Essential Guide

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Editor's note

Enterprise IT leaders are being asked to make consequential bets on AI while much about the technology remains unsettled. Capabilities are changing, standards are still taking shape, and some of the people building the most powerful AI systems are warning that development is moving too fast. Your companies aren't standing still. They're spending significant sums on AI and moving ahead with deployments. Meanwhile, vendors are adding capabilities to their products.

Across TechTarget News, we're following these developments to get at the ideas behind the constant stream of AI news, including the risks and tradeoffs you face as AI moves deeper into the enterprise. This guide brings that reporting together to help you make decisions before all the answers are in. We'll keep updating it with our latest reporting as the story develops.

1AI safety and slowdown

Years of debate inside the world's leading AI labs over whether advanced AI poses an existential threat to humanity have spilled into public view, as AI company executives, including Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, call for slowing AI development. Others in the AI industry and research community dispute the case for a slowdown, questioning the severity of the risks and motives of those calling for restraint. Our coverage examines the debate and what it means for enterprise IT leaders.

2AI acceleration

AI development and adoption are accelerating, backed by enormous investment. Gartner forecasts worldwide AI spending will reach $2.7 trillion this year, up nearly 50% from a year ago. New models and architectures are arriving as IT leaders wrestle with where to invest and how to turn AI into business value. Our coverage tracks the latest developments in AI technology and how they're playing out in the enterprise.

3AI control and observability

As enterprises give AI systems more autonomy, maintaining control becomes harder. AI agents are being given access to corporate systems and data and allowed to take more actions without human approval. Our coverage follows the technologies and approaches for managing AI systems as they become more autonomous.