The AI Boom in the Indian Office
Work in India is changing fast. Recent studies show a dramatic uptake of generative AI tools across Indian businesses, with some reports indicating that around 73% to 80% of professionals now use AI at work. This is among the highest adoption rates globally.
AI is being used for everything from drafting emails and summarising meetings to creating marketing content and writing code, making it a routine part of professional life. While this has led to significant gains in efficiency, it has also opened the door to new and complex risks that were once the stuff of science fiction. The same technology that helps an employee draft a report can be used to create a convincing but completely fake video of their CEO.
A New Frontier of Corporate Risk
Deepfakes—AI-generated audio, video, or images that realistically mimic a person's likeness and voice—are no longer just a novelty. They represent a serious and growing threat to businesses. Criminals are using deepfake technology to execute sophisticated fraud, impersonate executives, and manipulate employees. Imagine receiving a video call from your company's CFO asking for an urgent fund transfer. The face and voice are perfectly convincing, but the person on the other end is a fraudster. This exact scenario has already led to massive financial losses, with one employee at a multinational firm being tricked into transferring over $25 million after a deepfake video conference. Beyond financial fraud, these tools can be used to spread disinformation, damage a company's reputation, or even manipulate stock prices.
What 'Deepfake Literacy' Actually Means
In this environment, a new skill is becoming essential: deepfake literacy. This is more than just knowing what a deepfake is. It is the ability to critically evaluate, verify, and understand AI-generated content. It's not about being able to spot the technical flaws, as deepfakes are becoming increasingly difficult to detect with the naked eye. Instead, it involves developing a healthy skepticism and a process-oriented mindset. Key components include pausing before acting on urgent requests, verifying information through a different communication channel, and understanding the context and motivation behind the content. It means asking questions like: Is this request expected? Is the communication channel unusual? Does the message create a sense of extreme urgency?
Building a Human Firewall
Recognising this emerging threat, companies and even governments are starting to take action. The Indian government has strengthened IT rules to combat deepfakes, introducing mandatory labelling and faster takedown timelines for malicious synthetic content. On Thursday, IT Minister Ashwini Vaishnaw announced that a consultation paper on AI regulation would be released within a month, with a major focus on the societal problems caused by deepfakes. However, regulation alone is not enough. Companies are now looking at deepfake awareness training for their employees, teaching them to identify the red flags of manipulated media. These programs use simulations of real-world attacks to help staff build the critical thinking skills needed to become a 'human firewall'. This includes scrutinising for unnatural visual cues like odd blinking, flickering edges around a face, or listening for robotic tones and a lack of breaths in audio.
