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ai AM market analysis — 2026-09-16

The AI sector’s centre of gravity is shifting from standalone chatbots toward integrated ecosystems spanning consumer, developer and enterprise use. Google’s product stack and ChatGPT’s combined creation and work features both point to assistants built into daily tasks rather than a single chat window.

Goldman Sachs frames this shift in infrastructure terms. As enterprise deployment extends beyond coding into broader workflows, inference demand is rising and computing capacity is under greater strain, putting chips, memory, networking and data-centre connectivity alongside model development as factors that could limit near-term capacity.

Whether enterprise adoption becomes a durable source of demand, rather than experimentation that plateaus, will determine how much infrastructure investment the sector can sustain. Current evidence supports steady expansion rather than a sharp acceleration, so the outlook stays measured.

Worth Tracking

  • Enterprise workflow adoptionExtent of use beyond coding tasks signals whether inference demand is durable.
  • Inference infrastructure capacityChips, memory, networking and data-centre connectivity under pressure from rising real-time usage.
  • Assistant-led platform shiftsIntegrated AI assistants could change how users find information, products and services.

This analysis was generated automatically and is for information only — not financial advice.