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Declining Gaming Revenues Bring Middle East Opportunities
The global gaming industry faces plenty of challenges, but the Middle East’s investments have resulted in growth opportunities and regional resilience.
Ask a casual observer about the state of the gaming industry, and they’ll likely tell you that it’s in fine health. After all, this vast landscape of big-studio and indie developers, consoles, and cloud-based services rakes in billions each year.
However, despite headline-grabbing news such as Microsoft’s recent $75 billion acquisition of Activision Blizzard, a closer examination reveals several underlying challenges. Despite initial surges during the pandemic, gaming usage and revenues have declined due to factors like inflation. Business Insider recently reported a 2.3% decrease in US gaming revenue in 2023 compared to the previous year, signaling a shift in consumer behavior that includes reduced gaming hours per week.
Analyst Matthew Ball’s assessment of the industry’s state highlights a concerning trend of layoffs, with a significant increase observed in 2024. Substantial cuts within Microsoft Gaming have impacted approximately 8% of its workforce. Meanwhile, key departures from Blizzard add to the industry’s instability.
While these layoffs have global implications, the Middle East and North Africa (MENA) region presents a unique opportunity amidst the industry’s challenges. With a rapidly growing gaming market and substantial government investments, countries like Saudi Arabia and the UAE are aiming to establish themselves as global hubs.
Also Read: Top 10 Best Video Games Set In The Middle East
Saudi Arabia’s Savvy Games Group, backed by a $38 billion investment from PIF, seeks to bolster the Kingdom’s gaming industry and emerge as a global leader. Similarly, the UAE’s ambitious Dubai Program for 2033 aims to position Dubai among the top 10 cities in the gaming industry by boosting its digital economy and GDP.
These initiatives could offer insulation against the industry’s turbulence while creating growth opportunities for regional gaming companies. By diversifying their economies and investing in long-term development, Middle Eastern countries are demonstrating a strategic approach distinct from the short-term profit-driven motives seen elsewhere in the industry.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads
The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
