As enterprises surmount cost and data hurdles on the path to AI adoption, talent attraction remains a stumbling block. Skilled AI workers are scarce and in demand.
Ranking | Roles |
1 | AI / ML analyst |
2 | Business intelligence developer |
3 | Cybersecurity engineer |
4 | Data engineer |
5 | DevOps engineer |
6 | Help desk — Tier 2 |
7 | IT project manager |
8 | Network / cloud engineer |
9 | Software engineer / developer |
10 | Systems administrator |
SOURCE: Robert Half
To respond to the deficit in experienced AI specialists, CIOs are turning inward. Businesses plan to deploy internal upskilling efforts to close the gap, elevating in-house rank and file.
Global executives view tech talent scarcity as a key global risk, alongside economic uncertainty and cyber threats, according to data from consulting firm Protiviti. The company surveyed 1,215 board members and C-suite executives for a report published earlier this month.
The ongoing search for specialized talent is reflected in an expansion of existing IT jobs as well as open positions.
Nearly a quarter million technology occupations were added by employers across industries in January, according to a CompTIA review of U.S. Bureau of Labor Statistics. The IT trade group also found active job postings rose last month, reaching 476,000 active open roles.
More than half of leaders are launching AI training efforts this year to address the talent crunch, according to a Revature survey of HR and IT decision-makers.