top of page
Untitled design (28).png

Forget AI Takeover. The Real Crisis Is That We Stopped Caring About Truth.

ree

Every week, a new tidal wave of posts hits social media: Will AI replace us? How should we integrate AI? What do we teach in the age of AI? They’re dramatic, clickable, and excellent for online engagement. They’re also missing the point.

The real frontier of the AI era is not automation versus humans. It’s whether institutions still care about the fundamentals, their legacy, their standards, and the truth that underpins everything they do.

We’ve become so obsessed with the mechanics of AI, how to use it, how to regulate it, how not to be replaced by it, that we’ve forgotten to ask a more urgent question:


Do we still value the integrity of the knowledge we produce?

AI Doesn’t Erode Standards. People Do.


At the QS Reimagine Education conference, educators are debating how AI reshapes learning. The loudest claims warn us that AI is transforming business schools at “record speed.”

But the subtle truth is the one that matters: AI only matters as much as the humans behind it.

Faculty still drive learning. Staff still shape the experience. Leaders still set the direction. Students still bring the ambition. And technology, AI included, is only as powerful as the intentions and competencies of the people who wield it.

This is the part we forget, especially when the online conversation rewards exaggeration over nuance and tension over clarity.


Deloitte’s AI Scandal Shows the Real Risk—Not Automation, but Abandonment of Legacy


Consider the latest news: the $1.6M Canadian healthcare report containing citations from papers that don’t exist. False authors. Fake academic sources. “Citation corrections” that suddenly appear after journalists investigate.

Deloitte insists AI “was not used to write the report”, only used to “support a small number of research citations.”

That explanation only deepens the real concern.

Because the real issue is not improper use of AI. It’s the erosion of fundamental practices that any credible institution must uphold:


  • verification of sources

  • accountability for conclusions

  • respect for authorship

  • stewardship of knowledge


These failures are not technical. They are cultural.

When a global firm cannot guarantee the truth of its own report, the lesson is not “AI is dangerous.”


The lesson is:

A business that forgets its own legacy of rigor and truth will outsource its integrity to convenience.

And the cost is enormous. The cost is trust.


The Hard Question Every Institution Must Ask


The AI era demands something deeper than new tools or guidelines. It demands that institutions audit their own commitment to truth.

Do we still have the humility to question ourselves? Do we still care enough to verify what we publish? Do we still treat knowledge as an asset that must be earned, not automated?

Truth verification is not a technical chore. It is a cultural stance. It is a willingness to be transparent even when it is uncomfortable. It is the long-term view that avoids short-term shortcuts.

Because misinformation does not just mislead an article. It damages brands. It erodes public confidence. It exposes companies, universities, and governments to reputational and economic loss.

In Deloitte’s case, it turned a million-dollar report into a million-dollar warning.


AI Isn’t Replacing Us. It’s Revealing Us.


AI does not create fake citations without human oversight failures. AI does not dilute academic integrity unless academic institutions allow it. AI does not destroy trust, organizations do, when they choose speed over standards.

The real disruption of the AI era is the mirror it holds up:


Are we still the kind of organizations that protect truth? Or have we become the kind that looks the other way as long as the output looks impressive?

The answer to that question, not the capabilities of AI, will determine who thrives and who collapses in the next decade.

Not because AI replaces humans. But because AI exposes which humans have lost their relationship with rigor.


The Future Belongs to Institutions and Organizations That Still Care About Their Legacy


The institutions and organizations that will lead in the AI era are not those with the most advanced technology, but those that still care enough to:


  • preserve their standards

  • validate their knowledge

  • protect their reputations

  • question themselves when needed

  • expose and compare enough to validate their knowledge

  • attach their name only to truth they are willing to defend


Because the real competitive advantage of the future will not be automation. It will be integrity at scale.


Disclaimer

Yes—let me say it upfront: I am the founder of TiiQu and the initiator of TruthTech, including the QuTii Truth Library.[ 1-pager for your consideration]

So of course I’m biased. Painfully, unapologetically biased. Biased toward a future where knowledge isn’t distorted, where diversity of sources isn’t a branding slogan, and where truth isn’t something we outsource to algorithms and hope for the best.

But here’s the part that might sound controversial:

Truth Library doesn’t need anyone in order to function. We can automate, retrieve, correlate, rewrite, and disseminate Q&As at scale. Independently.

That is not why I am calling for collaborators.

The real reason is this:


**Because building a new knowledge infrastructure should never be a solitary exercise in technical capability


it must be a collective act of intellectual courage.**

If organizations truly believe in diversity of knowledge creation, truth stewardship, and collective growth, then they should want to join forces, not because the system can’t run without them, but because the willingness to rethink what’s broken is the only way anything meaningful ever changes.

Truth Library is an invitation. A provocation. A challenge to those who say they care about truth but rarely act on it. A space where universities, publishers, researchers, and truth-driven institutions can help shape the backbone of a more transparent knowledge era.

If that sounds uncomfortable, good. If it sounds exciting, even better.

Look into QuTii. And if your organization stands for truth, diversity of thought, and the future of knowledge, don’t watch from the sidelines. Build it with us.

bottom of page