The Missing Infrastructure: Why Clean Tech Cannot Scale Without Skills

WASHINGTON - OCTOBER 07: Workers complete final preparations on a home designed by a team from the University of Minnesota on the National Mall at The Energy Department's 2009 Solar Decathlon October 7, 2009 in Washington, DC. The Solar Decathlon features 20 university teams building high-tech, high-efficiency solar-powered homes to showcase the latest in green design and technology and "to promote cutting edge green technology, energy efficiency, renewable energy and green jobs." (Photo by Win McNamee/Getty Images)

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The US solar industry just ran out of time. The One Big Beautiful Bill Act gave developers until July 4th to break ground and lock in billions of dollars in federal tax credits. Many scrambled to meet the deadline, accelerating project pipelines and construction schedules across the industry.

But the race exposed a growing constraint: the clean tech skills gap is widening as the supply of qualified workers struggles to keep pace with the speed of deployment. To meet installation targets through 2026, the industry is projected to need roughly 53,000 additional workers. Yet hiring remains a systemic challenge, with 86% of solar employers reporting difficulty filling open positions.1

That challenge extends well beyond solar. As demand for electric vehicles, battery storage, renewable power, grids and industrial electrification rises, so too does the need for skilled workers across the clean tech value chain.

Clean tech leadership is often framed in terms of technology breakthroughs, manufacturing capacity and access to capital. All three matter. But another constraint is becoming just as decisive: whether the skilled workforce can grow as quickly as the technologies scale. Clean tech is projected to attract €5 trillion in annual investment by 2035.2 Solar and wind costs continue to fall. Battery storage is expanding faster than anticipated. Human capital, however, is proving much harder to scale.

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The Workforce Bottleneck

This challenge is unfolding against a much broader transformation of the global labor market. According to the World Economic Forum (WEF), technological change, demographic shifts and the green transition will create around 170 million new jobs globally by 2030, while displacing roughly 92 million.3

Clean tech, however, sits at the sharp end of this transformation. Few industries are trying to deploy so much capital, build so much infrastructure and expand so rapidly against such a constrained skills base. In the US, clean energy employment reached 3.6 million in 2024, growing 12% since 2021. That is three times faster than employment in the broader economy.4 One in every ten new American jobs created since 2022 has come from the energy sector.5

Yet demand is outpacing supply at almost every level. According to the International Energy Agency (IEA), nearly 60% of energy companies now report labor and skills shortages. Between 2018 and 2023, job postings for skilled trades in energy grew by roughly 40% annually; in solar, by 65%. In the US, nearly 30% of union electricians are expected to retire within the decade. On some large-scale projects, companies are bringing in workers from other regions to fill local gaps, adding an estimated 10% to 20% to project costs.6

Europe faces a similar challenge. The European Commission estimates that between 150,000 and 500,000 workers will need to be retrained each year through 2050, while demand for green skills is already growing roughly twice as fast as the pool of workers who possess them.7 8

But the challenge extends beyond numbers. As clean technologies become increasingly digital and interconnected, the skills required to develop, deploy and operate them are also evolving. Success will depend not only on attracting enough workers, but on equipping them with the right combination of industrial, digital and transferable skills to strengthen workforce readiness across the sector.

The Digital Skills Layer

Digitalization is not reducing the need for skilled workers in clean tech; it is changing the skills they need. As automation, digital twins, predictive maintenance and intelligent control systems become embedded across energy infrastructure, companies must compete for digital expertise while simultaneously retraining much of their existing workforce. In a recent WEF survey, 72% of chief strategy officers identified AI and emerging technologies among the forces most likely to shape their businesses over the next five years. For clean tech, however, AI is creating a second talent challenge on top of the existing labor shortage.9

Between 2018 and 2024, AI talent concentration in utilities and energy remained roughly 40% lower than in financial services and technology, while entry-level AI salaries in energy trailed comparable tech-sector roles by around 30%.10

At the same time, demand for digital talent across the energy system is rising rapidly. The WEF identifies AI and big-data capabilities among the fastest-growing skills in energy technology and utilities. In hydrogen, AI-enabled optimization, sensor monitoring and SCADA systems are becoming integral to operations. In wind energy, drone inspections and digital maintenance platforms are reshaping service and maintenance activities.11

The European Commission estimates that AI-enabled optimization could save European energy operators up to USD 110 billion annually by 2035.12 Realizing those gains, however, will require more than a small pool of engineers and data scientists. As digital technologies become embedded across clean tech value chains, digital literacy, automation, AI and cybersecurity are becoming baseline requirements across much of the workforce. The challenge is therefore twofold: attracting specialized talent while equipping a broader workforce for a more data-driven energy system.

The Human Advantage: The Skills AI Cannot Replace

Technology will undoubtedly help address part of the labor shortage. Yet as industries navigate technological, demographic and geopolitical change, competitive advantage will increasingly depend on capabilities that cannot easily be automated. According to the WEF, adaptability, problem-solving, collaboration, leadership and sound judgment are becoming more valuable precisely because they are harder to automate.

Nearly 40% of core job skills are expected to change within the next five years, while almost 80% of employers globally identify reskilling as a critical business priority. Yet only around half consider their workforce proficient in collaboration or creativity, and fewer still in resilience and curiosity.13

Future competitiveness will therefore depend not only on technology adoption, but on building a workforce capable of adapting to continuous change and solving increasingly complex challenges.

That requires thinking less in terms of job titles and more in terms of skills. Battery manufacturing, solar, wind and hydrogen each have distinct value chains, but many of the underlying competencies overlap. Monitoring and diagnostics, automation programming, digital skills and data analysis are not confined to one technology. A technician trained in predictive maintenance for energy storage can move into wind or solar with limited retraining.14

Combined with structured upskilling, thinking in terms of transferable skills rather than static job titles allows workers to move more easily across technologies as markets evolve. That flexibility could prove essential to scaling clean technologies faster and more efficiently.

The Untapped Talent Pool

Yet upskilling the existing workforce will not close the skills gap on its own. The IEA estimates that the number of new entrants into the energy sector will need to increase by around 40% by 2030 simply to prevent skills shortages from widening further.15

Europe’s energy sector is projected to require 3.5 million additional workers by 2030, particularly in roles such as solar PV installation, battery maintenance, grid connections and EV-related technical services.16 17 Yet EU youth unemployment remains above 15%.18 Women represent around 43% of the overall economy but only around 30% of renewable energy jobs, with participation in technical and vocational roles below 20%.19

The challenge is therefore not only to retrain existing workers, but also to create clearer pathways into the sector for the next generation and underrepresented groups. Inclusion is not simply a social objective; it is an economic necessity. Closing the clean tech skills gap without drawing on a broader talent pool is, arithmetically, impossible.

But attracting more people into the sector is only part of the solution. Equally important is ensuring that existing skills can be recognized and put to use more effectively. Europe is already taking steps in that direction. Through the European Digital Credentials framework, qualifications can be verified and recognized across member states, helping workers carry their skills with them.20

Realizing this potential will require alignment across the value chain – from policymakers and employers to training providers and credentialing bodies – to ensure that skills are recognized, portable and aligned with industry needs.

Human Capital As Strategic Infrastructure

The energy transition has long been framed around technology, capital and infrastructure. Increasingly, success will also depend on something less visible but no less fundamental: human capability. The organizations and countries that will lead the next phase of clean tech will be those that treat human capital as strategic infrastructure: planning for it, investing in it and developing it over time with the same discipline applied to factories, supply chains and power grids.

Unlike financial capital, skilled workers cannot be mobilized overnight in response to new policies or investment opportunities. Developing the capabilities needed to build, operate and maintain clean technologies takes years. As governments and companies compete to accelerate clean tech deployment, the limiting factor may prove to be neither technology nor capital, but the people capable of turning both into industrial reality.