The AI Bulletin : Top Industry Updates You Need to Know
- Staff Correspondent
- Mar 25
- 6 min read
In this edition , we explore a series of groundbreaking developments that highlight AI’s vast reach and transformative potential. Early 2025 has been a resounding evidence of AI rewriting the rules of engagement, interaction, innovation, and markets. Here, we capture narratives being built in the tech industry with the release of AI Agents/ Agentic Models and the foundation of trade and market protection from AI- generated false content with bold steps from China. AI regulations in the EU are being laid, at the same time, Google is pushing the curve of Innovation with Gemini Robotics. With possibilities and vigilance, dive into the stories!
China’s Bold Approach to Curbing AI-Driven Misinformation
With the extensive growth and use of AI models, like DeepSeek, China responds proactively to control the digital narrative and counter misinformation by mandating that all AI-generated content be clearly labeled. This is a strong move to protect investors from misleading information and stock manipulators. It has been evident in financial markets where AI-fueled fake news has spurred volatile trading.
On, 15th March, 2025, Chinese authorities issued guidelines requiring labels on all artificial intelligence-generated content circulated online. The regulations will take effect on Sept 1.
The guidelines set forth a two-tier labeling system:
Explicit Labelling: Content produced by AI must display a human-readable label—whether through watermarks, text overlays, or even sound. This requirement is designed to immediately alert viewers that the content is machine-generated and to prevent misleading portrayals.
Implicit Labelling: Beyond visible markers, AI-generated files must also carry hidden metadata. This metadata should include essential details such as the service provider’s identity, a unique content identification number, and the notation “AIGC.” These embedded labels enable ongoing tracking and verification even if the explicit labels are altered or removed.
These guidelines will also require online platforms–from social media giants to e-commerce sites to deploy technologies that can detect AI-generated content, verify embedded metadata, and enforce compliance. This may set a precedent for global AI governance, influencing how international markets address the challenges of AI-driven misinformation.
Google launches DeepMind Robotics & Gemma 3
Google is accelerating the pace of AI innovation with two launches that are poised to reshape industries or influence global hardware markets. DeepMind’s Gemini Robotics enables robots to process language, visuals, and actions with adaptability, while Google’s open-source Gemma 3 delivers multimodal AI efficiently—running on just a single NVIDIA GPU.
Gemini Robotics
Google DeepMind has unveiled two advanced artificial intelligence models: Gemini Robotics and Gemini Robotics-ER. Gemini Robotics is an advanced vision-language-action (VLA) model built on Gemini 2.0 with the addition of physical actions as a new output modality for the purpose of directly controlling robots. The Gemini Robotics-ER is a Gemini model with advanced spatial understanding, enabling roboticists to run their own programs using Gemini’s embodied reasoning (ER) abilities.
The new model makes advancements in three key areas: generality, interactivity, and dexterity. Carolina Parada, the senior director and head of robotics at Google DeepMind, said “While we have made progress in each one of these areas individually in the past with general robotics, we’re bringing drastically increasing performance in all three areas with a single model. This enables us to build robots that are more capable, that are more responsive and that are more robust to changes in their environment.”
With the ability to generalize and adapt in real time, Gemini Robotics is set to drive innovations in manufacturing, healthcare, and home automation. Google DeepMind is working with Apptronik, Boston Dynamics, and Agile Robots already to explore the capabilities.
Source: https://deepmind.google/discover/blog/gemini-robotics-brings-ai-into-the-physical-world/Launch of Gemma 3
Google launched Gemma 3, a collection of lightweight, open models designed to run fast, directly on devices — from phones and laptops to workstations — helping developers create AI applications, wherever people need them. They run smoothly with just a single Nvidia chip, known as a GPU.
After DeepSeek and Google, Cohere, a startup by Aidan Gomez (former Googler) also released a new model Command A that runs on just two GPUs.
After DeepSeek’s ability to do more with less caused the largest single-day wipeout in the US stock market, the new wave of SOTA models with just a few GPUs might seem to pose a threat or rather signal increase in consumption of the newer technology.
Source: https://blog.google/technology/developers/gemma-3/OpenAI’s $11.9 Billion CoreWeave Deal Signaling Massive AI Scaling
OpenAI has entered into a five-year, $11.9 billion agreement with CoreWeave, a specialized cloud infrastructure provider backed by NVIDIA, to enhance its AI computational capabilities. This partnership underscores OpenAI's commitment to scaling its AI operations and diversifying its infrastructure. As part of the agreement with CoreWeave, the AI company will also get a $350mn equity stake in the group ahead of the IPO. This partnership allows OpenAI to expand its computing capabilities beyond its primary partner, Microsoft, ensuring a more robust and diversified infrastructure. This collaboration between OpenAI and CoreWeave signifies a strategic move to meet the growing computational demands of advanced AI research and deployment.
Swiss Federal Council publishes AI regulatory approach
In November 2023, the Federal Council instructed the DETEC and the Federal Department of Foreign Affairs (FDFA) to analyze possible regulatory approaches to AI in Switzerland. On 12 February 2025, the DETEC presented an overview of possible AI regulatory approaches to the Federal Council. This overview considered existing Swiss legislation, sector-specific regulations, international regulatory approaches to AI, and relevant economic and European policy implications. The Federal Council confirmed this approach and announced Switzerland's intention to ratify the AI Framework Convention.
The Swiss Council unveiled its regulatory strategy for artificial intelligence, aiming to bolster innovation, safeguard fundamental rights, and enhance public trust in AI technologies. They focused on three parameters:
Sector-Specific Rules – Regulations will be tailored to industries rather than imposing blanket AI laws.
International Alignment – Switzerland will adopt the Council of Europe’s AI Convention to ensure global consistency.
Fundamental Rights Protection – The framework prioritizes ethical AI use while enabling technological growth.
Switzerland’s ratification of the AI Framework Convention is unlikely to affect most private companies directly. However, where fundamental rights like privacy are concerned private contracts may need to respect these core principles. Government contracts with Swiss AI vendors will likely include these obligations, so companies frequently dealing with public entities should adjust their procurement strategies. Additionally, one can expect targeted legislative changes—especially around data protection—and potential impacts on financial regulations.
AI Agents : The next step of automation and risk
The rise of AI agents has sparked significant excitement in the tech world, yet it’s accompanied by a notable dispute: there’s no clear consensus on what an "AI agent" truly is. Nearly every company building AI agents approaches the tech differently. This week, OpenAI published a blog post that defined agents as “automated systems that can independently accomplish tasks on behalf of users.” Meanwhile, Microsoft’s and Google’s blogs distinguish between AI agents, Assistants, and Bots.Hence, it is an important time, as several companies have just started shipping their first AI agents, each with unique capabilities and market implications.
OpenAI: Operator
OpenAI introduced "Operator," an AI agent designed to autonomously handle complex web-based tasks, such as data entry and scheduling, aiming to enhance efficiency across industries.
Anthropic: Claude 3.0
Anthropic released Claude 3.0, focusing on safety and reliability, particularly in sensitive sectors like healthcare and finance, to ensure ethical AI deployment.
Manus AI
Chinese developers unveiled Manus, an AI agent drawing comparisons to earlier models like DeepSeek, showcasing capabilities in sorting resumes and analyzing stock correlations.
Microsoft's AI Agents
Microsoft announced two AI agents designed to streamline sales processes for enterprise clients, from lead generation to customer follow-ups.
In a recent BCG report, AI agents are reported to gaining traction quickly across an array of business applications—and the market for AI agents is expected to grow at a 45% CAGR over the next five years.
In another recent news article, JP Morgan says it can boost productivity of its software engineers by up to 20% by using an AI coding tool. The introduction of these AI agents signifies a pivotal shift toward automation across various industries. However, the rise of autonomous AI also raises concerns about data privacy and security. Experts caution that without proper oversight, AI agents could pose risks, including unauthorized data access and potential misuse.
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