Physical AI is moving from innovation to real-world deployment. But developing the technology is only half the challenge. The next step is taking it to market.
The latest edition of The Edison Edge, Edison Smart’s quarterly technology and talent publication, explores the rapidly evolving Physical AI market and the Go-to-Market talent helping businesses turn technical innovation into commercial growth.
From robotics and defence technology to autonomous systems, Edge AI and AI-enabled hardware, Physical AI businesses are entering a new stage of growth. As technologies mature and move beyond research and development, organisations need more than world-class engineers. They need the commercial leadership and specialist Go-to-Market talent capable of building markets, winning customers and scaling businesses.
In The Edison Edge Q3 2026, we explore what that means for the Physical AI talent market, where demand is developing and why California and Texas are becoming increasingly important hubs for the sector.
What is Physical AI?
Physical AI describes artificial intelligence that can perceive, understand and interact with the physical world.
Unlike purely digital AI applications, Physical AI combines artificial intelligence with hardware, sensors, robotics and autonomous systems to enable machines to operate within real-world environments.
This includes technologies across:
- Robotics
- Autonomous systems
- Defence technology
- Edge AI
- AI-enabled hardware
- Intelligent machines and automation
Investment and innovation across these markets are creating new opportunities, but they are also changing the skills businesses need to successfully commercialise their technology.
For organisations moving from R&D into deployment, the question is increasingly shifting from “Can we build it?” to “How do we scale it?”
That is where Go-to-Market talent becomes critical.
Why Go-to-Market talent matters in Physical AI
Technical talent will remain fundamental to the growth of Physical AI, but as companies move towards commercialisation, Go-to-Market hiring is becoming an increasingly important part of the equation.
Physical AI businesses need people who can understand complex technology while communicating its commercial value to customers, investors and partners.
That is creating demand across areas including:
- Executive and C-suite leadership
- Commercial and enterprise sales
- Business development
- Go-to-Market strategy
- Technical sales
- Product leadership
For startups and scale-ups in particular, these hires can have a significant impact on the next stage of growth.
The strongest candidates often need to operate at the intersection of technology, product and commercial strategy, particularly when selling products that are creating entirely new categories or changing established markets.
From R&D to real-world deployment
In this edition of The Edison Edge, we hear from Ivan Rulik, Senior Software & Hardware Engineer at Lightspeed, about taking Physical AI from research and development into real-world deployment.
Ivan shares his perspective on changing skills requirements within the industry, the challenges organisations face as technology moves into real environments and where he sees some of the biggest opportunities emerging.
His insight reflects a wider change across the Physical AI market.
As products move from prototype to production, businesses require teams capable not only of developing sophisticated technology, but also deploying, supporting and commercialising it at scale.
AI adoption, growth and the next opportunity
We also speak to Jones Madruga, VP of Engineering at Mal, who shares his perspective on AI adoption and the challenges businesses are facing as the technology continues to evolve.
Jones explores where organisations are encountering barriers to adoption, how the market is changing and where he expects to see opportunities for growth over the coming years.
Together, these perspectives highlight an important point for businesses operating across AI and advanced technology: innovation alone does not guarantee adoption.
Businesses need the right technology, the right market and, crucially, the right people to connect the two.
California and Texas are becoming key Physical AI hubs
The United States continues to be one of the most important markets for AI, robotics and Physical AI talent, but growth is not happening evenly across the country.
Two markets in particular stand out: California and Texas.
California remains a major global technology ecosystem, with deep networks across AI, robotics, autonomous systems, venture capital and engineering.
Texas, meanwhile, continues to develop as a significant technology and infrastructure market, supported by investment, business migration and a growing talent ecosystem.
For Physical AI businesses considering where to establish or expand their operations, location has a direct impact on talent availability, competition, compensation and hiring strategy.
Understanding these regional differences will become increasingly important as demand for specialist Physical AI and Go-to-Market professionals grows.
What does this mean for Physical AI hiring?
For employers, the growth of Physical AI creates both opportunity and competition.
Specialist talent is already highly sought after across AI, robotics, autonomous systems, defence technology and advanced hardware. As more businesses move towards commercialisation, competition is likely to extend further into sales, business development, product and executive leadership.
Hiring strategies therefore need to consider more than individual vacancies.
Businesses need to understand:
Where is the relevant talent located?
Which industries are competing for the same people?
What compensation does the market expect?
Which skills are genuinely transferable?
When should Go-to-Market hiring begin?
How can businesses attract people when the technology or category is still emerging?
For candidates, this evolution is also creating opportunities to apply commercial and technical expertise within some of the fastest-developing areas of technology.
Read The Edison Edge Q3 2026
The Q3 2026 edition of The Edison Edge brings together market insight, industry perspectives and recruitment expertise to explore the next stage of Physical AI growth.
Inside, we look at:
- The rise of Physical AI and where the market is heading
- Why Go-to-Market talent matters as businesses scale
- Robotics, Defence Tech, Autonomous Systems, Edge AI and AI-enabled hardware
- Physical AI growth across California and Texas
- Insight from professionals working directly within the market
- What these developments mean for hiring and talent strategy
And the readership is growing too.
Readership of The Edison Edge has increased by 41% since our first edition, reflecting the growing appetite for practical insight into the technology and talent markets shaping the future.
Physical AI recruitment with Edison Smart
Edison Smart works with technology businesses across the globe to identify specialist talent within fast-growing and emerging markets.
Across Physical AI, robotics, defence technology, autonomous systems, AI-enabled hardware and related technology markets, our consultants work closely with clients and candidates to understand how hiring requirements are changing as businesses grow.
With teams and networks spanning the UK, USA, UAE and international markets, we combine specialist recruitment expertise with market insight to help organisations understand where talent is, what it costs and how to attract it.
Want to understand what the Physical AI talent market means for your business?
Read The Edison Edge Q3 2026 for the latest insight, or speak to Edison Smart about your hiring plans.
