Gartner expects spending on AI agents and assistants to more than double to $65.5bn next year, while many firms cannot measure the return. Splunk executives who described that gap were selling a tool to close it, and the tool leaves buyers to define what an agent's work is worth.
Publishers:itwire.com
Reality
- Evidence40
- Adoption
- Insufficient
- Hype gap+30
- Incentives80
- Confidence45
IDC credits multi-agent deployments for European AI growth it puts at 35% a year through 2030, arriving while most high-risk obligations are already in force and the remainder apply from 2 August 2027.
Reality
- Evidence45
- Adoption32
- Hype gap+28
- Incentives70
- Confidence45
Gartner puts this year's AI spending at $2.59 trillion, but the software and services layer the labs actually compete for is barely $1 trillion of it, which is what the compressed release calendar is defending.
Reality
- Evidence54
- Adoption31
- Hype gap+33
- Incentives76
- Confidence55
Atlassian's research leaves 96% of companies short of dramatic gains at the same time enterprise AI budgets double, which turns the 2026 spending line into a question about who owns workflow redesign.
Reality
- Evidence26
- Adoption
- Insufficient
- Hype gap+30
- Incentives80
- Confidence30
Gartner expects global AI spending to rise 46% in 2026. The best model in one CFO's accounting test finished 80% of tasks, and that number decides where automation stops.
Reality
- Evidence22
- Adoption
- Insufficient
- Hype gap+28
- Incentives62
- Confidence33