YouTube is introducing a new shelf of mental health and wellbeing content designed specifically for teenagers. The feature will provide age-appropriate, evidence-based videos covering topics such as depression, anxiety, ADHD, and eating disorders.
Content is created in collaboration with trusted organisations and creators, including Black Dog Institute, ReachOut Australia, and Dr Syl, to ensure it is both reliable and engaging.
The initiative will initially launch in Australia, with plans to expand to the US, the UK, and Canada. Videos are tailored to teens’ developmental stage, offering practical advice, coping strategies, and medically-informed guidance.
By providing credible information on a familiar platform, YouTube hopes to improve mental health literacy and reduce stigma among young users.
YouTube has implemented teen-specific safeguards for recommendations, content visibility, and advertising eligibility, making it easier for adolescents to explore their interests safely.
The company emphasises that the platform is committed to helping teens access trustworthy resources, while supporting their wellbeing in a digital environment increasingly filled with misinformation.
Would you like to learn more aboutAI, tech and digital diplomacy? If so, ask our Diplo chatbot!
The rapid rise of AI has drawn a wave of ambitious investors eager to tap into what many consider the next major economic engine. Capital has flowed into AI companies at an unprecedented pace, fuelled by expectations of substantial future returns.
Yet despite these bloated investments, none of the leading players have managed to break even, let alone deliver a net-positive financial year. Even so, funding shows no signs of slowing, driven by the belief that profitability is only a matter of time. Is this optimism justified, or is the AI boom, for now, little more than smoke and mirrors?
Where the AI money flows
Understanding the question of AI profitability starts with following the money. Capital flows through the ecosystem from top to bottom, beginning with investors and culminating in massive infrastructure spending. Tracing this flow makes it easier to see where profits might eventually emerge.
The United States is the clearest focal point. The country has become the main hub for AI investment, where the technology is presented as the next major economic catalyst and treated by many investors as a potential cash cow.
The US market fuels AI through a mix of venture capital, strategic funding from Big Tech, and public investment. By late August 2025, at least 33 US AI startups had each raised 100 million dollars or more, showing the depth of available capital and investor appetite.
OpenAI stands apart from the rest of the field. Multiple reports point to a primary round of roughly USD 40 billion at a USD 300 billion post-money valuation, followed by secondary transactions that pushed the implied valuation even higher. No other AI company has matched this scale.
Much of the capital is not aimed at quick profits. Large sums support research, model development, and heavy infrastructure spending on chips, data centres, and power. Plans to deploy up to 6 gigawatts of AMD accelerators in 2026 show how funding moves into capacity rather than near-term earnings.
Strategic partners and financiers supply some of the largest investments. Microsoft has a multiyear, multibillion-dollar deal with OpenAI. Amazon has invested USD 4 billion in Anthropic, Google has pledged up to USD 2 billion, and infrastructure players like Oracle and CoreWeave are backed by major Wall Street banks.
AI makes money – it’s just not enough (yet)
Winning over deep-pocketed investors has become essential for both scrappy startups and established AI giants. Tech leaders have poured money into ambitious AI ventures for many reasons, from strategic bets to genuine belief in the technology’s potential to reshape industries.
No matter their motives, investors eventually expect a return. Few are counting on quick profits, but sooner or later, they want to see results, and the pressure to deliver is mounting. Hype alone cannot sustain a company forever.
To survive, AI companies need more than large fundraising rounds. Real users and reliable revenue streams are what keep a business afloat once investor patience runs thin. Building a loyal customer base separates long-term players from temporary hype machines.
OpenAI provides the clearest example of a company that has scaled. In the first half of 2025, it generated around 4.3 billion dollars in revenue, and by October, its CEO reported that roughly 800 million people were using ChatGPT weekly. The scale of its user base sets it apart from most other AI firms, but the company’s massive infrastructure and development costs keep it far from breaking even.
Microsoft has also benefited from the surge in AI adoption. Azure grew 39 percent year-over-year in Q4 FY2025, reaching 29.9 billion dollars. AI services drive a significant share of this growth, but data-centre expansion and heavy infrastructure costs continue to weigh on margins.
NVIDIA remains the biggest financial winner. Its chips power much of today’s AI infrastructure, and demand has pushed data-centre revenue to record highs. In Q2 FY2026, the company reported total revenue of 46.7 billion dollars, yet overall industry profits still lag behind massive investment levels due to maintenance costs and a mismatch between investment and earnings.
Why AI projects crash and burn
Besides the major AI players earning enough to offset some of their costs, more than two-fifths of AI initiatives end up on the virtual scrapheap for a range of reasons. Many companies jumped on the AI wave without a clear plan, copying what others were doing and overlooking the huge upfront investments needed to get projects off the ground.
GPU prices have soared in recent years, and new tariffs introduced by the current US administration have added even more pressure. Running an advanced model requires top-tier chips like NVIDIA’s H100, which costs around 30,000 dollars per unit. Once power consumption, facility costs, and security are added, the total bill becomes daunting for all but the largest players.
Another common issue is the lack of a scalable business model. Many companies adopt AI simply for the label, without a clear strategy for turning interest into revenue. In some industries, these efforts raise questions with customers and employees, exposing persistent trust gaps between human workers and AI systems.
The talent shortage creates further challenges. A young AI startup needs skilled engineers, data scientists, and operations teams to keep everything running smoothly. Building and managing a capable team requires both money and expertise. Unrealistic goals often add extra strain, causing many projects to falter before reaching the finish line.
Legal and ethical hurdles can also derail projects early on. Privacy laws, intellectual property disputes, and unresolved ethical questions create a difficult environment for companies trying to innovate. Lawsuits and legal fees have become routine, prompting some entrepreneurs to shut down rather than risk deeper financial trouble.
All of these obstacles together have proven too much for many ventures, leaving behind a discouraging trail of disbanded companies and abandoned ambitions. Sailing the AI seas offers a great opportunity, but storms can form quickly and overturn even the most confident voyages.
How AI can become profitable
While the situation may seem challenging now, there is still light at the end of the AI tunnel. The key to building a profitable and sustainable AI venture lies in careful planning and scaling only when the numbers add up. Companies that focus on fundamentals rather than hype stand the best chance of long-term success.
Lowering operational costs is one of the most important steps. Techniques such as model compression, caching, and routing queries to smaller models can dramatically reduce the cost of running AI systems. Improvements in chip efficiency and better infrastructure management can also help stretch every dollar further.
Shifting the revenue mix is another crucial factor. Many companies currently rely on cheap consumer products that attract large user bases but offer thin margins. A stronger focus on enterprise clients, who pay for reliability, customisation, and security, can provide a steadier and more profitable income stream.
Building real platforms rather than standalone products can unlock new revenue sources. Offering APIs, marketplaces, and developer tools allows companies to collect a share of the value created by others. The approach mirrors the strategies used by major cloud providers and app ecosystems.
Improving unit economics will determine which companies endure. Serving more users at lower per-request costs, increasing cache hit rates, and maximising infrastructure utilisation are essential to moving from growth at any cost to sustainable profit. Careful optimisation can turn large user bases into reliable sources of income.
Stronger financial discipline and clearer regulation can also play a role. Companies that set realistic growth targets and operate within stable policy frameworks are more likely to survive in the long run. Profitability will depend not only on innovation but also on smart execution and strategic focus.
Charting the future of AI profitability
The AI bubble appears stretched thin, and a constant stream of investments can do little more than artificially extend the lifespan of an AI venture doomed to fail. AI companies must find a way to create viable, realistic roadmaps to justify the sizeable cash injections, or they risk permanently compromising investors’ trust.
That said, the industry is still in its early and formative years, and there is plenty of room to grow and adapt to current and future landscapes. AI has the potential to become a stable economic force, but only if companies can find a compromise between innovation and financial pragmatism. Profitability will not come overnight, but it is within reach for those willing to build patiently and strategically.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Denmark will push for EU-wide age-verification rules to avoid a patchwork of national systems. As Council presidency, Copenhagen prioritises child protection online while keeping flexibility on national age limits. The aim is coordination without a single ‘digital majority’ age.
Ministers plan to give the European Commission a clear mandate for interoperable, privacy-preserving tools. An updated blueprint is being piloted in five states and aligns with the EU Digital Identity Wallet, which is due by the end of 2026. Goal: seamless, cross-border checks with minimal data exposure.
Copenhagen’s domestic agenda moves in parallel with a proposed ban on under-15 social media use. The government will consult national parties and EU partners on the scope and enforcement. Talks in Horsens, Denmark, signalled support for stronger safeguards and EU-level verification.
The emerging compromise separates ‘how to verify’ at the EU level from ‘what age to set’ at the national level. Proponents argue this avoids fragmentation while respecting domestic choices; critics warn implementation must minimise privacy risks and platform dependency.
Next steps include expanding pilots, formalising the Commission’s mandate, and publishing impact assessments. Clear standards on data minimisation, parental consent, and appeals will be vital. Affordable compliance for SMEs and independent oversight can sustain public trust.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot.
Jim Lee rejects generative AI for DC storytelling, pledging no AI writing, art, or audio under his leadership. He framed AI alongside other overhyped threats, arguing that predictions falter while human craft endures. DC, he said, will keep its focus on creator-led work.
Lee rooted the stance in the value of imperfection and intent. Smudges, rough lines, and hesitation signal authorship, not flaws. Fans, he argued, sense authenticity and recoil from outputs that feel synthetic or aggregated.
Concerns ranged from shrinking attention spans to characters nearing the public domain. The response, Lee said, is better storytelling and world-building. Owning a character differs from understanding one, and DC’s universe supplies the meaning that endures.
Policy meets practice in DCs recent moves against suspected AI art. In 2024, variant covers were pulled after high-profile allegations of AI-generated content. The episode illustrated a willingness to enforce standards rather than just announce them.
Lee positioned 2035 and DC’s centenary as a waypoint, not a finish line. Creative evolution remains essential, but without yielding authorship to algorithms. The pledge: human-made stories, guided by editors and artists, for the next century of DC.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Asia’s creative future takes centre stage at Singapore’s All That Matters, a September forum for sports, tech, marketing, gaming, and music. AI dominated the music track, spanning creation, distribution, and copyright. Session notes signal rapid structural change across the industry.
The web is shifting again as AI reshapes search and discovery. AI-first browsers and assistants challenge incumbents, while Google’s Gemini and Microsoft’s Copilot race on integration. Early builds feel rough, yet momentum points to a new media discovery order.
Consumption defined the last 25 years, moving from CDs to MP3s, piracy, streaming, and even vinyl’s comeback. Creation looks set to define the next decade as generative tools become ubiquitous. Betting against that shift may be comfortable, yet market forces indicate it is inevitable.
Music generators like Suno are advancing fast amid lawsuits and talks with rights holders. Expected label licensing will widen training data and scale models. Outputs should grow more realistic and, crucially, more emotionally engaging.
Simpler interfaces will accelerate adoption. The prevailing design thesis is ‘less UI’: creators state intent and the system orchestrates cloud tools. Some services already turn a hummed idea into an arranged track, foreshadowing release-ready music from plain descriptions.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Andhra Pradesh will sign an agreement with Google on Tuesday for a 1-gigawatt hyperscale data centre in Visakhapatnam. Officials describe the ₹80,000-crore investment as a centrepiece of ‘AI City Vizag’. Plans include clean-energy integration and resilient subsea and terrestrial connectivity.
The campus will deploy Google’s full AI stack to accelerate AI-driven transformation across India. Infrastructure, data-centre capacity, large-scale energy, and expanded fibre converge in one hub. Design targets reliability, scalability, and seamless links into Google’s global network.
Andhra Pradesh Secures India’s Largest-Ever Foreign Direct Investment: Google's Raiden Infotech to set up data centre in Visakha
SIPB approves investments to a tune of Rs 1,14,824 Cr
CM suggests regional economic corridors in North Andhra, Coastal and Rayalaseema pic.twitter.com/6PhKzr1ypm
State approval came via the State Investment Promotion Board led by Chief Minister N. Chandrababu Naidu. Government estimates forecast average annual GSDP gains of ₹10,518 crore in 2028–2032. About 1,88,220 jobs a year, plus ₹9,553 crore in Google Cloud-enabled productivity spillovers, are expected.
The agreement will be signed at Hotel Taj Mansingh in New Delhi. Union ministers Nirmala Sitharaman and Ashwini Vaishnaw will attend with Chief Minister Naidu. Google executives Thomas Kurian, Bikash Koley, and Karan Bajwa will represent the company.
Delivery will rely on single-window clearances, reliable utilities, and plug-and-play, renewable-ready infrastructure, led by the Economic Development Board and ITE&C. Naidu will invite the Prime Minister to ‘Super GST – Super Savings’ in Kurnool and the CII Partnership Summit in Vizag on 14–15 November.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
The Austrian Data Protection Authority (DSB) issued the ruling after a student, represented by privacy group noyb, was denied full access to their personal data. The complaint exposed a three-way responsibility gap between Microsoft, schools, and national education authorities.
During the COVID-19 pandemic, many schools adopted cloud-based tools like Microsoft 365 Education. However, Microsoft shifted responsibility for GDPR compliance onto schools and ministries, which often lack access to, or control over, student data processed by Microsoft.
In this case, Microsoft redirected the student’s data request to their school, which was unable to provide complete information.
The DSB found Microsoft guilty of multiple GDPR breaches. These included the illegal use of tracking cookies without consent and failing to provide the student full access to their data, violating Article 15.
Microsoft was also ordered to clarify how it uses data for purposes like ‘business modelling’ and whether it shares data with third parties like LinkedIn, OpenAI, or adtech firm Xandr.
Microsoft’s claim that its EU entity in Ireland was responsible for the product was rejected. The DSB ruled that key decisions were made in the USA, making Microsoft Corp the main data controller.
The decision has broad implications, with millions of students and public-sector users relying on Microsoft 365. As Max Schrems of noyb warned, schools and other European institutions will remain unable to meet their legal obligations under the GDPR unless Microsoft makes structural changes.
Would you like to learn more aboutAI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Italy’s data protection authority has ordered an immediate suspension of the app Clothoff, which uses AI to generate fake nude images of real people. The company behind it, based in the British Virgin Islands, is now barred from processing personal data of Italian users.
The watchdog found that Clothoff enables anyone, including minors, to upload photos and create sexually explicit or pornographic deepfakes. The app fails to verify consent from those depicted and offers no warning that the images are artificially generated.
The regulator described the measure as urgent, citing serious risks to human dignity, privacy, and data protection, particularly for children and teenagers. It has also launched a wider investigation into similar so-called ‘nudifying’ apps that exploit AI technology.
Italian media have reported a surge in cases where manipulated images are used for harassment and online abuse, prompting growing social alarm. Authorities say they intend to take further steps to protect individuals from deepfake exploitation and strengthen safeguards around AI image tools.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Entrepreneurs at International Purple Fest in Goa, India, from 9 to 12 October 2025, showcased AI transforming assistive technologies. Innovations like conversational screen readers, adaptive dashboards, and real-time captioning empower millions with disabilities worldwide.
Designed with input from those with lived experience, these tools turn barriers into opportunities for learning, working, and leading independently.
Surashree Rahane, born with club foot and polymelia, founded Yearbook Canvas and champions inclusive AI. Collaborating with Newton School of Technology near New Delhi, she develops adaptive learning platforms tailored to diverse learners.
‘AI can democratise education,’ she stated, ‘but only if trained to avoid perpetuating biases.’ Her work addresses structural barriers like inaccessible systems and biased funding networks.
Prateek Madhav, CEO of AssisTech Foundation, described AI as ‘the great equaliser,’ creating jobs through innovations like voice-to-speech tools and gesture-controlled wheelchairs.
Ketan Kothari, a consultant at Xavier’s Resource Centre in Mumbai, relies on AI for independent work, using live captions and visual description apps. Such advancements highlight AI’s role in fostering agency and inclusion across diverse needs.
Hosted by Goa’s Department for Empowerment of Persons with Disabilities, UN India, and the Ministry of Social Justice, Purple Fest promotes universal design.
Tshering Dema from the UN Development Coordination Office noted that inclusion requires a global mindset shift. ‘The future of work must be co-designed with people,’ she said, reflecting a worldwide transition towards accessibility.
Would you like to learn more about AI, tech and digital diplomacy? If so, ask our Diplo chatbot!
Musk said Grok will analyse bitstreams for AI signatures and scan the web to verify the origins of videos. Grok added that it will detect subtle AI artefacts in compression and generation patterns that humans cannot see.
AI tools such as Grok Imagine and Sora are reshaping the internet by making realistic video generation accessible to anyone. The rise of deepfakes has alarmed users, who warn that high-quality fake videos could soon be indistinguishable from real footage.
A user on X expressed concern that leaders are not addressing the growing risks. Elon Musk responded, revealing that his AI company xAI is developing Grok’s ability to detect AI-generated videos and trace their origins online.
@grok will be able to analyze the video for AI signatures in the bitstream and then further research the Internet to assess origin
The detection features aim to rebuild trust in digital media as AI-generated content spreads. Commentators have dubbed the flood of such content ‘AI slop’, raising concerns about misinformation and consent.
Concerns about deepfakes have grown since OpenAI launched the Sora app. A surge in deepfake content prompted OpenAI to tighten restrictions on cameo mode, allowing users to opt out of specific scenarios.
Would you like to learn more about AI, tech, and digital diplomacy? If so, ask our Diplo chatbot!
