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RBC Launches New AI and Innovation Team to Drive Capital Markets Growth

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Royal Bank of Canada (RBC) has established a new Artificial Intelligence and Digital Innovation team within its capital markets division, as the country’s largest lender ramps up efforts to use AI for enhancing trading, research, and operational efficiency.

The newly formed team will operate out of New York, Toronto, and London, and report to Lindsay Patrick, who has been appointed Chief Strategy and Innovation Officer. The move marks a strategic shift in how RBC intends to position itself in the global financial services landscape as AI adoption accelerates across the banking sector.

Bobby Grubert, who previously worked on RBC’s flagship generative AI platform Aiden and the bank’s data-driven research tool RBC Elements, will lead the unit as Head of AI and Digital Innovation, reporting directly to Patrick.

Strategic AI Push

RBC has been steadily expanding its AI capabilities. In March, the bank revealed it expects to earn up to C$1 billion ($722 million) from AI investments, underscoring the technology’s importance in the bank’s future growth strategy.

“We are betting on AI to speed up training, streamline processes, and improve overall efficiency,” said CEO Dave McKay, who also noted positive feedback from technology partners, including Nvidia CEO Jensen Huang.

Within capital markets, RBC has already been leveraging Aiden — developed in collaboration with research institute Borealis AI — to automate electronic trading, improve operational workflows, and enhance data analytics.

Derek Neldner, Head of RBC Capital Markets, said Aiden is being used to scale front-to-back automation, improve electronic execution, and deliver data-powered research and insights.

Industry-Wide AI Race

RBC is among several major banks globally accelerating their investment in AI to:

  • Automate document processing and customer interactions,

  • Enhance fraud detection and compliance,

  • Improve research delivery and trade execution.

Rival Bank of Montreal (BMO) has also appointed a Chief AI and Data Officer, and other Canadian and global banks are rapidly building out internal AI capabilities.

By formalizing its AI strategy within a dedicated team, RBC is aiming to consolidate its early leads and position itself at the forefront of AI-driven capital markets innovation.

Snowflake Raises Annual Revenue Forecast Amid AI-Driven Demand Surge

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Snowflake (SNOW.N) raised its fiscal 2026 product revenue forecast on Wednesday, driven by strong enterprise demand for its data analytics and AI services. The company’s shares jumped 6% to $190.09 in after-hours trading following better-than-expected first-quarter results and an upbeat outlook for the current quarter.

The AI boom has been a key growth engine for Snowflake. Through partnerships with OpenAI and Anthropic, the company has expanded its platform to support customers building and running advanced AI models, particularly for data-driven applications. This has significantly broadened its appeal across industries prioritizing cloud migration and AI adoption.

Updated Guidance and Performance

  • Q1 Product Revenue: $996.8 million (↑26% YoY), surpassing analysts’ forecast of $959.2 million

  • Q2 Product Revenue Forecast: $1.035 – $1.040 billion vs. $1.021 billion expected

  • Fiscal 2026 Product Revenue Forecast: $4.325 billion (up from $4.28 billion)

On an adjusted basis, Snowflake earned 24 cents per share, beating expectations of 21 cents.

Analysts attribute Snowflake’s momentum to its ability to scale cloud-based AI tools for enterprise clients, particularly those building AI agents and automation workflows. The company’s flexibility in integrating AI across large datasets makes it a key player in modern enterprise cloud ecosystems.

The stock is now up 16% year-to-date, reflecting investor confidence in Snowflake’s strategy to stay ahead in the competitive cloud and AI infrastructure market.

UAE Launches Falcon Arabic AI Model as Gulf States Intensify Tech Race

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The United Arab Emirates (UAE) has unveiled Falcon Arabic, a new artificial intelligence (AI) model designed to process and understand the full linguistic diversity of the Arabic language. The announcement marks a strategic step in the Gulf region’s rapidly intensifying pursuit of AI dominance.

Developed by Abu Dhabi’s Advanced Technology Research Council (ATRC), Falcon Arabic is trained on a native Arabic dataset, rather than relying on translated content — a key distinction that positions it as a culturally and linguistically authentic tool for the Arab world.

“Today, AI leadership is not about scale for the sake of scale. It is about making powerful tools useful, usable, and universal,” said Faisal Al Bannai, Secretary General of ATRC.

The model is said to match the performance of others up to ten times its size, making it not only efficient but also more accessible in terms of computing power and deployment.

A Regional Arms Race in AI

The launch comes as Gulf states, particularly the UAE and Saudi Arabia, compete to establish themselves as AI powerhouses. Both countries are investing heavily in research, infrastructure, and partnerships to capitalize on the transformative potential of AI.

The UAE’s advantage lies in its strong ties with the United States. During a recent visit, former U.S. President Donald Trump highlighted a new AI agreement with the UAE that would facilitate its access to advanced AI semiconductors — a critical factor in developing high-performance AI systems.

Alongside Falcon Arabic, the UAE also introduced Falcon H1, a model designed to reduce the high computational and technical barriers typically associated with running large AI systems. ATRC claims it outperforms competitors like Meta and Alibaba, both in power consumption and required expertise.

Saudi Arabia’s Parallel Push

Meanwhile, Saudi Arabia is developing its own Arabic-language AI initiatives. Earlier this month, the kingdom launched a new state-backed company tasked with creating and managing AI infrastructure. It plans to release one of the world’s most powerful multimodal Arabic language models, signaling its ambition to lead in AI not just regionally, but globally.

AI was a dominant theme during Trump’s recent visit to Riyadh as well, reinforcing the strategic priority both countries now place on technology and digital sovereignty.

With the Gulf nations now prioritizing linguistic, cultural, and technological self-sufficiency, Falcon Arabic represents more than a software release — it is part of a larger geopolitical and digital transformation strategy playing out across the region.