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  • OpenAI

OpenAI’s executive departures continue as its top data center chief exits

OpenAI’s executive departures continue, and the newest one hits a corner of the company that decides how fast its AI can grow.

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DEWA launched agentic AI
  • AI Agent

DEWA launched agentic AI across its digital platforms to reshape how you receive public services. The utility deployed this technology on its website, smart app, and internal employee systems. Dubai Electricity and Water Authority now ranks among the first utilities worldwide to reach this stage. Its leaders followed directives from Dubai’s ruler to widen AI use across government work. You gain faster service, cleaner design, and steadier quality through these new AI agents. The agents help designers build components and flag any work falling outside the approved standards. This work cut production and review time and lifted design consistency by around 80 percent.

Saeed Al Tayer runs the authority as its managing director and chief executive officer. He said AI now serves as “a core component of its operational and service infrastructure.” The chief executive called the rollout a milestone in redefining public services during the AI era. You now reach these services through an integrated system linked to global AI platforms. These changes support the UAE Strategy for Artificial Intelligence 2031 and long-term national goals. Officials built the digital groundwork early, so they acted fast once the directives arrived. DEWA also became the first UAE government body to adopt Microsoft Copilot for workplace tasks.

How DEWA launched agentic AI across its services

Rammas AI assistant sits at the center of this customer-facing push by the utility. The utility first launched this virtual helper in 2017 to answer everyday customer questions. It now runs on GPT-4o and pulls real-time answers directly from the DEWA website. Since its 2017 start, Rammas has handled over 13 million inquiries across DEWA’s channels. The AI agents also power DEWA’s Testing Centre of Excellence behind the digital scenes. There, agents write test plans, run checks, and produce full reports without manual steps. This work raised test verification efficiency by about 85 percent across DEWA’s digital channels. Quality on those channels climbed by as much as 93 percent after the rollout. DEWA launched agentic AI with a clear focus on governance, security, and user privacy. The authority supports this build with an Agent Development Kit for its internal teams. This kit lets staff scale agentic AI while they still follow strict security rules. From my standpoint, this careful setup matters more than the raw speed gains alone.

What agentic AI means for your daily service

You benefit when a public utility guards your data as it speeds up service. The rollout also feeds Dubai’s wider plan to lead in AI and future technology. Dubai Electricity and Water Authority plans to widen these tools across more secure platforms. The utility ties each step to the UAE Centennial 2071 and its long horizon. DEWA launched agentic AI not as a one-off, but as a lasting operating model. Its early planning shows how public bodies can move quickly once leaders set direction. You should watch how these AI agents reshape bills, accounts, and daily support next. For now, DEWA launched agentic AI at a scale few utilities have matched globally. The next phase will test whether these gains hold as more services move online. Your experience with DEWA should feel faster and simpler as agentic AI keeps growing.

About DEWA

Official Website: https://www.dewa.gov.ae/en/

The Dubai Electricity and Water Authority (DEWA) is the government-owned utility responsible for electricity and water supply in Dubai. It plays a central role in powering the emirate’s economic growth, infrastructure, and sustainability initiatives.

Strategic Role:

  • Infrastructure Backbone: Ensures reliable energy and water for residential, commercial, and industrial demand
  • Clean Energy Leadership: Drives large-scale projects like the Mohammed bin Rashid Al Maktoum Solar Park
  • Monetization Model: Regulated utility with stable, recurring revenue and strong state backing
  • 4 min read
OpenAI's custom AI chip
  • OpenAI

OpenAI’s custom AI chip is on the way, and it targets the high cost of running models. The company built the processor with Broadcom to serve ChatGPT and its coding agent Codex. Named Jalapeño, the chip handles inference, the step where models answer your everyday requests. Early tests point to far better performance per watt than current top hardware, OpenAI reports. This move pushes the firm past consumer apps and into real AI infrastructure work.

The OpenAI Broadcom partnership started last year with a plan for large custom hardware. Both firms aimed to power ten gigawatts of computing across many future data centers. OpenAI designed this AI inference chip only for large language models, not general tasks. Google and Amazon already build their own chips to guide performance and control spending. Custom AI silicon helps firms lower OpenAI and Nvidia dependence and own more of the stack. Greg Brockman said the firm can serve more intelligence with greater efficiency across its systems.

As I read it, this shift lowers costs and widens access to strong AI tools. OpenAI’s custom AI chip is on the way as the firm prepares a major public listing. Investors want clear proof the firm can earn revenue near a trillion-dollar target. Analysts see the launch as a real test of OpenAI’s push into custom hardware. Nvidia became the most valuable public company as its chips power global AI centers.

Why OpenAI’s custom AI chip is on the way now

OpenAI’s custom AI chip is on the way to make each ChatGPT reply cheaper for users. Broadcom says the design offers about fifty percent cost savings versus typical AI processors. Lower inference cost matters because millions of people use ChatGPT and coding tools daily. The team moved from design to production in nine months, a rare pace for chips. OpenAI even used its own models to speed parts of the design and testing. For years, the firm rented GPU power from Nvidia and cloud partners at high cost. Owning silicon now lets the firm control supply and shield itself from price swings. The chip works only for inference, so heavy training tasks still rely on Nvidia gear. Broadcom gains too, since custom chip work has lifted its role across the AI boom.

The payoff for everyday ChatGPT users

Microsoft signed on as a main partner for the first large-scale chip rollout. Reports say Microsoft agreed to buy a large share of the first chip run. OpenAI’s custom AI chip is on the way to gigawatt scale with Microsoft late in 2026. Full volume production should ramp through 2027 and 2028, senior Broadcom leaders told reporters. Most users will feel changes only after the rollout grows over the next year. You should watch for faster replies and steadier pricing as the chips reach data centers. The OpenAI Jalapeño chip stands to reshape how much you pay for advanced AI features. Rival labs from Alibaba to Huawei now design chips to cut supplier reliance too. OpenAI plans to publish full benchmark numbers for the chip in the coming months. For now, the launch signals a firm ready to build its full AI stack.

  • 3 min read
Base44 launches its own AI model
  • Business Intelligence

Base44 launches its own AI model to give users faster app building at lower cost. The Tel Aviv company built this model after Wix bought it for 80 million dollars. Base44 was barely six months old then, with a small team of eight people. You now see the platform roll out Base1 across its main app creation tools. The new model relies on tens of millions of real user interactions for training. Base1 ranks as the first model from a vibe coding platform in live production use. Maor Shlomo, Base44 founder, explains clearly why owning a full model beats renting one.

Founder Shlomo described the payoff during the launch using clear and direct public language. “Having our own model allows us to continuously improve performance and reduce vendor dependency.” Base44 trained Base1 on its own data instead of leaning on outside model makers. You benefit because a focused model often handles app tasks faster than broad rivals. The company calls Base1 a step toward owning its full technical stack end to end. Rivals such as Lovable still rent frontier models from larger outside AI model providers. Shlomo expects more peers to train models once they reach real scale and speed.

Why Base44 launches its own AI model now

Cost pressure pushes many AI firms to rethink how they pay for model compute. Enterprise clients question the return from using top frontier models for every single task. Owning the Base44 Base1 model gives the firm direct control over compute and inference spend. Stronger margins would help the company after Wix announced layoffs across its wider teams. Wix recently confirmed a plan to cut twenty percent of its worldwide staff base. Base44 instead grew its headcount and passed 100 million dollars in annual recurring revenue. You should watch costs because inference fees now drive margins across AI native firms.

Base1 builds on an open-source model, fine-tuned hard for app creation tasks. Shlomo says a frontier model from scratch would cost several billion dollars to build. A narrow tool tuned for one job can beat a broad model on speed. Base44 wants Base1 to feel faster, cheaper, and sharper on real design work for you. The vibe coding platform faces fast-moving rivals on every side of the market. Lovable reached 500 million dollars in annual recurring revenue earlier during this same month. Replit, Bolt, and Figma also chase users inside the same growing app building category.

A bigger test of AI startup defensibility

AI startup defensibility now rests on data, distribution, and a solid owned technical stack. A venture investor at Headline names these three pillars as the core of survival. Base44 now owns all three pillars through its own data, reach, and proprietary LLM. The sharper threat now arrives from frontier labs moving into the vibe coding space. From my standpoint, this race rewards firms with data, scale, and tight cost control. Base44 launches its own AI model at a moment of rising pressure on margins. You will watch closely as Base44 launches its own AI model into a crowded field. Shlomo calls Base1 a long engineering effort with much bigger model versions still ahead. The outcome will shape how you build apps and what each prompt costs you.

  • 3 min read
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