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Mental Health Awareness Month: a progressive vanity project

Who do awareness campaigns really help? Credit: Getty

Who do awareness campaigns really help? Credit: Getty

5 May 2025 - 1:00pm

May is “Mental Health Awareness Month”. In a crowded contest for the most pointless of all profession-peddled observances, this might be the winner. Mental Health Awareness Month is actually worse than pointless, though. That’s because excessive attention to mental wellness is over-medicalising the healthy and neglecting the seriously mentally ill.

Mental Health Awareness Month was officially proclaimed in 2013 by former president Barack Obama to “shine a light” on “debilitating illnesses”. Obama put “anxiety, depression” and “bipolar disorder” all in that same category, erasing the line between common distress and serious disorder. An ever-inflating “DSM” — the mental health field’s diagnostic tool — has formally done the same. The DSM was originally around 100 pages, listing around 100 diagnoses. Now in its fifth version, it’s ten times longer and clinically classifies everything from jetlag to bad premenstrual syndrome.

Psychiatric disorders can appear on a range of severity, but few — and few cases — are truly debilitating. Serious mental illness most often is, and typically includes schizophrenia (affecting less than 1% of adults) and bipolar disorder (less than 3%).

The seriously mentally ill face many bad outcomes. They live 15-20 years less, on average, and are disproportionately homeless, incarcerated, drug- and alcohol-addicted, uneducated and unemployed. They’re often said to have “fallen through the cracks” as if unnoticed, but social service agencies know exactly who they are. It’s therefore hard to buy the justification for such pervasive awareness efforts: mental disorder goes untreated because it goes unrecognised.

Do people lack awareness of mental disorders? Nearly one in four American adults — and one in three adolescents — received mental health services in 2023. “Mental health” has been searched on TikTok over 67 billion times. It’s fashionable to self-diagnose: the DSM is an Amazon bestseller, while a common green flag for dating is being in therapy.

Given that half of all adults will eventually receive a mental diagnosis, anything still considered to have “gone unrecognised” could only be the most mildly symptomatic, functional cases — or normal human eccentricities yet to be reclassified as psychiatric problems.

Awareness has us thinking that we are sick. Members of Generation Z, who have grown up “aware”, are the most treated and most open to discussing mental health, but the least likely to say their mental health is good. Older generations, who weren’t constantly encouraged to focus on their feelings, are happier on average. Paying less attention to mental health, it seems, reduces overmedicalisation and protects against actually feeling bad.

Treatment doesn’t help those who aren’t sick, so calling everyone with emotions “mentally unwell” only misdirects resources away from the people who are most in need. Take the perpetrator of the 2012 Sandy Hook school shooting, which motivated Obama’s awareness efforts. The “predisposing factor in this tragedy”, a psychiatrist involved in the case said, was that the shooter’s mental illness went untreated. But not because it hadn’t been spotted. His “profound emotional disabilities” were identified six years before he killed 20 children and six adults.

More recently, a seriously mentally ill man went off his medication for schizophrenia and bipolar disorder. His family had been trying to have him hospitalised, without success, when he was arrested for trying to kill Pennsylvania Governor Josh Shapiro last month.

Awareness campaigns downplay the link between violence and mental illness, supposedly to reduce “stigma”. In reality, serious mental illness, when left untreated, increases the risk of violence and selfharm. Distracting from this reality undermines the systemic reform needed to reduce mental illness-related violence — which is what really perpetuates stigma.

If greater distinction were made between schizophrenia and mild depression, it would be easier to demand accountability from the mental health system as to why it so routinely fails to treat those at risk of danger to themselves and others. Instead, Mental Health America, the publicly-funded industry group behind this month’s “celebration”, is offering colouring pages and tips for “eliminating toxic relationships”. Hope that makes you feel better.

A flood of emails and ads have been sent out in recent days to encourage practices like “focusing on you”. Ignore them. What really needs attention is how badly we are failing the seriously mentally ill.


Carolyn D. Gorman is a Fellow at the Manhattan Institute.

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China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

1 July 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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