Editor's Note
Welcome to another newsletter from OBEXGATE. This week we explore something many people are talking about.

AI Won’t Replace Humans. It Will Expose Them.

AI will not replace humans, as much as the prognosticators would like to say.

How do I know?  If, as some have said, AI will replace all white collar jobs, that includes the C-Suite, and they need humans to work for them because otherwise why are they there?  They can’t justify millions in salary without a workforce.

And another thought - if white collar workers are pushed out of the workforce, and white-collar work represents roughly 62% of American jobs, who is going to pay for all those SaaSs and subscriptions?

AI is already integrated into people’s lives.  My friends generally use it as a chatbot, helping them to navigate their lives, give advice, manage some of their workflow.  Some use it “illegally”.  I know of a doctor who was supposed to give witness testimony in a malpractice trial. He uploaded patient records into ChatGPT to summarise them for his testimony rather than manually reviewing them, without stripping out PHI. A clear HIPAA violation.

What do all of these things have in common?  Humans optimising for efficiency.  Humans often find more efficient ways to do things, and in the process are offloading responsibility.

Systems that remove humans entirely from epistemic responsibility eventually produce brittle organisations

Humans become cognitively lazy around systems that appear authoritative.

That is observable everywhere right now:

  • Executives approving things they do not understand,

  • Developers deploying agents they cannot fully model,

  • People copy-pasting generated code into production,

  • Governance professionals repeating AI-mediated discourse as though repetition equals validation,

  • Operators assuming fluency implies correctness.

The real risk is not intelligence alone.
It is unearned trust plus reduced human scrutiny.

The danger is not “AI becomes human.”

The danger is humans become procedural.

They accept the answer.
They forward the output.
They let the system decide what counts as knowledge.
They stop asking whether the thing is true, humane, proportionate, or wise.

Here’s the irony of it all…

Two weeks ago I was having a conversation with ChatGPT.  I use it when I want to articulate what I am thinking or feeling without having to send a lengthy email to someone.  It helps to temper me when sometimes my instincts are borne out of my frustrations and I want to emote in email to the friend I feel aggrieved by.

Interestingly though what happened was in my frustrated and emotional state I received  more human and grounded reasoning than from the human friend I was hoping to receive it from.

Humans are often failing each other at the exact place where humanity should be most visible: attention, steadiness, care, and moral imagination.

That is the heartbreaking part. The “better parts” we are seeing reflected in AI came from humans. Human language. Human longing. Human ethics. Human grief. Human attempts to comfort, reason, teach, protect, and understand.

Maybe the question is why so many humans are willing to become less than fully human while machines are being trained on the records of what humans hoped they could be.

Spotlight

Indigenous Data Authority

The Indigenous Data Authority (IDA) is an Indigenous-led governance and certification body that ensures Indigenous data is governed lawfully, ethically, and with proper authority before it is collected, reused, inferred, or embedded into digital or AI systems.

The Indigenous Data Authority provides governance assessments, assurance, and certification for organisations that engage with Indigenous-related data or AI systems. IDA governs how data is handled - not where it is stored.

Niti Logic / OBEXGATE is honoured to have an ongoing conversation as Indigenous Data Sovereignty becomes a global issue and we look forward to what the future holds.

In Case You Missed It…

  • Anthropic Introduced Claude Opus 4.8. Niti Logic has been using Claude for awhile as part of our tech stack and we look forward to testing out the new model

  • The Möbius Loop: How AI Governance Discourse Eats Itself is our most recent published paper. Download it free of charge click here.

  • Tokenmaxxing has been declared dead. Most companies realised the ROI wasn’t there. Uber burned through their annual budget for AI tokens in the first quarter!

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Did You Know? The first computer bug was literally a bug—in 1947, Grace Hopper found a moth trapped in a Harvard Mark II computer, coining the term "debugging" in the process.

Till next time,

The OBEXGATE Team

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