AI Talent Shortage: Build vs Buy Becomes Critical

CIO.com reports that IT hiring has never been more critical, with severe shortages of qualified AI, cybersecurity, and data science professionals. These domains, along with automation and risk management, are the top hiring priorities for CIOs, creating intense competition for scarce talent. Experts warn that organizations failing to prioritize tech recruiting over the next 18-24 months risk significant competitive disadvantage. The article emphasizes the need for a balanced approach: building AI capability internally through upskilling while selectively buying scarce senior talent. It also highlights the importance of skills-based hiring and proactive talent community building, as traditional requisition-based hiring is too slow for today's market. Key signal: AI, cybersecurity, and data science are among the top five areas where CIOs are hiring, yet these roles are the hardest to fill. For hiring leaders, this matters because for CHROs and TA leaders, this signals that the AI talent war is not just about hiring but about building a sustainable talent model. The advice to 'build the majority, buy the scarcity' challenges the common reliance on external hiring. It underscores the urgency of upskilling existing teams to avoid technical debt and missed AI opportunities. The emphasis on skills-based hiring and proactive talent pipelines suggests that traditional recruiting methods are becoming obsolete. Leaders must rethink workforce planning to anticipate future skills needs and create agile talent strategies that can adapt to rapidly changing demands. Teksands view: The 'build vs buy' debate is real, but the smart play is a hybrid: invest in upskilling your current workforce while selectively hiring senior experts who can mentor and set patterns. Waiting to hire fully-formed AI talent is a losing game—by the time you post a job, the best candidates are already off the market. Start building talent communities now, before you need them. And remember, credentials don't matter as much as demonstrated ability; put candidates in real-world scenarios to see what they can actually do.