openai launches google while chatgpt expands its platform

Key Takeaways

• The global Edge AI hardware market is projected to grow from USD 10.5 billion in 2023 to USD 45.2 billion by 2031, driven by IoT and real-time processing needs.
• OpenAI successfully scaled its PostgreSQL database to support 800 million ChatGPT users and millions of queries per second, now shifting heavy write operations to specialized databases.
• Lila Ibrahim, COO of Google DeepMind, emphasized the importance of teaching responsible AI use as the technology transforms education and work.
• Retailers are using AI, such as Happy Returns' Return Vision system, to combat return fraud, which cost them nearly $900 billion in 2024.
• NSFOCUS AI-SCAN, a new AI security system, was recognized for its ability to identify security risks in Large Language Models across model, data, and content.
• ARK Invest's "Big Ideas 2026" report predicts a "Great Acceleration" in the economy, fueled by the convergence of AI and other innovative technologies.
• A PwC report indicates that only 30% of CEOs saw higher revenue from AI investments in the past year, with many companies struggling to move beyond pilot projects.
• Companies must reshape their workforce, operations, and policies to fully benefit from AI, focusing on new skill sets, job redesign, and employee mobility.
• The European PRECISE project, with nearly €15 million in funding, is using AI to create 3D digital models for protecting critical infrastructure like airports and railways.
• Challenges for the Edge AI market include power consumption, hardware cost, and data security, despite its rapid growth potential.

Edge AI Hardware Market to Reach 68 Billion by 2031

The global Edge AI Hardware Market is expected to grow from USD 26.11 billion in 2025 to USD 68.85 billion by 2031, with a 17.54% annual growth rate. This market includes specialized chips like Neural Processing Units, Graphics Processing Units, and Application-Specific Integrated Circuits that process AI locally on devices. The growth is driven by the increasing number of IoT devices and the need for fast, real-time decisions, especially in cars and healthcare. A main challenge is making these powerful chips energy efficient for battery-powered devices.

Edge AI Hardware Market Forecasted to Hit 45 Billion

The global Edge AI hardware market was valued at USD 10.5 billion in 2023 and is expected to reach USD 45.2 billion by 2031. Key drivers include the rise of IoT devices and the demand for fast processing in areas like self-driving cars and industrial automation. Opportunities exist in autonomous systems and mobile chips with built-in AI units. Challenges include power use, hardware cost, and data security. North America leads the market, and Asia-Pacific is expected to grow the fastest.

Google DeepMind COO Discusses AI in Education

Lila Ibrahim, the Chief Operating Officer of Google DeepMind, recently discussed how AI will change education and work. She talked about both the good things AI can bring and the possible risks. Ibrahim stressed the importance of teaching people to use AI responsibly right now. This conversation helps us understand AI's future role in learning.

OpenAI Scales PostgreSQL for 800 Million ChatGPT Users

OpenAI has successfully scaled its PostgreSQL database to support 800 million ChatGPT users and millions of queries per second. Bohan Zhang, a technical staff member, explained how they achieved this with one main database and nearly 50 copies around the world. While PostgreSQL works well for reading data, heavy writing causes issues due to its design. To fix this, OpenAI is moving parts of its system that write a lot of data to other specialized databases like Azure Cosmos DB. Sharding the main PostgreSQL system would be too difficult and take too long.

NSFOCUS AI-SCAN Recognized for LLM Security

NSFOCUS AI-SCAN, a new AI security system, received recognition in a recent IDC report on Large Language Model security. This system helps find security risks in LLMs throughout their use, covering areas like model, data, and content security. Experts calibrate its assessment algorithms to accurately detect issues such as content compliance and supply chain security. AI-SCAN supports over 140 LLM evaluation standards and can adapt to new models quickly. NSFOCUS also offers other tools like AI Security GuardRails and AI Unified Threat Management that work with AI-SCAN to provide complete protection.

ARK Invest Predicts AI Will Drive Economic Growth

Cathie Wood's ARK Invest released its "Big Ideas 2026" report, predicting a "Great Acceleration" in the economy. This growth will come from AI and other new technologies working together. The report suggests investors should look at innovation platforms like AI and next-gen computing, along with reinvented economic engines such as robotics and space systems. ARK Invest believes these converging technologies will boost productivity and create value faster than expected. The goal is to find companies that lead and benefit from these big changes early on.

Companies Must Reshape Workforce for AI Age

To fully benefit from AI, companies need to change their workforce, how they operate, and their rules. This means creating a clear plan for skills, redesigning jobs to include AI, and allowing employees to move to new roles easily. AI will handle repetitive tasks, letting humans focus on judgment and relationships. There is a growing need for AI engineers and data specialists, along with leadership and social skills. Companies should focus on specific AI goals with strong engineering and partnerships to succeed.

European Project Uses AI to Protect Infrastructure

A new European Defense Fund project called PRECISE will use AI to protect critical infrastructure like airports and railways. Led by GMV, the project involves 10 companies from 5 countries and received nearly €15 million in funding for four years. PRECISE will create detailed 3D digital models of facilities to simulate attacks and find ways to prevent them. It will automatically build these models using data from satellites and other sensors. The project aims to deliver a working software demo that could lead to future operational solutions.

Most CEOs See No Financial Gain from AI

A new report from PwC shows that most CEOs are concerned because their AI investments are not yet bringing financial returns. Only 30% of leaders reported higher revenue from AI in the past year, while 56% saw no increase in revenue or lower costs. PwC global chairman Mohamed Kande noted that a few companies are seeing returns, but many are still stuck on pilot projects. The report suggests that many companies lack clear plans and enough investment to make AI profitable.

Retailers Use AI to Combat Return Fraud

Retailers are using artificial intelligence to fight against rising return fraud, which cost them nearly $900 billion in 2024. Happy Returns, a logistics company, reports that one in nine returns is fraudulent, with customers often sending back cheaper items. To address this, Happy Returns launched an AI system called Return Vision. This system gives a fraud risk score to each return by looking at customer behavior and item details. When fraud is confirmed, refunds are stopped, and customer accounts are flagged to prevent future issues.

Sources

• Edge AI Hardware Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031
• Edge AI Hardware Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031
• Will AI make or break education? Google DeepMind COO Lila Ibrahim weighs in
• Scaling PostgreSQL to power 800 million ChatGPT users
• NSFOCUS AI-Scan Gains Recognition from Authoritative Institution
• Cathie Wood's ARK Invest predicts AI, other tech's great acceleration
• Re-engineer the workforce for the AI age: A blueprint for scale, skills and responsible growth
• 5 countries, 10 companies, €15M: PRECISE AI project aims to protect European infrastructure
• Majority of CEOs Alarmed as AI Delivers No Financial Returns
• Retailers fight return fraud with artificial intelligence