Driving Change: A Comprehensive Analysis of Electric Vehicle Workforce Development in Connecticut State Under the Bipartisan Infrastructure Law

Abstract

This study examines Connecticut’s strategic approach to electric vehicle (EV) workforce development within the framework of the Bipartisan Infrastructure Law (BIL) and its National Electric Vehicle Infrastructure (NEVI) program. Amid the U.S. goal to transition to a zero-emission vehicle fleet by 2050, this research investigates whether Connecticut’s current policies sufficiently address the need to reskill automotive mechanics into qualified EV technicians. Using a qualitative case study methodology, semi-structured interviews were conducted with state workforce representatives and analyzed through inductive coding within Kotter’s 8-Step Change Model. Findings reveal that while Connecticut aligns with federal NEVI goals for infrastructure, it lacks a dedicated budget and clearly defined pathways for technician training. Stakeholder collaboration remains fragmented, and efforts to empower workforce transformation are in the early stages. The study concludes that Connecticut risks falling behind unless it integrates a robust workforce development strategy that includes cross-sector partnerships, pilot training programs, and transparent certification pathways. These findings highlight the importance of aligning state-level EV infrastructure planning with human capital development and offer actionable insights for other states navigating similar transitions.

1. Introduction

Due to the growing challenges posed by climate change, multiple intergovernmental organizations have advocated for decarbonization strategies to prevent exceeding critical global warming thresholds of 1.5 °C and 2 °C [1]. The transportation sector remains one of the major contributors to global energy consumption and carbon emissions [2]. Consequently, electric vehicles (EVs) have emerged as an important component of sustainable transportation systems because of their potential to reduce greenhouse gas emissions, improve energy efficiency, and support long-term environmental goals [3]. Beyond environmental considerations, EV adoption is also associated with energy security, reduced dependence on fossil fuels, and technological modernization within the automotive industry [4].

Governments worldwide have introduced various policies and incentives to accelerate the transition from internal combustion engine vehicles to electric vehicles. In China, government subsidy programs have significantly supported EV adoption [5]. Similarly, Thailand has implemented financial incentives and ownership support mechanisms to encourage EV adoption [6]. In the United States, federal incentives such as the Internal Revenue Service (IRS) tax credit program have been introduced to stimulate consumer adoption of electric vehicles [7]. In addition to consumer-focused incentives, the U.S. government enacted the Bipartisan Infrastructure Law (BIL) in 2022 to support the national transition toward transportation electrification through infrastructure investment, policy coordination, and workforce development initiatives [8,9].

1.1. The Biden–Harris Administration’s Vision for Electric Vehicle Infrastructure

In June 2022, the Biden–Harris Administration announced a national initiative to accelerate electric vehicle adoption and expand EV charging infrastructure across the United States [10]. This initiative established a long-term vision for transportation electrification and included a federal investment of approximately $7.5 billion to support the deployment of charging infrastructure and related implementation programs. A major component of this initiative is the National Electric Vehicle Infrastructure (NEVI) program, which allocated $5 billion to support the deployment of EV charging corridors across all 50 states, the District of Columbia, and Puerto Rico [11]. In parallel, an additional $2.5 billion was designated through grant-based programs administered by the Department of Energy to support charging accessibility and infrastructure expansion.

Beyond infrastructure deployment, the federal initiative also emphasized workforce development and job creation associated with the transition to electric mobility. The increasing deployment of EV charging systems and electric vehicle technologies requires a qualified workforce capable of installation, maintenance, diagnostics, and long-term operational support [12]. As a result, workforce preparedness has become an important policy consideration within the broader EV transition process.

1.2. The National Electric Vehicle Infrastructure Program

The NEVI program represents one of the largest federal investments in transportation electrification infrastructure in the United States [13]. Administered collaboratively through the U.S. Department of Transportation and the U.S. Department of Energy, the program requires states to develop strategic deployment plans that support the expansion of EV charging networks and transportation electrification objectives [14].

While NEVI’s primary emphasis has been on infrastructure deployment, the program also underscores the importance of workforce readiness and technical capacity development. Expanding EV infrastructure requires trained technicians, maintenance personnel, and educational systems capable of supporting rapidly evolving electric vehicle technologies. Consequently, workforce development has become increasingly important to ensuring the long-term sustainability and operational reliability of EV infrastructure systems.

However, despite growing national attention to EV infrastructure investment, questions remain about how individual states are preparing existing automotive workforces for the transition to electric mobility. Specifically, limited attention has been directed toward understanding how state-level implementation strategies address technician reskilling, workforce adaptation, and institutional coordination under federally funded EV initiatives.

1.3. Connecticut as a Strategic Case for EV Workforce Transition

Connecticut represents a strategically relevant case for examining workforce preparedness under the NEVI program. The state has demonstrated institutional commitment toward transportation electrification through regional coordination, charging infrastructure planning, and participation in national decarbonization initiatives. However, despite progress in infrastructure planning, uncertainties remain regarding the state’s preparedness to develop a qualified workforce capable of supporting long-term EV maintenance and operational demands.

Connecticut was selected because it reflects a broader national implementation challenge emerging across the United States: the rapid deployment of EV charging infrastructure without equivalent workforce development planning for technician reskilling and upskilling. Although Connecticut’s strategic planning documents emphasize infrastructure deployment and stakeholder coordination, they offer limited clarity on dedicated workforce training budgets, certification pathways, and long-term educational implementation strategies [15].

Furthermore, Connecticut provides a suitable policy environment for examining how governmental agencies, educational institutions, and workforce stakeholders respond to large-scale technological transitions associated with transportation electrification. Therefore, the state offers an appropriate setting for investigating the alignment between EV infrastructure investment and workforce preparedness within the evolving electric vehicle ecosystem.

1.4. Research Gap, Study Contribution, and Research Question

Existing literature on electric vehicles has primarily focused on EV adoption, charging infrastructure deployment, environmental sustainability, consumer behavior, and technological innovation. Other studies have examined educational models and technical training approaches for electric vehicle maintenance. However, limited research has examined how state governments are preparing existing automotive workforces for the large-scale transition toward electric mobility under federally funded infrastructure initiatives such as the Bipartisan BIL and the NEVI program.

More specifically, there remains a significant gap in understanding how state-level implementation strategies address workforce preparedness, technician reskilling, stakeholder coordination, and institutional adaptation during the transition from internal combustion engine vehicles to electric vehicles. While NEVI emphasizes infrastructure expansion, the relationship between charging infrastructure deployment and workforce development readiness remains underexplored in existing literature.

This study contributes to the growing body of EV transition research in several ways. First, it shifts the discussion from infrastructure deployment alone toward workforce preparedness and human capital development. Second, it examines how government implementation strategies influence the reskilling and upskilling of existing automotive mechanics to become qualified EV technicians. Third, the study applies Kotter’s 8-Step Change Model as an interpretive framework to analyze institutional adaptation and stakeholder coordination within the context of transportation electrification policy implementation. Finally, the research provides a qualitative state-level case study that highlights practical implementation challenges in aligning EV infrastructure investment with workforce development planning.

The practical significance of this study lies in its potential to support policymakers, educational institutions, workforce agencies, and industry stakeholders in developing more integrated EV transition strategies. Understanding the institutional and workforce challenges associated with NEVI implementation may help states improve training pathways, stakeholder coordination mechanisms, certification systems, and long-term workforce readiness for electric mobility transitions.

Accordingly, this study investigates the following research question:

What strategies and policy approaches can support the effective reskilling and upskilling of existing automotive technicians during the transition toward electric vehicle technology under the NEVI program framework?

2. Literature Review

2.1. The EV Ecosystem and Workforce Value Chain

The electric vehicle ecosystem extends beyond vehicle manufacturing and consumer adoption to include charging infrastructure deployment, energy systems integration, software technologies, maintenance services, educational institutions, supply chains, and workforce development systems. The successful transition toward transportation electrification depends on coordinating these interconnected sectors to ensure the long-term operational sustainability of EV infrastructure [16].

Within this ecosystem, EV technicians are a critical operational component responsible for vehicle diagnostics, charging infrastructure maintenance, software troubleshooting, battery servicing, and ensuring long-term operational reliability. As EV adoption accelerates globally, demand for qualified technicians capable of servicing increasingly complex EV systems will continue to rise. Consequently, workforce preparedness has become essential to support the scalability, reliability, and operational continuity of transportation electrification initiatives [17].

Previous studies have shown that the development of employment opportunities in electric mobility is influenced by technological advancement, the availability of charging infrastructure, governmental policies, and institutional coordination [16]. Walter et al. further emphasized the economic and employment potential of the transition to electric mobility in the United States [17]. Similarly, Hamilton highlighted the projected expansion of EV-related employment opportunities across manufacturing, maintenance, charging infrastructure, and technical support sectors [18].

Despite growing investments in EV infrastructure deployment, the relationship between infrastructure expansion and workforce preparedness remains underexplored in the literature. Most prior research has focused on EV adoption, environmental sustainability, or charging infrastructure development, while limited attention has been directed toward understanding how workforce development systems support long-term EV implementation strategies under large-scale governmental initiatives.

2.2. Government Policy and Workforce Development in EV Transition

Government policy plays a central role in accelerating transportation electrification by establishing regulatory frameworks, infrastructure investment strategies, financial incentives, and workforce development initiatives. Beyond encouraging EV adoption, governments are increasingly responsible for supporting the institutional transition needed to prepare labor markets for evolving transportation technologies [19].

Chaturvedi et al. emphasized the importance of governmental support for electric vehicle adoption through infrastructure investment and financial assistance [19]. Similarly, Rajagopal highlighted the broader economic implications of EV adoption, including changes in fuel taxation and energy dependency patterns [20]. These transitions require governments to develop coordinated implementation strategies that address infrastructure deployment and workforce preparedness.

The BIL and the NEVI program further illustrate the growing institutional emphasis on workforce readiness within transportation electrification policy. Beyond deploying charging infrastructure, these initiatives aim to support job creation, workforce adaptation, and long-term technical capacity development in the EV sector [12].

Research also underscores the importance of collaboration among governmental agencies, educational institutions, and industry stakeholders to address workforce skill gaps. Yeh et al. demonstrated that partnerships between universities and community colleges can strengthen advanced automotive technology education and improve workforce preparedness for emerging transportation technologies [21].

2.3. Workforce Demand and the Expanding Need for EV Technicians

The growing adoption of electric vehicles has significantly increased demand for qualified technicians capable of servicing advanced EV systems and charging infrastructure. Unlike conventional internal combustion engine vehicles, electric vehicles require specialized technical knowledge of battery systems, power electronics, high-voltage safety, software diagnostics, and charging system maintenance [22].

Myers et al. emphasized the importance of specialized training programs that prepare technicians for the operational complexities of electric vehicles [22]. Similarly, Fechtner et al. identified a growing need for workforce training initiatives to equip technicians with up-to-date technical competencies aligned with rapidly evolving EV technologies [23].

Existing literature further suggests that workforce shortages may become a significant implementation challenge as EV adoption accelerates. Turoń et al. highlighted the importance of educational awareness and specialized pedagogical approaches to support electric mobility transitions [24]. Fechtner et al. also noted that many existing training programs remain academically oriented and insufficiently aligned with the practical needs of experienced automotive professionals transitioning into EV-related occupations [25].

In the United States, educational institutions and workforce systems continue to adapt to evolving industry requirements. However, current research suggests that existing engineering and technical training structures may not fully address the specialized workforce demands of large-scale transportation electrification [26,27].

2.4. Challenges Affecting EV Technician Training and Reskilling

Several institutional, financial, and technical challenges affect the effectiveness of EV technician training initiatives. A major challenge is the complexity and cost of electric vehicle education and technical training. Compared with traditional automotive systems, EV technologies require specialized equipment, safety protocols, diagnostic tools, and updated instructional methodologies [28].

Fechtner et al. reported that EV training programs are often expensive due to the complexity of electric vehicle technologies and the lack of standardized curricula among training providers [28]. Similarly, Fayziyev highlighted operational and organizational challenges associated with EV maintenance and repair systems [29].

Another challenge is adapting existing automotive professionals to emerging EV technologies. Gover et al. emphasized tailoring training programs to the needs and skill levels of current automotive technicians transitioning into hybrid and electric vehicle servicing roles [30]. Huba and Ferencey also stressed the need to develop qualified EV trainers to support workforce transformation processes [31].

These findings suggest that workforce preparedness requires more than technical curriculum development alone. Effective EV workforce transition strategies must also address funding mechanisms, institutional coordination, curriculum standardization, and long-term workforce adaptation policies.

2.5. Existing Training Models and Educational Approaches for EV Technicians

Existing literature identifies multiple educational and training approaches to improve EV technician preparedness. Manufacturing companies and automotive organizations have increasingly developed specialized technical training systems to support EV maintenance and operational reliability. For example, DAF Trucks established dedicated technician training systems alongside investments in charging infrastructure and technical tooling [32].

Research has also explored instructional methodologies for EV education. Zhang and Guo developed specialized fault-diagnosis training platforms for electric vehicle maintenance, while Tang et al. examined remote telemetry and diagnostic systems that support EV maintenance operations [33,34].

Additional educational approaches include simulation-based learning, digital game-based learning, hybrid vehicle educational models, and problem-based learning systems. Fajri et al. demonstrated the effectiveness of small-scale hybrid electric vehicle educational platforms for engineering education, whereas Proulx et al. explored the motivational role of digital game-based learning in technical education environments [35,36]. Similarly, Gonzalez-Rubio et al. highlighted the effectiveness of Problem- and Project-Based Learning (PPBL) approaches in strengthening engineering problem-solving and applied technical competencies [37].

Although these studies contribute valuable insights into EV technician education, limited research has examined how governmental implementation strategies integrate workforce development into broader transportation electrification policies such as NEVI. Consequently, additional research is needed to understand how state-level institutions can align EV infrastructure expansion with long-term workforce preparedness strategies.

2.6. Conceptual Framework

Workforce Transition Within the EV Ecosystem

The transition to electric mobility requires coordinated collaboration among multiple stakeholders across the EV ecosystem, including government agencies, educational institutions, workforce development organizations, industry partners, and current automotive technicians. These stakeholders collectively shape the effectiveness of workforce adaptation and the long-term sustainability of transportation electrification initiatives [16,38].

Within this ecosystem, government agencies play a central role by establishing infrastructure investment strategies, regulatory frameworks, workforce policies, and funding mechanisms for transportation electrification [19,20]. Educational institutions and training providers support workforce adaptation by developing EV-related curricula, certification systems, and technical training programs [21,39]. At the operational level, existing automotive technicians are the workforce group most directly affected by the transition from internal combustion engine technologies to electric vehicle systems [22,28].

The relationships among these stakeholders are interdependent. Governmental policy decisions influence educational funding, institutional coordination, and workforce incentives, while educational institutions shape technician preparedness through curriculum development and technical training [19,21]. In turn, technician adaptation and workforce readiness influence the long-term operational reliability and scalability of EV infrastructure systems [17,23]. Consequently, workforce preparedness is a critical institutional component of the broader EV implementation ecosystem.

Figure 1 illustrates the conceptual relationship among governmental implementation strategies, educational and institutional support systems, and workforce adaptation processes related to EV transition preparedness, using Kotter’s 8-Step Change Model as the interpretive framework [40].

3. Method

This study employed a qualitative research design to investigate governmental and institutional responses to workforce preparedness challenges associated with the transition to electric mobility in Connecticut under the BIL and the National NEVI program framework. A qualitative approach was selected because it enables an in-depth exploration of stakeholder experiences, institutional adaptation processes, workforce development challenges, and implementation perspectives within emerging policy environments [41,42].

The study focused on governmental and workforce-related stakeholders because governmental agencies are central actors responsible for coordinating infrastructure investment strategies, workforce development initiatives, educational collaboration, and long-term transportation electrification implementation policies. The qualitative design further supported the examination of institutional coordination, preparedness for workforce transition, and stakeholder perceptions regarding EV workforce development in Connecticut.

3.1. Participants and Participant Selection

Qualitative data were collected through semi-structured interviews with stakeholders directly involved in workforce development, transportation electrification planning, and EV implementation initiatives in Connecticut. A purposive sampling strategy was used to identify participants with direct professional involvement in workforce planning, educational coordination, infrastructure implementation, or EV-related institutional activities [43].

The study included interviews with representatives from governmental workforce organizations, educational institutions, and EV-related implementation stakeholders. Participants were selected based on:

• Professional involvement in EV workforce development initiatives;
• Institutional knowledge of NEVI implementation processes;
• Direct experience with transportation electrification planning;
• Participation in workforce preparedness or educational coordination activities.

A total of eight participants were formally interviewed during the study. Two additional potential participants were contacted but declined to participate due to scheduling constraints and institutional availability limitations. Semi-structured interviews were selected for their flexibility in exploring participant perspectives while maintaining consistency across interview sessions [44].

The participant recruitment process incorporated elements of the Delphi-informed consultation approach to improve the selection of participants with relevant expertise. Initial stakeholder identification was based on institutional role relevance and involvement in workforce implementation. Subsequent participants were selected based on their professional expertise and relevance to the research objectives. However, unlike a traditional Delphi study aimed at measuring consensus, this research used Delphi-informed participant selection principles to strengthen participant appropriateness and institutional representation [45].

3.2. Data Collection and Pilot Testing

Data was primarily collected through semi-structured interviews conducted between March and May 2024. Semi-structured interviews were selected because they support detailed exploration of institutional experiences, workforce adaptation challenges, and implementation perspectives while allowing for comparability across participants [46].

The interview protocol was developed through a multi-stage process informed by the existing literature on EV workforce development, transportation electrification, workforce preparedness, and change management implementation. Initial interview questions were reviewed and refined through supervisor feedback and methodological evaluation to improve clarity, relevance, and alignment with the research objectives.

Ethical approval for the study was obtained from the Institutional Review Board (IRB) on 27 February 2024. All participants were informed of the study objectives, confidentiality protections, voluntary participation rights, and data usage procedures before participating [47,48].

Pilot testing was conducted with two Ph.D. students experienced in qualitative research methodologies and transportation-related policy studies [49]. The purpose of pilot testing was to:

• Evaluate question clarity;
• Assess interview structure and sequencing;
• Identify ambiguous terminology;
• Estimate interview duration;
• Improve the effectiveness of questions in eliciting detailed participant responses.

Feedback obtained during pilot testing resulted in minor revisions to question wording, interview sequencing, and clarification prompts before full-scale data collection commenced.

3.3. Data Analysis Procedures

This study employed inductive thematic analysis to analyze qualitative interview data. Inductive coding was selected because it allows themes, patterns, and categories to emerge directly from participant perspectives without imposing predetermined theoretical assumptions [50].

All interviews were audio-recorded with participant consent and transcribed verbatim. The transcripts were subsequently reviewed and cleaned to improve accuracy and consistency before analysis. Following transcript preparation, the qualitative data were imported into NVivo 14 software (Lumivero, Denver, CO, USA) to support coding organization, category development, and thematic analysis procedures [51,52].

The coding process occurred through multiple stages. First, open coding was conducted to identify meaningful statements, concepts, and recurring ideas within the interview transcripts. During this stage, the data were disassembled into smaller analytical units representing workforce challenges, institutional coordination issues, educational adaptation processes, stakeholder collaboration, and EV workforce preparedness concerns.

Second, related codes were grouped into broader analytical categories based on conceptual similarities and recurring implementation patterns. Third, categories were reassembled into higher-level themes representing broader institutional and workforce transition dynamics associated with EV implementation preparedness. This iterative process enabled the identification of patterns and relationships across stakeholder perspectives while maintaining alignment with the research objectives [53]. Figure 2 illustrates the systematic qualitative data analysis process utilized in this study.

3.4. Data Validation and Trustworthiness

Several methodological practices were implemented to strengthen the credibility, dependability, and trustworthiness of the qualitative findings. First, reflexivity was continuously maintained throughout the research process, with the researcher actively examining potential interpretive biases and maintaining analytical transparency.

Second, triangulation was employed to strengthen data validation and improve interpretive reliability [54]. Triangulation involved comparing information obtained from:

• Semi-structured interviews;
• Governmental strategic planning documents;
• Workforce development reports;
• Transportation electrification policy materials.

The triangulation process enabled cross-verification of institutional perspectives and strengthened the consistency of emerging themes across multiple data sources [55].

Third, methodological transparency was enhanced through detailed documentation of participant selection procedures, coding processes, category development stages, and thematic interpretation procedures. The use of direct participant quotations and detailed contextual descriptions further strengthened analytical credibility and interpretive trustworthiness [55].

Finally, iterative review procedures were conducted throughout the coding and thematic development stages to ensure alignment between the research questions, participant perspectives, and final thematic interpretations [56,57,58]. These validation practices collectively enhanced the rigor, transparency, and reproducibility of the study findings.

3.5. Limitations of the Study

This study has several limitations. First, the research focused specifically on Connecticut, which may limit the generalizability of the findings to other U.S. states with different institutional structures, workforce systems, and transportation electrification strategies. Second, although the study included multiple stakeholders involved in workforce preparedness and EV implementation, additional perspectives from private-sector automotive organizations and current mechanics could further strengthen future research.

Additionally, because transportation electrification policies and workforce development initiatives continue to evolve rapidly, institutional strategies and implementation practices may change over time. Consequently, the findings should be interpreted within the temporal and policy context in which the data were collected.

4. Results

This section presents the major findings derived from semi-structured interviews conducted with workforce development and transportation electrification stakeholders in Connecticut regarding the state’s implementation of the Bipartisan Infrastructure Law (BIL) and the National Electric Vehicle Infrastructure (NEVI) program. The findings primarily focus on workforce preparedness, technician reskilling challenges, institutional coordination, and stakeholder perceptions associated with EV workforce transition readiness.

The thematic analysis revealed five major themes:

• Workforce development gaps in Connecticut’s NEVI strategic plan;
• Government-led reskilling efforts;
• Stakeholder involvement and communication challenges;
• Institutional adaptation through change management processes;
• Workforce perceptions regarding EV technician preparedness.

4.1. Workforce Development Gaps in Connecticut’s NEVI Strategic Plan

Interview findings revealed that although Connecticut’s NEVI strategic plan broadly supports national transportation electrification objectives, workforce development initiatives for EV technicians remain insufficiently institutionalized. Participants consistently noted that the state’s implementation strategy emphasizes charging infrastructure deployment, corridor expansion, and decarbonization goals while providing limited operational detail regarding long-term workforce preparedness and technician training systems.

One participant explained:

“The infrastructure side is moving faster than the workforce side. We have plans for charging stations, but the workforce pipeline is still developing.”

Another participant emphasized that although educational collaboration exists, formal workforce funding structures remain unclear:

“There are conversations with universities and community colleges, but there is no clearly defined statewide workforce training budget specifically for EV technicians.”

The findings also suggest that the absence of explicitly allocated workforce funding may limit the scalability and sustainability of EV maintenance preparedness efforts across Connecticut. Participants repeatedly indicated that workforce development discussions remain in early planning stages compared with infrastructure deployment activities. These findings demonstrate a disconnect between infrastructure implementation priorities and workforce readiness planning within Connecticut’s NEVI strategy.

4.2. Government-Led Reskilling Efforts for Existing Automotive Technicians

A major theme emerging from the interviews involved the limited availability of structured reskilling pathways for existing automotive mechanics transitioning toward electric vehicle technologies. Participants acknowledged growing governmental awareness regarding the need to retrain the current automotive workforce; however, most respondents indicated that formal implementation mechanisms remain underdeveloped.

One participant stated:

“Most current mechanics were trained for internal combustion systems, not high-voltage EV systems. Retraining them will require substantial investment and long-term planning.”

Another respondent explained:

“There is awareness that technicians need to transition into EV-related roles, but there are still limited state-supported certification pathways or dedicated upskilling programs.”

Participants also highlighted concerns regarding workforce adaptation barriers, including:

• Limited access to specialized EV equipment;
• Insufficient instructor preparedness;
• Certification costs;
• Uncertainty regarding future workforce demand.

Several interviewees further emphasized that experienced automotive mechanics are a critical workforce group because they already possess foundational diagnostic and repair knowledge that can be adapted to EV technologies through targeted reskilling initiatives.

These findings suggest that Connecticut’s current EV workforce transition strategy remains largely developmental and requires stronger institutional coordination, funding mechanisms, and implementation planning to effectively support existing automotive technicians.

4.3. Stakeholder Involvement and Institutional Communication

The interviews revealed fragmented communication and limited coordination among governmental agencies, educational institutions, workforce organizations, and industry employers involved in EV workforce preparedness initiatives. Participants consistently emphasized the importance of stronger collaboration mechanisms to support curriculum development, workforce planning, and technical certification systems.

One participant noted:

“There are multiple organizations involved, but coordination is still fragmented. Everyone supports EV transition goals, but implementation responsibilities are not always clearly connected.”

Another participant compared Connecticut’s approach with other states:

“Some states already have more formal educational allocations and workforce integration strategies. Connecticut is still developing those institutional relationships.”

Participants additionally emphasized that educational institutions often lack sufficient incentives, technical resources, and long-term policy guidance necessary to redesign existing automotive technology programs around EV systems and charging infrastructure maintenance. The findings indicate that stakeholder fragmentation may slow workforce adaptation efforts and reduce the effectiveness of statewide EV workforce preparedness strategies.

4.4. Interpretation Through Kotter’s 8-Step Change Model

The findings were further interpreted through Kotter’s 8-Step Change Model to evaluate Connecticut’s institutional adaptation and workforce transition progress within the EV implementation environment.

The analysis suggests that Connecticut has demonstrated moderate progress in the early stages of organizational transition. Participants indicated that the state has successfully established urgency regarding transportation electrification and has initiated coalition-building efforts through planning committees, governmental coordination, and stakeholder engagement activities.

One participant explained:

“There is definitely urgency around electrification and federal funding timelines. Agencies understand that workforce development eventually needs to catch up with infrastructure deployment.”

However, participants also emphasized that several later-stage implementation dimensions remain underdeveloped, particularly those associated with:

• Stakeholder empowerment;
• Workforce institutionalization;
• Long-term educational integration;
• Measurable workforce transition outcomes.

Another participant stated:

“There is still no fully operational statewide system for EV technician transition. A lot of planning exists, but implementation structures are still evolving.”

The findings therefore suggest that Connecticut remains in an intermediate stage of institutional adaptation in which strategic awareness and coalition-building activities have progressed more rapidly than workforce implementation and institutionalization mechanisms.

4.5. Workforce Perceptions and Future Preparedness Needs

Participants consistently emphasized the importance of establishing clearer certification pathways, workforce incentives, and long-term educational investment strategies to strengthen EV technician preparedness across the state. Several respondents highlighted that current educational systems may require substantial curriculum modernization to align with rapidly evolving EV technologies.

One participant explained:

“Without stronger state support, educational institutions may struggle to fully transition their automotive programs toward EV specialization.”

Participants additionally emphasized the importance of:

• State-supported scholarships;
• Workforce subsidies;
• Instructor training programs;
• Public–private partnerships;
• Industry-recognized certification systems.

Another respondent stated:

“If the state wants a sustainable EV workforce, there needs to be long-term investment in technician development, not just infrastructure deployment.”

Overall, the findings suggest that workforce preparedness is increasingly recognized as a critical institutional component in the implementation of transportation electrification. However, Connecticut’s current workforce transition strategy remains in an evolving stage that requires stronger coordination, clearer implementation mechanisms, and long-term workforce development planning.

Table 1. Summary of EV Workforce Development Findings in Connecticut.

Theme	Key Findings
Workforce Development Gaps	Workforce planning remains less developed than infrastructure deployment activities.
Reskilling of Existing Mechanics	Limited formal certification pathways and state-supported upskilling initiatives currently exist.
Stakeholder Coordination	Communication among institutions remains fragmented and inconsistently integrated.
Progress on Kotter’s 8 Steps	Early-stage urgency creation and coalition building are evident, while institutionalization remains underdeveloped.
Workforce Preparedness Needs	Participants emphasized certification systems, curriculum modernization, and long-term educational investment.

Summary of EV Workforce Development Findings in Connecticut summarizes the major themes and findings related to Connecticut’s EV workforce preparedness and institutional transition efforts identified through the qualitative interviews.

5. Discussion

5.1. Interpretation of Results

The findings reveal a significant implementation gap between EV infrastructure expansion and workforce preparedness within Connecticut’s NEVI strategy. Although Connecticut has aligned with national transportation electrification objectives through infrastructure planning, charging corridor deployment, and decarbonization commitments, workforce development mechanisms for EV technicians remain comparatively underdeveloped.

The interviews demonstrated that workforce preparedness is increasingly recognized as a necessary component of transportation electrification; however, participants consistently emphasized the absence of clearly institutionalized training systems, dedicated workforce funding structures, and long-term technician development policies. These findings suggest that Connecticut’s current implementation trajectory prioritizes infrastructure deployment over workforce adaptation.

This implementation imbalance represents a contemporary challenge increasingly observed across multiple U.S. states undergoing large-scale transportation electrification transitions. While federal funding accelerates charging infrastructure deployment timelines, workforce systems often require substantially longer periods to adapt educational curricula, certification pathways, instructor preparation systems, and technical training capacity.

The findings further indicate that existing automotive mechanics represent one of the most strategically important workforce groups within the EV transition process. Participants consistently emphasized that current technicians already possess transferable diagnostic and repair experience that can support EV workforce adaptation through targeted reskilling initiatives. However, the absence of structured statewide transition programs, certification incentives, and accessible technical training opportunities may limit the effectiveness of this workforce transformation process.

5.2. Strategic Gaps and Stakeholder Coordinatio

The findings demonstrate that stakeholder coordination remains one of the most significant institutional challenges affecting Connecticut’s EV workforce preparedness strategy. Although governmental agencies, educational institutions, workforce organizations, and industry stakeholders all support transportation electrification objectives, participants repeatedly described implementation coordination as fragmented and inconsistently integrated.

Interview responses indicated that educational institutions frequently lack sufficient long-term policy guidance, technical resources, and funding support necessary to redesign automotive technology programs around EV systems and charging infrastructure maintenance. Similarly, participants emphasized that industry stakeholders and workforce organizations remain insufficiently integrated into statewide implementation planning processes.

These coordination challenges mirror implementation issues observed in other U.S. states with emerging EV workforce transition systems. In contrast, states such as Michigan and California have demonstrated more advanced institutional coordination through stronger integration between governmental agencies, community colleges, labor unions, and automotive industry partners. These states have implemented workforce-focused grant structures, technical certification pathways, and collaborative educational initiatives that more directly connect infrastructure expansion with workforce development planning.

The comparison suggests that Connecticut’s EV workforce preparedness strategy remains in a relatively developmental stage compared with states demonstrating more mature workforce institutionalization processes. Consequently, stronger stakeholder coordination mechanisms will likely be necessary to improve workforce scalability, educational alignment, and the sustainability of long-term implementation.

5.3. Interpretation Through Kotter’s 8-Step Change Model

Applying Kotter’s 8-Step Change Model provides additional insight into Connecticut’s institutional adaptation progress within the EV implementation environment. The findings suggest that the state has demonstrated moderate progress in establishing urgency and initiating coalition-building activities associated with transportation electrification implementation.

Participants acknowledged that governmental agencies increasingly recognize the importance of EV transition planning and the long-term implications of federal electrification policies. Strategic planning documents, stakeholder committees, and infrastructure deployment initiatives indicate that the state has initiated early-stage organizational transition processes associated with transportation electrification implementation.

However, several critical implementation dimensions remain underdeveloped. Specifically, the findings revealed limited evidence of:

• Workforce empowerment mechanisms;
• Measurable short-term workforce development outcomes;
• Institutionalized technician transition systems;
• Permanent educational integration strategies.

The absence of pilot technician programs, statewide certification incentives, workforce scholarships, and institutionalized educational reforms suggests that Connecticut remains in an intermediate implementation stage in which strategic awareness has advanced more rapidly than operational workforce adaptation.

Table 2. Assessment of Connecticut’s NEVI Workforce Development Using Kotter’s Change Model.

Kotter’s Change Step	Connecticut’s Implementation Status	Evidence from Research Findings
Establishing a Sense of Urgency	Partially Established	NEVI plan recognizes EV transition, but urgency around technician training is limited
Forming a Guiding Coalition	Limited	Collaboration is mostly limited to the University of Connecticut; broader coalition (e.g., unions, schools) is missing
Creating a Vision for Change	Present in Policy Documents	The vision to transition to EVs by 2050 is stated, but technician-specific vision lacks clarity
Communicating the Vision	Weak	Little public communication or outreach targeting technician retraining and awareness programs
Empowering Broad-Based Action	Weak	No concrete tools like grants, training stipends, or policy mandates for workforce training
Generating Short-Term Wins	Absent	No pilot programs or early training cohorts have been announced or tracked
Consolidating Gains & Producing More	Not Applicable Yet	Lack of initial wins makes it difficult to build momentum
Anchoring New Approaches in Culture	Absent	No institutionalized permanent policies or educational reforms for EV technician training

(Assessment of Connecticut’s NEVI Workforce Development Using Kotter’s Change Model) presents a comparative assessment of Connecticut’s EV workforce implementation progress using Kotter’s change framework.

5.4. Long-Term Policy and Workforce Implications

The findings have several important long-term policy implications for transportation electrification implementation and workforce preparedness planning. First, the results suggest that EV infrastructure deployment alone is insufficient to support sustainable transportation electrification without corresponding investment in workforce development systems.

As EV adoption continues to expand nationally, states will likely face increasing demand for qualified technicians capable of supporting charging infrastructure maintenance, battery servicing, diagnostics, and operational reliability. Consequently, workforce preparedness may become a major determinant influencing the long-term sustainability and effectiveness of EV infrastructure systems.

The findings additionally suggest that delayed workforce adaptation may create implementation risks, including technician shortages, infrastructure maintenance delays, inconsistent service quality, and reduced operational reliability. These challenges may become increasingly significant as charging infrastructure networks expand and EV technologies continue evolving.

From a policy perspective, the results indicate that future NEVI implementation strategies may require stronger integration between infrastructure investment and workforce planning mechanisms. Long-term implementation success will likely depend on:

• Dedicated workforce development funding;
• Statewide certification systems;
• Instructor training initiatives;
• Curriculum modernization;
• Measurable workforce readiness metrics.

The findings further highlight the importance of institutional flexibility and adaptive governance during large-scale technological transitions. States that successfully integrate workforce preparedness into transportation electrification planning may achieve stronger implementation sustainability, greater workforce scalability, and improved long-term operational readiness.

5.5. Practical Recommendations and Real-World Applications

The findings suggest several practical recommendations that may strengthen Connecticut’s EV workforce preparedness strategy and support broader transportation electrification implementation efforts.

First, Connecticut should establish a dedicated EV workforce development funding structure within its NEVI implementation strategy to support technician reskilling initiatives, educational modernization, and instructor preparation programs. Second, stronger collaboration between governmental agencies, community colleges, labor unions, workforce organizations, and industry employers should be institutionalized through formal statewide coordination mechanisms.

Third, pilot reskilling programs targeting existing automotive mechanics could provide practical transition pathways into EV-related occupations while helping address emerging workforce shortages. Participants consistently emphasized that incumbent automotive technicians represent a highly valuable workforce segment because of their existing diagnostic and repair experience.

Additionally, the implementation of industry-recognized certification systems, apprenticeship opportunities, and state-supported workforce incentives may improve technician participation and workforce transition effectiveness. Educational institutions may also benefit from increased technical support, updated laboratory equipment, and curriculum modernization initiatives aligned with EV maintenance technologies.

From a broader implementation perspective, the findings may provide useful insights for other U.S. states currently developing workforce preparedness strategies under the BIL and NEVI framework. Specifically, the study highlights the importance of aligning infrastructure deployment planning with long-term workforce adaptation systems to support sustainable transportation electrification implementation.

6. Conclusions

This study examined Connecticut’s implementation of the BIL and the NEVI program, with particular emphasis on workforce preparedness and the transition of existing automotive technicians toward electric vehicle technologies. The findings indicate that although Connecticut’s strategic planning aligns with broader federal transportation electrification objectives, workforce development systems for EV technicians remain comparatively underdeveloped.

The results revealed that Connecticut has made progress in infrastructure planning, stakeholder engagement, and transportation electrification awareness; however, the state currently lacks clearly institutionalized workforce implementation mechanisms, dedicated funding structures for technician training, and comprehensive statewide reskilling pathways for existing automotive professionals. Participants consistently emphasized that workforce preparedness is evolving at a pace that lags behind that of EV infrastructure deployment.

The findings also suggest that the successful implementation of transportation electrification requires stronger coordination among governmental agencies, educational institutions, workforce organizations, and industry stakeholders. While existing collaborations with institutions such as the University of Connecticut represent positive initial efforts, broader integration with community colleges, labor organizations, certification systems, and industry employers remains limited.

Using Kotter’s 8-Step Change Model as an interpretive framework further demonstrated that Connecticut has made progress in establishing urgency and initiating coalition-building activities for EV transition planning. However, several long-term implementation dimensions—including workforce empowerment mechanisms, measurable training outcomes, institutionalized educational reforms, and sustainable workforce transition systems—remain insufficiently developed.

Rather than positioning Connecticut as a definitive national model, the findings offer insights into the institutional and workforce challenges that may arise during large-scale transportation electrification. The study contributes to the growing literature examining the relationship between EV infrastructure deployment and workforce preparedness within state-level policy environments. In particular, the findings highlight the importance of integrating workforce development planning into broader transportation electrification strategies to support long-term operational sustainability.

This study has several limitations. First, the research focused specifically on Connecticut, which may limit the broader generalizability of the findings to states with different institutional structures, workforce systems, and transportation electrification policies. Second, although multiple stakeholders involved in workforce preparedness and EV implementation were included, additional perspectives from private-sector employers, labor unions, and frontline automotive technicians could provide further insight into workforce transition challenges. Finally, because EV policies and workforce systems continue evolving rapidly, implementation conditions may change over time.

Future research should expand comparative analysis across multiple U.S. states to examine how regional differences, institutional coordination mechanisms, and workforce investment strategies influence EV workforce preparedness outcomes. Longitudinal studies may further help evaluate the long-term effectiveness of technician reskilling programs, workforce certification systems, and transportation electrification policies under the NEVI framework. Additional research could also explore the role of emerging technologies—including simulation-based learning, virtual reality training environments, and AI-supported technical education systems—in strengthening EV technician preparedness and workforce adaptation processes.