The AI resolution that will still matter in 2030

The AI resolution that will still matter in 2030 Clarity as the antidote Sustainability as a competitive advantage The adaptable enterprise: Why AI readiness is disruption readiness About the author Abigail Sisson More like this Smarter troubleshooting with the new MCP server for Red Hat Enterprise Linux (now in developer preview) Demystifying llm-d and vLLM: The race to production Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share New year, new pressure As a PMM, I spend a lot of time at the intersection of technology and the way we communicate it. It is my job to understand what companies shaping the AI infrastructure space are bringing to market, and also to pay attention to the why and how behind the way they talk about it. Online, at conferences around the world, and in hallway conversations, I am watching not only what our industry is building but the framing that surrounds it. Across AI gatherings this year, both virtual and in person, a pattern has become impossible to miss: AI is being marketed through urgency and fear, not clarity. Many companies are speaking to decision-makers with a tone that feels more like pressure than guidance. The message is consistent: you are behind, everyone else is moving faster, adopt now or lose your chance. Once that becomes the backdrop, even the most capable teams start to feel overwhelmed. The pace and volume of this kind of marketing can make people want to move quickly just to quiet the anxiety. That pressure is not accidental. It is meant to make the moment feel like it is slipping away, even though the reality is that nobody, including the people doing the marketing, can predict exactly what comes next. AI often gets framed as something opaque or too complex to take on yourself, and that framing naturally pushes you toward relying on someone else’s version of it. The narrative becomes that you cannot replicate the work and that you do not need to understand how it functions, which makes the black box feel like the only safe option.