Mid-Market Firms Waste 25% of AI Budgets on Complexity, Freshworks Report Finds
Event summary
- Freshworks' survey of 12,021 IT professionals found mid-market firms lose 25% of AI budgets to complexity before seeing ROI.
- 80% of mid-market IT leaders report AI outputs introduce 'noise, errors, or rework' (termed 'AI slop').
- US mid-market firms waste an estimated $16.29 billion annually on making AI functional.
- Only 15% of mid-market firms have AI integrated across core business operations.
- 34% of mid-market IT leaders prioritize workflow integration for AI tools over the next 2-3 years.
The big picture
The report highlights a growing disconnect between AI's promise of productivity gains and the reality of implementation challenges for mid-market firms. As these companies represent a significant portion of the economy, their struggles with AI adoption could slow broader digital transformation efforts. The findings suggest a market opportunity for vendors that can simplify AI deployment and integration.
What we're watching
- Integration Priorities
- Whether mid-market firms can accelerate AI adoption by prioritizing out-of-the-box solutions over custom builds.
- Governance Gaps
- The pace at which mid-market firms implement formal AI governance frameworks to combat tool sprawl.
- Vendor Shifts
- How AI software providers adapt their products to address the 'complexity tax' faced by mid-market buyers.