Robotic Wave

Robotic waves: from factory automation to embodied AI

The history lens is useful only if it explains the current wave: AI generalization, lower-cost bodies, production-line intent, and measured deployment KPI.

Industry waves

Pre-2010s

Industrial automation baseline

Focus: Caged industrial arms, automotive automation, factory ROI, repeatable tasks.

Outcome: A real industrial robotics market emerged, but it did not generalize into broad embodied autonomy.

Lesson: Industrial robot scale is not the same as humanoid general-purpose deployment.

2013-2018

Collaborative / service-robot funding wave

Focus: Cobots, social robots, warehouse/service robots, mobile manipulation and consumer robotics.

Outcome: Many projects stalled, pivoted or failed when reliability, autonomy, maintenance, unit economics and go-to-market did not close.

Lesson: The 2015-era failure mode is not lack of excitement; it is weak S5 economics after S1/S2 demos.

2019-2022

AI hardware and warehouse proof points

Focus: Autonomous mobile robots, logistics automation, better perception stacks and industrial AI pilots.

Outcome: Warehouse and logistics automation improved, but it remained a narrower market-definition lens than general humanoids.

Lesson: Do not confuse warehouse automation progress with proof that humanoid TAM has arrived.

2023-now

Embodied AI / humanoid cycle

Focus: Foundation-model-era robotics, humanoid bodies, Tesla Optimus, Figure, Unitree and supplier validation.

Outcome: The evidence is now more trackable-capacity, deployment KPI, price curves and supplier filings-but still short of broad S5 economics.

Lesson: This cycle deserves attention, but the dashboard must separate construction evidence from actual production, paid deployment and unit economics.

Tesla vs Figure milestone context

Tesla's public curve is strongest on designed capacity and production-line intent; Figure's public curve is stronger on named customer-site and BotQ manufacturing KPI.

1
Tesla Optimus2025 Q1 · S3/S4

Fremont pilot-line intent

Pilot production-line build intent and internal factory-use language.

Gap: No output, robot count, uptime, ROI or customer economics disclosed.

2
Figure AI2025-11 · S4

BMW customer-site KPI

11-month deployment; 10-hour weekday shifts; 90,000+ parts; 1,250+ runtime hours.

Gap: No robot count, contract value, ROI/payback, revenue or gross margin.

3
Tesla Optimus2025 Q3 · S4

Production lines being installed

First-generation production lines installed in anticipation of volume production.

Gap: Installation is not achieved production, utilization or accepted delivery.

4
Tesla Optimus2025 Q4 · S4

Gen 3 mass-production design

Gen 3 framed as first Optimus design meant for mass production; supply-chain readiness language.

Gap: Planned capacity is not yield, field reliability, robot margin or sell-through.

5
Figure AI2026-04 · S4

BotQ manufacturing KPI

350+ Figure 03 delivered; 1/day to 1/hour cadence; >80% EOL FPY; 99.3% battery-line FPY.

Gap: Factory-process KPI is not customer fleet utilization or economics.

6
Tesla Optimus2026 Q1 · Strong S4

Designed-capacity disclosure

Fremont line designed for 1M/year; Texas second-generation line long-term 10M/year designed capacity.

Gap: Designed capacity is not current production or accepted units.

7
Figure AI2026-05 · S3/S4

Catalyst customer surface

Agreement with Catalyst Brands; Reno distribution logistics-center start.

Gap: No robot count, rollout schedule, contract value or ROI/payback.