REAL-TIME GLOBAL RESEARCH
Artificial Intelligence: Bottlenecks Remain for Scaling Physical AI, But Commercialization Progressing
Research evidence excerpt
Artificial Intelligence: Bottlenecks Remain for Scaling Physical AI, But Commercialization Progressing
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08 Jul 2026 04:30:00 ET │ 16 pages
Artificial Intelligence
Bottlenecks Remain for Scaling Physical AI, But Commercialization
Progressing
Heath Terry AC
CITI'S TAKE +1-212-723-4624
Citi’s 4th annual Robotics and Physical AI Leadership Conference brought heath.terry@citi.com
together leading founders, investors, and operators at the frontier of AC Andrew Kaplowitzphysical AI to assess where the market stands and the road ahead. The
dominant theme was that commercialization has arrived, but scaling +1-212-816-0642
remains hard. Participants distinguished between the promise of physical andrew.kaplowitz@citi.com
AI models and the operational reality of deploying them in unstructured, Vladimir Bystricky
safety-critical environments. Labor shortages, reshoring, and favorable +1-212-816-6595regulatory tailwinds are accelerating enterprise demand, while data
scarcity, talent constraints, battery limitations, and high deployment costs vladimir.bystricky@citi.com
remain key friction points. Humanoids are generating significant Shelby Spencer
investment enthusiasm, but near-term ROI is being driven by purpose-built +1-212-816-0416
AMRs and specialized systems from companies like Locus Robotics and shelby.spencer@citi.comDexterity. The conference reinforced our view that physical AI is a decade-
long buildout, with durable value accruing to companies that own the data Ashley Kim
flywheel, solve real deployment problems, and meet the highest safety +1-212-816-6689
standards. ashley.kim@citi.com
Industrial Automation — Advances in physical AI are expanding addressable Janna Withrow
markets for automation solutions into new end markets and use cases.
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