AI & Future Tech: Page
-
Senior execs worry about AI system lock-in
More than 7 in 10 leaders said switching from their primary AI provider would be challenging, according to an IBM Institute for Business Value study.
By Makenzie Holland • June 26, 2026 -
Enterprises prepare for more AI autonomy despite trust issues
Worker skill sets need to keep pace as businesses become more reliant on AI, a Kyndryl survey found.
By Paige Gross • June 26, 2026 -
Explore the Trendline➔
MF3d via Getty Images
TrendlineAgentic AI
CIOs face an enormous challenge: Fielding a technology that could forever change how enterprise work gets done.
By CIO Dive staff -
CEOs, CIOs clash over AI’s value
C-suite executives see the technology from different vantage points, but maturity and alignment of objectives could bring them closer together, a Protiviti survey found.
By Paige Gross • Updated June 29, 2026 -
The Magnum Ice Cream Company enlists six vendors to build tech stack
The ice cream giant tapped Microsoft, SAP and others to lay the groundwork for its departure from Unilever’s IT systems.
By Makenzie Holland • June 25, 2026 -
Flatter orgs, AI squeeze out junior staffers
Hiring of workers with less than one year of experience fell 65% since 2019 among big tech companies, according to a SignalFire analysis.
By Roberto Torres • June 25, 2026 -
Linux Foundation prepares open standard for AI agent verification
The proposed Agent Name Service will enable enterprises to securely identify agents at scale as they operate across the internet.
By Makenzie Holland • June 24, 2026 -
AI coding will soon get pricier than human developers
Enterprises will likely blow past their IT budgets without proper AI audits and clear objectives, according to Gartner.
By Paige Gross • June 24, 2026 -
Dollar General appoints tech leaders amid executive shuffle
Travis Nixon will now serve as the company's chief data and AI officer while Tom Hutchins will tackle the CTO role.
By Sam Silverstein • June 24, 2026 -
What enterprise CIOs can learn from the public sector on AI spending
A “try and fail fast” strategy can help tech leaders who want to reel in AI budgets, said Dru Rai, CIO for the State of New York.
By Paige Gross • June 24, 2026 -
Demand for AI-ready coders skyrockets in 5 years
Jobs for software developers with AI capabilities grew almost 600% since 2021 as enterprise adoption scaled, Randstad Digital found.
By Roberto Torres • June 23, 2026 -
Neocloud providers will gain greater slice of AI cloud market by 2030
Specialized cloud vendors can serve enterprises as they seek more control over data storage and governance, according to Gartner.
By Makenzie Holland • June 23, 2026 -
AI isn’t solving cybersecurity workforce woes
More than half of cybersecurity professionals said they’re thinking about leaving the industry, according to a new report.
By Eric Geller • June 23, 2026 -
Operating models, outdated systems block companies from AI success
Businesses spending on AI without modernizing legacy systems and reorganizing talent won’t find success, a Publicis Sapient report found.
By Paige Gross • June 22, 2026 -
Overestimating AI threatens legacy mainframe migrations
More than two-thirds of enterprise efforts to transform legacy implementations with AI will fail, leading to disruptions and technical debt, Gartner said.
By Makenzie Holland • June 22, 2026 -
AI lessons learned from 3 SMB banks
Starting with targeted use cases, focusing on underlying data and managing change are key to successful use cases, banking leaders said.
By Roberto Torres • June 22, 2026 -
Sponsored by Perforce Delphix
Why enterprises are rethinking their test data management practices in the AI SDLC
Many enterprises too often struggle to provision data throughout the software and AI-driven development lifecycle when relying on traditional test data management approaches.
June 22, 2026 -
How AI pilots successfully scale to production
Companies that are finding the most ROI in their AI projects learn how to build trust and share their results, said Mani Gill, SVP of product at Boomi.
By Paige Gross • June 18, 2026 -
IT operating models remain unfit for the AI era, CEOs say
Geopolitical volatility and AI proliferation represent major challenges for traditional IT frameworks, according to a Gartner report.
By Scarlett Evans • June 18, 2026 -
What CIOs should know about AI-driven SaaS pricing changes
SaaS vendors are rethinking their pricing models when it comes to AI, moving away from subscriptions and toward usage- or outcome-focused structures.
By Jen A. Miller • June 18, 2026 -
AI adoption correlates with incident frequency, underscoring need for governance
Even organizations that haven’t been breached expect an AI-related incident in the near future, a Jamf survey found.
By Eric Geller • June 17, 2026 -
Insurers recruit AI talent to unlock ROI amid changing roles
The most mature firms have pivoted from point solutions to connected workflows, according to Evident Insights researchers.
By Paige Gross • June 16, 2026 -
CIOs weather role change as AI investments come into focus
Tying business leadership savvy to tech transformation is key for IT executives looking for financial returns, Experis U.S. President Kye Mitchell said.
By Paige Gross • June 15, 2026 -
Sponsored by EnterpriseDB (EDB)
Your AI agents are operating on 15% of the information they need
The answer is moving domain knowledge closer to where inference actually happens—the operational data layer
By Max Romanenko, Chief Engineering Officer, EDB • June 15, 2026 -
Foundation to tackle AI token cost management
The Tokenomics Foundation will bring together enterprises, hyperscalers and frontier model developers to address rising AI costs.
By Makenzie Holland • June 12, 2026 -
Tech vendors partner up to address enterprise AI pain points
From hyperscalers to niche SaaS providers, a steady stream of partnerships has emerged to tackle the AI hurdles companies are running into.
By Roberto Torres • June 12, 2026