ComputerWorld AI·
When it comes to AI deployments, IT leaders are often caught in an awkward middle space, trying to reconcile conflicting directives from senior management with constantly changing AI models, capabilities, and costs; data governance and security needs; and the limitations of their own team. “Very few real benefits can be attained by simply purchasing an AI product and giving it to employees. Vendors have been overselling that fallacy for the past three years,” said Nader Henein, a Gartner VP analyst. “The reality is that strong AI value and consistent ROI are almost always a result of deep and intentional integration of AI capabilities into existing workflows. For that you need specialized teams, which do not come cheap, and organizations have been recruiting those teams in a variety of ways,” Heinen said. Among the options available to IT leaders looking for help with AI deployments are traditional IT consultancies, AI-specific consultancies, and independent contractors. Large enterpri
Read full articleInsider Brief PRESS RELEASE — DriveNets, a leader in large-scale networking solutions, has announced it has completed a $410 million Series D financing round, reaching $1 billion total capital raised. With more than $1B in secured business and having been cash-flow positive since 2025, the company will use the additional funding to scale inventory to support its […]
OpenAI’s latest governance frameworks offer enterprise leaders a structured blueprint for scaling safe and compliant AI deployments globally. The adoption of large language models has steadily progressed towards requiring sustainable, commercial-grade architecture. OpenAI has released its Frontier Governance Framework (FGF), documenting how the organisation addresses systemic risk assessment and mitigation. The framework maps directly to […] The post Scaling safe enterprise AI with OpenAI governance frameworks appeared first on AI News.
OpenAI is named a leader in the 2026 Gartner Magic Quadrant for Enterprise AI Coding Agents, with Codex recognized for innovation and enterprise-scale deployment.
AI spending hits $2.5T in 2026 as new tools enable freelancers to earn income through automation and trading. Artificial intelligence spending is projected to hit $2.5 trillion globally in 2026, according to Gartner, and the majority of that investment is…
A Vectra AI CEO perspective on the 2026 Gartner Magic Quadrant for NDR, and what it reveals about the future of AI-driven network security.
$2.59 Trillion in AI Spending Dominated by Vendors and Hyperscalers, with Enterprises Yet to Flex Spending Potential. STAMFORD, Conn., May 19, 2026 — Worldwide spending on AI is forecast to total […] The post Gartner Forecasts Worldwide AI Spending to Grow 47% in 2026 appeared first on AIwire.
Businesses tend to eye AI spending as a way to reduce headcount, but firms that cut staffers as a result of AI are doing no better than those who don’t, according to new Gartner research. Gartner recently surveyed 350 global business leaders at large organizations already using AI agents and intelligent automation tools and found that 80% of them reported a lowered headcount as a result of AI initiatives — in some cases by up to 20%. But those layoffs appear to be less beneficial than senior leaders might assume. “There’s no connection or correlation between people who are achieving ROI and layoffs,” said Helen Poitevin, distinguished vice president analyst at Gartner, adding that labor reduction is “not the best” ROI metric. Other factors such as revenue, growth, and time to market are more effective in achieving a strong ROI. “Those who only look to the workforce tend to be the ‘laggards,’ because they’re not going after the broader set of value that they can get to,” she said. Th
The move follows the Trump administration’s feud with Anthropic.
