Column
Toward a Responsible Vision of AI in Mental Health Tools: Interview with Daniela Andrade, Head of Growth at Resolution
With the pace of technological change, prevalence of job loss, and worsening socioeconomic inequality, individuals face more mental health challenges than ever. In conjunction with the AI boom, the market for AI in mental health is large and growing. On a global scale, it was estimated at $1.13 billion in 2023 and is projected to reach $5.08 billion by 2030.
Access to high-quality life advice or therapy matters now more than ever. Many entrepreneurs have spotted an opportunity: creating AI for mental health. Daniela Andrade is one such individual. Daniela graduated from Harvard in 2025 and is Head of Growth at Resolution, a startup that serves primarily young women by providing them with an “AI guardian angel” called Fabio to help them navigate toxic relationships.
How to Sell to a Customer Who Isn't Human
I’ve been in the holiday mood since right after Halloween. If you’re like me, holidays also mean thinking about the possibilities of the future. So, after watching Hocus Pocus and switching to Polar Express, I found myself doom-scrolling through economic forecasts.
The IMF’s latest World Economic Outlook paints a sober picture. Global growth is expected to slow to just 3.1% in 2026, with the outlook described as “dim prospects” amid persistent downside risks. In plain English: the economic pause many of us felt this year isn’t ending anytime soon.
Could AI Master Economic Thinking to Solve Real-World Problems?
To many people, the economy represents a vast mystery of supply chains, tariffs, and uncertainty. To most professionals, making everyday business decisions regarding pricing, budgeting, or forecasting demand for a product appears an intractable problem. The study of economics attempts to put some structure on these moving pieces.
With the rise in economic uncertainty spurred by recent societal developments, such as AI, it’s worth asking whether AI itself can provide expert-level economic decision-making for individuals and organizations to sort through the noise.

