Digital Psychiatry: I am a Poser and I don’t care

By Julie Paik, DO 2027

The song “I am a Poseur” by X-Ray Spex came on and I was re-inspired by the chorus: “I am a poseur and I don’t care.” Born out of Britain’s 1970s counterculture movement, the song challenged what it meant to be a “true” punk. Though not my usual genre, the lyrics felt as punchy and relevant today. It’s satirical and earnest, and made me think about how embracing a label like “poser” requires reclaiming intrinsic value and exposing the cultural gatekeeping behind legitimacy. In our digital age, the tension between performance and authenticity is a battle we all live with. If social acceptance defines all things worthy, is being a poser really so bad?

In psychiatry, AI driven diagnosis and app based interventions feel like their own kind of posers and face similar skepticism. Critics argue these tools don’t resemble traditional psychiatric care—they lack the je ne sais quoi of human nuance, undermine therapeutic relationships and are therefore less effective. But if these models are constantly listening, tracking the smallest changes in moods, and reminding users to reframe maladaptive thoughts in real time, they are already filling a role most providers cannot. If we reframe AI apps as collaborators rather than replacements, they don’t need to replicate us. Maybe, their value lies in what they can do: provide accurate data, support earlier diagnoses, and offer intervention when human services are limited.

Most AI diagnostic models built on support vector machines and forest algorithms remain in research phases, but show promising accuracy in classifying and diagnosing mental health conditions. Free apps like Wysa and Woebot focus on providing evidence-based intervention by analyzing linguistic patterns and mood changes in conversations for early signs of depression, anxiety, and mania. Apps like Ginger and Youper integrate biometric data like sleep, steps and activity, to emphasize mind-body awareness. By combining data over time, these apps offer a less biased baseline for both patients and providers to rely on. App based CBT and meditation tools mirror traditional care, but are reinforced through daily notifications and prompts that help users practice in real time, wherever they are, while keeping support accessible for those in remote areas, with financial barriers, or facing stigma.

I don’t deny the gravity of the risks. Increased accessibility without regulation can endanger patients, especially in acute psychiatric crises. Privacy concerns prevent apps from offering live crisis or suicide intervention and poorly designed apps may encourage venting without teaching coping skills. The list goes on, and ultimately, ensuring safety and effectiveness falls to the collaboration between clinicians, app developers, and policymakers.

The future of digital psychiatry lies in integration, not replacement. Paired with human services, AI can strengthen clinical insight, patient care, and therapeutic alliance in ways even the most diligent clinicians cannot. Even if these tools don’t look like traditional care, their evidence-based impact makes them worth trying. If AI models are the missing tool to help us move mental health care forward, then being a poser may just be what medicine needs.