GoKawiilSoftware leaders say AI growth hinges on tying features to customer workflows
Industry executives from firms including Queue Associates, Envision IT and Think AI argue that software companies must link AI tools to specific operational problems and measurable results to turn customer interest into sustained revenue. The piece cites Gartner's forecast of $1.468 trillion in global software spending for 2026, a 15.5% year-over-year rise, and IDC's projection of roughly $497 billion in AI infrastructure spending in 2026, growing about 56% annually and surpassing $1 trillion by 2029.
GoKawiil's interpretation of the reporting above, not reported fact.
The large spending forecasts suggest substantial capital is flowing toward AI, but the executives quoted imply that demand alone won't guarantee adoption unless vendors demonstrate concrete operational value. This framing positions software companies to compete less on raw AI capability and more on integration and proven outcomes, according to the leaders cited.
- Executives say AI adoption succeeds when tied to specific workflows and measurable outcomes, not just flashy demos.
- Gartner forecasts $1.468 trillion in global software spending for 2026, up 15.5% year over year.
- IDC projects AI infrastructure spending near $497 billion in 2026, growing about 56% annually toward $1 trillion by 2029.
Source: entrepreneur.com — Kori Hale, 2026-10-30
Published there as: “How Software Development Leaders Can Turn AI Into Business Growth”
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