The New Talent Strategy for SMBs in the Age of AI
By: Shanil Kaderali
By: Shanil Kaderali
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Artificial intelligence (AI) is rapidly transforming how small and midsize businesses (SMBs) operate. SMBs face a critical constraint: a lack of talent and skills needed to fully realize AI’s potential. This growing gap between technology and workforce readiness is forcing organizations to rethink how they recruit, train, and retain employees.
AI Adoption Is Growing Faster Than Talent Readiness
AI is already being used across SMBs to automate workflows, enhance recruitment, and improve training processes. For example, companies are leveraging AI to screen large volumes of job applications in minutes, reducing both time and operational costs. Despite these efficiencies, the rapid adoption of AI is also creating unintended consequences, such as overwhelming HR systems and overlooking qualified candidates.
Survey data reflects strong momentum 76% of SMBs plan to increase AI usage within the next year and 79% say AI is driving the need to upskill employees according to the Harvard Business Review.
However, organizational readiness remains low: Only 19% feel highly prepared to acquire AI talent and 56% struggle to identify which AI skills they need.
This disconnect highlights a key challenge: technology adoption is outpacing workforce capability. Additionally, there are emerging generational differences in attitudes toward AI, further complicating adoption strategies.
Survey data reflects strong momentum 76% of SMBs plan to increase AI usage within the next year and 79% say AI is driving the need to upskill employees according to the Harvard Business Review.
However, organizational readiness remains low: Only 19% feel highly prepared to acquire AI talent and 56% struggle to identify which AI skills they need.
This disconnect highlights a key challenge: technology adoption is outpacing workforce capability. Additionally, there are emerging generational differences in attitudes toward AI, further complicating adoption strategies.
AI Is Transforming Job Roles and Skill Requirements
AI is not simply adding new responsibilities, it is fundamentally reshaping how work is performed. Traditional job roles are evolving into hybrid roles that combine multiple skill sets, including Technical capabilities (AI tools, data literacy) balanced with Business and domain knowledge
Organizations are already experiencing these shifts: 78% are actively evaluating where AI can be applied and 49% expect significant changes in roles and responsibilities.
As AI becomes embedded into everyday workflows, nearly all roles, not just technical ones—are evolving. Positions such as business analysts, project managers, Marketing Managers, Recruiters and Operations managers increasingly require a blend of analytical, technical, and interpersonal capabilities.
Organizations are already experiencing these shifts: 78% are actively evaluating where AI can be applied and 49% expect significant changes in roles and responsibilities.
As AI becomes embedded into everyday workflows, nearly all roles, not just technical ones—are evolving. Positions such as business analysts, project managers, Marketing Managers, Recruiters and Operations managers increasingly require a blend of analytical, technical, and interpersonal capabilities.
Key Challenges in Building AI-Ready Workforces
SMBs face multiple barriers in acquiring and developing AI talent:
1. Talent Shortage
AI-skilled professionals are in high demand and have a limited supply. Larger organizations often outcompete SMBs with higher salaries and better resources.
2. Training Constraints
49% anticipate difficulty upskilling employees. Many AI training programs are expensive and time-intensive
3. Unclear Skill Needs
Because many SMBs are still exploring AI use cases, they struggle to define which skills are required and when they are needed.
4. Hiring Difficulties
37% report challenges evaluating candidates’ AI capabilities and over One-third struggle to find qualified candidates
1. Talent Shortage
AI-skilled professionals are in high demand and have a limited supply. Larger organizations often outcompete SMBs with higher salaries and better resources.
2. Training Constraints
49% anticipate difficulty upskilling employees. Many AI training programs are expensive and time-intensive
3. Unclear Skill Needs
Because many SMBs are still exploring AI use cases, they struggle to define which skills are required and when they are needed.
4. Hiring Difficulties
37% report challenges evaluating candidates’ AI capabilities and over One-third struggle to find qualified candidates
Key Challenges in Building AI-Ready Workforces
SMBs face multiple barriers in acquiring and developing AI talent:
1. Talent Shortage
AI-skilled professionals are in high demand and have a limited supply. Larger organizations often outcompete SMBs with higher salaries and better resources.
2. Training Constraints
49% anticipate difficulty upskilling employees. Many AI training programs are expensive and time-intensive
3. Unclear Skill Needs
Because many SMBs are still exploring AI use cases, they struggle to define which skills are required and when they are needed.
4. Hiring Difficulties
37% report challenges evaluating candidates’ AI capabilities and over One-third struggle to find qualified candidates
1. Talent Shortage
AI-skilled professionals are in high demand and have a limited supply. Larger organizations often outcompete SMBs with higher salaries and better resources.
2. Training Constraints
49% anticipate difficulty upskilling employees. Many AI training programs are expensive and time-intensive
3. Unclear Skill Needs
Because many SMBs are still exploring AI use cases, they struggle to define which skills are required and when they are needed.
4. Hiring Difficulties
37% report challenges evaluating candidates’ AI capabilities and over One-third struggle to find qualified candidates
Emerging Strategies to Close the Talent Gap
Despite these challenges, SMBs are adopting several strategies to build AI-ready teams:
Upskilling Existing Employees
Upskilling is seen as essential, with 79% of organizations prioritizing it. Cost-effective approaches include:
These skills enable employees to effectively collaborate with AI and make informed decisions.
Upskilling Existing Employees
Upskilling is seen as essential, with 79% of organizations prioritizing it. Cost-effective approaches include:
- Practical experience is often valued more than formal certifications. At CareerAve, we have a team of HR professionals who advise on upskilling strategies.
- As AI automates routine tasks, uniquely human capabilities are becoming more valuable, including Creativity, Critical thinking and Emotional intelligence
These skills enable employees to effectively collaborate with AI and make informed decisions.
Leveraging Partnerships and Alternative Talent Sources
To overcome talent shortages, SMBs are: Forming strategic partnerships; Recruiting from adjacent industries (e.g., gaming for technical talent) and exploring flexible workforce models.
Business Benefits and Competitive Advantage
Importantly, SMBs may have a competitive advantage in the AI era due to their:
However, realizing these benefits depends heavily on acquiring and developing the right talent.
- Agility and flexibility
- Smaller organizational structures
- Ability to experiment and adapt quickly
However, realizing these benefits depends heavily on acquiring and developing the right talent.
Conclusion
AI presents a powerful opportunity for SMBs to enhance performance and remain competitive. However, the primary barrier to success is not technology, it is talent.
Organizations must adopt a new talent strategy that balances:
Ultimately, the most successful SMBs will be those that align their workforce strategies with the evolving demands of AI. By investing in both people and technology, they can unlock AI’s full potential and thrive in an increasingly digital economy.
Organizations must adopt a new talent strategy that balances:
- Technical AI capabilities
- Continuous learning and upskilling
- Human judgment, creativity, and domain expertise
Ultimately, the most successful SMBs will be those that align their workforce strategies with the evolving demands of AI. By investing in both people and technology, they can unlock AI’s full potential and thrive in an increasingly digital economy.
