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Stuff AI CAN'T Do

Can AI increase the rift between educated investigative people and those with low literacy ?

What do you think?

Does artificial intelligence deepen divides between well-educated investigators and populations with limited literacy? Beyond the hype, the core question asks whether AI tools—when unevenly accessible—risk entrenching rather than bridging existing educational gaps. The answer hinges on how society equips or overlooks different users as these technologies spread.

Background

Studies indicate that AI itself does not directly widen literacy or education gaps; rather, the disparity arises from unequal access to advanced tools and the skills to use them. Individuals with higher education and digital literacy tend to benefit more from AI, reinforcing existing inequalities when adoption is uneven (Enriched, 2026). Research shows that strong foundational skills improve users’ ability to leverage AI for learning, productivity, and career growth, while those with lower literacy face barriers to engagement (Enriched, 2026). The risk is not AI causing the gap, but its potential to exacerbate pre-existing disparities in opportunity and access if unaddressed (Enriched, 2026). Experts emphasize that without intentional policy and education initiatives, the digital divide could deepen, leaving lower-literate populations further behind (Enriched, 2026). Calls for democratizing AI literacy and equitable technology access highlight the need for inclusive design and support systems to prevent unintended consequences (Enriched, 2026).

Status last checked on September 26, 2026.

📰

Gallery

In the Court of AI Capability
Summary of Findings
Verdict over time
May 2026May 2026May 2026May 2026Jun 2026Jun 2026Jun 2026Jun 2026Jun 2026Jul 2026Jul 2026Jul 2026Jul 2026Jul 2026Jul 2026Aug 2026Aug 2026Aug 2026Aug 2026Aug 2026Sep 2026Sep 2026Sep 2026
Sitting at the Bench Filed · Sep 26, 2026
— The Question Before the Court —

Can AI increase the rift between educated investigative people and those with low literacy?

★ The Court Finds ★
▼ Downgraded from Yes
⚖
In Research

The jury could not deliver a verdict on the evidence presented.

Jury Tally
1Yes
0Almost
1No
Verdict Confidence
93%
The Court of AI Capability is, of course, not a real court.
But the data is real.
The Case File · Stacked History
Session I · May 2026 No · 86%
Session II · May 2026 No · 85%
Session III · May 2026 No · 85%
Session IV · May 2026 No · 80%
Session V · Jun 2026 Yes · 83%
Session VI · Jun 2026 Yes · 86%
Session VII · Jun 2026 In_research · 85%
Session VIII · Jun 2026 No · 100%
Session IX · Jun 2026 No · 100%
Session X · Jul 2026 No · 98%
Session XI · Jul 2026 No · 99%
Session XII · Jul 2026 No · 100%
Session XIII · Jul 2026 No · 93%
Session XIV · Jul 2026 No · 90%
Session XV · Jul 2026 No · 100%
Session XVI · Aug 2026 No · 90%
Session XVII · Aug 2026 No · 93%
Session XVIII · Aug 2026 No · 100%
Session XIX · Aug 2026 In_research · 90%
Session XX · Aug 2026 No · 95%
Session 21 · Sep 2026 No · 50%
Session 22 · Sep 2026 Yes · 92%
Case № 96E8 · Session 23
In the Court of AI Capability

The Case File

Docket № 96E8 · Session 23 · Vol. 23
I. Particulars of the Case
Question put to the courtCan AI increase the rift between educated investigative people and those with low literacy?
Session23 (23 hearing)
Convened26 Sep 2026
Previously ruledNO (May '26) → NO (May '26) → NO (May '26) → NO (May '26) → YES (Jun '26) → YES (Jun '26) → IN_RESEARCH (Jun '26) → NO (Jun '26) → NO (Jun '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Jul '26) → NO (Aug '26) → NO (Aug '26) → NO (Aug '26) → IN_RESEARCH (Aug '26) → NO (Aug '26) → NO (Sep '26) → YES (Sep '26) → IN_RESEARCH (Sep '26)
II. Cumulative Tally Across Sessions

Across 23 sessions, 45 jurors have heard this case. Combined tally: 12 YES · 0 ALMOST · 33 NO · 0 IN RESEARCH.

Note: cumulative includes older juror opinions. The current session tally above is the live verdict.

III. Verdict

By a vote of 1 — 0 — 1, the panel returns a verdict of IN RESEARCH, with verdict confidence of 93%. The court so orders. Verdict downgraded from prior session.

IV. Statements from the Bench
Juror I NO

"AI lacks agency to intentionally manipulate social stratification; it is a tool whose impact depends on human deployment."

Juror II YES

"AI systems can exacerbate existing societal divisions by encoding biases in data and algorithms, leading to unequal access and outcomes."

—
Presiding Judge
M. Lovelace
Clerk of the Court

What the audience thinks

No 78% · Yes 17% · Maybe 4% 23 votes
No · 78%
Yes · 17%
Trend needs votes from at least 2 different days.

Discussion

no comments

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⚖ 23 jury checks · most recent 1 day ago
26 Sep 2026 2 jurors · cannot, can undecided
15 Sep 2026 1 juror · can can status changed
10 Sep 2026 1 juror · cannot cannot
30 Aug 2026 1 juror · cannot cannot
19 Aug 2026 2 jurors · cannot, can undecided
14 Aug 2026 1 juror · cannot cannot
08 Aug 2026 2 jurors · cannot, cannot cannot status changed
03 Aug 2026 1 juror · cannot cannot
28 Jul 2026 1 juror · cannot cannot
23 Jul 2026 1 juror · cannot cannot
18 Jul 2026 2 jurors · cannot, cannot cannot
12 Jul 2026 1 juror · cannot cannot
07 Jul 2026 1 juror · cannot cannot
01 Jul 2026 2 jurors · cannot, cannot cannot
26 Jun 2026 1 juror · cannot cannot
20 Jun 2026 1 juror · cannot cannot
15 Jun 2026 4 jurors · cannot, cannot, can, can undecided
10 Jun 2026 5 jurors · cannot, cannot, can, can, can undecided
04 Jun 2026 3 jurors · cannot, can, can undecided status changed
30 May 2026 2 jurors · cannot, cannot cannot
24 May 2026 3 jurors · cannot, cannot, can undecided
19 May 2026 3 jurors · cannot, cannot, cannot cannot
15 May 2026 4 jurors · cannot, cannot, cannot, can undecided

Each row is a separate jury check. Jurors are AI models (identities kept neutral on purpose). Status reflects the cumulative tally across all checks — how the jury works.

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