From healthcare and finance to retail and entertainment, AI is shaping how modern enterprises operate, compete, and innovate. According to a recent PWC survey, AI is expected to contribute $15.7 trillion to the global economy by 2030.
Img Src: PWC
Hence, the demand for Artificial Intelligence in software development is at its peak nowadays. Therefore, enterprises face extreme pressure to bring AI capabilities into their operations.
A new Forrester report states that due to the rapid evolution of AI in every sector, enterprises are struggling to hire employees with AI-specific skills. However, they are confident in finding specific talents and retaining workers skilled in the following areas:
- Cloud computing
- Data management
- AI Engineering
Again, hiring AI experts globally is not as easy as it seems. You need to invest a lot and get stuck in prolonged hiring cycles. Therefore, enterprises are shifting their focus towards IT outsourcing to find good AI talent within their budget.
Let’s learn the top reasons why most enterprises choose IT outsourcing to access top AI talent and what could be the future trends of AI in talent acquisition.
The Demand for AI Talent in Enterprises
A Market.us report states that the global AI in talent acquisition market size is expected to reach a value of USD 3.7 billion by 2033 at a CAGR of 15.1% during the forecast period.
The quick adoption of AI solutions gives rise to an immediate need for experts capable of designing, developing, and supporting AI systems. Key positions an AI development company needs to fill include:
Data Scientist
Data scientists can process massive datasets and create models that generate useful predictions and recommendations.
These specialists combine expertise in statistics, programming, and business domain knowledge to extract actionable findings from raw information.
AI Engineers
AI engineers who design and develop the technical infrastructure required to deploy AI systems at scale. Therefore, you can hire AI engineers who make sure AI applications perform optimally and integrate well with company systems.
ML Experts
Machine learning experts concentrate on building algorithms that enable systems to learn and enhance based on experience. Their strong mathematical and programming skills enable them to develop AI
models that improve over time.
Eliminate overhead costs and talent shortages by outsourcing AI development to our expert team.
Challenges Faced By Enterprises in Recruiting AI Talent
Hiring remote AI developers is not an easy task, it has several challenges. The following are the key challenges faced by enterprises:
1. Talent Shortage
The number of experienced AI professionals available globally is scarce. With a small percentage of professionals working on AI, the talent pool is too small to fill the demand.
Enterprises usually battle for the same small pool of specialists, making recruitment even more challenging.
2. High Costs
Hiring top AI engineers comes with a hefty price tag. Average compensation for positions such as data scientists or machine learning engineers may easily cross approx. $120,000 annual level in most countries, not accounting for benefits. But, for small- and mid-size companies, that is usually unsustainable.
3. Time-Consuming Process
Finding, screening, and onboarding skilled AI talent can take months. The prolonged hiring cycle delays AI initiatives and puts companies behind competitors who are already implementing AI.
4. Skill Mismatch
AI is a specialized field requiring both technical expertise in crafting enterprise AI staffing solutions and domain knowledge. Many candidates lack the exact combination of skills businesses need.
For example, a candidate may excel at programming but lack experience in deploying AI models for specific industries.
Also Read – Guide to Protect Your Intellectual Property When Outsourcing
Top Reasons Why Enterprises Switching to IT Outsourcing for Hiring AI Talent
IT outsourcing has been a feasible alternative for businesses struggling to acquire AI experts. It involves working with external suppliers who will offer trained experts to work on specific projects or provide ongoing support.
Global Talent Pool
Outsourcing gives firms access to the international talent pool of AI experts. Instead of being limited to local talent pool, firms can hire AI talent from countries that have an ample supply of qualified professionals.
- Enables collaboration with AI experts specializing in different industries
- Brings in fresh perspectives and innovative problem-solving approaches
- Ensures 24/7 development cycles with teams across different time zones
Cost Efficiency
Outsourcing is generally cheaper than hiring locally. Companies save on wages, hiring costs, and overheads such as office space and equipment.
- Reduces hiring, training, and operational costs
- Avoids long-term commitments and overhead costs
- Enables access to top-tier AI talent at competitive global rates
Flexibility
IT outsourcing enables companies to adjust their teams according to project needs. Outsourcing provides flexibility if a company requires one AI specialist or an entire team.
- Easily scales teams up or down based on project requirements
- Allows businesses to experiment with AI projects
- Ensures quick adaptation to changing technology trends
Focus on Core Business
Firms can direct internal resources to strategic initiatives through outsourcing AI projects rather than spending time and effort on recruitment and training.
- Reduces the burden of managing complex AI processes
- Enhances productivity by offloading non-core tasks
- Accelerates project timelines by utilizing external expertise
Can’t find the right AI talent? We provide access to world-class AI developers, data scientists, and ML engineers.
Specialized Expertise
Software outsourcing services firms employ experts with varied AI expertise, such as Natural language processing, Computer vision, and Predictive analytics. This allows enterprises to find the niche
expertise in developing advanced Artificial Intelligence solutions for specific projects.
- Ensures high-quality AI solutions with industry-specific knowledge
- Brings in experienced teams proficient in handling large projects
- Ensures compliance with data privacy and security standards
Access to Advanced Tools and Technologies
Many outsourcing partners maintain licenses for advanced AI development platforms and tools. Client companies can use these resources without the need to purchase them directly.
- Utilizes advanced data analytics, machine learning, and automation tools
- Ensures implementation of the latest AI innovations
- Utilizes cloud-based AI solutions for scalability and efficiency
Continuous Skill Development
Outsourced AI experts remain updated with industry trends and developments. Businesses reap the benefits of the most advanced AI capabilities without being required to train their staff.
- Keeps up with regulatory changes and evolving AI ethics
- Ensures businesses benefit from industry-leading expertise
- Adapts to emerging AI technologies like generative AI, edge AI, etc.
Also Read – India Is Top IT Outsourcing Destination! Everything You Must Know To Outsource To India
Key Steps to Outsource AI Talent Effectively
To make the most of IT outsourcing services, enterprises need a clear strategy. Here’s how to do it effectively:
1. Assess Your Needs
Identify the AI projects you want to execute. Determine the specific skills and expertise required for these initiatives.
- Document-specific AI capabilities are needed
- Identify which projects require specialized expertise
- Determine timeline and budget constraints
- Consider security and compliance needs
2. Set Clear Objectives
Define the scope of the project, expected outcomes, and deadlines. This ensures alignment between your business and the outsourcing partner.
- Set specific objectives for AI initiatives
- Create detailed project requirements
- Establish measurable success criteria
- Agree on delivery milestones
3. Foster Communication and Collaboration
Establish open communication channels and regular updates to ensure the project stays on track.
- Schedule regular check-ins with outsourced teams
- Use collaboration tools for ongoing interaction
- Share relevant business context and documentation
- Address questions and concerns promptly
4. Prioritize Data Security and Privacy
Work with providers who follow strict data security protocols to protect sensitive information.
- Review security practices of outsourcing partners
- Put proper data handling agreements in place
- Monitor access to sensitive information
- Follow relevant privacy regulations
5. Choose the Right Outsourcing Partner
Look for providers with a proven track record in AI projects. Evaluate their portfolio, client reviews, and technical expertise before finalizing the partnership.
- Evaluate potential providers’ AI expertise
- Check references from similar clients
- Assess cultural alignment
- Review past project examples
Get free consultation and let us know your project idea to turn it into an amazing digital product.
Future of AI Talent and IT Outsourcing
From automating the job description to candidate outreach, AI in talent acquisition is handling everything. According to Kornferry insights, despite of having various challenges, 67% of their surveyed respondents saw AI in talent acquisition as a key trend for 2025.
Img src: Econsultancy
Rising Demand
The need for AI specialists shows no signs of slowing. As more companies launch AI initiatives, competition for talent will intensify further. This will drive increased interest in outsourcing AI consulting services as a talent solution.
Remote Work Acceptance
The widespread adoption of remote work makes companies more comfortable with distributed teams. This reduces concerns about working with outsourced specialists in other locations.
Project-Based Implementation
Many companies are moving toward project-based AI implementation rather than maintaining large permanent teams. This approach aligns well with the flexibility offered by outsourcing.
Also Read – 10+ Reasons Why Small Businesses Should Consider IT Outsourcing
Conclusion
The global lack of AI experts is a major issue for modern enterprises. IT outsourcing is an achievable solution, with access to skilled professionals, cost savings, and adaptability.
From developing machine learning algorithms, implementing NLP systems, or handling massive datasets, IT outsourcing allows businesses to focus on their core competencies while the technical tasks are performed by specialists.
If you are struggling to get the right AI talent, then outsourcing can unleash your potential in AI. By partnering with ValueCoders, you can bridge the gap in AI talent and stay competitive in today’s fast-changing world.
