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How to Overcome the AI Talent Shortage in the US

strategies to solve the AI talent shortage including upskilling, outsourcing, and educational partnerships

logo By Nextbridge Editorial Team

6 minutes read

AI is emerging as a leading technology that is expected to grow significantly by 2033. Organizations, regardless of their size, are rapidly adopting AI technologies because they help them achieve a return on investment when implemented effectively. With the global adoption of AI in emerging and advanced economies, jobs are being automated and productivity is being improved.

In the middle of the increasing demand for AI talent, the US economy is facing an AI talent shortage in various industries: from healthcare to banking, transportation, and communication. On the one hand, the percentage of job postings with AI expertise is growing. On the other hand, organizations face a lack of talent with the necessary AI knowledge and experience worldwide.

In the blog A Guide to Strategic Talent Development for US Tech Companies (2025), we have already discussed how tech companies in the USA can prepare their workforce for the future technologies: AI and Web3. In this blog, let’s explore how US companies can identify the AI skills gap and address their tech shortages. First, let’s see why the tech talent shortage problem exists in the USA.

The Tech Talent Shortage Problem

The lack of talent in the technical aspects of business affects its capacity to work towards new projects and initiate innovative solutions connecting hardware, software, cloud, and data. Simply training the employees quickly is not sufficient.

AI talent shortage

With the rapid advancement of technology, the talent gap is increasing day by day. The number of job openings is rising and revolves around AI-based knowledge, specifically relevant to generative artificial intelligence. These jobs include scientists, developers, and software engineers. They are building and using new AI-based tools and models in high-demand areas, including:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Cybersecurity
  • Automation
  • Systems Architecture
  • Cloud Computing

After every 2 years, niche technical skills are outdated or even expired. This is why regularly upgrading and refreshing them is important.

It is not like only large tech enterprises in the US are looking forward to overcoming AI talent shortages. Organizations from other industries, including retail, education, human resources, and law, are also seeking skilled resources in AI. This is why they expect an average employee to have at least a basic understanding of the functionalities of these AI-based technologies and how they can utilize them on the job to interact with customers. All this discussion gives enough evidence that companies in the US need to overcome the AI talent shortage by integrating automation in their daily operations. 

The Impact of AI Talent Shortage on Business

Now that you have understood how the AI talent shortage problem is arising in the US, let’s see how it's impacting businesses. 

  1. Delays in the Projects

If your organization lacks the skilled workforce needed for AI tech implementations quickly, you miss opportunities and face delays in the projects. Due to the two main reasons: budget constraints and AI skills shortage, one-third of technical specialists face delays in AI projects. These delays last for almost six months, affecting the project quality and progress. 

  1. Limitations in Productivity 

Large enterprises like Amazon, Google, Microsoft, and Apple invest heavily in AI and automation. AI, being an emerging and growing technology, eliminates the need for manual work, improves productivity, and strengthens the processes.  So, an AI talent shortage prevents you from implementing process automation that results in reduced productivity and higher costs. 

  1. Slower Adoption of AI

Companies lose their competitive edge and their position in the market if the adoption of AI is slower. This is because when they delay AI adoption, it causes slower decision-making. On the other hand, organizations with AI-based automation improve their operations and decision-making capabilities, increasing their revenues. So, ignoring the quick AI adoption can cause you to lose revenue.

  1. High Pay Rates of Developers

AI-based roles and jobs demand higher salaries, which results in strong competition in the AI job market. In such market dynamics, huge corporations can easily attract top AI talent by offering higher packages. 

Contrary to this, startups and Small and Medium Enterprises (SMEs) face difficulties in competing in the market and positioning themselves because of resource and budget constraints. Due to this technology skills gap, they struggle to build stronger and skilled AI teams

Overcoming AI Talent Shortage 

Because of a technology skills gap, most companies struggle when implementing responsible AI-based strategies and practices. This is where US companies should adopt and implement strategies to overcome and eliminate the talent gap. No matter which industry a company belongs to, it is facing an IT talent shortage and needs to adopt innovation strategies that help it attract and retain the top talent.

The following are some strategies to overcome the AI talent shortage.

AI talent shortage solutions
  1. Talent Upskilling and Reskilling

Implementing talent reskilling and upskilling solutions is one of the most critical steps in filling the AI skills gap. Businesses can maximize the potential of their current employees by offering them AI-related skills training programs and mentorship. The internal workforce can learn practical AI skills, including automation, machine learning, and data analysis. 

Such training programs help the workforce apply newly learned skills in their routine tasks. This way, organizations enhance their learning experience and improve overall processes, closing the tech talent gap, without hiring more employees.

  1. Encouraging AI Awareness and Adoption

Only providing AI upskilling and reskilling opportunities is not enough. If organizations want to utilize the full potential of AI & RPA upskilling, they need to create a culture where employees have:

  • Awareness about the importance of AI
  • Motivation to adopt AI tools
  • A clear understanding of how AI skills can improve productivity

Practically speaking, AI training programs focus on how AI practices automate recurring tasks, enhance decision-making capacity, improve workflow, and bring progressive outcomes. It is the responsibility of the organizations to make employees understand the working of AI tools and make them feel confident in adopting AI tools.

  1. Replacing Traditional Hiring Practices

We all know the fact that the demand for tech employees is growing and will continue to grow in the coming years. Therefore, companies need to hire the right employees to achieve their current goals and the future ones. For this, they need to create an effective workforce plan for hiring tech talent, leading towards lower costs and higher productivity. 

To overcome the AI talent shortage, organizations must set short-term goals for the project. Additionally, they must map out long-term plans for expansion in case they face a tech shortage in the future. Eventually, they can decide whether to recruit new employees or upskill existing employees is a suitable approach.

  1. Considering Hiring Overseas Tech Talent and Outsourcing

With hiring overseas tech talent and outsourcing strategies, companies get access to cost-effective global expertise. Hiring AI developers from Eastern Europe brings 70% cost effectiveness as compared to the USA. With this approach, you can analyze the skills of both internal and external employees and identify where they lack in terms of AI skills.

You need to explore strategies and approaches to overcome those gaps. With the integration of overseas tech talent, your business enjoys unique skills and expertise, overcoming the IT skills shortage and enhancing your tech development process.

  1. Collaborating With Educational Institutes

Another strategy to overcome the tech worker shortage is to collaborate with academic institutions, especially universities. Offer students internships and training, and upskilling programs to prepare them as AI professionals for future needs.

This way, you can create an excellent talent pool to overcome the technology skills gap in advance. As a result, you will position your organization as a foresighted recruiter.

  1. Building an Ideal Working Environment

Last but not least, you need to fulfill the expectations of your potential employees if you really want to overcome the AI talent shortage. When looking for opportunities, they prioritize a working environment with a supportive and growth-oriented culture.

Moreover, they look forward to developing their AI expertise through progressive projects that help them excel in their career. You can fulfill these expectations by creating a work environment that makes them feel involved, supported, and heard, prioritizing their career development.

Conclusion 

US companies are facing an AI talent shortage, which is more than just a hiring challenge. This shortage comes in the way of productivity, innovation, and growth. As AI is progressing in industries, businesses in the USA must reconsider their strategies to attract, develop, and retain skilled talent. For this, they must plan long-term goals that align with business goals.

The first steps are to upskill and reskill existing employees, promote AI awareness, and update outdated practices. Similarly, hiring overseas talent and outsourcing offers access to domain experts at a budget. Moreover, collaborating with educational institutions creates a talent pool for the future.

Ultimately, overcoming the AI talent shortage is all about creating a balance between developing an internal workforce and collaborating with external expertise.

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