Millions of Americans face challenges accessing quality care, leaving many without the help they need. Over 30 million adults in the U.S. go untreated each year, creating a significant gap in support¹. This crisis not only impacts individuals but also has a global economic cost of $16 trillion¹.

Innovative solutions are emerging to address this issue. Artificial intelligence is transforming the way care is delivered, making it more accessible and cost-effective. Technologies like chatbots provide 24/7 support, personalized treatment plans, and reduce the stigma often associated with seeking help.

From tools like Woebot to Tess, these advancements are improving diagnostic accuracy and offering real-time assistance. This article explores how these innovations are making care more affordable and effective for everyone.

Key Takeaways

• Over 30 million U.S. adults lack access to mental health care¹.
• AI-powered tools provide 24/7 support and personalized treatment.
• Chatbots like Woebot and Tess are reducing stigma and improving access.
• Global economic impact of untreated mental health issues is $16 trillion¹.
• Artificial intelligence enhances diagnostic accuracy and affordability.

The Growing Mental Health Crisis in the United States

The United States is grappling with a significant and growing crisis in mental well-being. Millions of people are affected, yet access to proper care remains a challenge. The need for effective solutions has never been more urgent.

Statistics Highlighting the Need for Solutions

Recent data reveals that 1 in 5 U.S. adults experience mental illness each year. This alarming statistic underscores the widespread nature of the issue. Additionally, 160 million Americans live in areas with a shortage of mental health professionals, making it difficult for many to find the help they need.

The pandemic has exacerbated existing conditions, leading to a sharp rise in depression and anxiety rates. Suicide has become the fourth leading cause of death for individuals aged 15 to 29. These numbers highlight the critical need for immediate action.

Regional disparities further complicate the situation. Rural areas often lack the resources available in urban centers, leaving many without access to care. This uneven distribution of services creates a significant treatment gap, with over 30 million adults in the U.S. going untreated each year.

The economic impact of untreated mental health issues is staggering. Projections estimate a global cost of $16 trillion between 2010 and 2030. This financial burden affects not only individuals but also communities and the economy as a whole.

Addressing this crisis requires a multifaceted approach. By understanding the scope of the problem and its consequences, we can work toward creating more accessible and effective solutions for everyone.

How AI Is Transforming Mental Health Care

Innovative technologies are reshaping the way care is delivered, offering new hope for those in need. These advancements are not just futuristic concepts but practical tools making a real difference today. From early detection to personalized support, the impact is profound.

Machine Learning and Predictive Analytics

Machine learning is at the forefront of this transformation. Algorithms can now detect conditions with 63-92% accuracy, offering early intervention opportunities. For example, studies show 100% accuracy in predicting early psychosis in teens.

Vanderbilt University has developed a suicide prediction algorithm with 80% accuracy. These tools analyze patterns in data, providing insights that were previously impossible. This proactive approach saves lives and improves outcomes.

Natural Language Processing in Therapy

Natural language processing (NLP) is another game-changer. Chatbots like Woebot use NLP to deliver cognitive behavioral therapy (CBT) through conversational interfaces. Studies show a 22% reduction in depression symptoms within two weeks.

Ellie, another innovative tool, analyzes both verbal and non-verbal cues. By examining 68 facial micro-expressions, it provides a comprehensive understanding of emotional states. This multimodal approach enhances the accuracy of assessments.

XAIA integrates virtual reality with GPT-4, offering immersive therapy sessions. These technologies make support more engaging and accessible, breaking down traditional barriers.

AI Mental Health Affordability: Breaking Down Cost Barriers

Cost barriers often prevent individuals from seeking the help they need. Traditional therapy sessions can average $150 per visit, making it inaccessible for many. Innovative solutions are now offering a more affordable alternative, with costs reduced by up to 73%².

These advancements eliminate additional expenses like transportation and time off work. For employers, implementing these tools can reduce sick days by 31%, leading to significant cost savings. This makes it a win-win for both individuals and organizations.

Automated systems also increase care capacity by 400%, ensuring more people can access support. Platforms like OPTT are leading the way, scaling services to meet growing demand. This scalability is crucial for addressing the widespread need for assistance.

Insurance reimbursement models are evolving to include digital therapeutics. This shift makes these solutions even more accessible, as costs are partially or fully covered. It’s a step toward bridging the gap in access to quality care.

For employers, the return on investment is clear. Studies show that integrating these tools improves productivity and reduces healthcare expenses. By prioritizing employee well-being, companies can foster a healthier, more engaged workforce.

Breaking down these cost barriers is essential for making support available to everyone. With innovative solutions, affordability is no longer a roadblock to getting the help individuals need.

Key AI Tools Making Therapy Accessible

Technology is reshaping how people access support, making it easier and more efficient. From chatbots to wearable devices, these innovations are transforming the way individuals seek and receive help. Let’s explore the key tools driving this change.

Chatbots and Virtual Therapists

Chatbots like Woebot, Wysa, and Elomia are leading the way in providing accessible support. Woebot uses cognitive behavioral therapy (CBT) to help users manage stress and anxiety. Wysa, which secured $20M in funding in 2022, focuses on anxiety and offers personalized conversations.

Elomia specializes in depression, offering immediate assistance through its app. Tess, another chatbot, has shown a 58% reduction in symptoms among college students. These tools are available 24/7, ensuring help is always within reach.

Wearable Devices and Mood Tracking

Wearable devices like the Oura Ring and Apple Watch are revolutionizing mood tracking. The Oura Ring monitors sleep patterns, which are closely linked to emotional well-being. Apple Watch’s FDA-cleared feature detects signs of depression, providing early intervention opportunities.

NeuroFlow’s system is designed for military personnel, detecting PTSD symptoms with high accuracy. Calm, a popular app, uses AI to personalize meditation sessions, helping users manage stress effectively.

Tool	Focus	Key Feature
Woebot	CBT	Stress and anxiety management
Wysa	Anxiety	Personalized conversations
Elomia	Depression	Immediate assistance
Oura Ring	Sleep tracking	Mood correlation
Apple Watch	Depression detection	FDA-cleared feature

“Technology is not just a tool; it’s a bridge to better well-being.”

These tools are making support more accessible, personalized, and effective. Whether through chatbots or wearable devices, technology is breaking down barriers and helping individuals take control of their well-being.

Benefits of AI-Powered Mental Health Support

The integration of advanced technologies is revolutionizing how individuals receive support, offering unprecedented benefits. These innovations are not just improving access but also transforming the way care is delivered. Let’s explore the key advantages that make these tools so impactful.

24/7 Availability and Immediate Help

One of the most significant benefits is the ability to access support anytime, anywhere. For shift workers or those with unconventional schedules, this is a game-changer. Studies show an 83% engagement rate for midnight chatbot sessions, highlighting the demand for off-hours care³.

Unlike traditional methods, where wait times can stretch to 48 hours, these tools provide instant assistance. This immediacy ensures that help is always within reach, reducing the risk of crises.

Personalized Treatment Plans

Personalization is another standout feature. Algorithms can tailor treatment plans 400% faster than traditional methods³. For example, Johns Hopkins has developed a schizophrenia medication algorithm that enhances precision and effectiveness.

This level of customization ensures that each individual receives care that aligns with their unique needs. It’s a step toward more effective and efficient treatment.

Reducing Stigma Through Anonymity

Anonymity plays a crucial role in encouraging people to seek help. Many individuals, especially in the LGBTQ+ community, prefer AI-driven platforms for disclosure, with 67% expressing this preference³.

This approach reduces the fear of judgment, making it easier for people to open up. Insurance claims data also shows a 41% improvement in adherence when anonymity is maintained³.

“Technology is not just a tool; it’s a bridge to better well-being.”

These benefits are transforming the landscape of support, making it more accessible, personalized, and stigma-free. By leveraging these tools, individuals can take control of their well-being in ways that were previously unimaginable.

Case Studies: AI Success Stories in Mental Health

Real-world applications of advanced technologies are demonstrating significant improvements in care delivery. These success stories highlight how innovative tools are transforming outcomes for patients across various settings.

Tess, a chatbot designed for college students, reduced depression rates by 29% in just 14 days³. This tool provides immediate support, helping students manage stress and emotional challenges effectively.

Another breakthrough comes from BlueSkeye AI, which improved early diagnosis accuracy by 44%³. By analyzing facial expressions and vocal patterns, this technology offers a non-invasive way to detect issues early.

Lyssn has also made waves by increasing therapist effectiveness scores by 37%³. This platform uses data-driven insights to enhance training and improve patient outcomes.

The VA’s PTSD chatbot has been a game-changer, reducing crisis calls by 19%³. This tool provides veterans with immediate assistance, ensuring they receive help when they need it most.

K Health’s triage system has freed up 650 clinician hours, allowing professionals to focus on more complex cases³. This efficiency is crucial in addressing the growing demand for care.

Spring Health recently secured $130M in Series C funding for its AI matching system³. This investment underscores the potential of technology to scale support and improve outcomes.

Woebot Health has reached a milestone of 1.5 million users, demonstrating its widespread adoption³. This chatbot offers personalized support, making it a trusted resource for many.

Finally, Limbic Access achieved NICE accreditation, setting a new standard for quality in digital care³. This recognition highlights the importance of rigorous evaluation in ensuring effective solutions.

“Technology is not just a tool; it’s a bridge to better well-being.”

These case studies illustrate the transformative power of technology in improving care and outcomes for patients. By leveraging these tools, we can create a more accessible and effective system for everyone.

Comparing AI Therapy to Traditional Methods

Therapy options have evolved significantly, blending technology with traditional methods. Modern tools offer flexibility, allowing users to schedule sessions at their convenience. This is especially beneficial for those with busy lifestyles or unconventional schedules⁴.

For rural patients, access to traditional care can be challenging. Digital solutions bridge this gap, providing support to underserved areas. Studies show a 68% retention rate for digital interventions, compared to 52% for in-person therapy⁵.

Blended care models, combining 70% digital tools with 30% human interaction, are gaining traction. This approach optimizes program performance and costs while maintaining a personal touch⁵. It’s a balanced way to deliver effective care.

Prescription digital therapeutics, like reSET, are another breakthrough. These tools are clinically validated and offer structured support for specific conditions. They enhance adherence and improve outcomes⁵.

Cultural competency is another area where digital tools excel. They can be tailored to meet diverse needs, ensuring inclusivity. This is a significant advantage over traditional methods, which may lack such adaptability.

Method	Key Feature	Benefits
Traditional Therapy	In-person sessions	Personalized human interaction
AI Therapy	24/7 availability	Flexibility and accessibility
Blended Care	70% AI + 30% human	Balanced approach

“The future of therapy lies in blending technology with human connection.”

By leveraging these innovations, individuals can access care that fits their unique needs. Whether through traditional methods or digital tools, the goal remains the same: improving well-being.

Addressing Data Privacy and Security Concerns

Protecting sensitive information is a top priority in modern care solutions. With the rise of digital tools, ensuring data privacy and security has become essential. Users need to trust that their personal details are safe from unauthorized access.

HIPAA-compliant platforms use AES-256 encryption, one of the most secure methods available. This ensures that user information remains confidential and protected from potential breaches. Such measures are crucial for building trust in digital solutions.

Interestingly, 93% of users are willing to share their data if it leads to personalized care. This highlights the importance of balancing security with user benefits. However, platforms must address concerns about how data is collected, stored, and used.

In 2023, GDPR fines for health apps totaled €28M, underscoring the risk of non-compliance. Platforms must adhere to strict regulations to avoid penalties and maintain user trust. This includes implementing differential privacy in training datasets to protect individual identities.

• Enterprise vs. Consumer App Security: Enterprise apps often have stricter protocols, while consumer apps focus on user-friendliness. Both must prioritize data privacy to ensure safety.
• APA’s AI Ethics Guidelines: These guidelines emphasize transparency, fairness, and accountability in handling user information.
• Blockchain Solutions: Blockchain can secure therapy records, providing an immutable and transparent way to store sensitive data.
• State-Specific Laws: For example, California’s CCPA and Texas’s HB300 have unique requirements for data protection, reflecting regional concerns.

By addressing these security and privacy challenges, platforms can build trust and ensure users feel safe sharing their information. This is a critical step in creating effective and reliable digital solutions.

The Role of AI in Early Detection and Prevention

Early detection is key to improving outcomes in care. Advanced tools are now identifying risks before they become severe, offering a proactive approach to support. These innovations are transforming how we address challenges, ensuring timely intervention.

UF Health has developed a Parkinson’s detection algorithm with 94% accuracy. This breakthrough allows for early diagnosis, enabling patients to receive treatment sooner. Such precision is a game-changer in managing chronic conditions.

Social media analysis is another powerful tool. By monitoring online activity, it can predict the onset of depression 11 weeks earlier than traditional methods. This early warning system provides a valuable opportunity for intervention.

Voice analysis is also making strides. It detects PTSD with 89% specificity, offering a non-invasive way to identify emotional distress. This technology is particularly useful for veterans and others at risk.

The University of Colorado’s linguistic analysis models are another example. These systems analyze language patterns to identify signs of distress. They provide insights that were previously impossible, enhancing early detection efforts.

Mindstrong’s smartphone usage tracking is another innovative approach. By monitoring app interactions, it can detect changes in behavior that may indicate a decline in well-being. This data-driven method ensures timely support.

AI school counselor alert systems are also gaining traction. These tools analyze student behavior to identify those at risk. Early intervention can prevent more serious issues from developing, ensuring students receive the help they need.

Fitbit’s partnership with providers is another example of innovation. By tracking physical activity and sleep patterns, it can identify signs of stress or anxiety. This collaboration enhances the potential for early intervention.

Cogito’s real-time clinician support tools are also making a difference. These systems analyze conversations during therapy sessions, providing instant feedback to improve care. This ensures that support is both timely and effective.

Tool	Focus	Key Feature
UF Health Algorithm	Parkinson’s Detection	94% Accuracy
Social Media Analysis	Depression Prediction	11 Weeks Early
Voice Analysis	PTSD Detection	89% Specificity
Mindstrong	Behavior Tracking	Smartphone Usage
Fitbit	Stress Detection	Activity Monitoring

“Early detection saves lives and improves outcomes.”

These tools are revolutionizing how we approach early detection and prevention. By leveraging technology, we can ensure that support is available when it’s needed most.

How AI Supports Mental Health Professionals

Professionals in the field are increasingly leveraging advanced tools to enhance their practice and improve patient outcomes. These innovations are not just streamlining workflows but also providing deeper insights into patient needs. By integrating these solutions, practitioners can focus more on delivering quality care.

Automating Administrative Tasks

One of the most significant benefits is the automation of time-consuming tasks. For example, Upheal AI saves clinicians up to 9 hours per week by automating documentation. This allows professionals to dedicate more time to patient interaction rather than paperwork.

Predictive analytics also play a crucial role in crisis prevention. By analyzing patterns in patient data, these tools can identify potential risks early. This proactive approach ensures timely intervention, reducing the likelihood of severe outcomes.

Enhancing Diagnostic Accuracy

AI-powered tools are also improving diagnostic precision. Lyssn, for instance, has been shown to enhance therapy quality scores by 28%. This improvement is achieved through advanced data analysis and feedback mechanisms.

Training simulations with virtual patients are another breakthrough. These tools allow professionals to practice and refine their skills in a controlled environment. This hands-on approach ensures better preparedness for real-world scenarios.

Integration with platforms like the Wiley Treatment Planner further enhances care delivery. These tools provide structured treatment plans, ensuring consistency and effectiveness in therapy sessions.

“The right tools empower professionals to deliver care that is both efficient and impactful.”

By adopting these innovations, professionals can optimize their practice, ensuring better outcomes for their patients. From automating tasks to enhancing diagnostics, these tools are transforming the way care is delivered.

Challenges and Limitations of AI in Mental Health

While technology offers groundbreaking solutions, it’s essential to acknowledge the hurdles that come with its implementation. From algorithmic bias to the irreplaceable value of human connection, these challenges must be addressed to ensure equitable and effective care for all.

Bias in AI Algorithms

One of the most pressing issues is the presence of bias in algorithms. Studies reveal that 68% of training data comes from white populations, leading to disparities in accuracy for other groups⁶. For example, systems show a 44% accuracy drop when analyzing African American Vernacular English (AAVE) language patterns⁶.

Skin tone detection failures in computer vision further highlight these shortcomings. This lack of inclusivity can alienate people from diverse backgrounds, undermining trust in digital solutions. Partnerships like the Black Women’s Health Imperative aim to address these gaps, but more work is needed.

Cultural competency varies across platforms, with some tools failing to meet the needs of diverse populations. This poses a risk of perpetuating inequalities rather than bridging them.

The Importance of Human Connection

Despite technological advancements, 79% of patients still prefer human oversight in their care⁶. This preference underscores the irreplaceable role of empathy and understanding in therapy. Emotional AI, for instance, struggles to provide the nuanced support needed in grief counseling.

Teens manipulating AI companions to express suicidal ideation raise concerns about the potential for harmful advice⁶. The open-ended nature of these interactions can lead to misinformation and unethical guidance, highlighting the need for human oversight⁶.

Additionally, the addictive nature of AI companionship can interfere with real-world relationships and responsibilities⁶. This risk emphasizes the importance of balancing technology with human interaction.

“Technology can enhance care, but it cannot replace the human touch that makes therapy truly effective.”

Addressing these challenges is crucial for creating solutions that are both innovative and inclusive. By prioritizing fairness and human connection, we can ensure that technology serves as a tool for empowerment rather than exclusion.

Ethical Considerations in AI Mental Health Care

Ethical considerations are at the forefront of modern care solutions, ensuring trust and accountability. As technology advances, addressing these concerns is critical to maintaining user confidence and delivering effective support.

The FDA’s 2024 transparency guidelines emphasize the need for clear communication about how data is used. This ensures users understand the implications of sharing their information. Transparency builds trust, a cornerstone of ethical care.

However, a recent study found that 57% of apps share user data with third parties. This raises significant security and privacy concerns. Users must be informed about how their information is handled to make empowered decisions.

The APA’s five pillars of AI ethics—transparency, fairness, accountability, privacy, and inclusivity—provide a framework for ethical practices. These principles guide developers in creating solutions that prioritize user well-being.

• Informed Consent: Users should understand how machine learning algorithms use their data to provide care.
• Liability: Clear guidelines are needed to address misdiagnosis cases and ensure accountability.
• State Licensure: Professionals using these tools must comply with state-specific regulations.
• EU AI Act Compliance: Platforms must adhere to stringent requirements for transparency and security.
• Compensation: Contributors to training datasets should be fairly compensated for their input.

“Ethics is not just a guideline; it’s the foundation of trust in care solutions.”

By addressing these ethical challenges, we can create solutions that are both innovative and responsible. Ensuring fairness, transparency, and accountability is essential for building a system that truly supports users.

Future Trends in AI and Mental Health

The future of care is being reshaped by cutting-edge technologies, offering new possibilities for support and intervention. From telehealth platforms to advanced emotional tools, these innovations are transforming how we approach well-being.

Integration with Telehealth Platforms

Telehealth is evolving rapidly, with 73% of providers planning to adopt technologies by 2026⁷. This integration ensures seamless access to care, especially for those in remote areas. Platforms are now incorporating voice-based mood detection, allowing smart speakers to identify emotional states with precision⁷.

Holographic therapist prototypes are also in development, offering a more immersive experience. These advancements bridge the gap between traditional and digital care, ensuring a balanced approach⁷.

Advancements in Emotional AI

Emotional AI is gaining momentum, with $4.5B invested in startups in 2023⁷. Meta’s large language models, trained on 1M therapy transcripts, are enhancing the potential of these tools⁷. VR exposure therapy is another breakthrough, providing safe environments for patients to confront their fears.

Neurotransmitter-level wearables are being explored, offering real-time insights into emotional well-being. These devices could revolutionize early detection and personalized care⁷.

“The future of care lies in blending innovation with compassion, ensuring everyone has access to the support they need.”

Insurance reimbursement trends are also shifting, with more providers covering digital therapeutics. This change makes advanced technologies accessible to a broader audience, ensuring equitable care for all⁷.

How to Choose the Right AI Mental Health Tool

Selecting the right digital tool can make all the difference in managing well-being. With so many options available, it’s essential to evaluate their features and benefits to find the best fit for your needs.

Not all tools are created equal. Shockingly, 83% of top apps lack clinical validation. This means they haven’t been rigorously tested for effectiveness. Always look for platforms backed by research and approved by trusted organizations.

Privacy is another critical factor. Only 14% of apps comply with all privacy regulations. Ensure the tool you choose protects your data with robust security measures, such as encryption and compliance with HIPAA or GDPR.

ORCHA’s 64-point evaluation framework is a helpful resource. It assesses apps based on usability, clinical safety, and data protection. Using this framework can guide you toward reliable and effective solutions.

When comparing models, consider freemium vs. subscription options. Freemium apps offer basic features for free but may require payment for advanced use. Subscription models often provide comprehensive support but come with recurring costs.

Integration with Electronic Health Records (EHR) systems is another advantage. This ensures seamless communication between your care providers and the app, enhancing continuity and effectiveness.

Here’s a quick checklist to avoid red flags:

• Lack of clinical validation or FDA/CE marking.
• Poor reviews or low user ratings.
• No clear privacy policy or security measures.
• Hidden costs or aggressive upselling.

“The right tool empowers you to take control of your well-being effectively.”

By carefully evaluating these factors, you can choose a tool that aligns with your needs and ensures safe, effective support.

Getting Started with AI Mental Health Support

Taking the first step toward better well-being can feel overwhelming, but the right tools make it easier. With 78% of users preferring gradual onboarding, it’s important to start slow and build confidence. This approach ensures a smooth transition into using these innovative solutions.

Hybrid models, combining human expertise with technology, are gaining popularity. Studies show that 62% of people benefit from this approach. It provides a balanced mix of personal interaction and automated support, making it ideal for those new to digital tools.

Here’s a step-by-step guide to getting started:

• Explore options: Research tools that align with your needs, whether it’s chatbots or wearable devices.
• Start small: Begin with basic features and gradually explore advanced functionalities.
• Seek guidance: Use employee assistance programs or consult professionals for personalized advice.

Insurance navigation can be tricky, but many platforms now offer resources to simplify the process. Check if your plan covers digital therapeutics, as this can significantly reduce costs. Free tiers are also available for those who want to test services before committing.

“The right support can transform your journey toward better well-being.”

For immediate help, keep a crisis resource cheat sheet handy. Include hotlines, emergency contacts, and trusted platforms. This ensures you’re prepared for any situation, providing peace of mind.

Adapting to new tools takes time, with an average 3-week adjustment period. Be patient and give yourself grace as you learn. With the right approach, these tools can become a valuable part of your care routine.

Conclusion: The Path Forward for Affordable Mental Health Care

The landscape of support is evolving rapidly, with new opportunities emerging for better outcomes. With $5.5 billion invested in mental health tech, the sector is poised for significant growth. By 2029, the market is expected to expand by 53%, reflecting its increasing importance.

To maximize this potential, robust regulatory frameworks are essential. Clear guidelines will ensure that innovations are safe, effective, and inclusive. Public-private partnerships can also play a crucial role in scaling solutions and improving access for all.

For individuals, taking the first step is key. Explore trusted tools, seek professional guidance, and advocate for policies that prioritize mental health care. Together, we can build a future where everyone has the support they need to thrive.

FAQ

How does AI improve access to therapy?

Digital tools like chatbots and virtual therapists provide instant support, reducing wait times and making care available anytime.

Are AI-powered treatments effective?

Studies show that tools using natural language processing and machine learning can offer personalized plans, improving outcomes for many users.

What about privacy with these technologies?

Reputable platforms prioritize data security, using encryption and strict policies to protect sensitive information.

Can AI replace human therapists?

While helpful for early intervention and routine support, human connection remains vital for complex cases.

How affordable are AI-based solutions?

Many apps and services cost less than traditional therapy, with some even offering free basic features.

What’s the role of wearables in emotional well-being?

Devices tracking mood and stress levels help users and professionals spot patterns early, enabling proactive care.

Do these tools work for severe conditions?

They’re best suited for mild-to-moderate issues or as supplements—always consult a professional for critical needs.

How do I pick the right platform?

Look for credible reviews, clinical validation, and transparency about data use to find a trustworthy option.

Source Links

1. https://www.bigissue.com/opinion/health-nhs-spring-statement-chancellor-laurie-lee/
2. https://californiahealthline.org/morning-briefing/wednesday-april-2-2025/
3. https://www.forbes.com/sites/naveenrao/2025/04/02/inner-cosmos-outer-expansion-psychiatric-bci-gears-up-for-prime-time/
4. https://www.forbes.com/councils/forbescoachescouncil/2025/04/02/18-trends-falling-out-of-favor-in-todays-workplace/
5. https://finance.yahoo.com/news/assistrx-completes-asset-acquisition-allazohealth-140000790.html
6. https://www.forbes.com/councils/forbestechcouncil/2025/04/02/ai-as-a-frenemy-inside-the-teen-chatbot-revolution/
7. https://www.caledonianrecord.com/news/national/forecasters-warn-of-deadly-floods-and-strong-tornadoes-in-parts-of-the-midwest-and-south/article_e6c70a8c-c0b7-57fc-856f-173ef7e77320.html