Deepfakes are projected to become so sophisticated by 2026 that they will be capable of fooling even experts, according to a computer scientist researching synthetic media. The rapid advancement in artificial intelligence has led to AI-generated faces, voices, and full-body performances that convincingly mimic real people, exceeding previous expectations.

The quality of deepfakes has improved dramatically over the course of 2025, making them virtually indistinguishable from authentic recordings in many everyday scenarios, especially in low-resolution video calls and social media content. This poses a significant challenge for both ordinary individuals and institutions, as the realism of synthetic media reaches unprecedented levels.

The surge in deepfake technology is not limited to quality; the volume of deepfakes has also grown exponentially. Cybersecurity firm DeepStrike estimates that the number of online deepfakes increased from approximately 500,000 in 2023 to about 8 million in 2025, representing an annual growth rate of nearly 900%.

According to the researcher, the situation is expected to worsen in 2026 as deepfakes evolve into synthetic performers capable of reacting to people in real time. This interactive capability could further blur the lines between reality and simulation, making it increasingly difficult to detect fraudulent content.

Voice cloning, in particular, has crossed what the researcher describes as the "indistinguishable threshold," meaning that AI-generated voices are now virtually identical to those of real people. This has significant implications for various industries, including entertainment, advertising, and politics, where voice cloning could be used for both legitimate and malicious purposes.

The increasing sophistication and prevalence of deepfakes raise concerns about the potential for misuse, including disinformation campaigns, fraud, and identity theft. Experts warn that individuals and organizations need to be vigilant and develop strategies to detect and combat deepfakes. As deepfake technology continues to advance, the ability to discern authentic content from synthetic media will become increasingly critical.