A consulting giant just got caught red-handed. The consulting firm had to refund part of a $290,000 government contract after delivering a policy report riddled with AI-generated fabrications, fake quotes attributed to federal judges, references to experts who don't exist, citations to reports that were never written. This wasn't some low-stakes blog post. This was a report meant to shape national welfare policy.
It's not just a breach of trust and integrity. It's a symptom of a larger issue that's racing toward critical levels across the globe.
And it's not one of instances, California recently had to issue fines to the lawyers for relying on chatgpt to do their job.
AI slop! A meaningless, wrong, or misleading content made using AI, is spreading like a zoonotic virus. It jumped from spam content and fake social media posts to the highest-trust environments: government policy reports and business consulting deliverables that shape countries' direction, policies, and infrastructure.
About half of all online content now has some element of AI in it. Within that 50%, the majority is AI slop. Content generated not because it's accurate, but because AI makes it cheap and easy. When AI hallucinates citations, invents experts, or fabricates data, and humans don't catch it, we get exactly what happened with Deloitte.
If this can happen in a $290,000 government contract with one of the world's most prestigious consulting firms, where else is it happening? How many business strategies and infrastructure plans are built on hallucinated foundations?
Corporations face the same crisis. The rush to deploy AI everywhere has created perverse incentives where adoption trumps accuracy.
The risks are real: market research citing non-existent studies, legal briefs hallucinating case law, financial models with fabricated data, technical specs inventing safety parameters. Companies are now hiring "vibe coding cleanup specialists" (yes, that's a real job) to fix AI messes. But that's treating symptoms, not preventing the disease.
Here's the deeper issue: trust is the invisible infrastructure of civilization. The AI genie is out of the bottle, and public choice theory tells us people operate in their own best interest. If someone can use AI to generate a report in a fraction of the time with low risk of getting caught, they'll take that shortcut. The incentive structure is broken.
AI detectors and cleanup programs are reactive measures, patching holes in a cracking dam. If we don't address this now, the cost of verification will outweigh the efficiency gains AI promised in the first place.
The solution isn't abandoning AI. That ship has sailed. The solution is demanding 100% accuracy AI, synchronized with human verification. Not "pretty good" AI. Not "good enough for most cases."
100% accuracy. Nothing less.
The tech sector will push back. They'll say 100% accuracy is impossible, that we need to accept "reasonable" error rates, that we can't slow innovation. But would you accept a "mostly accurate" bridge design? A "pretty reliable" medication dosage? A "good enough" aircraft navigation system?
Sukshi approach provides 100% AI accuracy, where the new work model enables professional experts to learn how machines learn and collaborate with them in real time. Result?Not just humans in the loop but a Human-Synchronized AI that gives you 100% accuracy every time. Efficiency of Machine with trust & integrity of Human professional experts.
High-stakes decisions demand high-fidelity information. We need Human-Synchronized AI to achieve 100% accuracy.
We don't have the luxury of waiting for "better AI models." The trust deficit is accumulating faster than solutions are deploying. The Deloitte scandal won't be the last, but it could be the wake-up call we need.
The organizations that implement Human-Synchronized AI now will build competitive advantages through reliability. The ones that don't will face increasing scrutiny, erosion of client trust, and eventual regulatory pressure as more incidents come to light.
Accept nothing less than 100% accuracy. Demand Human-Synchronized AI.
The alternative is a world where verification costs spiral, trust erodes, and the efficiency gains we sought from AI get consumed by the cleanup required to fix its mistakes.