AI is changing which human capabilities matter most at work, yet employees are reporting that some of those same capabilities are being eroded, according to a new IBM study.
Gartner forecasts worldwide AI spending will reach $2.67 trillion in 2026, up 49.5% from 2025, with AI infrastructure accounting for nearly $1.5 trillion, or about 56% of the total. For every dollar Gartner expects to be spent on generative AI models, more than $52 will be spent on infrastructure.
Gartner's 2026 Magic Quadrant for Enterprise Storage Platforms reflects a broad infrastructure shift driven by hypervisor changes, cloud-style consumption economics, surging hardware costs, and AI.
According to the latest infrastructure research from Google Cloud, enterprises are encountering a sizable infrastructure gap as agentic AI systems move from experiments and pilots into production.
Cloud Security Alliance's 2026 Top Threats report ranks identity first while adding two AI-related risks to its list of 11 leading cloud security concerns.
As employees increasingly use AI tools, many organizations face a persisting challenge: building the trust needed to sustain adoption.
A new Cloudera survey of 1,500 enterprise technology leaders found widespread AI-driven architecture changes, with governance problems, rising infrastructure costs, and workload placement pushing organizations toward more hybrid approaches.
New research from Caylent, an AI-focused Amazon Web Services Premier Tier Services Partner, found that enterprises are already moving agentic AI beyond pilots and into production environments. At the same time, organizations are putting strict conditions around autonomy, making governance and control the next major challenge for enterprise AI adoption.
Research released around the recent Black Hat USA 2026 conference suggests that artificial intelligence is increasing the speed and scale of cybersecurity activity without replacing the attack methods defenders already face.
AI is moving beyond assisting cybercriminals and beginning to operate within live attacks, according to a new report from Check Point Research. The technology is making sophisticated capabilities faster and more accessible while creating new security risks for businesses deploying their own AI systems.