The Hidden Risks of AI Mental Health Apps No One Talks About
This week on The AI Report, Liam Lawson is joined by journalist Kate Farmer to discuss a growing trend in mental health: the rise of AI therapy apps.Kate recently published an investigative piece on Wysa, Woebot, and other mental health platforms that use AI to simulate therapy conversations. In this episode, she shares what it was like to interact with these tools firsthand, what users are actually experiencing, and why many of these apps are skating a dangerous line between wellness support and clinical treatment.They also explore how these apps bypass regulatory scrutiny, the ethical challenges of relying on AI for emotional support, and how vulnerable users, especially those waiting for real therapists, are often left with few other options.Also in this episode: • Why rule-based AI might be better than LLMs in mental health • How companies use marketing language to dodge legal oversight • The limits of empathy, personalization, and context in AI • What’s actually happening with your health data when you use these tools • Why CBT still matters and how to use these platforms safelyThis is a powerful, clear-eyed look at how AI is entering spaces once reserved for humans and what this means for trust, privacy, and care.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why AI Is Not a Therapist(01:06) Kate’s Background and Reporting Focus(04:35) Revisiting AI Therapy Post-ChatGPT(06:13) How Wysa Actually Works(09:45) Empathy, Context, and Their Limits in AI(11:13) Why Intake Matters in Mental Health(13:39) False Personalization in Therapy Apps(14:47) Real User Reactions to Wysa and Woebot(16:28) When AI Becomes a Stopgap for Care(18:05) The Case for Rule-Based CBT Tools(22:08) AI Safety in Mental Health Tools(27:30) Scale vs Support: The Infrastructure Gap(29:25) Avoiding FDA Regulation with Clever Framing(31:06) “Line Skating” and Legal Grey Zones(34:42) The Health Data Economy Behind These Apps(39:00) How Much Your Mental Health File Might Be Worth(43:04) Accepting Flaws When There’s No Alternative(44:02) CBT’s Real Strengths and Use Cases(45:18) How to Use These Tools Without Risk
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56:39
Replace Yourself With Systems: How AI Helps You Work Less
This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.Also in this episode: • What makes a great voice agent prompt • Why prompting is the core skill for non-technical AI builders • How Matt handles imposter syndrome and subcontracting • A breakdown of the orchestration layers and tools he uses daily • What it takes to serve enterprise clients with AI systemsIf you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why Speed-to-Lead Still Wins Deals(01:13) Matt’s Non-Technical Path to Building With AI(03:45) Early AI Projects and First Use Cases(06:05) Automating Business Docs With ChatGPT(08:14) Leaving the Agency to Go All-In on Future Flow(11:00) Pitching AI Solutions From a Sales Job(13:20) Ghostwriting With GPT and Finding a Real Offer(15:30) How Voice Agents Handle Inbound and Outbound(17:45) The End-to-End Sales Process With AI(20:00) End-of-Call Reporting and CRM Automation(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel(25:00) Leveraging Subcontractors to Scale(28:00) Building With Confidence as a Non-Engineer(30:30) Thinking Bigger: Serving Enterprise Clients(33:00) Advice for Non-Technical AI Builders(36:00) Start With Prompting, Then Automate(39:00) What’s Next for Matt and Future Flow
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42:23
How One Founder Replaced a 20-Person Team With AI Tools
On this episode of The AI Report, Liam Lawson sits down with Avi Hacker, founder of the AI Consulting Network and one of the most prolific solo operators in the AI world.Avi doesn’t know how to code, but that hasn’t stopped him from building a business powered entirely by custom GPTs, Airtable workflows, Make.com automations, and a relentless commitment to experimentation. He’s automated everything from daily newsletters to podcast production and does it all without a technical team.This conversation dives into:How Avi scaled from law school grad to AI consultantWhy he operates like a 20-person team with zero employeesThe real cost of automation and what clients often misunderstandHow he built tools for LinkedIn growth, blog creation, and deep researchThe tech stack behind his daily content engineIf you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.Subscribe to The AI Report:theaireport.aiJoin our community:skool.com/the-ai-report-community/aboutConnect with Avi:linkedin.com/in/avihackerChapters:(00:00) Building Anything Without Knowing How to Code(01:00) From Law School to AI Consultant(03:05) Starting the AI Consulting Network(05:12) What Clients Get Wrong About AI(07:00) Understanding Time ROI in AI Projects(08:14) Live Walkthrough: Automating The AI Report Newsletter(11:00) Building a Custom Workflow with Make and Airtable(13:20) Why He Doesn’t Do One-Time Builds(15:00) The Internal Tools That Power His Growth(17:45) Working Like a 20-Person Team Using AI(19:14) Future Plans and Scaling the Business(21:00) Experimenting With AI Agents(23:00) Training AI-First Operators(25:00) Big Ideas, Small Teams, and the Power of Leverage(30:00) Explaining His Job to Non-Tech Folks(32:00) Where to Find Avi Online
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32:40
Biden vs Trump: How U.S. AI Policy Is Shifting
In this episode of The AI Report, Christine Walker joins Arturo Ferreira to launch a new series on the legal side of artificial intelligence. Christine is a practicing attorney helping businesses understand how to navigate AI risk, compliance, and governance in a rapidly changing policy environment.They explore how the shift from the Biden to the Trump administration is changing the tone on AI regulation, what the EU AI Act means for U.S. companies, and why many of the legal frameworks we need for AI already exist. Christine breaks down how lawyers apply traditional legal principles to today’s AI challenges from intellectual property and employment law to bias and defamation.Also in this episode: • The risk of waiting for regulation to catch up • How companies can conduct internal AI audits • What courts are already doing with AI tools • Why even lawyers are still figuring this out in real time • What businesses should be doing now to reduce liabilityChristine offers a grounded, practical view of what it means to use AI responsibly, even when the law seems unclear.Subscribe to The AI Report:theaireport.aiJoin our community:skool.com/the-ai-report-community/aboutChapters:(00:00) The Legal Risks of AI and Why It’s Still a Black Box(01:13) Christine Walker’s Background in Law and Tech(03:07) Biden vs Trump: Competing AI Governance Philosophies(04:53) What Governance Means and Why It Matters(06:26) Comparing the EU AI Act with the U.S. Legal Vacuum(08:14) Case Law on IP, Bias, and Discrimination(10:50) Why the Fear Around AI May Be Misplaced(13:15) Legal Precedents: What Tech History Teaches Us(16:06) The GOP’s AI Stance and Regulatory Philosophy(18:35) Most AI Use Cases Already Fall Under Existing Law(21:11) Why Precedents Take So Long—and What That Means(23:08) Will AI Accelerate the Legal System?(25:24) AI + Lawyers: A Collaborative Model(27:15) Hallucinations, Case Law, and Legal Responsibility(28:36) Building Policy Now to Avoid Legal Pain Later(30:59) Christine’s Final Advice for Businesses and Builders
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31:40
From 0 to HubSpot: Scaling a Newsletter to 150K Subscribers
Welcome back to The AI Report, where Liam Lawson speaks with the people shaping the future of AI, one breakthrough at a time.This week’s guest is Adam Biddlecombe, co-founder of Mindstream, the daily AI newsletter that was acquired by HubSpot just 17 months after launch. Adam shares how he went from posting on LinkedIn during his lunch breaks to building a globally recognized media brand with over 150,000 engaged readers.In this conversation, Adam breaks down how to grow and monetize a newsletter, what most people get wrong about AI adoption in companies, and why editorial quality still matters more than ever. He also shares the realities of startup life. from managing deliverability nightmares to building a distributed team across Lebanon, Iran, Pakistan, and beyond.We talk through how to drive real AI literacy in teams, how to think about pricing ads for sponsors, and why being early matters less than being consistent.Subscribe to The AI Report and stay sharp on everything happening in AI:theaireport.aiConnect with Adam:linkedin.com/in/adambiddlecombeChapters:(00:00) Why AI Literacy is the New Career Edge(00:43) How Adam Sold Mindstream to HubSpot(03:07) Growing the Newsletter from Scratch(06:17) Building on LinkedIn in 2025(09:25) Talking AI Fear and Workplace Buy-In(12:21) Rolling Out AI Internally at Scale(15:10) Educating Without Overwhelming(19:06) The Mindstream Monetization Model(22:18) Differentiating Through Editorial Voice(27:02) Deliverability, List Hygiene, and Real Engagement(30:47) Hiring Internationally and Building Culture(35:00) Why Young, Global Talent Was the Secret(40:14) The “Doppelgänger” Way to Train New Hires(44:17) The Truth About Deliverability Pain(48:08) The Email That Led to a HubSpot Acquisition(49:19) Adam’s 4-5-Mile Clarity WalkFollow the show and leave a rating if you found this episode valuable. It helps new listeners find the pod.
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