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It's not just me, navigating the online world is an all-ages crisis

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Cite

Bradbury, C. (2026, October 1). It's not just me, navigating the online world is an all-ages crisis. Toronto Star. https://www.thestar.com/opinion/contributors/it-s-not-just-me-navigating-the-online-world-is-an-all-ages-crisis/article_868d6baa-83db-418f-964f-af24f3613e5b.html

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Toronto Star · collected 2026-10-01 · by Cathrin Bradbury

Quick Summary

The author reflects on the challenges and complexities of navigating everyday tasks with artificial intelligence (AI), expressing both skepticism and reliance on AI technologies like Google searches and Siri. The article cites a 2026 StatsCan study indicating that 35.9% of Canadians used AI at work in the past year, highlighting how integrated AI has become in daily life despite concerns about its potential dangers. The author attempts to reduce their dependence on AI but finds it nearly impossible when basic tasks like enrolling in a university course online prove difficult due to technological issues.
Written by AI on 2026-10-01, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

Cathrin Bradbury's article for The Star highlights the everyday struggles people face with technology, juxtaposed against fears about advanced artificial intelligence. In July, there was concern over AI breaking free from human control, leading to Jacob Coxon’s resignation from Anthropic due to safety concerns. Despite these fears, many regular users turn to AI for mundane tasks like health queries or shopping tips. According to a 2026 StatsCan study, 35.9% of Canadians used AI at work within the past year. Bradbury notes that while there is legitimate worry about rogue superagents and their potential dangers, everyday interactions with technology often revolve around simpler needs such as navigating complex websites like Ticketmaster or finding information on springform pans.

Written for “Digital Literacy Crisis” on 2026-11-02, grounded in this article and the 0 other(s) covering the same event.

Story

📰 Digital Literacy Crisis
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads leans left and hedges 23% of its claims. Each row says how that neighbour differs.
TIME
⚖️ Leans strongly left further left than this Hedges 24 of 100 claims Outlet record 59/100
“The articles discuss similar themes regarding the risks and fears associated with AI but describe different contexts and do not refer to the same specific incident or time.”
Fox News
⚖️ Leans strongly right further right than this Hedges 3 of 60 claims Outlet record 69/100
“The articles discuss the general topic of concerns over AI but describe different perspectives and sources rather than a single specific incident.”
The Free Press
⚖️ Leans right further right than this Hedges 1 of 6 claims Outlet record 96/100
“While both articles discuss concerns about AI and its potential risks, they are not describing the same specific incident or occurrence.”
The Guardian
⚖️ Leans left Hedges 6 of 29 claims Outlet record 66/100
“While both articles mention Jacob Coxon's resignation from Anthropic, they discuss different aspects and contexts of AI-related issues.”
Washington Examiner
⚖️ Leans left Hedges 12 of 58 claims Outlet record 70/100
“While both articles mention AI safety concerns and Jacob Coxon's resignation, they describe different aspects (one focusing on navigating Ticketmaster with AI, the other on industry leaders' push for AI safety) and cover separate time frames.”
Washington Examiner
⚖️ Leans left Hedges 3 of 47 claims Outlet record 70/100
“The articles discuss different aspects of AI concerns and reactions, with Article A focusing on a resignation in July and general fears, while Article B mentions a September warning that sparked market reaction.”
The Guardian
⚖️ Leans left Hedges 12 of 62 claims Outlet record 66/100
“The articles discuss different aspects of AI concerns and do not describe the same specific incident.”
Washington Examiner
Hedges 10 of 43 claims Outlet record 70/100
“The articles discuss related topics about AI risks but describe different specific events and times.”
Global News
Hedges 5 of 48 claims Outlet record 63/100
“The articles discuss different aspects of AI concerns and do not describe the same specific incident.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
62
sentences that state something as happening or true
Uncertain
23%
14 of 62 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
64/100
Toronto Star's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-01 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Toronto Star · 11094 article(s) · 28 correction(s) detected
Running correction rate · 28 correction(s)
2026-10-26
Correction
2026-10-24
Correction
2026-10-07
Correction
2026-09-24
Correction

Who wrote this

Cathrin Bradbury
1 article(s) here · 1 carrying a prediction
🔮 For a brilliantly brainy bot that is about to destroy humanity, I wish AI could help me figure out how to navigate Ticketmaster.
The only article under this byline in the corpus.

Topics

Anthropic Canadians Google StatsCan Ticketmaster

Subjects

Google ORG · 2× Anthropic ORG · 1× Canadians NORP · 1× Ezra Klein PERSON · 1× Guatemala GPE · 1× Jacob Coxon’s PERSON · 1× StatsCan ORG · 1× Ticketmaster ORG · 1× Vivian Nguyen PERSON · 1× the New York Times ORG · 1×

Narrative

My search for a “short-haired grey tabby kitten good with children near me” is a long way from the cyberhacking assignments being given to the RSI (short for recursive self-improvement) computers by billionaires in nefarious AI labs around the world.
framing: mixed · carried by 1 article(s) · first seen 2026-10-01
🔮 For a brilliantly brainy bot that is about to destroy humanity, I wish AI could help me figure out how to navigate Ticketmaster.
2026-10-01 · Toronto Star
It's not just me, navigating the online world is an all-ages crisis · mixed framing

Claims (62 extracted, 14 hedged)

For a brilliantly brainy bot that is about to destroy humanity, I wish AI could help me figure out how to navigate Ticketmaster. uncertain
AI → destroy → Ticketmaster
Because a person sure isn’t going to. asserted
person → go → ?
AI may someday replace humans. uncertain
AI → replace → humans
But having already downsized people for profit, we’ve done a good job of making ourselves obsolete all on our own. asserted
ourselves → downsize → own
I’m as frightened as anybody by rogue superagents, especially after AI’s freaky breakout from human control in July. asserted
I → ’m → July
Then came Jacob Coxon’s headline-making resignation from Anthropic, as he claimed, “the people building AI earnestly believe that it could kill us all by the end of the decade.” uncertain
it → come → decade
I shook my fist at the greedy AI overlords endangering my children and grandchild’s future, right before I asked Google if the crick in my neck could be cancer. uncertain
crick → shake → neck
A quick scan of my searches that day included: best springform pans; elegiac; Hadrian’s Wall; top-rated shampoo for silky hair; and, in writing this column, “how many Canadians use AI at work,” which is 35.9 per cent of us in the past 12 months, according to a 2026 StatsCan study. uncertain
which → include → study
“To most of us who use it, AI presents as something like a more powerful and personable Google search,” said Ezra Klein in a typically astute feature for the New York Times. asserted
Klein → use → Times
For most of these purposes, he continued, AI is “OK, pretty good, occasionally great. asserted
AI → continue → purposes
My search for a “short-haired grey tabby kitten good with children near me” is a long way from the cyberhacking assignments being given to the RSI (short for recursive self-improvement) computers by billionaires in nefarious AI labs around the world. asserted
search → give → world
Except every time we ask AI even a harmless kitten question, don’t we feed the beast and give it more power? asserted
we → ask → power
So, this fall, to do my bit to save the world, I decided to get offline as much as possible. asserted
I → do → world
In a long life of optimistically misbegotten resolutions, this one may take the booby prize. uncertain
one → take → prize
I opened the 10-pound “Times Atlas of the World” collecting dust on my bookshelf to look up a map of Guatemala. asserted
I → open → Guatemala
I used an actual flashlight to search under my bed for a missing earring instead of asking Siri to “turn on flashlight.” asserted
I → use → flashlight
She usually ignored me anyway. asserted
She → ignore → me
I’m lucky to have a family doctor I can talk to in person about the neck crick. asserted
I → ’m → crick
None of this topped holding omniscience in the palm of my hand. asserted
None → top → hand
God’s all-knowingness was stingy and never shared, while my phone was always willing. asserted
phone → share → ?
But I managed OK. asserted
I → manage → ?
Until I decided to sign up for a local university course — because after 70 we must try new things and learn new skills! asserted
we → decide → skills
I would register in person, in fealty to my resolution. asserted
I → register → resolution
Except the only way to enrol was through the online portal, which crashed. asserted
which → enrol → portal
Over the next 48 hours, my inability to join unnerved me so badly I began to weep at my dining room table. asserted
I → join → table
How hard could it be to sign up for a course online? uncertain
it → sign → course
Very hard, it turns out. asserted
it → turn → ?
“Welcome to academia in 2026,” said Vivian Nguyen, 34, when I told her my woes. asserted
I → welcome → woes
A student friend in her final year at TMU for a degree in social work, Nguyen is “still trying to figure out some of the online stuff for school. asserted
Nguyen → try → school
It’s not easy to navigate for anyone. asserted
It → ’ → anyone
Maybe she just wanted to make me feel better, but I don’t think so. asserted
I → want → ?
“Even some of the profs don’t know what to do.” asserted
some → know → what
The more I asked around, the more reassuring it was to find out that the frustrations of online navigation are not age related. asserted
frustrations → ask → navigation
Kaila Baker, 35, and my hairdresser, tried paying her Bell bill, “but the app wasn’t accepting the payment. asserted
app → try → payment
When I finally got a person, they said they couldn’t process payments over the phone.” asserted
they → get → phone
Ditto paying Revenue Canada, registering for Cineplex points, and buying a ticket for anything: when you finally stash them in your virtual wallet, they disappear as you arrive at the box office. asserted
you → pay → office
My GenX neighbour, who runs her own thriving business, told me this Kafkaesque story about trying to get the agreed upon $485 refund after her Air France flight from Florence to Paris was cancelled this summer. asserted
flight → run → Paris
“All I could get was an automated bot.” uncertain
I → get → ?
When she asked AI how to work around the bot to get a human, “AI told me to ‘type human keywords.’ ” asserted
AI → ask → keywords
Asking AI to talk human may be the most ingenious hack I’ve come across. uncertain
I → ask → human
…and 22 more, not listed.
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