Every year at Supercomputing, the conversations reveal where the industry's pressure points really are. This year in St. Louis, the pattern was unmistakable: as GPU clusters scale, organizations are hitting a wall that has nothing to do with compute power.

AI in 2026: Ten Bold Predictions Redefining Automation and Careers

Large language models (LLMs) are an indisputable breakthrough of the last five years, potentially profoundly changing the way that we work. As with any extraordinarily powerful tool, LLM use has both promise and peril - and that they are so general-purpose leaves real questions about how and when they should be used.

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.

Four in 10 enterprise applications will feature task-specific AI agents this year. Yet, research from Stanford University's 2025 Index Report shows that a mere 6% of organizations have an advanced AI security strategy in place.

The AI narrative has mostly been dominated by model performance on key industry benchmarks. But as the field matures and enterprises look to draw real value from advances in AI, we're seeing parallel research in techniques that help productionize AI applications.

You're investing too much to get the basics wrong. Here's what architecture, infrastructure, and networking look like when done right for AI.

A year where AI becomes even more present in your life

AI Cloud Security Tools in 2026 Are Helping Businesses Stay Ahead of Evolving Threats

The next wave of cloud transformation will be about strategic dependence, resilience, and architectural honesty.

In 2026, the question isn't whether Kubernetes wins - it already has. And yet, many organizations are running mission-critical workloads on a platform they still treat as plumbing, not the operating layer that controls speed, security, and efficiency.

We've seen an intensely eventful 2025, with the rise of generative AI and beginnings of agentic AI, and a major cyberattack seemingly every other week. What could 2026 possibly hold for tech?

When the future stopped being futuristic

Vishing, short for voice phishing, is a type of social engineering scam in which attackers use phone calls or voice messages to trick individuals into revealing sensitive personal or financial information such as passwords, bank details, and credit card numbers.

AI dominated all tech conversations this year, but the concerns of cyber security professionals extend far beyond. From remote work to supply chains, quantum to identity, there were plenty of other topics for the industry to chew over in 2025.

Cybercriminals keep tweaking their procedures, trying out new techniques, and shifting tactics across campaigns. Coverage that worked yesterday may miss how those behaviors appear today.

AI-enabled cyberattacks could come as soon as next year. Organisations need to be on their guard against more unorthodox attack vectors.

AI-generated code is already running inside devices that control power grids, medical equipment, vehicles, and industrial plants.