Nokia CEO Says Supply Shortages Are Holding Back a Twice-as-Fast AI Buildout
Justin Hotard argues that deploying today’s models leaves substantial room for growth, even if the release of more advanced models slows.
Listen to this story
The audio brief
Story brief
3 key pointsIn an October 5 CNBC interview, Nokia CEO Justin Hotard argued that AI infrastructure demand can keep growing even without near-term frontier-model breakthroughs: companies still have substantial scope to deploy existing AI, and he said they could make progress even if no new frontier model appeared for three years. He also said memory-chip and energy shortages are limiting data-center construction. His estimate that builds could move twice as fast without those bottlenecks is hypothetical, not an announced target; Nokia sells networking technology into the expansion it is assessing.
- 01
Hotard’s three-year scenario is a hypothetical about deploying today’s AI, not a prediction that frontier-model releases will stop.
- 02
Nokia sells technology connecting chip racks within data centers and linking data centers across locations, giving it direct commercial exposure to expansion.
- 03
The “twice as fast” estimate describes construction without supply constraints; Hotard announced no new build target.
AI data-center customers would probably build twice as fast if supplies allowed, Nokia CEO Justin Hotard told CNBC in an interview published October 5. Memory-chip and energy shortages are constraining the sector. His argument: the pace of construction reflects those limits, not how quickly customers would choose to add capacity without them.
Speaking on CNBC’s The Tech Download podcast, Hotard pushed back on the idea that the industry is already building too much. He pointed to customers’ appetite for faster construction as a reason for confidence that the AI infrastructure buildout remains in its early days.
Hotard’s twice-as-fast statement describes a hypothetical world without today’s supply constraints; it is not an announced construction target.
A case for deploying what already exists
Hotard also challenged the assumption that infrastructure demand depends on a steady stream of more advanced models. He described deployment as still being at an early stage and argued that the capabilities already available leave substantial work to do. In his view, growth need not wait for another breakthrough.
He put that argument in a concrete hypothetical: even if no new frontier model—the most advanced class of AI model—were released for three years, companies could probably make tremendous progress deploying today’s technology. That is a view about the remaining opportunity to use existing models, not a prediction that model releases will stop.
Sources
- cnbc.comNokia CEO says data centers would be built '2x faster' without supply constraints
Reader comments
Newest comments first. Replies stay oldest first.