International Business Machines — AI supply-chain exposure

IBM is a diversified enterprise-technology major whose AI presence runs through watsonx — its platform for building and governing models — its own Granite family of open models, and a large consulting arm that installs generative AI inside big organizations. It sits on the applied, enterprise side of the chain: not making chips or frontier models, but packaging AI into governed, deployable systems for regulated customers. The model casts it as a producer of enterprise knowledge assistants.

Its hook is distribution and trust rather than raw model capability — decades of embedded relationships in banks, governments, and hospitals, plus a consulting workforce that turns pilots into production. That incumbency is hard to dislodge, but IBM is a follower on frontier model performance, leaning on partners and open weights rather than leading. The model reads it as broadly connected across the applied layer, with centrality resting on delivery, not scarcity.