Analysis on the growth of AI from Goldman Sachs:

“Artificial intelligence (AI) models are becoming more than just chatbots—an important step in their evolution that will have repercussions for the global economy in 2026 and beyond. … AI is the new operating system: Rather than functioning as one-dimensional applications, AI models are becoming operating systems that independently access tools in order to perform tasks. In turn, computing is evolving from static, hard-coded logic to outcome-based assistants that reprogram themselves. Context is the new frontier: AI models that have been trained on vast pools of data can still only summon up relatively tiny contextual frameworks. But newer models can reason and inject much larger contexts into processes to provide far more bespoke, customized responses.   The rise of the personal agent: What we do now with apps soon will be done automatically via personal agents. For example, if a flight is cancelled because of the weather, an AI agent will know to rebook the flight, reschedule meetings, and order food for afterwards (since restaurants will be closed).  The agent-as-a-service economy: Companies will shift from deploying human-centric staff to tackle tasks to deploying human-orchestrated fleets of specialized multi-agent teams. These hybrid teams of humans and machines will charge clients by the amount of tokens—the units of data used by AI models—that are consumed. Learning becomes the most important skill: The workers who thrive will be the ones with expertise who are also the most willing to adapt. For those workers, the single biggest differentiator will be their ability to reimagine—in an age where AI will help them to do their jobs—something they’ve been doing for many years.” Marco Argenti -   U.S. technological engineer, chief information officer at Goldman Sachs.

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