The AI Delusion: How Big Tech Keeps AI 'Dumb' to Maximize Profits 💰🤖

Artificial Intelligence is everywhere—Copilot in Microsoft, Gemini from Google, and Siri quietly running in Apple’s ecosystem. AI is sold as a game-changer, but here’s the uncomfortable truth: The AI we get isn’t the AI we need.

Instead of revolutionizing industries, AI remains a controlled, low-key assistant. The question is: why? And what are the consequences for cybersecurity and AI-driven monitoring? Let’s break it down. 🧩

Big Tech’s AI Strategy: Keep It “Just Good Enough”

💡 Marketing the Illusion We’re told AI is a powerful tool that will “enhance productivity.” But is it truly groundbreaking? Not really. Tech giants intentionally release AI as an incremental add-on rather than a disruptive force.

Microsoft, Google, and Apple don’t want AI to replace their core revenue streams. Instead, they keep AI in a “useful but dependent” mode—so businesses and individuals pay for AI-powered subscriptions but still rely on existing software. AI delusion makes us think we’re at the edge of an AI revolution when we’re really just getting fancier automation.

⚙️ Monetizing Mediocrity If AI were truly autonomous, it could displace traditional software models. Imagine a Copilot that could fully automate software development or a Google AI that made search engines obsolete. That’s not in their best interest! Instead, they roll out controlled, predictable AI that adds convenience—but not transformation.

The Silent Crisis: AI in Cybersecurity 🛡️

While mainstream AI gets all the hype, industries like cybersecurity struggle with AI adoption. Intrusion Detection Systems (IDS) and AI-driven Monitoring could revolutionize how we detect and prevent cyber threats, yet adoption is shockingly low. Why? Because true AI-driven security would disrupt legacy security vendors who profit from reactive models rather than proactive AI-based defenses.

🚨 AI Can Predict, But It’s Not Used That Way Cybersecurity AI has the power to detect patterns, predict breaches, and automate responses, but many organizations still rely on traditional monitoring tools. The same companies that push AI as “the future” in productivity apps keep it at bay in areas where it could reduce their own influence.

Where Do We Go from Here? 🌍

AI is evolving rapidly, but we must shape its direction with intentionality and caution. Instead of being swept up by hype, it’s time to build a resilient AI ecosystem that serves long-term trust and security. Here’s what we should advocate for:

✅ Responsible AI autonomy — Systems that can act within defined, auditable boundaries, enhancing human capabilities without risking uncontrolled decision-making.

✅ Broader AI adoption in cybersecurity — AI that doesn’t just react to threats, but anticipates, monitors, and mitigates risks in real time—especially in areas like intrusion detection and behavioral monitoring, where uptake is still critically low.

✅ Interoperable and transparent AI infrastructure — Instead of relying solely on closed, corporate ecosystems, we need secure, open frameworks that promote innovation without compromising governance or oversight.

The future of AI should be disruptive, not just convenient. If we don’t challenge the status quo, we’ll keep paying for AI-powered subscriptions while missing out on the real AI revolution.

What do you think? Are we getting the AI we deserve, or just the AI that’s profitable? Let’s discuss! 👇