TSMC expects to create 40,000 construction jobs and tens of thousands of chip manufacturing and R&D jobs in Arizona in the next four years. Nvidia announced $500 billion in AI infrastructure investments, including production of AI chips in the U.S.-based facilities. Mordor Intelligence notes an 8.94% compound annual growth rate for the U.S. data center storage market through 2030.
Pushing against this planned growth is a fractured ecosystem of equipment manufacturers and skilled workers needed to run data centers and semiconductor facilities effectively. That entire ecosystem has talent gaps, which can hamstring the industry unless there’s a changing narrative about these types of jobs and new practices for finding, training and keeping the right talent. Both industries need to shift, not just from an agility perspective but also regarding innovation and people. Disruption is needed in how fabs and data centers view work and workers.
Part of this disruption is finding better ways to ramp up large volumes of hires with technical and mechanical skills and minimize the associated risks. Nvidia, TSMC and hyperscalers like Amazon Web Services (AWS) or Microsoft and colocation firms like Digital Realty or QTS will go to the traditional avenues for talent acquisition. These avenues include recruiting and working with colleges and universities, but the underlying problems persist. How will these companies build a pipeline of people in the face of an aging skilled workforce and the sheer size of the growth? By adopting new and creative ways to attract and retain talent, such as with a hire-train-deploy (HTD) model, which is a process of recruiting high-potential talent, offering role-specific training, and then placing that talent with companies. Such methods can ensure these facilities have the dynamic workforces they need, even in a talent shortage environment.
Who will run the facilities?
The Semiconductor Industry Association and Oxford Economics developed a market report that detailed a considerable shortfall of skilled U.S. workers by 2030. It estimated growth from 2023 to 2030 of nearly 115,000 jobs, with 67,000 potentially going unfilled. A collective shortage of tens of thousands of workers puts heavy demands on semiconductor fabs and data centers as AI and IoT expansion requires a skilled workforce that can keep pace.
The growth of AI infrastructure and the related power demands require specialized workers who understand how to optimize energy usage and prevent any related disruptions in such high-density and high-heat environments and can design and manage racks that fit with AI training model workloads. Doing all of these specialized and safety-impacting jobs require trained and motivated workers.
This particular approach is really beneficial for semiconductor companies looking to expand their operations. By partnering with Uptime Crew, these kinds of companies can have trained technicians and engineers on-site from day one, that are versed in the specific environments, thus minimizing any downtime and speeding up project timelines.
There’s also considerable growth in the data center sector and the need for related jobs. Real estate giant CBRE tracked a surge in builds in 2024, noting: “Primary markets had a record 6,350 MW (megawatts) under construction at the end of 2024, more than double the 3,077.8 MW at year-end 2023.”
How can these industries meet the demand for skilled workers? By shifting the narratives around many of these roles and changing their training processes to attract enough talent but also the right workers.
The changing manufacturing landscape
Companies and their partners hiring staff for semiconductor and data center facilities can help change the narrative around the required roles. These facilities require exacting standards. They are fascinating mixes of critical components, including precision clean rooms, HVAC for temperature control, fire suppression systems, faultless power backup systems and consistent network connectivity. Data centers and semiconductor fabs need workers for all those tasks and engineers to plan for flexible scalability to support future workloads. They can appeal to cable installers, auto mechanics or HVAC workers who want to use their technical skills to work in an AI-focused and lucrative industry.
Migrating cyber and supply chain risks
Appealing to a broader range of potential workers will help fabs and data center operators to scale and function, and help protect U.S. national security. Advanced semiconductors and data centers are key for healthcare, finance, and defense-related industries, which are all enticing targets for cybersecurity bad actors and frequently impacted by supply chain disruptions. Advanced chips and data are the backbones of the economy. A new combustion engine car has about 1,500 chips and an electric car has over 3,000. Every heart rate monitor and communication device runs on chips.
When a threat emerges to the supply chain and microchips become inaccessible or a data center gets hacked, it disrupts the entire economy. Moving manufacturing to the U.S. and running those facilities with the right labor creates efficiencies in the supply chain, reduces the over-reliance on foreign talent and provides a hedge against supply chain instability and cybersecurity threats.
Adjusting narratives
Attracting new talent groups to bring efficiencies requires fabs and data centers to describe their open positions in new ways. Skilled workers might flock towards AI and software developer roles without seeing that much of the semiconductor and data center growth is related to AI. The fabs are making AI chips, which go into the data centers. These companies can promote how they’re at the front line of AI innovation, providing the chip and compute power to make the AI revolution possible.
Workers need to see the AI-driven positions as growth-oriented, with the considerable demand for chips and data capacity creating fast advancement opportunities. Whether the roles are for process engineers, equipment maintenance technicians, automation engineers or environmental health and safety specialists, prospective workers need to understand growth pathways and how they can gain entry into these roles.
A new training model
Companies like TSMC and Micron are trying to fill the talent gap and attract skilled workers with apprenticeship programs and university collaborations. TSMC’s program supports the firm’s aggressive expansion plans in Arizona. Still, much more is needed if these firms want to hire enough talent to fulfill their ambitious goals.
The HTD model allows for data centers, semiconductors, and equipment manufacturers to find an ideal partner offering talent and training solutions. This partner would work seamlessly with operations departments to develop and train talent in concert with operations’ goals and objectives. This model offers facilities trusted and skilled talent who receive detailed training, creating an on-demand workforce to fuel growth. A training partner will ideally create a safety-first culture by adding safety elements to every facet of training. So, teams will learn about core safety principles that span across all environments and can apply to any site requirements. These could include fire suppression and prevention, usage of personal protective equipment or emergency response protocols, among just a few.
A workforce partner providing all of this specialized training can move risk upstream. Data centers and fabs have limited time to work with potential new hires to understand if they are a good fit. Then, they make a significant commitment by hiring an untested team. Bringing on a training and hiring partner can bring efficiencies; for example, if a data center or fab has a budget to hire 200 people, it can work with a rapid workforce development partner who will bring on board 300 people. The workforce development firm then absorbs that attrition on the front end, providing the client with 200 workers with the skills and enthusiasm that set them up for success.
Workforce development companies can determine whether the worker will conflict with colleagues, whether they can handle overnight or 12-hour shifts, or can manage the constraints of a cleanroom suit. These are considerable personnel-related challenges for setting up a new high-tech manufacturing environment. That’s where a workforce development partner can come in and make the upfront investment.
TSMC’s facility or a new AWS data center isn’t just a collection of concrete, racks and clean rooms; it represents the efforts of thousands of people. For the players in both spaces to excel in the U.S., they need a new narrative and a shift in how they insert the people equation into their growth.
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