A report by AI detection company Pangram has revealed that one in four social media posts are now AI-generated, with LinkedIn leading the trend. From polished thought leadership posts to perfectly structured career updates, AI is rapidly reshaping how professionals communicate on platforms like LinkedIn. As professionals increasingly outsource their thoughts to generative AI, are we entering an era where authenticity becomes the internet's most valuable currency? Is AI enhancing productivity or creating an authenticity crisis online? Are we witnessing an authenticity crisis where human voices are being replaced by machines, or simply the next phase of workplace productivity?
**Vivek Bhargava, Co-Founder, Consumr.ai, **believes it is the natural evolution of workplace productivity; this has always been the case. Earlier, he adds, a good artist was someone who could replicate reality. Once photography was invented, that skill lost its premium, and contemporary art came into existence. “Today, an artist who can replicate reality may sell a painting for ₹500, while some contemporary artists' works sell for tens of millions. Similarly, once everyone had access to a calculators, those devices were allowed in exams, because the ability to calculate mentally was no longer a differentiator. And as the internet grew, rote learning became less important,” Bhargava adds.
Bhargava believes authenticity is not the camera; it is the angle, the aperture, the shutter speed, the nuances of composition.
“In the world of AI, that translates to choosing the right prompt. Consumr.ai uses multimodal LLMs at the back-end, but our ability to take data from tens of platforms and distil it into a 1,000-word prompt is what differentiates us. Just because everyone has the same cooking stove does not mean everyone can be a chef. AI is an enabler, not a replacement for human authenticity. Will I be using AI to clean up this response? Of course. But using AI to polish the post after I have written it does not reduce the originality of what I have said,” he says.
**Rishi Sen, Founder & Chief Brand Architect, The Sixth Sen, **points out that AI is not creating an entirely new problem. It is accelerating an old one.
“We saw something similar when stock footage, design templates and platforms like Canva made content production dramatically easier. Suddenly, everybody had access to the same starting points. That was useful, but when people treated the template as the finished product rather than something to build upon, everything began to look the same. AI works in much the same way. It can give you a starting point, help structure an argument, sharpen your language or make the process faster. The problem begins when the starting point becomes the entire thought,” Sen explains.
That is what is happening across LinkedIn today, he says.
“Many people are not using AI to enhance what they genuinely believe or improve how they express it. They are asking AI to generate the point of view itself, making a few cosmetic changes and publishing it under their own name. At that point, the content may be polished, but it is not truly authored. It represents the tool’s most probable response, not the individual’s lived experience, expertise or independent thinking.”
So, Sen adds, this is both a natural evolution in productivity and the beginning of an authenticity crisis. “The technology is not the problem. The easy way out is. When everyone uses the same shortcut, the result becomes familiar, interchangeable and ultimately incapable of creating value,” he adds.
Comparing LinkedIn to Mumbai's street-food culture, **Vishal Rupani, Co-founder of Sprect.com, **argued that originality, not uniformity, is what builds lasting connections. "Every vada pav stall near my office uses the same potato, chutney and bread, yet regulars walk past several identical stalls to reach their favourite because that vendor deliberately burns the bread slightly. That small, intentional imperfection becomes the brand," he said. "LinkedIn today feels like hundreds of stalls that have stopped bothering with that distinguishing touch."
Rupani believes the growing reliance on AI represents more than a natural evolution of content creation. "This is a crisis, not evolution. We used to see writing your own thoughts in your own words as a sign of effort. That expectation has quietly disappeared, and we've rebranded its absence as productivity because it sounds less uncomfortable," he said. He also pointed to LinkedIn's own AI writing feature, noting that while the company renamed the "Write with AI" tool as "Enhance post" following criticism, the underlying capability remained the same.
As a practical test for creators, Rupani recommends focusing on authenticity rather than automation. "Before publishing anything, ask yourself whether the post would stand up if someone privately asked you what actually happened in detail. If the answer is yes, AI has simply helped you write it. If not, AI hasn't assisted you—it has replaced you," he added.
"I've been active on LinkedIn for over 15 years and have watched the platform evolve, including the rapid rise of AI-generated content," said Dr Kushal Sanghvi, Director Komerz UK. "A significant share of posts today appear to be AI-assisted, and in many cases it's easy to spot because they no longer sound like the individual behind the profile."
Shangvi noted that regular readers often recognise when a creator's style has changed. "When you've followed someone for years, you become familiar with their tone, writing style and way of expressing ideas. That's why AI-generated posts can feel noticeably different," he said.
According to Shangvi, the larger issue extends beyond authenticity. "The real concern is that AI can dilute a creator's unique voice. Every writer has a distinct way of communicating, and that's what audiences connect with. When AI is doing all the writing, readers often sense they're hearing an AI layer rather than the person themselves."
The trust factor
If AI writes everything, why should anyone listen to you? This is the biggest issue. As AI-generated content becomes increasingly ubiquitous on social media, what will distinguish brands, executives and creators that successfully retain trust and human connection with their audiences? Kushal Shangvi believes the brands and creators that stand out will be those that preserve a distinctly human style of communication. "People connect with those who understand them, communicate naturally and sound like real people—not machines. AI is an excellent productivity tool, but it shouldn't be used to generate an entire post that's simply copied and pasted onto LinkedIn," he said.
He cautioned that audiences are becoming increasingly adept at recognising AI-generated content. "If a brand relies entirely on AI-written posts, people will quickly notice. Over time, they're likely to engage less with that content than with posts that genuinely reflect the brand's own voice. The same principle applies to individual creators," Shangvi said.
According to Shangvi, originality remains one of the biggest drivers of engagement. "People follow brands and creators because they bring fresh perspectives, personal experiences and unique insights—qualities that AI cannot genuinely produce," he said.
He also pointed out that LinkedIn has evolved into a platform where breaking news, company updates and firsthand experiences perform particularly well. "When I share something that happened within my organisation or an experience I've personally had, it naturally resonates more than generic AI-generated content. AI can't know what happened inside my office or recreate a truly original experience," Shangvi added.
Drawing on nearly 15 years in the ad-tech industry, Vishal Rupani said his experience distinguishing genuine human activity from increasingly sophisticated bots has shaped how he views AI-generated content. "The bots became remarkably good over time, but what usually exposed them wasn't a major flaw. It was a small detail nobody bothered to fake because it simply wasn't worth the effort," he said.
According to Rupani, authenticity often lies in the imperfections. "Fraud is designed to look correct, not to look costly. A genuine human interaction contains friction—a , an unexpected action or a small inconsistency that serves no obvious purpose. Content works in much the same way. Posts that are genuinely written by people often include oddly specific details, corrected mistakes or observations that don't necessarily strengthen the argument but make it feel real. AI-generated writing tends to smooth away those details because it has no reason to include them."
To illustrate the point, Rupani cited a candid admission by Radhika Gupta, Managing Director and CEO of Edelweiss Mutual Fund. "She openly spoke about a gold and silver fund launched in 2022 that attracted only ₹12 crore at launch and even described it as a 'silly product' at the time. That kind of specific, verifiable and slightly unflattering detail is difficult to fake and easy to fact-check. AI won't produce those stories on its own because it has no personal reputation or career attached to what it writes," he said.
Rupani believes creators can retain credibility by balancing advice with personal honesty. "My rule of thumb is to include one honest, slightly unflattering detail for every three pieces of advice you share. Advice is easy, and AI is already good at producing it. The personal detail is the costly part—and that's what people remember," he added.
As AI makes competent content available to everyone, competence alone will stop being a differentiator, says Rishi Sen.
“What will distinguish trusted brands, executives and creators is the quality of the raw material they bring to the tool: lived experience, proprietary knowledge, original observations, first-party data and a point of view shaped by decisions they have actually made. AI can help organise these thoughts, sharpen the language or improve how an idea is presented. But it cannot independently recreate the context, judgment and consequences behind a genuinely earned opinion. This means human connection will not come from deliberately making content less polished or adding a few personal anecdotes to appear authentic. It will come from specificity. Talking about what actually happened, what was learned, what changed their mind and what they believe that others may disagree with. The more content AI produces, the more audiences will value content that could only have come from that particular person or brand,” Sen explains.
According to him, in an AI-first world, trust will not belong to the best-written voice. It will belong to the most recognisable and well-earned one.
Vivek Bhargava uses the analogy of camera to buttress his point. “When one generates content with AI, every output is different; it depends on my previous prompts, my feedback to the LLM, and how much creative freedom I give the AI. Just because everyone uses a superior camera does not mean everyone becomes a great photographer. Will everyone become a better photographer? Of course. But when everyone becomes extraordinary, extraordinary becomes the new ordinary; and only the truly exceptional become the new extraordinary. Today, with a camera phone, I can create a photo that may be better than one taken by the best photographer of the 1990s. But against the best photographer of 2026, I would be no match. Technology can take you only so far,” Bhargava says.
Responsibility for transparency
Should platforms actively label or downrank AI-generated posts, or is the responsibility for transparency ultimately with users and organisations that publish the content?
Dr. Kushal Shangvi believes transparency around AI-generated content will become increasingly important as its use becomes more widespread. "If a post is created entirely by AI, I think creators and brands should clearly disclose that. Readers deserve to know whether they're engaging with a person's own thoughts or with AI-generated content," he said.
According to Shangvi, such openness is essential to maintaining audience trust. "Transparency helps people distinguish between human-created and AI-generated content, and I believe it should become standard practice. Being upfront about AI use will go a long way in preserving credibility and trust," he said.
Summing up his views, Shangvi stressed that a creator's originality remains their greatest asset. "People follow creators because they value their unique voice and perspective. The moment audiences feel someone is relying more on AI than on their own ideas, that connection begins to weaken. Instead of engaging with a person, they're engaging with technology—and that changes the relationship," he added.
Rishi Sen does not think every piece of AI-assisted content needs to be labelled simply because AI was part of its production.
“We never required brands to disclose that they used a Canva template, stock footage, retouching software or a copywriting framework. These were tools used to produce communication. AI is more powerful, but the principle is not entirely different. Where disclosure does matter is when AI creates or materially alters something that audiences may mistake for reality. Synthetic people, fabricated events, cloned voices, manipulated testimonials or visualisations presented as real should be clearly identified. Advertising has long used disclaimers such as ‘creative visualisation,’ and that responsibility becomes even more important with generative AI. People should not be encouraged to believe that something happened when it did not,” Sen says.
According to him, text-based opinions on platforms such as LinkedIn are more complicated.
“It would be difficult, and often meaningless, to label every post that used AI for research, editing, restructuring or improving its expression. The real responsibility there sits with the person publishing it. They must decide whether the post genuinely reflects their thinking or whether they are simply attaching their name to a machine-generated opinion. Platforms should downrank repetitive, low-value or misleading content, irrespective of how it was produced. But audiences are also more perceptive than we sometimes give them credit for. Over time, they can tell the difference between a perspective shaped by real experience and content that merely imitates one,” Sen explains.
According to him, AI use does not always need disclosure. Artificial reality does.
Vishal Rupani believes platforms face an inherent challenge in policing AI-generated content. "There's an obvious conflict when a platform tries to grade its own AI-content problem because every post it flags is also a reminder that its own tools may have helped create it," he said.
According to Rupani, the bigger limitation is that technology cannot verify the authenticity of personal experiences. "A platform might be able to detect that a sentence was probably AI-generated, but it can't determine whether the story behind that sentence actually happened to the person posting it. That distinction—whether an experience is genuine—is what really matters, and it's something no algorithm can verify from the outside," he said.
Rupani argued that accountability ultimately rests with the individual publishing the content. "Responsibility has to lie with the person who hits 'publish'. That's not a compromise; it's the only approach that can scale," he said. "Even a simple disclosure, such as identifying a post as 'AI-assisted' rather than based on lived experience, would do more to build trust than any platform-generated label."
While he expects platforms to introduce voluntary AI-disclosure mechanisms over time, Rupani said such measures will always have limits. "They may eventually adopt something similar to today's sponsored-content labels, but platforms can only flag how a sentence was produced. They can never verify whether the person behind it is being truthful. That responsibility remains with the individual, whether anyone is watching or not," he added. Vivek Bhargava thinks it is nearly impossible to know what is written by AI; he believes AI has already crossed the Turing test.
“If AI writes too many hyphens, overuses certain words, or never makes mistakes, one can always instruct it to make a few mistakes. It is always easier for a smart person to act dumb than for a dumb person to act smart. I feel that is an original quote of mine; but can I be 100% sure that no one has said it before me? Maybe, maybe not. Human creativity and authenticity have always been enhanced by technology, and AI will do the same. So instead of fighting it, we should look at leveraging it to become better,” Bhargava concludes.