Gartner technology trends 2027 headlined the Gartner IT Symposium/Xpo in Orlando the week of October 19, 2026. That week, Gartner also released a new IT spending forecast and fresh survey data on how CIOs and CEOs see AI value. Taken together, the message was clear. Spending on AI is accelerating, yet proven value is still rare, and risk is growing faster than returns. Here is a short summary for IT leaders who could not attend.
The 10 Gartner technology trends 2027 in three themes
On October 20, Gartner published its top strategic technology trends for 2027. Overall, the list is organized into three themes. Notably, most of the trends are about governing AI, not just adopting it.
| Theme | Trends |
|---|---|
| Leverage the non-textual AI frontier | Large quantitative models, speech reasoning models, world models |
| Govern the autonomous agent platform | AI context platforms, AI coding agent harness, AI agent identity, autonomous exposure remediation |
| Architect durable agility | SovereignTech, disposable applications, wetware as a service |
A few predictions stand out. For example, Gartner predicts that by 2028, 25 percent of enterprise security breaches will be linked to AI agent abuse. It also predicts that by 2030, more than 75 percent of organizations based outside the United States will adopt digital sovereignty strategies. In addition, Gartner says that organizations that prioritize semantics may improve agentic AI accuracy by up to 80 percent.
IT spending will grow 15 percent in 2027
On October 21, Gartner forecast that worldwide IT spending will reach $7.35 trillion in 2027, up 15 percent from 2026. Within that total, data center systems lead the growth at 55.5 percent, driven by AI-optimized servers. Software follows at 14.6 percent, while IT services grow 4.9 percent.
There is a cost warning inside the forecast, however. Gartner says memory prices have more than doubled over the past 12 months. As a result, server, storage, PC, and device costs are rising, and Gartner expects this “memflation” to last through 2027. For budget owners, that means hardware refresh plans may need more money or more time.
Beyond the Gartner technology trends 2027: the AI value gap
Meanwhile, the survey numbers were sobering. Only 13 percent of CIOs say their enterprise has realized significant or transformational value from AI so far. Specifically, that figure comes from a survey of 2,002 CIOs and technology executives, fielded from May to July 2026. Moreover, Gartner says the chance that any single AI use case succeeds is still about one in five.
CEOs feel the same pressure. In a separate release, Gartner reported that 44 percent of CEOs struggle to demonstrate financial returns from AI. Still, technology remains central to their growth plans.
In the opening keynote, Gartner argued that AI risk is rising faster than AI value. It cited survey data showing that 71 percent of organizations expect to deploy agentic AI within 12 months. Yet only 21 percent have agentic AI governance capabilities in place.
What the leaders do differently
Gartner’s data points to a few habits that separate the CIOs who report strong results:
- They set stopping rules. Organizations with guidelines for when a pilot should not move to production are 2.3 times more likely to be leaders. Yet only 31 percent of CIOs have such guidelines.
- They retire weak AI. Guidelines for abandoning low-value AI already in production make leadership 2.6 times more likely. Only 17 percent of CIOs have them.
- They redesign roles. Explicit plans for a human and agent workforce make leadership 2.4 times more likely, but only 4 percent of CIOs have such plans.
- They plan for cost. In fact, 51 percent of CIOs expect AI to raise the total cost of ownership of technology solutions.
What Gartner technology trends 2027 mean for your plan
First, treat agent governance as a 2027 budget line, not a side project. After all, agent identity, access, and audit trails will matter as much as the agents themselves. Our article on the regulatory floor for AI agents covers the standards that apply.
Second, write stopping rules before you launch the next pilot. Decide what success looks like, who decides, and when a pilot ends. For delivery teams, our playbook for AI agents in SAFe shows how to set autonomy levels by task.
Third, fix the data. Several Gartner technology trends 2027, including AI context platforms, depend on clean and well-defined data. Otherwise, without that foundation, agents will be wrong at scale.
Finally, plan for skills. Gartner found that 40 percent of CIOs expect IT headcount to grow in 2027, especially in cybersecurity and data and analytics. As a result, hiring for those roles is already competitive.
Frequently asked questions
What are the Gartner technology trends for 2027?
Gartner named ten trends in three themes. They include large quantitative models, AI agent identity, AI context platforms, SovereignTech, and disposable applications, among others.
How much will companies spend on IT in 2027?
Gartner forecasts $7.35 trillion in worldwide IT spending in 2027, an increase of 15 percent over 2026. Data center systems and software are the fastest-growing segments.
Why are so few companies seeing AI value?
Gartner points to too many pilots, weak stopping rules, rising AI costs, and little workforce redesign. Leaders set clear criteria and retire low-value use cases.
How VTPMO can help
VTPMO helps IT leaders turn AI plans into governed programs. We set up agent policies and stopping rules, prepare the data underneath, and supply the skilled people to run them. Explore our AI adoption and governance services, data governance and analytics services, and IT staffing services, or contact us to plan your 2027 AI roadmap.
Sources
- Gartner: Top Strategic Technology Trends for 2027 (October 20, 2026)
- Gartner: Worldwide IT Spending Forecast for 2027 (October 21, 2026)
- Gartner: Only 13% of CIOs Report Significant AI Value (October 19, 2026)
- Gartner: Symposium Opening Keynote (October 19, 2026)
- Gartner: 44% of CEOs Struggle to Demonstrate AI Returns (October 20, 2026)