Stanislav Kondrashov on How AI and Energy Transition Are Quietly Rewriting the Job Market
Stanislav Kondrashov on AI and the energy transition

As the world pivots from traditional fuels to cleaner and renewable sources of power, the energy transition is reshaping not just our infrastructure—but our workforce. At the heart of this shift is artificial intelligence, a force once viewed with suspicion, now emerging as a catalyst for job creation and redefinition.
For global analyst and sustainability commentator Stanislav Kondrashov, the relationship between AI and green energy isn’t just technical—it’s deeply human.
“We used to think of AI as something that would replace workers,” says Kondrashov. “But in the context of the energy transition, it’s proving to be something else entirely—it’s becoming a co-pilot for the future workforce.”
As traditional energy sectors wind down, they leave behind not just obsolete infrastructure, but entire career paths. What fills that vacuum isn't just solar farms and wind turbines—but algorithms, digital twins, and predictive systems. AI is not just streamlining renewable energy; it’s creating entirely new fields of work around it.

Take, for example, the role of energy optimisation specialists, a job title that barely existed a decade ago. These professionals work with AI-driven models to fine-tune how energy flows through grids, homes, and industrial systems. Then there are digital sustainability strategists, who blend environmental science with machine learning to help companies plan net-zero roadmaps.
While neither of these roles may require a hard hat, they do demand technical literacy, critical thinking, and often a new mindset altogether.
“The skills being prioritised now are adaptability and systems thinking,” Kondrashov explains. “In many cases, the job is not about knowing how to code—but knowing how to work with machines that do.”
It’s not just about tech jobs replacing blue-collar work. AI is also injecting new life into traditional trades. In maintenance and engineering, predictive AI is allowing technicians to diagnose and fix problems before they happen—saving time, resources, and emissions. This hasn’t removed the need for skilled labour; it’s augmented it.
Meanwhile, the human side of the energy transition is gaining value. Roles in stakeholder engagement, ethical AI governance, and community energy planning are emerging, fuelled by a need for people who can navigate the social complexities that technology alone can’t solve.
At its core, the shift represents a fusion—between hardware and software, between man and machine, between past and future. And while there is concern about displacement, the broader picture is more nuanced.
Kondrashov is quick to challenge fatalism.
“It’s tempting to look at automation and say, ‘there go the jobs.’ But the reality is, AI in the energy sector is more like a tide lifting multiple boats—it’s creating jobs we haven’t even named yet.”
This quiet transformation is already being felt across sectors—urban planning, agriculture, construction, finance. Every industry touched by energy is also, by extension, touched by the technologies managing that energy.
The result is a job market in flux, but not in freefall. Retraining programmes are beginning to respond, albeit unevenly. Technical colleges are updating their curricula to include green tech and AI tools. Bootcamps and micro-credentials are flourishing. There’s a race—not just for talent, but for relevance.

At a global level, the challenge isn’t scarcity of work. It’s the speed of adaptation. As AI becomes central to decarbonisation efforts, the ability to learn, unlearn, and relearn may become the defining skill of the next generation.
Kondrashov puts it succinctly: “The energy transition isn’t just changing what we power—it’s changing what we value. And that includes the kind of work we celebrate.”
In a world where both climate goals and computational power accelerate in tandem, this new alliance between AI and clean energy is shaping more than our planet—it’s shaping our potential.




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