RT Editor Simonyan Praises AI Voice Clones for Putin Speeches
Is this a scandal?
No longer — the story has resolved. Noise 31/100, holding steady, across 1 source.
Other state-aligned broadcasters will likely adopt similar proprietary voice cloning tools to bypass Western platform restrictions because domestic model development reduces dependency on foreign API access.
Noise 31/100 — louder than 99% of tracked AI controversies.
Why it matters
State media adopting synthetic voice tech normalizes deepfakes in geopolitics and complicates verification of official government communications globally.
Key points
- RT Editor-in-Chief Margarita Simonyan confirmed the outlet uses AI to clone Vladimir Putin’s voice for English translations of his speeches.
- Simonyan acknowledged to The Jakarta Globe that AI makes newsrooms vulnerable to fake images and manipulated footage.
- RT is transitioning from Western AI models to proprietary systems to maintain operational independence.
- Simonyan stated the synthetic Putin voice clones are remarkably difficult to distinguish from authentic recordings.
- The disclosure illustrates state media leveraging generative AI for narrative influence despite recognized verification risks.
The story
Margarita Simonyan, editor-in-chief of RT, stated that her organization uses artificial intelligence to generate English-language audio of Vladimir Putin’s speeches using his cloned voice. Speaking to The Jakarta Globe on August 12, 2026, Simonyan acknowledged that AI tools create significant risks regarding manipulated footage and fake images in 24-hour news cycles. She simultaneously described the technology as enormously helpful for accelerating newsroom workflows like transcription and translation. Simonyan noted that RT initially relied on Western AI models but is now actively developing proprietary systems to reduce external dependencies. She claimed the resulting synthetic audio is remarkably difficult to distinguish from original recordings. This disclosure highlights how state-affiliated media organizations are integrating generative AI to enhance cross-border messaging capabilities while publicly acknowledging the associated information integrity challenges.
Who's involved
Argues AI accelerates newsroom efficiency and justifies developing proprietary voice cloning despite acknowledged manipulation risks.
Solicited Simonyan's perspective on AI opportunities and risks in modern journalism without endorsing specific applications.
How the conversation shifted
Polarity (0–100) from the noise pipeline, sampled over time.
Noise Level
The timeline
Simonyan discusses AI voice cloning with The Jakarta Globe
RT editor-in-chief confirms use of AI to generate English Putin speeches and notes shift to proprietary models.
The full record
Sources & methodology
- twitter.com — twitter.com
Every claim above traces to these primary items. How we score →
The forecast
Other state-aligned broadcasters will likely adopt similar proprietary voice cloning tools to bypass Western platform restrictions because domestic model development reduces dependency on foreign API access.
Forecast, not fact — an editorial estimate we score when this resolves.
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