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Research Apr 2026
... Physical AI offers a wider opportunity for technology providers in the physical economy. Product leaders must prioritize investments in foundation models, collaborate with robotics partners, and focus on infrastructure readiness to realize the value of enhanced real-world intelligence and autonomy. ...

Analyst(s):   Himanshu Kumar Ojha
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Premium Research Apr 2026
... risk trading short-term results for long-term disappointment. This research shows how to monetize AI today with the flexibility to adjust the pricing model as market and customer expectations evolve. Insights at a Glance Strategic Planning Assumption Issue Impact Implications Contributors Gartner Recommended ...

Analyst(s):   John Santoro   |   Ron Burns   |   Marissa Schmidt
Premium Research May 2026
... shaped by multiple interacting variables. Simple pricing choices such as subscription versus consumption determine how costs scale and why similar models produce very different outcomes in practice. Insights at a Glance Issue Impact How AI Pricing Is Structured — And Why Cost Behaves Unexpectedly Gartner ...

Analyst(s):   Andy Rowsell-Jones   |   Shruthi Shankel   |   John Santoro   |   Lauren Wheatley   |   Akanksha Pandey   |   Bill Ryan   |   Hannah Decker
Research Apr 2026
... Access Insights Already a Gartner client? The perennial focus to optimize costs has become more complex due to changes in contracting and pricing models resulting from AI. Sourcing, procurement, and vendor management leaders should leverage this resource playbook to guide software and SaaS cost optimization ...

Analyst(s):   Rebecca Martin
Research Jun 2026
... misaligned with evolving business and technical needs, leading to increased costs and risks. Heads of enterprise applications can use Gartner’s TIME model to assess, prioritize, and improve application fitness. Insights at a Glance Impact Actions How to Execute Success Measures Gartner Recommended Reading ...

Analyst(s):   Patrick Connaughton   |   Tad Travis   |   Graham Wilkins
Premium Research Jun 2026
... D&A leaders use this tool to correct elements of the artificial intelligence governance model that fail to produce consistent, enforceable decisions. Use this checklist-driven tool to identify missing, misapplied, or out-of-sequence governance artifacts and properly define and sequence artifacts. When ...

Analyst(s):   Claire Song   |   Joel Backaler   |   Antonia Roesler   |   Priya Sundararaman   |   Sumit Agarwal   |   JC Martel, PhD
Research Jun 2026
... Access Insights Already a Gartner client? Enterprises are broadly adopting reasoning models across business functions, prioritizing practical, efficiency-driven use cases that deliver immediate value. Product leaders must focus on high-ROI use cases while building composable capabilities to expand into ...

Analyst(s):   Walker Black   |   Danielle Casey   |   Vibha Chitkara   |   Evan Zeng   |   Radu Miclaus   |   Aapo Markkanen
Research May 2026
... Access Insights Already a Gartner client? As service models move toward automation and outcomes, quality must evolve beyond interaction scoring. Leaders need quality intelligence (QI) that evaluates whether the end-to-end service system enables customer progress and delivers value. Insights at a Glance ...

Analyst(s):   John Quaglietta   |   Jonathan Schmidt
Premium Research May 2026
... engineering leaders must transition to AI-augmented low-code application platforms to shorten the gap from pilot to production. By evolving beyond visual modeling with generative, agentic approaches, organizations can achieve faster deployment cycles and maintain strong governance. Insights at a Glance Strategic ...

Analyst(s):   Adrian Leow
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