Go Virginia Region 2 is poised for an AI transformation. The region’s institutions and companies are already making strides in key areas, but the question remains - Can we fully unlock AI's potential?
Today, the Fralin Biomedical Research Institute (FBRI), Virginia Tech Carilion (VTC) School of Medicine, and Liberty University are at the forefront of revolutionizing healthcare through personalized medicine and diagnostic advancements. Organizations like the Edward Via College of Osteopathic Medicine (VCOM) continue to produce hundreds of Physicians and research projects annually. AI promises to accelerate these efforts by enabling precision treatments tailored to individual patient's genetic makeup, vastly improving diagnostic accuracy, and speeding up drug discovery.MELD is pioneering additive manufacturing techniques in materials and machinery manufacturing, reducing production times by 25% and setting new benchmarks. With AI integration, MELD can further optimize manufacturing processes, increasing flexibility and precision while minimizing waste—pushing the boundaries of what’s possible in materials science.
In IT & Emerging Tech - Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, are shaping the workforce of tomorrow by providing a robust pipeline of talent in IT, Engineering, and Emerging Technologies. With AI’s growing presence, these institutions will play a pivotal role in ensuring that the next generation of professionals is prepared to lead the innovation charge.
In Transportation Manufacturing and automation, Daimler, Torc, Volvo, Mack, and the Virginia Tech Transportation Institute (VTTI) are advancing smart infrastructure, positioning Region 2 as a testbed for autonomous trucking and logistics systems. Today, they’re improving road safety and logistics efficiency; tomorrow, AI promises to create fully autonomous logistics networks, solving rural mobility issues and making the region a hub for cutting-edge transportation systems.
Advanced manufacturers like BWXT and Framatome are already recognized for their precision in the nuclear and energy sectors. Integrating AI into their processes will enhance precision and operational efficiency, allowing for predictive maintenance, real-time monitoring, and optimized production, cementing Region 2’s leadership in AI-driven manufacturing.
Unlocking AI's Potential - Region 2's Path to Economic Leadership
The region is poised to play a critical role in the global AI opportunity, but its future hinges on immediate, bold action. The area can secure high-paying jobs and generate sustainable economic growth for decades by embracing education, fostering public-private partnerships, and driving innovation.
Preparing the workforce for rapid healthcare, high-tech manufacturing, transportation, and IT changes ensures Region 2 stays competitive. By anticipating the transformative impact of AI and proactively planning for its integration into key sectors, Region 2 can empower its residents to thrive in the evolving job market, positioning itself as a leader in this new economy.
The Impact of AI on Healthcare
AI is already transforming the industry through advances in diagnostics and personalized medicine. Region 2, home to major research institutions like Virginia Tech, Liberty University, the FBRI, the VTC School of Medicine, Carilion Clinic, VCOM, Lewis Gale, and Veterans Administration Hospital (VA), is well-positioned to become a leader in AI-driven healthcare innovations. It is poised to revolutionize the bio and healthcare industry, particularly in diagnostics, personalized medicine, and patient care management. Below are thoughts on how the Region 2 landscape may evolve over time.
Job Creation
AI will likely augment healthcare jobs by enabling faster, more accurate diagnoses and personalized treatments. Jobs in bioinformatics, healthcare applications, and medical data science are expected to grow, requiring new expertise in AI-driven healthcare platforms and digital health monitoring tools.
Potential Risks
While AI will optimize many processes, it may reduce the need for certain administrative roles or routine diagnostic jobs as these can be automated. However, Healthcare's human-centered nature means that jobs like researchers, nurses, physicians, and care workers are more likely to be enhanced rather than replaced.
Other Potential Risk
The integration of AI raises significant ethical questions, such as balancing technological advancement with equitable job opportunities. Without deliberate efforts to govern its implementation, inequalities may deepen, disproportionately affecting low-skilled workers.
Therefore, policymakers and business leaders should develop comprehensive frameworks that ensure the fair distribution of economic potential and mitigate the risks of widespread job displacement. Beyond employment concerns, AI also raises questions about privacy, data ownership, and algorithmic bias, requiring a comprehensive governance framework.
Leaders must ensure that AI-driven innovations are aligned with societal well-being, balancing innovation with transparency and fairness. With strong frameworks and comprehensive governance, businesses can avoid exploiting technology in ways that may widen economic disparities and create social inequalities.
Expected Adoption Timeline and Possible Action Items
Short-Term (1–3 Years)
Integration in Diagnostics and Personalized Medicine
AI-powered diagnostic tools and personalized treatment platforms will become more prevalent in healthcare. Healthcare startups with AI are starting to emerge in Region 2 thanks in part to the Regional Acceleration and Mentoring Program (RAMP), Carilion Clinic, FBRI, and the Roanoke Blacksburg Technology Council (RBTC). State and local leaders should consider increasing these opportunities by establishing additional partnerships with Virginia Tech, FBRI, Liberty University, Carilion Clinic, VCOM, Lewis Gale, and other regional entities.
Education and Training
Institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should consider offering expanded healthcare programs to prepare students for roles in AI-related fields like bioinformatics, medical data science, and healthcare. Community colleges should prioritize providing vocational training in AI-driven medical technologies for healthcare workers.
Mid-Term (3–5 Years)
Remote Monitoring and Telemedicine
As AI-based remote monitoring systems and telemedicine become standard, healthcare roles will shift towards managing and interpreting AI-generated patient data. This period will increase the demand for specialists to understand medical science and machine learning.
Cross-Institutional Collaboration
Institutions of higher education like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should collaborate on research projects and development to stay at the forefront of healthcare innovation in the Region.
Long-Term (5–10 Years)
Enhanced Medical Research and Genomics
AI will accelerate medical research, especially in genomics and drug discovery. If educational institutions collaborate on genomics and research programs, Region 2 could become a hub for AI-based biotech startups.
Training and Jobs
The region's four Community Colleges, Radford University, Roanoke College, Lynchburg University, Ferrum College, and other institutions, should consider developing specialized biotech programs to attract students interested in healthcare innovation. Our regional community colleges can also help retrain healthcare workers in AI-enhanced roles.
The Impact of AI on High-Tech Manufacturing
High-tech manufacturing is crucial to Region 2's economy, with industries like advanced materials, electronics, energy, and transportation making significant contributions. AI will significantly transform this sector through automation, predictive maintenance, and smart factory systems. Organizations like MELD could lead the way. MELD specializes in metal additive manufacturing, allowing the production of custom components with enhanced strength and durability using AI-enhanced processes.
Job Creation
AI-driven automation will improve production efficiency, enabling local manufacturers to compete globally. As factories become more digitized, jobs in robotics, AI system maintenance, and data analytics will grow. AI can also drive customized manufacturing, creating jobs in design, prototyping, and machine learning integration for manufacturing systems.
Possible Risk
AI could automate lower-skilled roles on the manufacturing floor, reducing the demand for certain types of labor. However, there will be an increasing need for skilled workers who can operate and maintain AI-driven systems and those involved in AI system development.
Other Possible Risk
The technology raises questions about privacy, data ownership, and algorithmic bias, requiring a comprehensive governance framework. Leaders must ensure that AI-driven innovations are aligned with societal well-being, balancing innovation with transparency and fairness.
In addition to these challenges, significant opportunities emerge for Region 2 to capitalize on AI-driven innovations.
Opportunities for Region 2
To capitalize on its role in manufacturing, Region 2 should invest in AI-focused vocational training programs and partner with local manufacturing companies to implement smart factory technologies. These efforts could attract high-tech manufacturers looking for regions with AI-ready workforces and further develop production and maintenance technologies.
Expected Adoption Timeline and Possible Action Items
Short-Term (1–3 Years)
Automation and Driven Efficiency
AI Automation has already optimized manufacturing processes, particularly through predictive maintenance and automation systems. Companies will start implementing more smart factory technologies, requiring skilled workers who understand robotics and systems.
Education and Training
Universities like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should introduce or expand manufacturing courses to help prepare students for future job opportunities. Our local Community Colleges can focus on offering certifications in AI-powered machinery maintenance.
Mid-Term (3–5 Years)
Smart Factories and Advanced Robotics
AI-driven smart factories will become widespread in Region 2, creating demand for robotics engineers, data scientists, and specialists who can maintain and optimize AI-powered systems.
Workforce Training Programs
Radford University, Lynchburg University, Roanoke College, Randolph College, Ferrum College, and our Community Colleges should collaborate with local manufacturers to offer hands-on training and system integration programs to help upskill the existing workforce.
Long-Term (5–10 Years)
Custom and On-Demand Manufacturing
AI will enable on-demand manufacturing and mass customization, allowing manufacturers to tailor products to individual customer needs. This shift will require a workforce that can manage AI-driven production lines, creating new jobs in production management, maintenance, and system development.
Future of Manufacturing Education
Institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should consider developing AI and Robotics engineering programs to meet the growing demand for highly skilled workers in AI-powered manufacturing.
The Impact of AI on Autonomy & Transportation in Region 2
Autonomous transportation, including self-driving vehicles, drones, and smart logistics, is rapidly growing with AI at its core. Region 2 has significant opportunities to participate in this growth, particularly with Virginia Tech's transportation research and the autonomous vehicle initiatives already in place.
Virginia Tech Transportation Institute (VTTI) is one of the leading research organizations in autonomous driving and transportation technology. Located in Blacksburg, VTTI conducts cutting-edge research on self-driving vehicles, smart infrastructure, and connected transportation systems. The institute works closely with federal, state, and private-sector partners to test and develop autonomous vehicle technologies, making it a key player in AI-driven transportation research. (Virginia Tech Transportation Institute, 2023).
Significant opportunities exist to develop intelligent infrastructure in Region 2. Smart roads use AI-driven technologies to monitor traffic, optimize routing, and enhance the safety of autonomous vehicles. By optimizing traffic flow and providing a national test bed to expand the work of VTTI, the technology can improve real-time traffic management, reduce accidents, ease the shortage of CDL drivers, and lower carbon emissions.
VTTI, in collaboration with the Virginia Department of Transportation (VDOT), has been involved in several key projects that showcase their advancements in transportation technology, particularly along the I-95 corridor and in autonomous vehicle research. These projects include:
I-95 Corridor and Virginia Connected Corridors: VTTI partnered with VDOT to create the Virginia Connected Corridors (VCC). This significant initiative facilitates the real-world testing and deployment of connected vehicle technology. The VCC includes the Northern Virginia Connected Vehicle Test Bed, which spans congested roadways such as Interstates 66 and 495 and U.S. 29 and 50. This corridor leverages roadside units (RSUs) interacting with traffic signals to broadcast information such as signal timing (SPaT) and lane closures. These technologies improve safety and operational efficiency across the corridor.
Smart Intersection Project: VTTI's work extends into smart intersection projects, where AI-driven systems are deployed to reduce congestion and enhance safety at intersections. These intersections are equipped with sensors and communication technologies that interact with human-operated and autonomous vehicles. The real-time data collected improves traffic management and helps reduce the risk of accidents, contributing to safer urban mobility
Autonomous Vehicle Testing: The Virginia Smart Roads managed by VTTI are a state-of-the-art testing facility. The facility provides a closed environment where vehicle, including Avs, can be tested under different road conditions, including rural settings with complex topography, such as winding roads and small bridges. VTTI also conducts tests that transition from these controlled environments to live traffic conditions, offering valuable insights into how autonomous vehicles perform in real-world scenarios.
These projects reflect the significant role VTTI plays in advancing transportation technology outside of our region, focusing on safety, efficiency, and the deployment of connected and autonomous vehicle technologies across Virginia. Imagine if we bring this type of infrastructure and collaboration to Region 2. It will benefit organizations like Daimler/Torc, Mac, and Volvo, which often have to go outside the of Commonwealth for testing due to a lack of facilities.
Driving Innovation - Seizing Opportunities in Autonomous Infrastructure
Building intelligent infrastructure along the roads in our corridor will position Region 2 as a national leader in autonomous vehicle testing and smart road infrastructure. The region's proximity to VTTI is ideal for this growth. By prioritizing AI research in transportation and establishing training programs for autonomous vehicles, Region 2 will attract startups and generate future-proof jobs.
Possible AI and Smart Road Projects for the Region
Smart Infrastructure Development: A prime stretch for smart road development lies between Blacksburg and Roanoke, making it a perfect testbed for AI-powered smart infrastructure. With AI-powered sensors, connected vehicle systems, and autonomous driving test sites, this corridor will create jobs in transportation research, infrastructure development, and management. With the future construction slated for I-81 from Salem to Christiansburg, this is a unique time to build the smart road infrastructure to support the work of VTTI and the autonomous industry. This project could also be expanded over time to support and extend opportunities for the Port of Virginia and inland port projects by providing innovative trucking solutions from Strasburg to Wytheville along the I-81 corridor, giving the region and the Commonwealth a first-mover edge in ship-to-customer delivery.
Rural Smart Road Expansion
The region also has the opportunity to partner with Region 3 and VTTI on building intelligent infrastructure from the North Carolina border to Collinsville, allowing for seamless testing and deployment of autonomous trucking and logistics systems in rural areas of the state.
Both projects would create high-paying jobs in logistics, system maintenance, and transportation planning, further solidifying Region 2’s leadership in smart transportation.
Job Risks
AI could reduce jobs in traditional transportation sectors, such as trucking and delivery, as autonomous vehicles and drones take over these tasks. However, this loss can be mitigated by retraining workers for autonomous vehicle support, maintenance, and data management roles.
Other Potential Risk
Companies like Torc and Volvo are forced to use facilities outside the state since this infrastructure does not exist in the Commonwealth. Do we risk losing jobs and industry in this emerging area?
By embracing AI in autonomous transportation and smart roads, Region 2 can create high-paying jobs in autonomous systems engineering, software development, logistics, and data analytics. Workforce development and training are crucial to securing this role in the AI-driven economy.
Expected Adoption Timeline and Possible Action Items
Short-Term (1–3 Years)
Early Adoption of Autonomous Vehicles
AI in autonomous vehicles (AVs) and smart logistics systems are impacting Region 2 now, with research institutions like Virginia Tech leading the way in testing and developing various technologies. Additional smart road facilities are needed for the region to remain competitive.
Education and Training
Virginia Tech and Liberty University should consider prioritizing autonomous systems engineering and transportation programs that will use more AI-related components moving forward. Community colleges should consider providing vocational training in AV maintenance and support roles.
Mid-Term (3–5 Years)
Expansion of Smart Infrastructure
Region 2 must develop smart infrastructure to support this emerging space, creating jobs in urban planning, smart infrastructure development, and AI-powered logistics.
Job Creation
Institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should consider offering urban planning and transportation technology programs focusing on AI-driven solutions for smart cities and autonomous systems.
Long-Term (5–10 Years)
Mainstream Adoption of Autonomous Transportation
By this time, autonomous vehicles and AI-driven transportation systems will be mainstream, requiring significant workforce development in AI systems management, policy development, and safety compliance.
Regional Leadership
Region 2 can position itself as a leader in autonomous vehicle innovation through research partnerships between Virginia Tech, Liberty University, and state and local governments. Our community Colleges and Regional Training Programs should prioritize AI-powered transportation and smart logistics management.
AI in the Computer and Technology Sector
The computer and technology sectors are at the forefront of innovation. Region 2 already has software development and a data science foundation, but further technology development should create significant job opportunities.
Job Creation
AI will create new roles in software development, data science, research, cybersecurity, and cloud computing. Jobs related to building and maintaining systems, such as architects, data engineers, and machine learning specialists, will become critical. The AI-as-a-service (AIaaS) model is also expected to grow, creating opportunities for tech professionals to build platforms that deliver capabilities to various industries.
Potential Risk
AI could automate IT support roles, including data entry, system monitoring, and basic coding tasks. However, the demand for skilled developers and data scientists will far outstrip these losses, especially in regions focused on tech innovation.
Expected Adoption Timeline and Possible Action Items
Short-Term (1–3 Years)
IT & Emerging Tech
The tech sector is rapidly adopting AI software development, cloud computing, and data analysis, creating immediate job opportunities for software developers, data scientists, and cybersecurity experts.
Education and Training
Institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should consider how to build and implement AI boot camps and certifications for IT professionals.
Mid-Term (3–5 Years)
AI as a Service (AIaaS)
AI-driven cloud services will become more popular, creating jobs in AI integration, cloud infrastructure, and systems support. While Virginia Tech has several projects underway at the Innovation Campus in Northern Virginia, establishing labs at the Corporate Research Park and in Lynchburg will provide a cost-efficient solution for Industry and the start-up community who cannot afford the cost of Microsoft Azure, AWS, or Google.
Collaboration and Research
Institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, should consider collaborating with tech companies and regional universities to develop research initiatives focusing on AIaaS platforms and cloud computing.
Long-Term (5–10 Years)
AI-Driven Innovation in Tech
AI will enable new areas of tech innovation, from quantum computing to advanced cybersecurity. This period will see the creation of high-paying jobs in AI system architecture, quantum computing, and research.
Education and Training
Region 2 must prioritize expanding research partnerships between area Colleges and Universities, local tech companies, and startups to stay competitive. Offering incentives for AI-driven companies to set up operations in the area, alongside with developing education programs that focus on coding, data analysis, and ethics, will create a robust pipeline for high-paying technology jobs.
Strategic Recommendations for Region 2
By capitalizing on our strengths in IT, Engineering, Emerging Tech, Life Sciences, Biotechnology, Materials and Machinery Manufacturing, and Transportation and Autonomy Manufacturing, the region is poised to thrive in an AI technology-driven future. Educational institutions across the region - from Virginia Tech to Liberty University to local community colleges – should continue collaborating with industries and research organizations to create programs that prepare students for high-paying jobs in these dynamic sectors.
Focus on Research Funding
Region 2 must prioritize research funding in AI to accelerate its impact on key industries. By securing additional research dollars, the region can ensure that cutting-edge AI innovations are developed in targeted clusters like biotechnology, autonomous systems, and advanced manufacturing. This funding will also support regional universities and research institutions, fostering further collaboration with businesses and enhancing Region 2’s role as an AI leader.
Key Strategic Actions
Focus on AI Education: Region 2's educational institutions should rapidly develop and implement AI-related courses across our targeted clusters. Universities' research initiatives and projects must lead the way, while community colleges can offer certifications and technical training.
Encourage More Public-Private Partnerships: Collaboration between universities, local industries, and government bodies will be essential in attracting AI-driven startups and investment to Region 2. Partnerships can also foster applied research projects that help businesses integrate AI into their operations.
Seek Support from State and Local Governments: Region 2 must actively seek support from state and local governments to help build and maintain the necessary infrastructure. This includes investing in smart infrastructure, transportation networks, and connectivity systems that support AI integration across sectors.
Federal and State Grants: Federal and state grants will be instrumental in funding AI research, infrastructure, and workforce development programs. Region 2 should prioritize seeking these grants to accelerate AI adoption, innovation, and economic growth.
Support Worker Reskilling and Upskilling: AI will create new high-paying jobs, but it will also require reskilling workers whose jobs may be displaced. Offering AI-related vocational training at community colleges and lifelong learning opportunities at universities will help transition workers into AI-augmented roles.
Build a Narrative Around AI Resources: Region 2 should develop and promote a compelling narrative around our AI resources, capabilities, and innovation potential. By showcasing success stories, research initiatives, and unique advantages, the region can attract new and diverse businesses to support its four target clusters, ultimately driving long-term economic growth.
Incentivize AI Startups and Businesses: Region 2 is conducting our first RAMP AI program, but is this enough? The region must consider how we build and support business incubators and fund research grants to attract AI-driven industries. Establishing innovation hubs, start-up spaces, and accelerators can create an ecosystem where startups thrive, further driving job creation and economic growth.
Create AI-Ethics and Regulatory Leadership: Region 2 can lead in developing ethical standards and regulatory frameworks that ensure AI technologies are implemented responsibly. This will create opportunities for AI governance, compliance, and ethics professionals. Beyond employment concerns, it also raises questions about privacy, data ownership, and algorithmic bias, requiring a comprehensive governance framework.
Timeline for Job Market Impact in Region 2
The integration of AI into Region 2's economy will occur in phases, with significant transformations expected over the next decade. Below are items to consider and the associated timeline.
Short-Term (1–3 Years)
Infrastructure Planning
Identify public and private research grants to help build the AI infrastructure needed to be a world-class technology community that supports Region 2’s targeted clusters, from manufacturing wet labs to smart roads. Remember, Autonomous research and testing are happening now in the region.
Focus on Education
Develop and offer AI courses and certification programs in targeted clusters from our colleges and universities.
Mid-Term (3–5 Years)
Focus on Planning for a More Robust Infrastructure
AI is being widely adopted in manufacturing, smart logistics, and autonomous systems.
The Job Market Will Start to Shift
There is a high demand for AI engineers, robotics experts, healthcare data scientists, and AI-powered logistics managers. Current workers will need to upskill to fill AI-driven roles.
Cross-institution Collaboration
Expand research initiatives and related projects between regional universities, colleges, and local industries.
Long-Term (5–10 Years)
Mainstream Adoption of AI
AI has become integral to daily operations across healthcare, manufacturing, transportation, and technology. AI-enhanced job roles in these sectors have become the norm.
Innovation Hub
Region 2 emerges as a national leader in AI-driven industries, with robust job creation in AI research, development, and application in our four targeted clusters.
Sustained Economic Growth
Drives sustained economic growth in the Region, ensuring that Region 2 remains competitive in the national and global job market.
Final Thoughts
The growth of AI represents a rare opportunity for Region 2 to redefine our economy. The future is here, and the decisions made today will shape the next decade of growth. Immediate investment in AI-driven sectors - coupled with targeted education and workforce development - will ensure that Region 2 is not only a participant in the AI revolution but a leader. The region's institutions should align their efforts to seize this transformative potential, from our local colleges and universities to regional manufacturers. The stakes are high, but so are the rewards. Inaction is not an option. The path forward demands immediate and decisive action.
With institutions like Virginia Tech, Liberty University, Radford University, Roanoke College, Hollins University, Sweet Briar College, Lynchburg University, and Ferrum College, along with Central Virginia, Virginia Highlands, New River Valley, and Virginia Western Community Colleges, Region 2 has the foundational tools to lead in AI research and workforce development. Yet, without coordinated efforts to build the necessary infrastructure and prepare its workforce, the region risks falling behind other areas in the state and wider mid-Atlantic area.
The future of Region 2 hinges on its our to capitalize on AI's growth. Immediate investments in AI-driven sectors, workforce development, and public-private partnerships will lead the region to sustained growth. The region must act now to secure its position as a leader in AI innovation, ensuring that it not only participates but thrives in the global AI revolution. Failure to do so risks economic stagnation and a lost opportunity to become a hub for high-paying jobs and technological leadership.
References
PwC. (2018). AI to Drive Global GDP Gains of $15.7 Trillion by 2030. Retrieved from https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf
McKinsey Global Institute. (2017). Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation. Retrieved from https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
MELD Manufacturing Corp. (2023). MELD Technology. Retrieved from https://www.linkedin.com/checkpoint/challengesV2/AQE8ipe9FmX5_AAAAZKRN4YPQDVHjKM_ckSVfzoXnnTjZtr6XoSbL553f4K-FQnvFuYsTGsIW0HnyQ_dZ0ZlBuDTYVKBCdz0CQ?ut=0U-OwlCJvSJrs1
Artificial Intelligence: Healthcare’s New Nervous System. Retrieved from https://www.accenture.com/au-en/insights/health/artificial-intelligence-healthcare
Virginia Tech Transportation Institute. (2023). Autonomous Vehicle Research.
European Union. (2018). https://www.vtti.vt.edu/facilities/vcc.html
Virginia Tech Transportation Institute (VTTI). (2023). Virginia Connected Corridors. Virginia Tech Transportation Institute. Retrieved from https://www.vtti.vt.edu/facilities/vcc.html
Virginia Tech Transportation Institute (VTTI). (2023). Virginia Smart Roads. Virginia Tech Transportation Institute. Retrieved from https://www.vtti.vt.edu/facilities/virginia-smart-roads.html
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