// ai model competition

Source: SiliconANGLE

The fragmented era of competing on individual components—chips, frameworks, inference engines—is ending. Economic value concentrates in integrated platforms that bundle everything from training infrastructure to application deployment. This mirrors every other technology cycle: once components commoditize, winners emerge by controlling the abstraction layer above them. Startups optimizing single model architectures or inference speeds face margin compression unless they're embedded in a larger platform strategy. The competitive moat is now developer lock-in and total-cost-of-ownership advantages, not technical superiority in any isolated layer.