Your LMS gave you a certificate. AI will give you a reality check
You spent years collecting badges. AI will spend minutes telling you which ones you actually deserved
Let us go back to where modern testing actually began. Long before anyone was filling bubbles on answer sheets, organisations like ETS and Pearson were already running large-scale standardised exams on paper. ETS was founded in 1947, launched TOEFL in the 1960s, and only introduced computer-based testing in the 1990s. Pearson’s roots go back to 1844, with its dedicated testing arm Pearson VUE starting only in 1994. These institutions ran exams on paper for decades before technology entered the picture.
OMR sheets - where you shade circles and hand the paper to an examiner - came in simply as a faster way to process large volumes of answers. Then came fully computer-based exams, where candidates picked answers on a screen and saw scores instantly. That felt like a real leap forward.
As digital exams matured, a whole industry of Learning Management Systems was born - Workday Learning, SAP SuccessFactors, Cornerstone OnDemand, LinkedIn Learning, Docebo, TalentLMS - all promising to train and certify employees at scale. The global e-learning market today is valued at over $400 billion. Certifications became the new currency of professional credibility.
But at the core of every single one of these platforms sits the same thing - a fixed question bank curated by domain experts. The first time a candidate sits for the exam, it genuinely tests their thinking. That is the whole point, right?
Well, not for long.
The System Got Rigged - And Everyone Knows It
It did not take long before people started sharing questions with friends and colleagues. Soon, full question dumps were available online. People started selling these banks, and a cottage industry grew around “cracking” certifications. Candidates earned shiny badges and PDF certificates - kept their employers satisfied - without ever truly mastering the subject.
And then there are those who simply clicked “Next… Next… Next…” and finished a 30-minute course in under 30 seconds.
The deeper problem is this - if a candidate fails 5 important questions across 5 topics but answers the rest correctly, the system cheerfully says “Congratulations, you passed with 80%!” and hands over a sub-128 KB PDF with their name on it. That certificate says nothing about what they actually know. It is, in plain terms, a meaningless piece of digital paper.
What the Fix Actually Looks Like
This is completely fixable. And whoever fixes it first is going to own this entire market.
Here is what a reimagined, AI-native exam platform could look like. The candidate logs in, selects their topics upfront, and chooses their exam duration - 30, 60, or 120 minutes. Then an LLM-powered engine takes over.
Think of it like stress-testing in software development. The AI starts at a base difficulty and keeps pushing harder with every correct answer - mapping the full contour of a candidate’s knowledge, finding where their confidence holds and where it breaks. A candidate who answers 40 questions at difficulty level 7 over 45 minutes, getting 34 right, is telling you something far more meaningful than someone who scored 80% on a recycled question bank.
The final score would reflect that - something like difficulty level × correct answers × time efficiency. And the certificate would not just say “passed.” It would say: “This person answered X questions correctly across Y difficulty levels over Z minutes.” That is a credential actually worth something.
“Just Add More Questions” Is Not the Answer
Some will argue we just need a bigger question bank with harder questions. That is old thinking. We need systems that are AI from the ground up - systems that genuinely cannot be gamed because the questions are never the same twice and the path the exam takes is shaped entirely by the candidate’s own responses.
AI will make already intelligent people even more productive. In the same spirit, a truly AI-powered exam platform will help genuinely knowledgeable people rise above the noise and stand where they actually deserve to stand.
One valid concern - not every candidate is the same. Some experience test anxiety, others have accessibility needs. Any serious platform will need adaptive pacing and accessibility-first design built in from day one. That is not a reason to keep the broken system alive. It is a reason to build the new one more thoughtfully.
The Market Is Still Very Much Alive
Some argue certifications will become irrelevant once AGI arrives. But the numbers tell a different story - the volume of people taking professional tests has grown consistently year on year. Learning and assessment are not going anywhere.
The one who builds this AI-native testing platform before AGI arrives captures the whole market.
Will Microsoft Miss This Bus Too?
One name worth watching is Microsoft Viva, sitting right inside Microsoft Teams with over 320 million monthly active users and deep enterprise reach. The distribution advantage is already there. The question is whether they move boldly - or settle for bolting AI features onto the same old question-bank model.
Microsoft missed search. Missed mobile. Was late to enterprise AI. This might be its most consequential chance yet to get ahead of the curve - rather than spending billions catching up after someone else has already rewritten the rules.