Google has laid off over 200 AI trainers amid a broader wave of layoffs, while offering multi-million dollar job offers to attract top AI specialists. The move highlights the growing wealth gap between essential task performers and tech industry innovators, with former employees alleging unequal pay and treatment for contractors compared to in-house staff.
Experts warn that users' facial data may not be safe due to AI trends, as seen in Google's Gemini Nano Banana portraits. The trend has raised concerns about the security of users' personal data, particularly in the context of artificial intelligence and facial recognition technology.
A recent warning from an IPS officer cautions users about the potential financial risks associated with adopting viral AI trends, such as those seen in Gemini's Nano and Banana models. The officer's experience has highlighted the need for caution when sharing personal images or sensitive information online, as these trends may be used to commit financial fraud. This warning is particularly relevant in the context of Google's Gemini AI company, which has been at the forefront of developing these AI-powered tools.
Leaders must design frameworks that democratize AI value, rather than concentrating it. Traditional command-and-control leadership models fail to handle AI's complexity and speed, leading to failed projects due to leaders trying to dictate technical solutions instead of designing human-centered outcomes. AGI governance should be through system design, not control, and leaders must orchestrate multidimensional value creation. This requires enabling stakeholder input into AI values, creating cross-functional collaboration mechanisms, and designing values-first systems that democratize intelligence. Organizations are shifting their approach to ethics, treating it as a core component of AI development rather than an add-on.
Haut.AI launches SkinChat, an AI-powered skincare advisor that allows users to shop for products with just one click. The platform integrates with brands such as Neutrogena and Ulta Beauty, enabling personalized experiences that drive business impact. Haut.AI's proprietary skin analysis engine powers the advisor, which also tracks progress in a user's personal SkinPortrait Hub.
Trade finance and AI are rewiring growth for mid-size firms by unlocking incremental value through liquidity and risk management. By leveraging trade finance, companies can free up staff for higher-value tasks, reducing manual work and processing costs. AI is also playing a key role in this transformation, helping firms to derisk global commerce and make more informed decisions.
India needs an employment-linked incentive policy for the electro-intelligence stack to anchor jobs, build supply chains and ensure it's a producer for the world. The policy would help India avoid being merely a consumer of Chinese machines and become a producer for the world. This is crucial as India's AI capabilities are growing, but behind the glitter lies an unforgiving reality: the AI race is about capital, compute and compliance.
Invisible Technologies has raised $100 million for its AI software platform, which includes components such as "Neuron" and "Axon". The funding round comes amid increased focus on agentic AI, a topic filled with opportunities and challenges. Recent research by PYMNTS Intelligence found that millennials are leading the adoption of AI at work, with 52% using generational AI tools and 61% reporting it helps them accomplish more quickly.
LambdaTest launches KaneAI to Democratize Native AI Test Automation. LambdaTest's agents, such as HyperExecute and KaneAI, integrate AI and cloud power into their software testing workflow. This allows for seamless automation of over 120 integrations. The agents accelerate testing throughout the software development lifecycle (SDLC), from planning and creating tests to automation, infrastructure, execution, Root Cause Analysis (RCA) and report generation.