How I’m using AI to build healthier cultures and stronger companies

When I look at what’s happening in technology right now, I feel a real sense of momentum.

Not because change is new in this industry, but because the speed and scale of change feels different. AI is moving quickly, and it’s already touching almost everything.

For people leaders, that can create both excitement and uncertainty at the same time.

For me, the biggest shift is that AI is creating something HR teams don’t often get enough of: space.

Space to move away from repetitive, reactive, administrative work. Space to elevate HR so we can operate at a more strategic level. And space to focus on the work that actually moves the needle for the business and for employees.

That doesn’t mean this moment is simple. We’ve been through a lot in tech in the last few years, and trust is fragile.

The way we introduce and manage change matters more than ever.

But I’m optimistic, because I can see how this technology (if we adopt it responsibly) can help us build healthier cultures and stronger organizations.

My journey into HR, and how I think about leadership

I started my career in human resources in Europe, where I worked for quite a few years before relocating to the Bay Area.

When I moved, I essentially restarted my career. I was fortunate that I was able to do that in technology companies, and it’s been an amazing journey.

I’ve seen scale. I’ve seen a lot of change. I’ve led teams in the US and across the globe, and those experiences have shaped how I think about my role.

I like to think of myself as a roll-up-your-sleeves operator who cares deeply about building intentional cultures and providing strategic value to the businesses I operate in.

I’ve worked across multiple sectors, from video gaming to climate, a lot of SaaS, and now AI. And being in the Bay Area, in San Francisco, I feel lucky to be in the middle of this transformation.

I’m constantly hearing from peers, attending events, and learning how other leaders are thinking about the same questions: what do we do with this technology, and how do we bring employees along with us?

What has changed in tech, and why trust is now central

There is a lot of change in tech, but a few trends are particularly important for people leaders.

One is the booming growth of AI. There’s a lot of potential in it, and also a lot of uncertainty around it. Another trend is that money isn’t cheap anymore. Investments are harder to get, and that creates pressure to do more with less.

For leaders, that means we have to be more creative about how we add value, how we structure teams, and how we drive performance.

We’ve also been through turbulence that reshaped how organizations operate. From the COVID period, to working from home and reinventing that playbook, to now trying to optimize for growth that sometimes isn’t tied to headcount growth.

And after several difficult years with layoffs across tech, employees are looking for reasons to trust leadership teams again.

That matters deeply when we talk about AI adoption. AI doesn’t enter a neutral environment.

It enters a workplace where many people are already asking, consciously or subconsciously, “Is this change going to be good for me? Is this fair? Is leadership being transparent?” That’s why change management isn’t a nice-to-have. It’s foundational.

Why AI in HR excites me

I’m excited about AI in HR because it creates space for us to stop being stuck in transactional work and start operating as strategic business partners.

For years, and especially recently, the narrative in many companies has been: do more with less, be careful with budgets, and take on more projects. HR teams often feel that pressure intensely.

AI has the potential to remove a lot of the work that clogs up our day-to-day so we can focus on what’s important. When I say “strategic,” I mean optimizing technology so we can make the best decisions possible, and creating room to work on the big levers of organizational success.

That includes predictive analytics and, crucially, the decisions you make after you analyze the data. It includes creating intentional cultures that help organizations win economically.

It includes leadership coaching and development, succession planning, and leading with clarity, transparency, and empathy so that what you’re building is there to stay and truly supports business results.

I’m genuinely excited about not spending my time, or having my team spend time, crafting job descriptions, writing endless policies, or manually analyzing large data sets.

I want us to move away from reactive administrative work and toward being a much more strategic partner to the business.

And I don’t believe HR teams are going to be replaced by AI. But how we work and the kind of input we bring into organizations is going to change significantly.

How the AI conversation in HR has evolved

Over the last twelve to eighteen months, I’ve seen the conversation shift in clear phases.

In the beginning, AI was almost equal to recruiting automation. We were drafting job descriptions, interview paths, using chatbots and scheduling tools, collecting feedback, and trying to reduce bias to make better decisions.

Then the conversation moved into productivity. New tools supported analytics, performance management, and personalized learning experiences. It started to feel like AI could unlock a real superpower for HR departments.

Now, the conversation is increasingly about responsible adoption. How do we adopt AI in a way that’s clear and transparent to employees? How do we become thoughtful architects not only of systems, but of the emotions in the organization related to AI?

How do we help people move away from fear and skepticism toward the idea that if we embrace this, we can elevate how we operate and do more meaningful work?

We still have to solve challenges. We need clarity on the intention behind implementing these technologies and the potential negative consequences.

We also need to equip employees with AI literacy, and we need to think about how skills evolve if some entry-level work becomes automated.

Leaders, and society, have to create new paths toward fulfilling careers and reduce anxiety by preparing people for what’s coming, because it will likely come faster than we expect.

Privacy, guardrails, and testing in real time

In HR, privacy is a serious consideration. If we integrate employee information into AI systems, we need policies around what kinds of data feed these systems. We need a strong playbook for evaluating vendors and asking the right questions.

We also need to be realistic: humans come with biases, and AI assistants can come with biases too.

That’s why you have to test systems with different groups of employees, understand what’s working and what isn’t, and create clear paths for communication and escalation.

People need space to approach this technology with curiosity and to learn together.

At the same time, organizations must ensure data is protected and not shared outside the company.

These realities will shape the HR tech stack, and I think there’s a high chance that not everything we’re used to today will stay the same. Some tools may even be built internally to better protect privacy and sensitive information.

And the truth is that everyone is learning in real time. We’re testing what works, what doesn’t, what risks show up, and what negative consequences we might not have fully anticipated. That’s exactly why guardrails and openness matter.

What building AI agents taught me about human connection

One of the most practical uses of AI for HR is building agents like chatbots that respond to frequently asked HR questions. It’s an effective way to automate busy work and elevate how HR teams operate.

But what I’ve learned while building these agents is that training people to use them is still deeply human.

The traditional approach (training in person, sitting next to each other, showing how you prompt) works extremely well. That experience makes me even more convinced that human connection is here to stay, and it may become even more important.

AI can prepare a lot of what we need for work, but the delivery done by humans (putting things into context, understanding nuance, and applying judgment) will remain critical.

Where AI is already making an impact for me

I’m only scratching the surface of what’s possible, but three applications stand out as meaningful today.

The first is a chatbot that helps respond to employee questions globally. This improves service and saves time. Robots are never tired, and for international organizations across many countries, it’s powerful to offer support at any time.

People don’t have to wait hours for responses, satisfaction increases, and HR teams experience lower burnout because they can focus on complex, high-touch issues.

The second is data analytics and predictive capabilities. If you feed the right data into systems, you can identify patterns and risks earlier.

You can see who might be at retention risk, who may experience burnout, who is ready for the next role, where signals are emerging in the organization, and what actions are most helpful for specific teams.

This is how HR becomes proactive rather than reactive. When you can partner with the business and say, “This is the trend we’re seeing, and this is the story the data is telling us,” you can address problems before they become large issues and avoid unnecessary headaches.

The third is performance evaluation feedback and learning and development that’s curated to individual needs. AI can help personalize growth and unlock a lot of capability for HR teams.

Personally, I’m also excited about what’s next: using APIs, building the data warehouse behind these capabilities, and working with engineering and data science teams to enhance what AI can do for HR and for organizations overall.

How my role is changing: from culture steward to tech steward

The HR role has evolved dramatically in the last five to six years, and I think it’s going to keep evolving. Today, I don’t see myself only as a culture steward. I also see myself as a tech steward.

That means I need to understand algorithms, data quality, and bias. I need to understand what data we feed into models so we create systems that scale and work and are as free as possible from bias.

And I need to make sure that this technology is used in an ethical and fair way, on top of all the traditional HR responsibilities.

Because of that, I believe the role of HR leaders is becoming even more strategic, and our voice at the table is increasingly important. Many roles are becoming technology-adjacent now, and this is particularly true in HR.

For anyone trying to navigate this shift, I believe the simplest approach is also the most effective: stretch your comfort zone, get your hands dirty, and learn by doing. That’s how I learned.

I rolled up my sleeves, played with the tools, and figured out how to build agents and automate work. I do feel like AI is giving me some superpowers.

I can do more faster, in less time, and even though work is getting more complex, I feel less burned out because I have this technology available.

What could go wrong, and what I watch for

With all the upside, we have to be honest about risks.

One risk is believing AI is neutral. It isn’t. It reflects the data it’s trained on, and data quality matters. Another risk is treating AI output as fact.

You always have to apply human judgment, put output in organizational context, and decide what needs to be adjusted to make it relevant.

A major risk, especially right now, is underestimating how employees perceive AI. If the rollout feels opaque or punitive, it will erode trust.

And because so many employees are already looking for reasons to trust leadership again after layoffs and hard decisions, change management has to be even more carefully crafted.

We need mechanisms to test for bias, and we need open communication. I strongly believe we should lead with curiosity, learn together, adjust what isn’t working, and be willing to say clearly what these technologies can and cannot do.

Open dialogue reduces anxiety, and that kind of transparency is nonnegotiable.

Why I think AI is moving beyond “tools”

I think AI started as a tool. Many of us saw it as helpful and interesting, and then we quickly realized it could make us more productive.

But the way I see it now is shifting fast. I believe we’re moving toward AI becoming an invisible but constant system embedded in everything we do, crafting individualized experiences and helping systems feel less bureaucratic.

I think workplaces can become more intuitive, responsive, and supportive.

I also hope AI creates more space for human touch. I want us to move from “What AI tool did you use today?” to “How is AI enhancing my experience and making it more personal and relevant for me, my team, or my organization?”

That’s where I think the real unlock will be.

I’m passionate about AI in HR, and I’m committed to continuing to learn. I’m also open to learning from others, sharing best practices, and staying in conversation with peers about how we implement responsibly, how we check for fairness and bias, and how we empower teams to operate more strategically.

If there’s one mindset I keep coming back to, it’s simple: lead with curiosity. We’re in for exciting times, and we have an opportunity (especially as people leaders) to shape this transformation in a way that strengthens trust and helps organizations and employees thrive.

This article is based on our chat with Simina Simion on our podcast, which you can find in full here.

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