Whenever we discuss the negative impacts of Artificial Intelligence, there’s a widespread belief that millions of people across the world are bound to lose their conventional jobs to AI. Some reports suggest that this might already be happening.

What few seem to acknowledge, however, is that people aren’t alone in this. The internet’s most familiar tech giants — the very platforms that shaped the internet as we know it — might also lose their long-held roles to AI.

There was a time when a question meant a Google search. If you wanted a quick fact, you landed on Wikipedia. If you sought lived experiences or quirky personal takes, you turned to Quora. These platforms built their identities as the internet’s go-to spaces for trustworthy information, structured facts, and diverse opinions.

But that world is quietly and swiftly slipping away.

A new kind of information engine is taking over — AI-powered conversational tools like ChatGPT, Gemini, and Claude. And ironically, the biggest search engine on the planet now finds itself scrambling to survive the AI revolution it helped set in motion.

What’s quietly being upended isn’t just technology — it’s the entire architecture of how knowledge flows on the internet.

About us

The shifting role of Google

For years, Google wasn’t just a search engine. It was the front door to the internet. Type a query, and it would politely line up possible answers — from Wikipedia articles to news reports, blog posts, and Quora discussions.

It didn’t answer your question directly. It showed you where you could find the answers — like a helpful librarian.

That model began to strain under the weight of AI-powered responses. Tools like ChatGPT proved people didn’t always want a list of websites. They wanted clean, thoughtful, instant answers to their questions — all in one go.

In other words, they wanted a research assistant, not a librarian. Someone who could find the library, search for relevant books, take notes, summarise them, and hand over the final brief.

To stay relevant, Google changed its game. Its AI Overviews now do what independent AI tools do — give instant answers. Often, users don’t even need to click on links anymore.

And in the process, Google began eating into the very platforms — like Wikipedia, Quora, Reddit, and countless blogs and forums — that once fed its search empire.

Where earlier you’d type something like “What’s it like to live in Tokyo?” and find a Quora thread, a Wikipedia entry, or independent web pages, today you get a neat AI summary at the top of the page. Links to Quora, Reddit, Wikipedia, and independent blogs have been pushed further down — sometimes out of sight altogether.

And the fallout is bigger than it looks.

Subscribe to entire Satyagrah Network

Why this is a problem for Quora and Wikipedia

Take Quora. Its entire model relies on people searching for questions on Google, landing on its pages, reading personal answers, and maybe adding one of their own.

Less Google traffic means fewer readers. Fewer readers mean fewer contributors. And that slowly chips away at the community that keeps it alive. It also means fewer subscribers and lower ad revenue.

Quora knows this. That’s why it’s pivoted to its own AI platform, Poe. But even that feels like a catch-22. The more it leans into AI, the less distinct its original, human-powered information model becomes. It risks becoming just another AI tool.

Wikipedia faces a similar — but even more complex — challenge. Like Quora, it depends on readers for both content and revenue, though through donations. But when AI tools start answering factual queries directly, or when Google’s AI summaries make visiting Wikipedia unnecessary, it threatens both the platform’s traffic and its ability to produce quality content at scale.

And Wikipedia faces a unique dilemma: it can’t become an AI tool itself. Its open, community-driven, non-commercial model isn’t built for AI-generated content.

Yet it can’t ignore the AI wave either. In a future where a large share of online content might be AI-written, what should Wikipedia treat as a credible source? Will it start citing AI-generated articles?

That’s a difficult question — especially for a platform obsessed with citation integrity.

Subscribe to our Whatsapp channel

What’s happening to the Internet itself?

But the implications go far beyond just these three platforms. What’s really at stake is the broader health of the internet’s knowledge ecosystem.

For decades, the web thrived on a messy but vibrant network of content creators — big newsrooms, universities, passionate bloggers, niche forums, and independent experts. Google Search was the gateway that gave them visibility.

Sure, the system wasn’t perfect. SEO manipulation, clickbait, and low-quality content often polluted search results. But in principle, it was open. If you had something valuable to say, you had a chance of being found.

Now, AI summaries on Google — and across various AI tools — threaten to centralise this flow of information. In this emerging model, only a handful of big, officially credible sources (governments, major media outlets, academic publishers) are likely to remain linked.

This might reduce the visibility of junk SEO pages, which isn’t a bad thing. But it could also discourage honest, thoughtful creators. If people stop reaching, reading, and supporting independent work, what incentive remains for anyone to keep producing it?

The internet could then be overrun by AI-generated noise, a loss not just for users, but for AI itself, which depends on high-quality, human-created content to learn and evolve.

And that’s a dangerous proposition.

A healthy internet isn’t just about information being available. It’s about open, transparent access to diverse, competing perspectives. If AI tools keep serving up untraceable, context-free summaries, we risk losing the very thing that kept the internet from becoming a gated, corporate-controlled knowledge silo.

Recently, a jaw-dropping mistake shook the United States government to its core. Top officials, including the Vice President and Defense Secretary, were discussing a top-secret plan to attack the Houthis in Yemen via a Signal group chat when they accidentally added Jeffrey Goldberg, editor-in-chief of The Atlantic. The blunder quickly made headlines, sparking a firestorm of questions about national security, human error, and, perhaps most intriguingly, the reputation of Signal—the app long touted as the gold standard for secure messaging. How does this leak affect Signal’s claim to be the most secure chatting app? And what does it mean for our broader trust in encrypted apps?

Signal has built its name on a promise of ironclad privacy. Its key feature, end-to-end encryption (E2EE), ensures that only the sender and the intended recipient can read a message. No one else—not hackers, not governments, not even Signal itself—can peek inside. The app also offers extras like disappearing messages, which delete themselves after a set time, and screen security to block screenshots.

These features have made Signal a favourite among privacy buffs, journalists, and even government officials who need to keep their conversations under wraps. This doesn’t fully justify why America’s top officials chose not to use their own secure systems for a top-secret military operation, but it explains why they might have picked Signal among a host of such apps. What happened next showed the world that even the best tools can falter.

Subscribe to our whatsapp channel

But was it Signal’s fault? The app’s encryption wasn’t broken; no one hacked the system. Instead, the breach happened because someone tapped the wrong name when setting up the chat group. Signal’s technology did exactly what it was supposed to do, it kept the messages locked tight from outsiders. The problem was that an outsider was invited in by the insiders. But it’s a fine line that the public might not always see. When news outlets report a “leak on Signal,” it’s easy for people to assume the app itself failed, even if the real story is about human clumsiness.

So, what does this mean for Signal’s reputation? On one hand, the incident could actually bolster its standing. The fact that top US officials trusted Signal for a discussion about military strikes shows just how seriously its security is taken. If the Vice President, Defense Secretary, National Security Advisor and heads of the CIA and DNI rely on it, that’s a powerful endorsement. But there’s a flip side. Those who don’t dig into the details might wonder: if a leak this big can happen on Signal, is it really as secure as claimed?

Subscribe to entire Satyagrah Network

This isn’t just about individual opinions. The leak raises bigger questions about whether encrypted apps are the right fit for sensitive communications. Experts are asking why the White House was using a consumer app like Signal for discussing war plans in the first place. Big players, such as government agencies, might now lean toward bespoke solutions—platforms designed specifically for their needs, with tighter controls to stop someone from accidentally adding the wrong person to a chat room. But here’s the catch: those systems might not be as battle-tested as Signal, which benefits from an open-source design that’s constantly poked and prodded by experts worldwide.

For the average person, this incident might not shake their dependence on encrypted apps too much. Most of us aren’t using Signal for sensitive operations like military planning—we’re just texting friends or sharing memes. But it could still sow doubt making us a bit careful while using such apps.

Organisations that rely on encrypted apps may also see it as a wake-up call to tighten security—verify chat participants, set clearer rules, and improve staff training. After all, even the strongest deadbolt is useless if you hand the key to a stranger.

The Signal leak is just the latest chapter in a saga of human slip-ups. In July 2023, the UK Ministry of Defence accidentally sent classified emails meant for the Pentagon to Mali, a Russian ally, because of a typo in the email domain (they typed ".ml" instead of “.mil"). These emails contained sensitive information, including details of British research into hypersonic missiles. The lesson then was the same as now: security is a team effort, and the weakest player often wears shoes, not circuits.

Some experts’ biggest fear now is that governments might use this leak as an opportinity to demand more control over encrypted platforms. For years, intelligence and law enforcement agencies have criticised apps like Signal, saying their strong privacy protections make it hard to track criminals or terrorists. They might now call for oversight (more monitoring) or backdoors (ways for authorities to access messages), arguing these measures provide a safety net for when mistakes occur. But that can weaken encryption leaving users vulnerable to hackers or other threats.

So, where does this leave Signal and our trust in encrypted apps? Signal’s claim to be the most secure chatting app still holds water. But the incident does dent its aura of invincibility. Signal might respond by tweaking its features, maybe adding safeguards like stricter group controls which could clash with its keep-it-simple ethos. As for encrypted apps in general, trust might wobble but won’t collapse. Everyday users will likely keep tapping away, unbothered by a drama that feels far removed from their lives. Government agencies and big organisations, though, might rethink their approach—some sticking with Signal, others hunting for alternatives.

The world of technology is abuzz with the rise of DeepSeek, a Chinese AI lab that has seemingly come out of nowhere to challenge the established giants in the field of artificial intelligence. DeepSeek's latest model has not only matched but surpassed the performance of leading American models (like ChatGPT and Gemini), and it's done so at a fraction of the cost and with less powerful hardware. This begs the question: does DeepSeek signal a shift in the global AI landscape, and could it be a harbinger of China's ascendance as a world leader in technology and beyond?

Read this post in Hindi

DeepSeek's Disruptive Innovation

DeepSeek's approach has been nothing short of revolutionary. While American companies like OpenAI and Google have poured billions into developing large language models (LLMs), DeepSeek has achieved comparable or even superior results with significantly less investment. Their latest model reportedly cost less than $6 million to build and was trained in just two months, a stark contrast to the hundreds of millions, if not billions, spent by their American counterparts.

Moreover, DeepSeek has chosen to open-source its models, making them freely available to developers and researchers worldwide. This strategy not only fosters transparency and collaboration but also allows DeepSeek to leverage the collective intelligence of the global AI community. In contrast, many American companies have opted for a closed-source approach, which some argue could hinder innovation in the long run.

Listen to this article 🎧

Challenging the Status Quo

DeepSeek's success has sent shockwaves through Silicon Valley, forcing a reassessment of long-held assumptions about AI development. The company's ability to achieve cutting-edge performance with limited resources challenges the notion that massive investment is a prerequisite for success in AI. This has led to questions about the efficiency and strategic direction of major American AI labs, particularly OpenAI, which has yet to turn a profit despite raising billions in funding.

Furthermore, DeepSeek's emergence coincides with growing concerns about the sustainability of the current AI development model. The massive energy consumption and environmental impact of training large AI models have raised questions about the long-term viability of this approach. DeepSeek's ability to achieve comparable results with less powerful hardware suggests that there may be alternative, more sustainable paths to AI development.

Subscribe to Satyagrah Network!

The Geopolitical Implications

The rise of DeepSeek has also reignited the debate about the global AI race and the competition between the US and China. While some experts previously believed that China was nowhere near the US in AI development, DeepSeek's achievements have cast doubt on this assessment. The company's ability to overcome US restrictions on semiconductor exports further underscores China's determination to become a dominant force in AI innovation.

The open-source nature of DeepSeek's models also has geopolitical implications. By making its technology freely available, DeepSeek is potentially positioning itself as the foundation for a global AI ecosystem. This could give China significant influence over the future development and deployment of AI technologies worldwide.

The Future of AI and Global Leadership

DeepSeek's rapid rise has forced a reassessment of the AI landscape and the factors that will determine success in this rapidly evolving field. While capital investment and access to cutting-edge hardware remain important, DeepSeek has demonstrated that innovation, efficiency, and a collaborative approach can be equally crucial.

The company's success also highlights the importance of talent and human capital in AI development. DeepSeek has reportedly recruited a team of highly skilled engineers and researchers, many of whom are recent graduates from top Chinese universities. This suggests that China is rapidly developing a strong talent pool in AI, which could be a key driver of its future success in this field.

DeepSeek's emergence as a major player in the AI field is a testament to China's growing technological prowess and its ambition to challenge US dominance in key areas of innovation. The company's success has raised important questions about the future of AI development, the global AI race, and the factors that will determine global leadership in the 21st century.

While it remains to be seen whether DeepSeek's success is a sign of China's inevitable rise as a world leader, it is clear that the company has disrupted the status quo and forced a reassessment of the global AI landscape. As the competition between the US and China intensifies, it is likely that AI will be a key battleground, with profound implications for the future of both nations and the world.