AI Research Accelerates as Goldman Sachs Restricts Tools and OpenAI Expands in Abu Dhabi

Three Major Developments Highlight the Changing AI Industry

Artificial intelligence is moving into a new phase. AI systems are helping researchers develop more advanced models, businesses are reconsidering how employees use AI tools, and governments are signing agreements to bring AI into public services and major industries.

Three recent developments highlight this shift. Anthropic has warned that AI could soon accelerate its own development. Goldman Sachs has restricted access to advanced AI coding tools for many employees after a period of experimentation. Meanwhile, OpenAI has signed several agreements with Abu Dhabi organisations to expand AI adoption across government, energy, investment and education.

Although these developments involve different organisations, they point to a common trend: AI is becoming more powerful and more deeply connected to everyday business operations.

Anthropic Warns That AI Research Could Accelerate Dramatically

Anthropic has raised concerns about how quickly artificial intelligence could change the process of developing new AI systems.

In its research on recursive self-improvement, the company explains that AI is already helping its engineers with coding, debugging and other development tasks. As these systems become more capable, they could take on a larger share of the work involved in building future AI models.

Anthropic reports that its engineers now produce around eight times as much code per quarter as they did during the 2021–2025 period. The company also describes how Claude has helped complete large-scale engineering tasks that would otherwise have taken considerable time.

One example involved more than 800 fixes delivered in April 2026 to reduce a particular class of API errors. An engineer estimated that completing the work manually would have taken around four years.

The larger concern is what happens when AI systems begin helping researchers design, build and train their own successors.

This possibility is known as recursive self-improvement. In such a process, one generation of AI could help develop a more capable next generation, potentially creating a cycle of faster improvements.

Anthropic says this level of fully autonomous AI development has not yet been reached and is not inevitable. However, the company believes the possibility could arrive sooner than many institutions expect.

The development could bring benefits to scientific research, medicine and engineering. At the same time, it raises questions about safety, testing and human oversight as the pace of AI development increases.

Goldman Sachs Restricts Advanced AI Coding Tools

While AI companies are exploring how far automation can go, Goldman Sachs is taking a more cautious approach to employee access.

According to a Bloomberg report published on November 2, 2026, Goldman Sachs has restricted most employees from using certain advanced AI coding tools. Access is now largely limited to engineers.

The tools previously available to some employees included Anthropic’s Claude Code and Microsoft’s GitHub-related coding tools. Traders and bankers had experimented with them to build internal applications, monitor trading activity, model market changes and create business content.

The bank’s decision followed a period of experimentation in which it assessed factors including productivity and risk management.

A Goldman spokesperson said the company makes selected AI tools available so employees can identify useful applications. After evaluating productivity and risks, the tools are placed in the hands of employees best suited to use them over the long term.

The change highlights a challenge facing large financial institutions. AI coding assistants can help employees create software and automate repetitive tasks without requiring extensive programming experience.

However, banks also operate under strict security, compliance and data protection requirements. Tools that generate code or interact with internal systems may introduce risks if they are not properly tested and controlled.

Goldman’s decision does not mean the company is abandoning AI. Instead, it shows how organisations are trying to balance experimentation with security, oversight and practical business value.

OpenAI Expands Its AI Partnerships in Abu Dhabi

In another major development, OpenAI has signed a series of agreements with Abu Dhabi organisations to expand the use of AI across government and industry.

The agreements were announced on November 2, 2026, during OpenAI CEO Sam Altman’s visit to the UAE.

One of the key partnerships involves Abu Dhabi’s state-owned energy company ADNOC, which is working with OpenAI and G42 to deploy OpenAI’s Frontier platform. The initiative aims to connect AI capabilities across operational, investment and commercial decisions in the energy business.

The partnership will initially focus on field master planning, bringing together information from thousands of wells, reservoirs and facilities to support complex development decisions.

The Abu Dhabi government has also launched a Machine-Readable Government initiative with OpenAI. It will convert selected government policies and regulations into formats that AI systems can process.

This could help officials with routine regulatory assessments, including processes related to permits and certificates. The first pilot is already operating with the Abu Dhabi Agriculture and Food Safety Authority, focusing on food imports. Government officials will retain responsibility for final decisions.

Another agreement involves Mubadala, Inception42 and OpenAI. It will explore AI applications for investment analysis, identifying opportunities and assessing risks.

OpenAI and Inception42 have also signed a five-year agreement to support AI adoption across government, businesses and education in the UAE.

These agreements show how AI is moving beyond chatbots and individual productivity tools towards larger systems connected to national infrastructure and major industries.

What These Developments Mean for Businesses

The three developments reveal different challenges and opportunities in the AI industry.

Anthropic’s warning highlights the possibility of faster AI research and development. If AI systems take on more of the work involved in building future models, companies may see faster innovation cycles.

Goldman Sachs demonstrates that businesses need clear rules for AI adoption. Giving employees access to advanced tools can encourage innovation, but organisations must also consider security, accuracy, compliance and accountability.

OpenAI’s Abu Dhabi agreements show how governments and large industries are exploring AI at an operational level. Instead of using AI only for individual tasks, organisations are looking to connect it with existing systems, data and decision-making processes.

For businesses, the challenge is no longer simply deciding whether to adopt AI. It is deciding where AI can create measurable value, how it should be controlled and which tasks still require direct human oversight.

The Next Phase of AI Will Require Both Innovation and Control

AI development is advancing across research, business and government. Systems are becoming more capable of supporting complex work, while organisations are learning how to manage their risks and integrate them into existing operations.

Anthropic’s warning raises questions about the speed of future AI development. Goldman Sachs’ restrictions show that businesses are still working out the right level of employee access. OpenAI’s Abu Dhabi agreements demonstrate the growing ambition to deploy AI across entire sectors.

The next phase of AI will depend not only on building more powerful models, but also on making them reliable, secure and useful in real-world environments.