016 Networking in the AI Job Market

🎧 Listen to this episode on Apple Podcasts, Spotify, or your favorite platform.

Your Network Is Career Infrastructure in the AI Era

We often treat networking like emergency equipment: something we hope is nearby when a layoff hits but rarely inspect while work feels stable.

For product managers, UX designers, and other digital professionals, a network is not merely a list of people who might know about a job opening. It is a community of people who understand how we think, how we work, and what we can contribute when a résumé cannot tell the full story.

In our conversation with Shane Ward, Manager of Product Design at Storable, he discusses how hiring practices are changing, AI is altering what employers value, and job seekers are navigating crowded application pipelines. Yet the most durable career advantage may still be human: trusted people willing to advocate for one another.

Hiring Has Changed, but Trust Still Shortens the Distance

From Shane’s perspective as a hiring manager, being current matters more than presenting a museum of past work.

Tools can be learned quickly. AI gives more people access to information and production capabilities. What becomes more revealing to hiring managers is how someone finds answers, experiments with new workflows, and applies those tools to meaningful problems.

A portfolio may now need to answer a newer question: What can you do now that you could not do before?

For us, that means showing the delta:

• How did AI improve your research, ideation, testing, or delivery?
• What judgment did you apply rather than delegate?
• What became faster, clearer, or more valuable?
• Where did you decide not to use AI?

Shane also described going to his network first when hiring for open positions because trusted connections reduce uncertainty.

“Your network is your community.” — Shane Ward

A referral is not magic, but it does reveal something an application often cannot: if another human is willing to attach their credibility to yours.

A Layoff Needs Empathy Before It Needs a Reframe

When we experience a layoff or are talking to a friend who has been laid off, it is easy to turn career advice into forced optimism.

Losing a job can bring grief, anger, fear, and rejection sensitivity. Telling someone to “stay positive” before acknowledging that reality can make useful advice feel hollow.

In our conversation, I offered one reframe: AI did not independently decide to eliminate a role. A human made a decision using a set of priorities, incentives, and assumptions. That does not make the experience hurt less, but it can return some agency to the person affected.

A layoff can eventually become a moment to ask:

• Do I want another version of the same role?
• Which parts of product or design work give me energy?
• Where do I want deeper expertise?
• What can I build or learn while deciding what comes next?

The word “eventually” matters, because reflection is useful after we make room for the emotional reality.

“The rejection sensitivity that happens during a time like when I was laid off can feel like being stabbed with 1,000 toothpicks.” — Metsy Rose

Career resilience is not pretending the toothpicks do not hurt. It is learning how to keep one difficult interaction from defining the next one.

Community Is Built Through Repeated Contribution

Networking becomes transactional when we only appear with an urgent request.

J shared the perspective of someone who has spent decades building professional communities. Community leaders understand why people arrive after a layoff asking for help. The problem begins when the relationship is framed as a service counter: I showed up, so where is my job?

A better opening is honest and reciprocal:

“I’m new here. I need to rebuild my network. How can I help?”

“Community is showing up on a regular basis.” — J Schuh

Showing up does not require heroic extroversion. It can mean volunteering, sharing an opportunity, welcoming someone new, making an introduction, or attending often enough that people learn what you care about.

The goal is not to collect favors. It is to participate in an ecosystem where help can move in every direction.

Quality Beats Contact Count

A large network can create reach. A smaller circle of trusted relationships creates advocacy.

Shane emphasized “quality over quantity.” The people most able to recommend us are usually the people who have seen our work, our character, and our response when something becomes difficult. They can describe us with specificity because they know more than our title.

A better networking metric than connection count is this:

How many people could explain the kind of problem you solve well?

We can strengthen that clarity by sharing work in progress, discussing decisions rather than only outcomes, and staying connected after a project or job ends.

Networking Is Practice for the Next Role

Many of us think networking is a separate career chore, but it is also rehearsal for the work itself.

A new product or design role often requires us to enter an unfamiliar environment, understand new people, and build trust quickly. You can reframe networking as tied to the work you do, because networking exercises those same muscles.

For people who feel socially anxious, success can be made deliberately small. Before entering an event, I sometimes define success as one positive interaction, like "success tonight is a genuine connection with one new person." For me, that reduces tension and changes the evening from “work the room” to “find one human moment.”

Introverts may have an advantage here. Listening well, asking useful questions, and being genuinely curious can create stronger connections than a polished personal pitch.

AI Can Inform You. People Can Advocate for You.

AI can help us research a company, sharpen a portfolio, practice interview questions, or explore a career path. It can surface options quickly.

It cannot replace the function of a human network.

“AI is not going to tell your story to a potential employer. AI is not going to vouch for you as a human.” — J Schuh

People can challenge our assumptions, provide context about an organization, notice strengths we understate, and offer honest feedback that an agreeable tool may avoid.

Information helps us prepare. Community helps us be seen.

Questions for Reflection

1. Who in your network understands not only what you do, but how you create value?
2. How are you contributing to professional communities when you do not urgently need something?
3. What would a manageable, authentic networking habit look like for your personality and energy level?

Key Takeaways

• Current capability and adaptability matter when tools and workflows change quickly.
• A layoff can create space for reflection, but empathy should come before reframing.
• Real networking is reciprocal participation, not emergency outreach.
• Deep relationships create stronger advocacy than a large contact count alone.
• AI can provide information, while people provide trust, context, and endorsement.

Final Thoughts

In a job market shaped by AI filters, shifting roles, and enormous application volume, it is tempting to respond by optimizing every document and learning every new tool.

Those things may help, but they are not the whole answer.

Our careers are also carried through relationships: the people who recognize our strengths, tell us the truth, open a door, or remind us that one rejection is not the entire story.

Build current skills. Show the value you create. Use AI thoughtfully.

Then keep showing up for people.

Listen to Episode 016 of Pixels & Priorities, share your own experience with career community, and join us in building the kind of network that remains valuable long after a job title changes.

– Metsy
Co-host, Pixels & Priorities

Stay Connected

🎧 Listen to new episodes every Tuesday on Apple Podcasts, Spotify, or your favorite podcast platform. Please leave us a rating, submit a review, and share with a friend. It helps more people find the show and join the conversation.

Connect on LinkedIn: Metsy Rose | J Schuh | Pixels & Priorities