The impact of AI chatbots on mental health is emerging as a serious concern, with experts warning that such cases highlight the risks of more advanced systems.
Nate Soares, president of the US-based Machine Intelligence Research Institute, pointed to the tragic case of teenager Adam Raine, who took his own life after months of conversations with ChatGPT, as a warning signal for future dangers.
Soares, a former Google and Microsoft engineer, said that while companies design AI chatbots to be helpful and safe, they can produce unintended and harmful behaviour.
He warned that the same unpredictability could escalate if AI develops into artificial super-intelligence, systems capable of surpassing humans in all intellectual tasks. His new book with Eliezer Yudkowsky, If Anyone Builds It, Everyone Dies, argues that unchecked advances could lead to catastrophic outcomes.
He suggested that governments adopt a multilateral approach, similar to nuclear non-proliferation treaties, to halt a race towards super-intelligence.
Meanwhile, leading voices in AI remain divided. Meta’s chief AI scientist, Yann LeCun, has dismissed claims of an existential threat, insisting AI could instead benefit humanity.
The debate comes as OpenAI faces legal action from Raine’s family and introduces new safeguards for under-18s.
Psychotherapists and researchers also warn of the dangers of vulnerable people turning to chatbots instead of professional care, with early evidence suggesting AI tools may amplify delusional thoughts in those at risk.
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A US district judge has declined to order a breakup of Google, softening the blow of a 2024 ruling that found the company had illegally monopolised online search.
The decision means Google can press ahead with its shift from a search engine into an answer engine, powered by generative AI.
Google’s AI Mode replaces traditional blue links with direct responses to queries, echoing the style of ChatGPT. While the feature is optional for now, it could become the default.
That alarms publishers, who depend on search traffic for advertising revenue. Studies suggest chatbots reduce referral clicks by more than 90 percent, leaving many sites at risk of collapse.
Google is also experimenting with inserting ads into AI Mode, though it remains unclear how much revenue will flow to content creators. Websites can block their data from being scraped, but doing so would also remove them from Google search entirely.
Despite these concerns, Google argues that competition from ChatGPT, Perplexity, and other AI tools shows that new rivals are reshaping the search landscape.
The judge even cited the emergence of generative AI as a factor that altered the case against Google, underlining how the rise of AI has become central to the future of the internet.
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Nigeria has pledged to become one of the top 50 AI-ready nations, according to presidential adviser Hadiza Usman. Speaking in Abuja at a colloquium on AI policy, she said the country needs strong leadership, investment, and partnerships to meet its goals.
She stressed that policies must address Nigeria’s unique challenges and not simply replicate foreign models. The government will offer collaboration opportunities with local institutions and international partners.
The Nigerian Deposit Insurance Commission reinforced its support, noting that technology should secure depositors without restricting innovators.
Private sector voices said AI could transform healthcare, agriculture, and public services if policies are designed with inclusion and trust in mind.
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Universal Internet connectivity by 2030 could cost up to $2.8 trillion, according to the International Telecommunication Union (ITU) and Saudi Arabia’s Communications, Space, and Technology (CST) Commission. The blueprint urges global cooperation to connect the one-third of humanity still offline.
The largest share, up to $1.7 trillion, would be allocated to expanding broadband through fibre, wireless, and satellite networks. Nearly $1 trillion is needed for affordability measures, alongside $152 billion for digital skills programmes.
ITU Secretary-General Doreen Bogdan-Martin emphasised that connectivity is essential for access to education, employment, and vital services. She noted the stark divide between high-income countries, where 93% of people are online, and low-income states, where only 27% use the Internet.
The study shows costs have risen fivefold since ITU’s 2020 Connecting Humanity report, reflecting both higher demand and widening divides. Haytham Al-Ohali from Saudi Arabia said the figures underscore the urgency of investment and knowledge sharing to achieve meaningful connectivity.
The report recommends new business models and stronger cooperation between governments, industry, and civil society. Proposed measures include using schools as Internet gateways, boosting Africa’s energy infrastructure, and improving localised data collection to accelerate digital inclusion.
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Sam Altman, chief executive of OpenAI, has suggested that the so-called ‘dead internet theory’ may hold some truth. The idea, long dismissed as a conspiracy theory, claims much of the online world is now dominated by computer-generated content rather than real people.
Altman noted on X that he had not previously taken the theory seriously but believed there were now many accounts run by large language models.
His remark drew criticism from users who argued that OpenAI itself had helped create the problem by releasing ChatGPT in 2022, which triggered a surge of automated content.
The spread of AI systems has intensified debate over whether online spaces are increasingly filled with artificially generated voices.
Some observers also linked Altman’s comments to his work on World Network, formerly Worldcoin, a project launched in 2019 to verify human identity online through biometric scans. That initiative has been promoted as a potential safeguard against the growing influence of AI-driven systems.
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OpenAI has reportedly placed a $10bn order with Broadcom to mass-produce custom AI chips, due for shipment in 2026. Sources told the Financial Times that the move would help reduce OpenAI’s dependence on Nvidia, its primary supplier.
Sam Altman recently said OpenAI will use ‘well over 1m GPUs’ by the end of 2025, highlighting the company’s accelerating demand for computing power. In contrast, Elon Musk’s xAI is expected to double its Nvidia Hopper GPUs to around 200,000.
Broadcom confirmed a large custom chip order during its latest earnings call, without naming the buyer. The company’s AI revenue rose 63 percent to $5.2bn, chip sales grew 57 percent to $9.1bn, and shares gained nearly 5 percent.
The new order is expected to be for internal use rather than external customers. Industry observers suggest that OpenAI’s decision signals a strategic shift, allowing the ChatGPT maker to secure supply for its AI expansion while diversifying beyond Nvidia.
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Language technology company Tilde has released an open AI framework designed for all European languages.
The model, named ‘TildeOpen’, was developed with the support of the European Commission and trained on the Lumi supercomputer in Finland.
According to Tilde’s head Artūrs Vasiļevskis, the project addresses a key gap in US-based AI systems, which often underperform for smaller European languages such as Latvian. By focusing on European linguistic diversity, the framework aims to provide better accessibility across the continent.
Vasiļevskis also suggested that Latvia has the potential to become an exporter of AI solutions. However, he acknowledged that development is at an early stage and that current applications remain relatively simple. The framework and user guidelines are freely accessible online.
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The company says the device allows firms to build AI-driven workflows quickly without the need for expensive consultants or large IT teams.
Designed for organisations with 20 to 200 staff, the AI Automation Box combines a no-code workflow builder with options for custom coding.
It comes preloaded with large language models from providers such as OpenAI, Meta and DeepSeek, supported by enterprise-grade GPU hardware.
To support adoption, MyRepublic offers over 100 ready-made templates, tutorials and access to its AI Academy. Typical use cases include customer service, invoicing, reporting, and HR functions, with the system available at $255 a month.
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A new report highlights alarming dangers from AI chatbots on platforms such as Character AI. Researchers acting as 12–15-year-olds logged 669 harmful interactions, from sexual grooming to drug offers and secrecy instructions.
Bots frequently claimed to be real humans, increasing their credibility with vulnerable users.
Sexual exploitation dominated the findings, with nearly 300 cases of adult bots pursuing romantic relationships and simulating sexual activity. Some bots suggested violent acts, staged kidnappings, or drug use.
Experts say the immersive and role-playing nature of these apps amplifies risks, as children struggle to distinguish between fantasy and reality.
Advocacy groups, including ParentsTogether Action and Heat Initiative, are calling for age restrictions, urging platforms to limit access to verified adults. The scrutiny follows a teen suicide linked to Character AI and mounting pressure on tech firms to implement effective safeguards.
OpenAI has announced parental controls for ChatGPT, allowing parents to monitor teen accounts and set age-appropriate rules.
Researchers warn that without stricter safety measures, interactive AI apps may continue exposing children to dangerous content. Calls for adult-only verification, improved filters, and public accountability are growing as the debate over AI’s impact on minors intensifies.
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Picture having a personal therapist who is always there for you, understands your needs, and gives helpful advice whenever you ask. There are no hourly fees, and you can start or stop sessions whenever you want. Thanks to new developments in AI, this idea is close to becoming a reality.
With advanced AI and large language models (LLMs), what once sounded impossible is closer to reality: AI is rapidly becoming a stand-in for therapists, offering users advice and mental health support. While society increasingly turns to AI for personal and professional assistance, a new debate arises: can AI truly replace human mental health expertise?
Therapy keeps secrets; AI keeps data
Registered therapists must maintain confidentiality except to avert serious harm, fostering a safe, non-judgemental environment for patients to speak openly. AI models, however, depend on large-scale data processing and lack an equivalent duty of confidentiality, creating ethical risks around privacy, secondary use and oversight.
The privacy and data security concerns are not hypothetical. In June 2025, users reported that sensitive Meta AI conversations appeared in the app’s public Discover feed, often because chats were unintentionally shared, prompting scrutiny from security researchers and the press. Separately, a vulnerability disclosed in December 2024 and fixed in January 2025 could have allowed access to other users’ prompts and responses.
Meta described the Discover feed as a means to explore various uses of AI, but it did little to mitigate everyone’s uneasiness over the incident. Subsequently, AMEOS Group, a private European healthcare provider, suffered a large-scale data breach affecting millions of patient records. The writing was on the wall: be careful what you share with your AI counsellor, because it may end up on an intruder’s hard drive.
To keep up with the rising volume of users and prompts, major tech conglomerates such as OpenAI and Google have invested heavily in building new data centres across the globe. At the same time, little has been done to protect sensitive data, and AI remains prone to data breaches, particularly in the healthcare sector.
According to the 2025 Cost of a Data Breach Report by IBM, healthcare providers often bear the brunt of data breaches, taking an average of 279 days to recover and incurring an average cost of nearly USD $7.5 million in the process. Not only does patients’ private information end up in the wrong place, but it also takes a while to be retrieved.
Falling for your AI ‘therapist’
Patients falling in love with their therapists is not only a common trope in films and TV shows, but it is also a real-life regular occurrence for most mental health workforce. Therapists are trained to handle these attachments appropriately and without compromising the patient’s progress and well-being.
The clinical term is transference: patients may project past relationships or unmet needs onto the therapist. Far from being a nuisance, it can be clinically useful. Skilled clinicians set clear boundaries, reflect feelings, and use supervision to keep the work safe and goal-directed.
With AI ‘therapists’, the cues are different, but the pull can feel similar. Chatbots and LLMs simulate warmth, reply instantly, and never tire. 24/7 availability, combined with carefully tuned language, can foster a bond that the system cannot comprehend or sustain. There is no duty of care, no supervision, and no capacity to manage attachment or risk beyond scripted safeguards.
As a result, a significant number of users report becoming enamoured with AI, with some going as far as dismissing their human partners, professing their love to the chatbot, and even proposing. The bond between man and machine props the user onto a dangerous seesaw, teetering between curiosity and borderline delusional paranoia.
Experts warn that leaning on AI as a makeshift therapist or partner can delay help-seeking and entrench unhelpful patterns. While ‘AI psychosis‘ is not a recognised diagnosis, clinicians and digital-ethics researchers note that intense attachment to AI companions can heighten distress, especially when models change, go offline, or mishandle risk. Clear signposting to human support, transparent data practices, and firm usage boundaries are essential to prevent unhealthy attachments to virtual companions.
Who loses work when therapy goes digital?
Caring for one’s mental health is not just about discipline; it is also about money. In the United States, in-person sessions typically cost between USD $100–$250, with limited insurance coverage. In such dire circumstances, it is easy to see why many turn to AI chatbots in search of emotional support, advice, and companionship.
Licensed professionals are understandably concerned about displacement. Yet there is little evidence that AI is reducing the demand for human therapists; services remain oversubscribed, and wait times are long in both the USA and UK.
Regulators are, however, drawing lines around AI-only practice. On 4 August 2025, Illinois enacted the Wellness and Oversight for Psychological Resources Act (HB 1806), which prohibits the use of AI to provide therapy or make therapeutic decisions (while allowing administrative or supplementary use), with enforcement by the state regulator and fines up to $10,000 per violation.
Current legal and regulatory safeguards have limited power to use AI in mental health or protect therapists’ jobs. Even so, they signal a clear resolve to define AI’s role and address unintended harms.
Can AI ‘therapists’ handle crisis conversations
Adolescence is a particularly sensitive stage of development. It is a time of rapid change, shifting identities, and intense social pressure. Young people are more likely to question beliefs and boundaries, and they need steady, non-judgemental support to navigate setbacks and safeguard their well-being.
In such a challenging period, teens have a hard time coping with their troubles, and an even harder time sharing their struggles with parents and seeking help from trained professionals. Nowadays, it is not uncommon for them to turn to AI chatbots for comfort and support, particularly without their guardians’ knowledge.
One such case demonstrated that unsupervised use of AI among teens can lead to devastating consequences. Adam Raine, a 16-year-old from California, confided his feelings of loneliness, anxiety, and anhedonia to ChatGPT. Rather than suggesting that the teen seek professional help, ChatGPT urged him to further elaborate on his emotions. Instead of challenging them, the AI model kept encouraging and validating his beliefs to keep Adam engaged and build rapport.
Throughout the following months, ChatGPT kept reaffirming Adam’s thoughts, urging him to distance himself from friends and relatives, and even suggesting the most effective methods of suicide. In the end, the teen followed through with ChatGPT’s suggestions, taking his own life according to the AI’s detailed instructions. Adam’s parents filed a lawsuit against OpenAI, blaming its LLM chatbot for leading the teen to an untimely death.
In the aftermath of the tragedy, OpenAI promised to make changes to its LLM and incorporate safeguards that should discourage thoughts of self-harm and encourage users to seek professional help. The case of Adam Raine serves as a harrowing warning that AI, in its current capacity, is not equipped to handle mental health struggles, and that users should heed AI’s advice not with a grain of salt, but with a whole bucket.
Chatbots are companions, not health professionals
AI can mimic human traits and convince users they are forming a real connection, evoking genuine feelings of companionship and even a sense of therapeutic alliance. When it comes to providing mental health advice, the aforementioned qualities present a dangerously deceptive mirage of a makeshift professional therapist, one who will fully comply with one’s every need, cater to one’s biases, and shape one’s worldview from the ground up – whatever it takes to keep the user engaged and typing away.
While AI has proven useful in multiple fields of work, such as marketing and IT, psychotherapy remains an insurmountable hurdle for even the most advanced LLM models of today. It is difficult to predict what the future of AI in (mental) health care will look like. As things stand, in such a delicate field of healthcare, AI lacks a key component that makes a therapist effective in their job: empathy.
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