AI continues to deliver measurable productivity and performance gains across organizations, but global economic uncertainty and geopolitical risk are reshaping technology investment, hiring, and innovation strategies for 2026, according to the annual Reveal Top Software Development Challenges Survey released by Infragistics.
“The Reveal survey shows that AI is clearly delivering productivity gains, but today’s economic reality is raising the bar for every technology investment,” says Casey Ciniello, Reveal and Slingshot senior product manager, Infragistics. “The data signals a decisive shift from experimentation to disciplined execution, as talent shortages, tighter budgets, and global instability force tougher choices about where—and how fast—to scale. The organizations that win will be those that focus AI investment on clear, near-term business results.”
Key takeaways:
· Recruiting and retaining skilled technology talent has emerged as the single biggest business challenge for 2026, cited by 50% of respondents, up sharply from 34% in 2025.
· 42% of respondents cited incorporating AI as a major business challenge. Additional business challenges include increasing employee productivity (54%), economic cutbacks (35%), limited resources (31%), and the inability to make data-driven decisions (12%).
· In 2025, 53% of organizations reported productivity gains, 47% took on new projects, and 46% increased adoption of new technologies. These results build on strong momentum from 2024, when a majority of companies reported revenue growth, increased headcount, and rising demand. Heading into 2026, however, execution capacity—not demand—is emerging as the primary limiter of growth.
· Technology-driven initiatives were the primary drivers of productivity gains in 2025. Two-thirds (66%) of respondents credited AI adoption, while similar percentages pointed to embedded analytics (62%), automation of repetitive tasks (62%), and investments in skills development (63%) as the engines behind rising productivity.
· One-quarter of organizations plan to cut spending in 2026 due to a weakening economy. Inflation (60%), rising costs (58%), economic instability (53%), tariffs (50%), and higher interest rates (40%) are among the top pressures influencing planning decisions. This creates a growing disconnect between the technologies that drive performance and the budget constraints that may limit further investment.
· More than half of technology leaders report delaying launches or expansions (54%), while 43% are reducing innovation budgets and 35% are changing development team locations. Only 17% say global conditions have had no impact on their plans.
· In 2026, the biggest software development challenge is no longer whether to use AI, but how to integrate it safely and effectively. Nearly six in 10 respondents (57%) cite AI integration into the development process as their top challenge, up from 44% in 2025. Security threats (49%) and data privacy and regulatory compliance (48%) closely follow, underscoring the increasing risk and governance complexity associated with AI-driven systems.
· Managing cloud applications and heavy workloads (29%) and maintaining legacy software (27%) reflect the realities of hybrid environments where innovation must coexist with aging infrastructure. Compared with 2025, the data shows a clear shift from exploratory AI concerns, such as AI-generated code quality, to full lifecycle integration, security, and compliance pressures.
· More than three-quarters of respondents (77%) plan to increase their use of AI in 2026, reinforcing its central role in productivity and competitiveness.
· Notably, revenue ambitions have doubled year over year: 46% plan to increase revenue in 2026, compared with 23% in 2025. Plans to adopt new applications (40%), expand into new markets (35%), and develop new applications (34%) indicate a shift from internal optimization toward outward, commercially focused growth. AI investments are increasingly expected to deliver tangible, measurable business outcomes rather than experimental gains.
· 76% of organizations use embedded analytics internally, and 84% expect their BI focus to increase in 2026. The emphasis is shifting from visualization to action: organizations cite better decision-making, faster trend identification, productivity gains, and automated analysis as top priorities.
· Most companies now embed analytics directly into applications rather than relying on standalone BI tools. While 42% still build in-house, a majority (54%) turn to vendors to accelerate delivery, reduce costs, and avoid overburdening already stretched teams.
“The surge in embedded analytics adoption signals a turning point for enterprise intelligence,” Ciniello says. “As economic uncertainty raises scrutiny on technology spend, CIOs and CTOs are redefining the value of analytics. Embedded BI is increasingly favored because it shortens the path from insight to action, reduces manual effort, and delivers ROI by driving faster decisions and unlocking productivity at scale, all within core applications.”
