Introduction
Su-57 AI combat operations are no longer theoretical. Russia has used its most advanced fighter in Ukraine since 2022, and the conflict has served as a live proving ground for the jet’s artificial intelligence systems.
The full extent of testing remains classified. But official statements, leaked reports, and expert analysis paint a picture of how the electronic co-pilot and networked drone operations perform under real combat conditions. These tests are shaping the aircraft’s evolution and influencing its export appeal.
This post examines Su-57 AI combat operations from the Ukrainian theatre. You will learn what is publicly known about the AI’s combat use. You will see how the conflict has accelerated manned-unmanned teaming. And you will understand why Russia considers these tests essential for the Su-57M upgrade.
For the big picture on the fighter’s artificial intelligence, see our pillar post on Su-57 fighter AI . For details on the electronic co-pilot being tested, read our Su-57 AI co-pilot system guide .
The Electronic Co-Pilot Under Fire
The Su-57 AI combat operations have given Russia its first real-world data on how the electronic second pilot performs in contested airspace.
According to Russian defense sources, the co-pilot system has processed live sensor feeds during actual missions. It has identified and classified Ukrainian air defense radars in real time. The AI then generated threat alerts and weapon recommendations while the pilot managed evasion and engagement.
Critically, the system has demonstrated the ability to filter out electronic warfare interference. Ukrainian forces routinely jam GPS and communication frequencies. The Su-57’s AI-secured data link and sensor fusion algorithms have reportedly maintained functionality in these degraded environments. This performance is now being used to refine the threat recognition algorithms ahead of the Su-57M upgrade.
For a detailed technical breakdown of how the co-pilot works, see our Su-57 AI co-pilot system guide .
Manned-Unmanned Teaming in Combat Conditions
The war in Ukraine has also accelerated Su-57 AI combat operations involving loyal wingman drones.
Reports indicate that the S-70 Okhotnik-B has been tested alongside the Su-57 in strike missions against static targets. The manned fighter remained at a safe distance while the drone flew deeper into contested airspace. The drone’s onboard AI managed navigation and target acquisition, while the Su-57 pilot approved or overrode engagement decisions via the encrypted data link.
This division of labor mirrors the concept of operations Russia has been promoting for export customers. The combat experience validates the core value proposition: a human pilot can control a lethal drone swarm without personally entering the highest-risk zones.
For a complete analysis of how the Su-57 controls drones, see our Su-57 loyal wingman guide .
Lessons Driving the Su-57M Upgrade
Data from Su-57 AI combat operations is directly feeding into the Su-57M upgrade program.
Russian engineers have identified areas where the AI needs to improve based on operational feedback. Threat identification speed is being increased. The sensor fusion engine is being updated to handle a wider variety of emitters, including portable air defense systems that are harder to detect. The data link’s resistance to jamming is being hardened further.
These refinements are part of why Russia is confident enough to offer the AI source code to India. The systems have been tested under fire, and the feedback loop between combat operations and engineering development is active.
For the full upgrade timeline, see our Su-57M AI upgrade roadmap .
Limitations and Unknowns
The true effectiveness of Su-57 AI combat operations remains difficult to assess independently.
Russia tightly controls information about the Su-57’s combat performance. Western intelligence agencies have not released detailed assessments of the AI systems’ performance. The number of Su-57 sorties in Ukraine is believed to be relatively small compared to older aircraft types. This limits the statistical significance of any claimed successes.
Skeptics argue that Russia is using the Ukraine conflict primarily as a marketing showcase. Staging controlled tests and presenting them as combat-proven capabilities is a known export strategy. Without independent verification, the line between genuine combat data and curated demonstrations remains blurred.
Conclusion
Su-57 AI combat operations in Ukraine have provided Russia with valuable test data for its most advanced fighter. The electronic co-pilot has processed real threats in contested airspace. Manned-unmanned teaming has moved from concept to practice. The lessons learned are now shaping the Su-57M upgrade and bolstering export pitches.
Still, the full picture remains obscured by wartime secrecy and propaganda. The Su-57’s AI systems have clearly been tested. Whether they have been proven is a question only the air forces that face them in future conflicts will answer definitively.