Gartner

02 Over $3.5 trillion of AI infrastructure spending could be exposed to impairment by the end of 2030

03 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.

04 Top supply chain organizations are using AI to optimize processes at more than twice the rate of low performing peers.

05 Vendor-led FDE initiatives face cost and efficacy issues that will lead most companies to abandon the model by 2028, according to Gartner.

06 Worldwide shipments of AI PCs will account for 43% of all PC shipments in 2025.

07 Three macro trends will impact recruiting technology that HR leaders need to address in 2024.

08 Autonomous business and AI layoffs create budget room but do not deliver returns.

09 64% of customers prefer not to use AI for customer service.

10 Fewer than 25% of enterprises have scaled AI successfully.

11 40% of enterprise apps will feature task-specific AI agents by 2026

12 AI is creating new roles and skills in data & analytics

13 Just 4% of tech leaders have plans in place to retool roles for an agentic-human workforce, a Gartner survey found.

14 40% of analytics projects will embed generative AI by end-2026.

15 Gartner forecasts worldwide AI spending to grow 47% in 2026.

16 Employee total rewards preferences have shifted toward stability in 2026.

17 70% of CDAOs are responsible for AI strategy and operating model

18 Lack of semantics causes inaccurate AI agents and wasted spending.

19 Organizations may face an artificial intelligence (AI) reckoning over the next year.

20 Generative AI is driving a high rate of job uncertainty for marketers, per Gartner

21 CIOs must prioritize their AI ambition and AI-ready scenarios for the next 12–24 months.

22 Gartner forecasts worldwide AI spending to grow 49.5% in 2026.

23 AI regulations will drive responsible AI initiatives across enterprises.

24 45% of CFOs say their AI investments lean toward productivity

25 62% of enterprises report negative ROI from generative AI investments

26 $234 billion in enterprise application software spend is at risk from agentic AI.

27 CFOs must address four enterprise AI stalls.

28 Gartner identifies the top trends for data and analytics.

29 AI Risk is Rising Faster Than AI Value

30 Half of AI Job Cuts Will Be Reversed by 2027, Gartner Says.

31 Gartner says PR budgets will double by 2027 because of AI search.

32 Leaders must create four scenarios for human-AI collaboration at work.

33 Customer Service and Support Leaders Must Prioritize Blending Human Strengths with AI Intelligence in 2026

34 Contract management, AI architecture and governance are key to keeping AI budgets in check, according to Gartner.

35 The AI boom is nearly $5 trillion short of paying for itself, Gartner says

36 Gartner forecasts worldwide IT spending to grow 14.2% in 2026, totaling $6.37 trillion.

37 Four AI deployment classes should be evaluated.

38 Gartner raised its 2026 IT spending forecast due to AI demand.

39 AI and its main promoters are not enterprise-ready

40 Worldwide GenAI smartphone end-user spending will total $298 billion by the end of 2025.

41 Finance AI spending is stuck on efficiency gains.

42 Worldwide AI spending will total $2.5 trillion in 2026.

43 AI coding costs will surpass the average developer’s salary by 2028 as token consumption surges.

44 Gartner identifies the top strategic technology trends for 2027.

45 AI is reshaping HR strategy and operations in real time.

46 More than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-Enabled Applications by 2026

47 Enterprise dependence on AI will keep overall costs increasing exponentially even as per-token prices fall, according to Gartner.

48 AI cost volatility poses material margin risk for CFOs

49 CFOs need realistic AI time-to-value expectations.

50 AI inference costs per agentic workflow will increase more than fivefold through 2028

51 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.

52 Spending on AI is becoming almost impossible for businesses to budget.

53 Gartner’s Hype Cycle identifies the top AI innovations for 2025 based on maturity and adoption trajectory.

54 Gartner declares ‘agentic AI’ the next step function in enterprise AI evolution.

55 Most privacy incidents will stem from AI-generated inferences by 2029.

56 VMware and Nutanix are battling for HCI software supremacy, per Gartner.

57 Gartner identifies the top five actions for CISOs to take by end of 2026.

58 Generative AI is now the most frequently deployed AI solution in organizations.

59 Gartner forecasts worldwide AI chips revenue to grow 33% in 2024.

60 Enterprises are now spending more on infrastructure to operate the technology at scale rather than on training models, according to Gartner.

61 AI will touch all IT work by 2030

62 Only 22% of organizations have successfully scaled AI across multiple business units.

63 OpenAI experienced a model breach

64 Atos was recognized as a Tech Innovator in Agentic AI by Gartner®

65 Gartner identifies six steps to manage AI agent sprawl.