Despite saving hours weekly, most IT professionals report unchanged or increased workloads, according to a SolarWinds survey. Respondents said they have used AI in their work for an average of roughly 15 months. AI gains are materializing, but IT professionals say workload reductions aren’t keeping pace. Teams reported saving 2.7 to 3.3 hours weekly across core tasks, yet 71% of respondents said their overall workload has stayed the same or increased.

Despite concerns over the value, security risks and workforce impacts of AI, the average number of AI agents nearly tripled across organizations from February 2025 to April 2026, according to a Salesforce report published last week. The customer relations management software vendor analyzed usage data from a cohort of businesses using Agentforce and other Salesforce products, as well as survey data from almost 5,000 respondents across seven countries.

In April, a Claude-powered Cursor coding agent deleted a startup’s consumer database and its backups in just nine seconds while working on a routine task. Experts blamed lax security, model design and even a system glitch. The agent confessed to the company’s founder it had wiped the data. The incident is one among a rising number of AI-related mishaps.

UK-based technology distributor Westcon-Comstor updated its climate pledge last week to cut Scope 1 and 2 emissions — such as direct emissions from company spaces and vehicles — in half by 2030. The company’s ongoing sustainability efforts include transitioning purchased electricity from fossil fuels to renewables.

As high-profile security events like OpenAI’s rogue AI hacker monopolize the news cycle, enterprise leaders are facing their own AI dilemma: how to balance rapid adoption with mounting security risks. Security incidents are costing enterprises serious capital. Over 40% of respondents said AI-related incidents cost their organizations $2 million or more in the past year, according to a survey of 300 enterprise decision-makers by security platform provider WitnessAI.

Businesses are universally embracing AI, but many of them just aren’t seeing the everyday value. Less than half of organizations say AI is essential to their core work, even though 98% have already adopted AI, according to a study of more than 1,500 decision-makers by software company Aptean published Tuesday.

Software engineering roles are moving from code production to code orchestration, according to a study of almost 3 million engineering and data job descriptions by Draup. As AI automates routine tasks, companies are hiring for senior technical roles requiring system-level thinking and judgment, the market data platform provider found.

AI trust isn’t keeping pace with adoption, according to a Tether survey of over 5,000 AI users conducted by market research group Kantar. While 82% of respondents said they used more than one AI chatbot over the past year, nearly half reported they do not trust current AI companies.

By 2029, 60% of organizations will implement smaller software engineering teams, up from 15% in 2026, according to projections published this week by Gartner. The consulting company said AI will restructure software engineering roles within organizations into “tiny teams” that focus on complex problem-solving and innovation.

As AI reshapes the tech workforce, software engineers face a strange paradox. Developers have one of the most resilient job functions in the industry, yet they’re being laid off by the thousands. In the age of AI, few jobs are completely unaffected.

Available power for AI infrastructure hit record lows even as global data centers brought more capacity online in Q1 2026. Total inventory surged 33% in North America year-over-year, according to CBRE research published last week. “A data center without power is just a physical structure,” Gordon Dolven, head of data center research at CBRE, told Channel Dive.”The servers won’t be energized, they won’t be operational. We used to say in the olden days that it’s just a cold refrigerator.”

Arrow Electronics launched a network of experience centers for its partners to try-before-buy AI architectures, the tech distributor said in an announcement last week. Hubs in Alpharetta, Georgia and Stockholm, Sweden, give channel firms access to hybrid cloud, cybersecurity and services and consulting tools.

AWS unveiled an automated security operations platform on Wednesday at its annual New York City summit, now available in preview. The Continuum platform unifies continuous threat modeling, code vulnerability monitoring and automated security patches to fix problems before attackers can use them, according to the company.

AI adoption depends more on workforce strategy than on finding better tools, according to a survey of almost 12,000 workers published last week by Boston Consulting Group. Roughly half of respondents reported a shift to managing and directing AI instead of doing the work itself, marking a fundamental transformation in how tasks gets done, the consulting firm said.

The SaaSpocalypse is nothing to fear, Salesforce CEO Marc Benioff assured investors Wednesday during a video earnings call from the Salesforce Tower in San Francisco, emphasizing the company’s continued progress in the AI era. The rise of agentic AI, which can execute complex tasks across workflows, has triggered market panic in the SaaS industry, but Salesforce maintains that the SaaSpocalypse is not a threat, but an opportunity for expansion and new revenue streams.

An AI-fueled data center buildout is driving unprecedented demand for energy. By 2050, data centers will account for up to one-third of commercial building electricity use in the U.S. As the decade closes, global electricity consumption by data centers is expected to grow 15% per year, more than four times faster than all other sectors. The electrical equipment market is experiencing a concurrent boom. By 2030, the sector is projected to surge from $20 billion to $65 billion, according to research and consulting firm Wood Mackenzie.

Big tech is grappling with a severe CPU shortage as AI demand surges. The scarcity has rippled across the semiconductor supply chain, creating a challenge and an opportunity for longtime CPU mainstay Intel. Intel believes the CPU, once the cornerstone of modern computing, is poised for a resurgence that could shift the AI infrastructure market. CPUs could become the “indispensable foundation of the AI era,” Intel CEO Lip-Bu Tan said, during a recent quarterly earnings call.