---
title: "Gartner — GEORecall"
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---

# Gartner

**Type:** organization  
## Related Articles

_No published articles yet._

## Related Claims

- AI agents are reducing reliance on traditional software interfaces, upending everything from legacy user dashboards to pricing models.
- Gartner’s Hype Cycle for AI in Finance identifies three near-term focus areas for CFOs: AI-powered forecasting, automated compliance reporting, and intelligent spend analytics.
- Top supply chain organizations are using AI to optimize processes at more than twice the rate of low performing peers.
- Worldwide shipments of AI PCs will account for 43% of all PC shipments in 2025.
- Three macro trends will impact recruiting technology that HR leaders need to address in 2024.
- Autonomous business and AI layoffs create budget room but do not deliver returns.
- 64% of customers prefer not to use AI for customer service.
- Fewer than 25% of enterprises have scaled AI successfully.
- 40% of enterprise apps will feature task-specific AI agents by 2026
- 40% of analytics projects will embed generative AI by end-2026.
- Gartner forecasts worldwide AI spending to grow 47% in 2026.
- Employee total rewards preferences have shifted toward stability in 2026.
- 70% of CDAOs are responsible for AI strategy and operating model
- Lack of semantics causes inaccurate AI agents and wasted spending.
- Generative AI is driving a high rate of job uncertainty for marketers, per Gartner
- CIOs must prioritize their AI ambition and AI-ready scenarios for the next 12–24 months.
- AI regulations will drive responsible AI initiatives across enterprises.
- 45% of CFOs say their AI investments lean toward productivity
- 62% of enterprises report negative ROI from generative AI investments
- $234 billion in enterprise application software spend is at risk from agentic AI.
- CFOs must address four enterprise AI stalls.
- Half of AI Job Cuts Will Be Reversed by 2027, Gartner Says.
- Gartner says PR budgets will double by 2027 because of AI search.
- Leaders must create four scenarios for human-AI collaboration at work.
- Customer Service and Support Leaders Must Prioritize Blending Human Strengths with AI Intelligence in 2026
- Contract management, AI architecture and governance are key to keeping AI budgets in check, according to Gartner.
- Gartner forecasts worldwide IT spending to grow 14.2% in 2026, totaling $6.37 trillion.
- Four AI deployment classes should be evaluated.
- Gartner raised its 2026 IT spending forecast due to AI demand.
- AI and its main promoters are not enterprise-ready
- Worldwide GenAI smartphone end-user spending will total $298 billion by the end of 2025.
- Finance AI spending is stuck on efficiency gains.
- Worldwide AI spending will total $2.5 trillion in 2026.
- AI coding costs will surpass the average developer’s salary by 2028 as token consumption surges.
- AI is reshaping HR strategy and operations in real time.
- More than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-Enabled Applications by 2026
- Enterprise dependence on AI will keep overall costs increasing exponentially even as per-token prices fall, according to Gartner.
- AI inference costs per agentic workflow will increase more than fivefold through 2028
- Engineering roles aren’t disappearing, but more companies will deploy smaller teams with an expanded focus on product, UX and agent experience goals, according to Gartner.
- Gartner’s Hype Cycle identifies the top AI innovations for 2025 based on maturity and adoption trajectory.
- Gartner declares ‘agentic AI’ the next step function in enterprise AI evolution.
- Most privacy incidents will stem from AI-generated inferences by 2029.
- VMware and Nutanix are battling for HCI software supremacy, per Gartner.
- Generative AI is now the most frequently deployed AI solution in organizations.
- Gartner forecasts worldwide AI chips revenue to grow 33% in 2024.
- Enterprises are now spending more on infrastructure to operate the technology at scale rather than on training models, according to Gartner.
- AI will touch all IT work by 2030
- Only 22% of organizations have successfully scaled AI across multiple business units.
- OpenAI experienced a model breach

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