Wayne Lonstein, CEO, VFT Solutions, Inc. Anti-Piracy, Social Media and Cybersecurity law and practice.getty​Here’s an old proverb: “Give a man a fish, and you feed him for a day. Teach a man to fish, and you feed him for a lifetime.” Artificial intelligence is rapidly creating a dangerous third category: “Let AI fish for him long enough, and eventually he forgets how to fish at all.”Ironically, the 1978 comedy Animal House, a favorite of mine, came to mind when I was writing this article. I was a freshman at a small Pennsylvania school when the film came out. I lived in a Delta house exterior dormitory, so I could immediately relate to the characters in the movie. It was a defining moment for me in an era of immense change, with events like the Iranian hostage crisis, the Three Mile Island nuclear accident and the 1979 energy crisis topping headlines.Animal House may explain the danger better than many modern AI conferences. In one memorable scene, fraternity members desperate to pass an exam sneak into a dumpster searching for discarded answer sheets. They do not want to learn the material. They want the shortcut. But the rival fraternity anticipates the cheating attempt and intentionally plants fake answers in the trash. The students confidently memorize incorrect information, believing they have outsmarted the system.They confused access to answers with actual understanding. Modern society is beginning to make the same mistake with AI.For centuries, education, science and innovation revolved around mastery rather than merely achieving outcomes. Students struggled through equations because the struggle built reasoning. Scientists repeated experiments because the truth required verification. Apprentices practiced fundamentals because repetition built judgment and instinct.Civilization was teaching people how to fish, but AI changes the incentive structure entirely. Why wrestle with uncertainty when a machine generates instant conclusions? Why spend years mastering programming architecture when AI can generate functional code? Why read thousands of pages of legal, scientific or historical material when a chatbot can summarize it in seconds? Why fish when the fish simply appears on your plate?At first, this process may feel revolutionary: Productivity rises and friction disappears. But beneath the convenience, something more dangerous may be occurring: the slow erosion of intellectual self-reliance.The scientific method was never designed to optimize convenience. It was designed to optimize truth. And truth requires friction: observation, skepticism, hypothesis, testing, replication and revision. These are not inefficiencies in human cognition. They are safeguards against self-deception.AI systems, however, increasingly reward speed over comprehension and confidence over verification. They generate answers with extraordinary fluency, even when those answers are partially wrong or entirely fabricated. Legal hallucinations, fake academic citations, flawed software code and inaccurate summaries are already well documented. Yet, users often trust the output because the presentation itself feels authoritative. One author has referred to this phenomenon as “Frankencitations.”That dynamic is captured perfectly in another Animal House scene. Near the film’s conclusion, chaos erupts during a parade. Panic spreads everywhere. The situation is visibly collapsing. Yet, Kevin Bacon’s ROTC character stands in the middle of the disaster, screaming, “Remain calm! All is well! All is well!”Seconds later, he is trampled by the crowd.The scene works because the audience can plainly see reality diverging from confidence. The character clings to procedural reassurance long after situational awareness should have taken over. Modern AI increasingly creates the same psychological trap. The machine speaks fluently. The report sounds polished. The code appears functional. The explanation feels coherent, which inevitably causes humans to instinctively relax.People may say, “Remain calm. All is well.” But often, all is not well.The danger is not simply that AI can be wrong. Humans have always been wrong. The danger is that AI may condition people to become less able to recognize when something is wrong. It lowers intellectual vigilance while preserving the illusion of competence.A scientist who understands methodology can detect flawed assumptions. A programmer who understands systems can debug failures. A writer who understands language can recognize manipulation or hallucination. But a generation trained primarily to prompt machines may gradually lose the ability to distinguish genuine understanding from plausible synthesis. That is not augmentation anymore; it's intellectual outsourcing.Years ago, I described a similar phenomenon as “intechication”—society becoming intellectually inebriated by technology itself. Governments, businesses and institutions were becoming so dazzled by automation and digital acceleration that they were losing human situational awareness and judgment in the process. AI may now represent the most powerful form of intechication yet.Like intoxication, AI creates confidence disproportionate to competence. It produces euphoria around speed, scale and convenience while quietly impairing critical thinking beneath the surface. The intoxicated person rarely recognizes their own impairment. In fact, they often feel more capable than ever. That is precisely what makes intoxication dangerous.The final lesson from Animal House is, perhaps, the most revealing of all. After the cheating fails, after grades collapse and after the fraternity is expelled from campus, what do the characters do? They throw a toga party and get intoxicated. Instead of confronting failure, they anesthetize themselves from it. That metaphor increasingly applies to modern digital culture. When attention spans weaken, we automate the creation of summaries. And throughout the process, the machine calmly repeats, “All is well.” Even when evidence suggests otherwise.Dean Wormer’s famous line to Flounder in Animal House may now read less like comedy and more like a warning for the AI age: “Fat, drunk and stupid is no way to go through life, son.”Today, society risks becoming intellectually overfed, technologically intoxicated and cognitively passive all at once. The scientific method was intentionally designed to resist this kind of intoxication. It values verification over convenience and understanding over performance.AI culture increasingly reverses those priorities. The danger is not that machines may eventually think for us. The danger is that an intechicated society may eventually forget why thinking mattered in the first place. The message to business executives is clear: Sober analysis and reflection are required to avoid the dangerous paradoxical effects of over-implementing AI.Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?