Gartner® Identifies Fundamental Shift in AI Services Market; Cites KUNGFU.AI Among Emerging AI-Native Providers
FOR IMMEDIATE RELEASE
Gartner® Identifies Fundamental Shift in AI Services Market; Cites KUNGFU.AI Among Emerging AI-Native Providers
New research describes "crucible moment" forcing traditional consulting models to evolve or face irrelevance
AUSTIN, Texas – January 20, 2026 – Gartner has published new research describing what it calls a "crucible moment" for the services industry, as AI fundamentally disrupts traditional consulting business models built on labor leverage, time-based pricing, and software implementation.
In its January 2026 research note "The Crucible Moments Facing Services General Managers," Gartner discusses how AI is reshaping core aspects of how services companies operate—compressing project timelines through automation, shifting purchasing decisions from IT to business leadership, and forcing a pivot from selling tools and resources to delivering measurable business outcomes.
The report notes that this transformation creates an opening for companies that are "leveraging AI for direct impact through data-integration-focused forward-deployed engineers" which we believe aligns KUNGFU.AI's approach to client delivery.
The AI Services Crucible
Gartner research identifies five fundamental shifts reshaping the services landscape:
- Economic buyers in the business are replacing IT as the primary decision-makers for AI investments
- Answers and results are replacing discrete tools and applications as the expected deliverable
- Value-based pricing is replacing cost-plus models tied to labor rates
- Enterprise-specific solutions are gaining preference over market-based platforms
- Intelligence at scale is required beyond individual consultant expertise
According to the report, AI-services related revenue is forecast to more than double to $515 million by 2029, with a compound annual growth rate of 16.2%. However, large service providers have seen revenue growth slow to mid-single digits since the pandemic, indicating a need to evolve their business models to return to growth.
KUNGFU.AI's Response to Market Evolution
KUNGFU.AI was founded in 2017 as an AI-native consultancy, predating the generative AI wave by structuring engagements around production system delivery rather than pilots, proof-of-concepts, or software installation.
We believe the company's model reflects several principles Gartner identifies as critical for the new services paradigm:
- Direct business engagement: KUNGFU.AI works with boards, CEOs, and C-suite leaders on business problems, not IT implementation projects
- Forward-deployed engineering: Teams embed within client environments to integrate data and build production systems, rather than handing off designs for client IT to execute
- Outcome-aligned commercials: Engagement structures tie pricing to value delivery, with accountability for systems that perform in production
- Strategic discipline: The firm maintains a practice of declining work that should not be built, focusing resources on initiatives with clear paths to measurable business impact
"In our view, the Gartner research articulates what we've experienced directly: enterprises don't fail at AI because they lack technology access. They fail because traditional consulting models optimize for the wrong outcomes," said Stephen Straus, CEO of KUNGFU.AI. "Being named alongside this shift, in our view, validates our approach. More importantly, it gives enterprise leaders a framework for evaluating whether their current AI initiatives are structured to survive this crucible moment."
Market Implications
The research has immediate implications for enterprise leaders evaluating AI services partnerships:
For procurement: Traditional vendor evaluation criteria—billable rate cards, offshore ratios, platform partnerships—we feel may misalign with the outcomes Gartner identifies as critical. New assessment frameworks should evaluate providers' ability to engage business buyers, price to value, and deliver production systems.
For AI strategy: The report suggests that enterprises treating AI as an IT project, managed through traditional governance and procurement processes, face structural disadvantages against competitors who treat AI as a business transformation led by economic buyers.
For existing engagements: Leaders should assess whether current AI work is designed to produce deployable systems that change business operations, or whether it optimizes for other outcomes like vendor relationship management, knowledge transfer, or risk mitigation through incremental pilots.
About the Research
"The Crucible Moments Facing Services General Managers" was published by Gartner in January 2026. The report analyzes how AI technology is disrupting service provider business models across strategy, operations, and economics.
The full report is available to download here.
