

You can learn how to use AI instead of avoiding it.

You can create proof of your abilities through projects, portfolios, leadership, and real business impact.

Big dreams often take longer than expected.

But longer does not mean never.

The people who eventually get there are not always the ones with the smoothest path. They are the ones who keep moving forward when the path becomes uncertain.

So do not let one rejection, one layoff, or one difficult season convince you that your goal is impossible.

Adapt.
Learn.
Build.
Keep going.

Focus on what you can control—and let consistency carry you through everything you cannot.

Seventeen years later, I am still pursuing bigger dreams. I hope you are too.

What is one goal you are still pursuing, even though the path has been harder or longer than expected?

Share it in the comments. I would genuinely love to cheer you on.

If you are navigating visas, sponsorship, immigration uncertainty, or building a career in the U.S. as an immigrant, follow along. I will share more of my journey, lessons, and career perspectives.

#Visa #ProductManagement #AIProductManagement #PMAccelerator

2 weeks ago | [YT] | 12