Reveal IT Talent Survey: Top Technology Roles and Skills for 2026

Talent shortages emerged as the #1 software development challenge: 50% of organizations citing difficulties in recruiting and retaining skilled technical staff; 80% reported that talent shortages are affecting their operations. The demand is acute for AI expertise, with 56% planning to invest in people to build AI capabilities. Nearly half of large enterprises (47%) say shortages are limiting their ability to meet goals.

Artificial intelligence has become a dominant force in hiring. In 2025, 80% of tech leaders used AI in software development, and 77% named expanding AI a top priority for 2026. This adoption is driving workforce demand: 48% of companies report AI-related job creation versus 18% reporting layoffs. AI expertise remains the top hiring priority, cited by 89% of organizations in 2025 and 91% in 2026. Productivity gains reinforce this trend, with 66% of organizations attributing improvements to AI. As AI embeds into workflows, demand is rising for professionals who can build, deploy, and manage intelligent systems.

The survey highlights several hard-to-fill roles, led by AI engineers (39%) and cybersecurity engineers (38%). Cloud engineers (25%) and data analytics professionals (24%) also rank among the most challenging positions to staff. These shortages affect organizations of all sizes but are most acute in large enterprises, where nearly half report talent gaps limiting their ability to meet business goals. Only 7% of respondents report no hiring difficulties, underscoring a widespread skills shortage. Demand is driven by the need for AI engineers to build and deploy intelligent systems, cybersecurity experts to address rising threats, and cloud and data professionals to support scalable infrastructure and analytics.

The survey highlights the most in-demand technical skills, led by Python (56%), reflecting its central role in AI, automation, and data science. AI-related expertise, including machine learning, follows at 47%. Other key skills include Java (34%), cybersecurity (33%), and C/C++. SQL, .NET, JavaScript frameworks, and web development tools also remain relevant. Demand varies by company size: smaller firms prioritize C/C++ and cybersecurity for infrastructure needs, while larger organizations emphasize Python and AI to support advanced digital initiatives. Overall, while core programming skills remain essential, AI and automation expertise increasingly set top candidates apart.

Business intelligence and embedded analytics have become core infrastructure in most organizations. 85% of respondents use BI tools internally, and 76% deploy embedded analytics. In addition, 84% expect their focus on analytics to increase in 2026.

As AI adoption accelerates, organizations are paying greater attention to ethical and governance concerns. Half of respondents cite ethics and responsible AI use as major challenges, while 48% identify security and privacy risks. In response, many companies have strengthened privacy policies and introduced ethical guidelines.