Millions of People in Canada Are Finding AI-Enabled Support for Mental Health Effective Amid Ongoing Questions Around Trust.
(OTTAWA) July 8, 2026 — New polling shows approximately six million people in Canada used AI-enabled tools for mental health support in the past year and most find them effective. Today, the Mental Health Commission of Canada (the Commission), in partnership with Mental Health Research Canada (MHRC) and Pollara Strategic Insights, releases the first nationally representative data on how people in Canada engage with digitally supported mental health tools, including AI and virtual care, across every province and demographic.
Quick Facts:
- 1 in 7 people in Canada used AI mental health tools in the past year
- Three out of four who used AI and virtual mental health services found them effective for their well-being
- Only 14 % trust AI tools, just 2% trust them completely
- 40 % of AI users said they were more likely to seek professional care
- Nearly half (45%) who accessed mental health care did so virtually, in whole or in part
WHY IT MATTERS
People in Canada are turning to AI as a convenient way to access mental health support. AI-enabled tools may offer greater convenience and accessibility. Among those surveyed, AI is being used because it is:
- Free or low-cost; 46% of AI users cite this as the reason they use it during a time when financial stress is itself a cause for anxiety.
- Always available; 44% of AI users cite 24/7 access.
- Immediate and convenient; it can be used from anywhere without travelling or waiting for an appointment. For someone in rural Canada, it saves time and travel costs.
- Seemingly private; 39 % of AI service users cite private, anonymous support as a reason for use, while privacy and data protection remain key public concerns.
AI is most used for general well-being (42%), companionship (36%), and mild-to-moderate stress (36%), and 40% of AI users said they were more likely to seek professional care.
WHO IS USING IT AND HOW MUCH DO THEY TRUST IT?
Use is higher among people in Canada under 35 (27%; 29% among men aged 25–34), newcomers to Canada (28%), racialized people in Canada (23%), and 2SLGBTQI+ communities (20%), populations that may experience greater barriers to traditional care.
Overall, trust remains low, particularly for AI-enabled tools, where only 2% of people in Canada trust them completely. People in Canada over 55 show the lowest adoption and trust.
VIRTUAL CARE: EFFECTIVE AND MORE TRUSTED BUT FALLS SHORT OF IN-PERSON SERVICES
45% of people in Canada who used mental health services in the past year did so virtually, with 75% reporting positive outcomes. However, nearly 1 in 3 prefer a hybrid model that combines virtual and in-person services. The data signals what people in Canada need: well-designed tools for safer digital mental health care that they can trust.
THE COMMISSION OFFERS GUIDANCE FOR THE DIGITAL MENTAL HEALTH ERA
The Commission is Canada’s trusted resource for safe digital mental health — assessing apps and tools, setting evidence-based standards, and leading the national conversation on guidance for AI in mental health and substance use health care.
As virtual services and AI-enabled tools continue to expand rapidly across the mental health landscape, there is a growing need for evidence-based insight into how people in Canada engage with, understand, and perceive them. The Commission partnered with MHRC to leverage their ongoing national polling initiative and provide timely insights into usage, attitudes, and concerns related to e-mental health and AI.
The polling is clear: people in Canada want to close the gap between availability and trust. The Commission is working with the Canadian Centre on Substance Use and Addiction and collaborators, provincial governments, technology developers, and health system partners to establish guidance for AI.
“Six million people in Canada have already used AI for mental health support and most found it convenient and effective for their well-being. It is critical that AI is safe and equitable to increase public trust and reduce harms.” – Lili-Anna Pereša, President and Chief Executive Officer, Mental Health Commission of Canada
“The people turning to digitally-supported mental health tools are often those facing some of the greatest barriers to care. Making sure these tools are safe, effective, evidence-based and human-centred is a matter of equity. Ongoing research is essential to understanding where they help and where safeguards are needed.”– Akela Peoples, Chief Executive Officer, Mental Health Research Canada
About Mental Health Commission of Canada
As an independent, not-for-profit with charitable status, the Commission collaborates with leading experts and organizations nationally and internationally, including with people with lived and living experience, to develop national guidelines, standards and strategies, promote innovation and best practices, reduce stigma, increase mental health literacy, and support all levels of government to improve mental health outcomes for everyone living in Canada. The Commission is Canada’s trusted resource for digital mental health best practices with the e-Mental Health Strategy for Canada, app assessment, e-modules for e-mental health implementation, and AI guidance for mental health and substance use health.
About Mental Health Research Canada
As an independent national charity, MHRC works hard to enable a future where mental health in Canada is transformed using evidence, data and stakeholder engagement. We unite researchers, communities, and people with lived experience to bridge gaps in care through national population polling, rapid data reporting, and partnerships that inform policy to improve outcomes. Learn more at www.mhrc.ca
About the Polling
Conducted by Pollara Strategic Insights in partnership with Mental Health Research Canada and the Mental Health Commission of Canada, this national poll (n=3,519) is the first representative data on AI use for mental health in Canada. Full findings: https://mentalhealthcommission.ca/AI-polling-report
About the Funding
The views in this report solely represent the views of the Mental Health Commission of Canada. Production of this report is made possible through financial contribution from Health Canada.
Media Contact
Heather Bakken, Pendulum Group
email: heather@pendulumgroup.ca
cell: 613-406-5432
The post Millions of People in Canada Are Finding AI-Enabled Support for Mental Health Effective Amid Ongoing Questions Around Trust. appeared first on Mental Health Commission of Canada.
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South Korea’s hottest new bachelors are chip workers
Baek, a 35-year-old manager at the South Korean semiconductor titan SK Hynix, was enrolled in Sunoo, a matchmaking company based in Seoul, a year ago. In a move typical of anxious South Korean parents, his mother signed him up, hoping to find a good wife for her son.
Lately, says Baek (who asked to be referred to by his last name to protect his privacy), he and his coworkers are having better luck finding dates than they used to, perhaps because of the dazzling bonuses they just got. Flush with eye-popping profits from the AI chip boom, SK Hynix struck a landmark deal last year with its labor union to pay out 10% of operating profits to employees, which translates to an extra $476,000 per employee this year. A similar agreement and sizable lump sum followed for Samsung workers this May.
With their newfound wealth, chip workers like Baek have become the most sought-after bachelors and bachelorettes in South Korea. “I have a coworker who’s perpetually going on blind dates, and he’s been getting so many recently,” says Baek. “For the past few months, I’ve been getting many blind dates too, perhaps because of the bonuses I got.”
Lately, young South Koreans joke online that the best outfit to wear on a blind date is an SK Hynix uniform.
The AI chip boom is changing the social fabric of South Korea by minting a new elite of “silicon-collar” workers earning about 20 times as much as the average South Korean. Although it’s helping some chip workers to find relationships, it’s also fueling fears of a deepening wealth disparity—and a loud public debate about inequality.
Love in the time of chips
South Korea is the epicenter of the chip boom fueling the AI race. Samsung and SK Hynix supply the vast majority of the world’s high-bandwidth memory (HBM) chips, which power Nvidia’s AI accelerators—the GPUs used to train AI models. As AI companies spend hundreds of billions of dollars on building data centers around the world, demand for HBMs is rising beyond what suppliers can keep up with, driving their prices to unprecedented levels. Samsung and SK Hynix are raking in record profits as a result.
South Korea’s economy now orbits the two chip giants. In May, both companies topped $1 trillion in market value. And chip exports helped fuel a 1.7% surge in South Korea’s gross domestic product in the first quarter of 2026. South Korea’s main equity index, Kospi, has nearly tripled over the past year, becoming the best-performing market in the world.
Swimming in cash, chip workers are going on shopping sprees in department stores near the “semicon belt” fabs—splurging on everything from lavish furniture and electronic appliances to jewelry and watches. They’re also snapping up homes near the commuter-shuttle routes that ferry workers to campus. And they’re shelling out for matchmakers.
“Quite a lot of people ask me if I can introduce them to chip workers,” says Lee Sung-mi, a matchmaker at Sunoo, who has been playing Cupid for chip workers for years. “In fact, people who once rejected them are asking to be matched with them again, now that their salaries and bonuses have shot so far above what everyone else earns.”
One woman who lives in Gangnam, a ritzy district in Seoul lined with luxury high-rises and designer boutiques, previously turned down a chip worker at SK Hynix because his fab was too far out in Icheon, a rural city about 50 miles southeast of Seoul that’s dotted with rice farms and manufacturing plants. But in May, she asked her matchmaker to set them up again. They’ve now been dating for a month.
In South Korea, matchmaking companies evaluate their clients on a long list of criteria such as education, job, income, looks, and family background, including whether their aging parents have saved enough for retirement. In an economy where housing prices and child care costs are soaring, competition for jobs is fierce, and the social safety net is thin, a good job is the ultimate dating credential—all the more coveted at a time when many young South Koreans are forgoing marriage and children altogether, seeing family life as an unaffordable dream.
Every client at Sunoo gets a spouse rating, determined by an algorithm that assigns scores for each criterion. Since their hefty bonuses were announced, the job ratings of Samsung employees have risen from 80 to 84, while those of SK Hynix employees climbed from 78 to 82. Scores above 90 are reserved for doctors and lawyers. Long prized as paragons of prestige and wealth, they’re now close to being overtaken by chip workers. A score of 99, the highest possible rating, is earmarked for heads of state.
Their new status is reshaping how chip workers themselves approach dating. “Chip workers from Samsung and SK Hynix are enrolling in our services because they feel more financially ready,” says Lee. “They’re also becoming pickier, as they feel like they’re now in a good position. The women want to meet men with higher incomes and better jobs, and the men want to meet younger and better-looking women with better jobs.”
An SK Hynix engineer in her 40s, who was once desperate to get married as soon as possible, started turning down men she would’ve dated before the chip boom. Lately, showered with more matches, she’s been sifting through her suitors more carefully. “She now has peace of mind and wants to take her time to meet someone better,” says Lee.
A mixed blessing
While chip workers enjoy the fruits of their labor, the bonus bonanza is stoking anxieties among other South Koreans. “When wealth disparity is no longer a mere difference of income but, rather, a difference in identity … it can fuel social conflict,” says Se-eun Jung, an economist at Inha University.
Earlier this month, the Bank of Korea warned that the chip boom will create a “K-shaped” economy, where a handful of workers race ahead while everyone else falls behind. The windfall, the bank said, is flowing to high income earners and then barely trickling out to the broader economy. Such polarization could erode people’s motivation to work by narrowing the path to upward mobility, it cautioned.
Workers in other industries are venting online about feeling demoralized by the ballooning wealth gap. “The one-billion-won ($650,000) bonuses have crushed my motivation to work. I have no energy when I teach,” an employee of the Seoul Metropolitan Office of Education wrote on Blind, an app where employees can discuss their workplaces anonymously. Others are giving up the job hunt, lamenting that years of working at a small company could never match a year’s bonus at Samsung.
In a Facebook post in May, presidential policy chief Kim Yong-beom proposed paying an “AI dividend” to citizens by taxing AI profits. The idea sparked a heated public debate over whether the government should redistribute gains from the chip boom. Some argue that the industry is indebted to the society that has educated its engineers, subsidized its infrastructure, and provided tax credits. Others counter that the profits are already being shared with the public as stocks.
Then there’s the question of how long this new social class will last. The semiconductor industry is notoriously cyclical; AI spending may cool, or rival chipmakers could catch up. There’s also the risk that chip workers will be replaced by automation. Samsung announced in March that it plans to fully automate its fabs by 2030, drawing backlash from chip workers.
Although he doesn’t know how long the boom will last, chip workers like Baek are riding high. “These days, we say we want to work hard and bury our bones here [at SK Hynix],” he says. “And I hope I can find [a wife] similar to me.”
Virtual Reality–Based Relaxation Training and Symptom Improvement Among Inpatients With Depressive Disorders: Retrospective Nonrandomized Comparative Study
Background: Virtual reality (VR) is increasingly used for adjunctive relaxation training in psychiatric care. However, evidence remains limited among hospitalized patients with depressive disorders, particularly in routine inpatient settings in China, and little is known about whether improvement varies by session frequency. Objective: This retrospective study examined whether adjunctive VR-based relaxation training was associated with changes in depressive and anxiety symptoms among inpatients with depressive disorders and whether improvement differed by session frequency. Methods: We conducted a retrospective, nonrandomized natural-group comparison using complete anonymized medical records from patients hospitalized in Lishui Second People’s Hospital between January 1 and December 31, 2022. Patients met () diagnostic criteria for depressive episodes or recurrent depressive disorders and were screened using predefined criteria. The analytic sample included 133 inpatients: 63 (47.4%) received adjunctive VR-based relaxation training plus usual care and 70 (52.6%) received usual care only. Usual care included pharmacotherapy and physiotherapy. The VR intervention consisted of 25-minute immersive relaxation sessions delivered approximately 3 times per week. Symptoms were assessed at admission and discharge using the 17-item Hamilton Depression Scale and Hamilton Anxiety Rating Scale. Response was defined as a reduction of 50% or more from baseline, and remission was defined as a total score of 7 or less. Baseline characteristics, outcome scores, response and remission rates, and exploratory session-frequency subgroups were compared. All analyzed variables were checked against complete medical records; no missing values were identified, and no imputation was performed. Results: The VR and control groups did not differ significantly in baseline depressive or anxiety scores. At discharge, adjunctive VR-based relaxation training was associated with lower depressive and anxiety symptom scores than usual care alone. The VR group also showed higher response rates for both depressive and anxiety symptoms and a higher anxiety remission rate, whereas depression remission was similar. Exploratory session-frequency analyses suggested that anxiety improvement may be more consistently associated with VR exposure than depression remission; however, the pattern was not strictly linear and should be interpreted cautiously because treatment frequency was linked to hospitalization duration and routine care factors. Conclusions: This study is innovative in evaluating structured VR-based relaxation training as an adjunct to routine inpatient depression care and in providing preliminary observations on session-frequency patterns in a real-world Chinese psychiatric setting. Unlike many previous VR studies conducted in noninpatient, nonclinical, or short-term experimental contexts, this study reflects everyday clinical practice among hospitalized patients with depressive disorders. The findings contribute practical evidence for integrating immersive relaxation into comprehensive inpatient care, particularly when additional anxiety relief is desired. Because the study was retrospective and nonrandomized, the findings indicate associations rather than causal effects and should be confirmed in prospective randomized controlled trials.
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