Earlier this month, I headed to San Francisco for The AI Conference 2025. The event brought together some of the sharpest minds in the field, including researchers, founders, and executives shaping how AI is applied today. My focus wasn’t just on the technology itself, but on what it means for the workforce and the companies we support.
The experience exceeded my expectations. I came back with fresh insights into where AI is headed and a clearer vision of how people and technology will continue to evolve together. The conference delivered valuable insights that every employer and hiring leader should be paying attention to. In this post, I’ll share a few highlights and takeaways that stood out most.
Cutting Through the Hype
One of the most impactful sessions came from Rodney Brooks (Co-Founder & CTO of Robust.AI), who walked us through decades of AI hype cycles. His perspective was simple but important: every few years, there’s a rush of excitement about what AI will do, followed by a reality check when the tech can’t live up to the inflated promises. This time feels different, but that doesn’t mean companies should get swept away in the buzz.
Rodney also highlighted how robotics is entering what he called a “golden age.” With cheaper hardware and advances in AI, robots are already being deployed in warehouses and manufacturing. Instead of replacing workers, they’re being used to ease physical strain and boost productivity. His message was clear, fully automated factories are still years away. For now, companies should focus on hybrid systems where people and robots work side by side.
Why AI Efforts Fall Short
Another session that stuck with me was led by Garth Andrus (Global Leader, Digital
AI & Organization Transformation at Andersen Consulting), who explained why so many AI projects never deliver the results leaders expect. It usually isn’t the technology itself that fails, it’s the people’s side. Companies don’t invest enough in reskilling, they don’t clean up their data practices, or they underestimate how much organizational change is required.
Garth shared that 70 to 80 percent of AI projects underdeliver, and not because the models are bad. The real blocker is that most organizations are still running on structures that were never designed for AI. Outdated org charts, siloed IT teams, and rigid roles actively resist change. His argument was that leaders don’t need to reinvent their companies from scratch, but they do need to “rewire” how decisions get made and how people collaborate with machines.
New Frontiers in AI Talent
One of the biggest conversations at the conference centered on Agentic AI (autonomous agents) and Embodied or Physical AI (machines interacting with the real world). These areas are still early, but they’re gaining serious momentum. And from a talent perspective, they represent the next wave of roles companies will be competing for.
Think about it — five years ago, most organizations weren’t hiring for AI prompt engineers or model trainers, yet today those roles are everywhere. The same shift is coming with agent orchestration specialists, physical AI designers, and engineers who can bridge the gap between algorithms and the real world. Companies that start building awareness now will be better positioned when demand for these skills accelerates.
People + AI, Not People vs. AI
If there was one theme that came up in almost every conversation, it was the workforce impact of AI. The takeaway from every session was the same, AI isn’t here to replace people. Instead, it’s reshaping how people work, creating opportunities for collaboration that can actually make teams stronger.
This was encouraging to hear because it lines up with what we already believe at Blue Signal. The organizations that succeed will be the ones that invest in their people, teach them how to use new tools, and create environments where humans and AI complement one another. Reskilling, upskilling, and change management aren’t buzzwords, they’re survival strategies.
Closing Thoughts
Looking across these sessions, a few themes stood out that every employer should pay attention to:
- You don’t need to overhaul your entire workforce overnight. The companies that succeed will balance urgency with realism, grounding their adoption strategies in what’s possible today while planning for what’s coming next.
- Hiring technical talent is critical, but it isn’t enough. Too often, we see organizations bring in top engineers or data scientists only to have progress stall because teams weren’t reskilled or cultures weren’t ready to adapt. AI isn’t just a technology shift, it’s an organizational one.
- New roles are on the horizon. Just as “prompt engineer” barely existed a few years ago, the rise of agent orchestration specialists, physical AI designers, and other emerging positions isn’t far off. Employers who start planning for these skills now will be better prepared when demand takes off.
And finally, everything kept circling back to people. Technology may be moving fast, but people remain at the center of innovation. The real challenge isn’t deciding whether to adopt AI, it’s figuring out how to bring your workforce along for the journey. Organizations that invest in reskilling, upskilling, and collaboration will be the ones that unlock AI’s full potential.
I want to thank The AI Conference for creating such a valuable space for these conversations. For employers, that means now is the time to start planning for the skills your teams will need and how you’ll find that talent. That’s where Blue Signal can help.
About Brent Stokes
Brent Stokes is the Director of AI Strategy & Recruiting at Blue Signal Search. He specializes in connecting companies with top talent across emerging technologies, with a focus on AI-driven roles. Brent partners with organizations to navigate workforce changes and build teams that are ready for the future of work.
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