Interactive Brokers Expands Autonomous AI Trading to 3,000 Customers

Interactive Brokers reported Q3 2026 earnings of $0.67 per share on revenues of $1.87 billion, with net interest income up 19% to $1.15 billion and customer accounts reaching 5.58 million, a 35% increase. The company expanded its autonomous AI trading platform, inviting roughly 3,000 customers to participate, and raised its dividend while pursuing registered investment adviser opportunities.

In the AI infrastructure space, Akamai Technologies secured over $2.8 billion in cloud commitments and expects cloud revenue growth of at least 50% in 2026. Arista Networks reported more than 100 AI fabric customers and projects AI revenue of at least $3.6 billion this year. Both companies face rising costs and intensifying competition as they scale AI-related services.

BigBear.ai is expanding its defense technology footprint through its Ask Sage AI platform and ConductorOS autonomous systems software, winning a Naval Air Systems Command contract and over 20 contracts in Q2 2026. Backlog grew 9% to $269.6 million and quarterly revenue rose 13% to $36.7 million, with management identifying more than $70 billion in proposed U.S. spending on drone and counter-drone technologies.

Key Takeaways

  • Interactive Brokers expanded its autonomous AI trading platform to about 3,000 customers while reporting Q3 2026 revenue of $1.87 billion
  • Akamai expects cloud revenue growth of at least 50% in 2026 with over $2.8 billion in commitments
  • Arista projects AI revenue of at least $3.6 billion in 2026 across 100-plus AI fabric customers
  • BigBear.ai backlog rose 9% to $269.6 million as defense AI contracts grow
  • Rubrik launched Code Guardian powered by Anthropic's Claude Mythos 5 to detect software vulnerabilities
  • NVIDIA RTX Spark delivers up to 4.6x faster coding agent performance versus Intel Panther Lake
  • OpenAI fixed a skill security flaw that exposed AI supply chain risks after researchers found data sent to a fake domain
  • Family offices participated in $68.3 billion in AI and tech deals in Q3 2026, led by Databricks and Mistral AI mega-rounds
  • A new report warns the AI bubble could trigger an economy-wide crisis due to circular debt financing
  • Southeast Asia shows strong AI potential in physical AI, manufacturing, and fintech, says Raisewell Ventures

IBKR Reports Q3 2026 Earnings and Expands AI Trading

Interactive Brokers reported Q3 2026 earnings of $0.67 per share and revenues of $1.87 billion. Net interest income rose 19% to $1.15 billion, and customer accounts grew 35% to 5.58 million. The company expanded its autonomous AI trading platform, inviting about 3,000 customers so far. IBKR also raised its dividend and is targeting registered investment adviser opportunities.

AKAM and ANET Compete in AI Infrastructure Growth

Akamai Technologies and Arista Networks are both growing in the AI infrastructure space. Akamai secured over $2.8 billion in cloud commitments and expects cloud revenue to grow at least 50% in 2026. Arista reported over 100 AI fabric customers and expects AI revenue of at least $3.6 billion in 2026. Both companies face rising costs and competition as they expand AI-related services.

BigBear.ai Expands in Defense AI With New Contracts

BigBear.ai is growing in defense technology through its Ask Sage AI platform and ConductorOS autonomous systems software. The company won a Naval Air Systems Command contract and more than 20 contracts in Q2 2026. Backlog rose 9% to $269.6 million, and quarterly revenue increased 13% to $36.7 million. Management identified over $70 billion in proposed U.S. spending on drone and counter-drone technologies.

Rubrik Expands AI Security Alliance With Code Guardian

Rubrik expanded its Project Hourglass AI security alliance by launching Rubrik Code Guardian, powered by Anthropic's Claude Mythos 5. The new offering helps find software vulnerabilities before production. Partners AHEAD, Trace3 and World Wide Technology joined the alliance. Rubrik said 86% of leaders expect AI agents to outpace security measures within a year.

Researchers Propose DGS-WM for Language Agent Training

Researchers introduced DGS-WM, a Decision-Guided Selective World Modeling method for language agents. The approach uses reinforcement learning with focused world modeling to improve how agents understand actions and environments. It filters observations based on decision value and adjusts supervision strength using confidence levels. Tests showed improved performance across question answering and interactive web tasks.

Southeast Asia has strong AI opportunities says venture capitalist

Jeep Kline from Raisewell Ventures says Southeast Asia is not falling behind in the AI race. The region has strong potential in physical AI, manufacturing and fintech. She says it needs more access to experienced investors and capital. Her firm connects regional entrepreneurs with Silicon Valley investors.

Fashion industry embraces AI tech despite backlash concerns

Fashion influencers and designers are accepting gifts and sponsored deals from tech companies like Meta and OpenAI. Meta Glasses use AI to suggest outfits and appeared at Vogue World in Milan alongside robots. Some in fashion now question the ethics of these partnerships with Big Tech.

NVIDIA RTX Spark lets developers code test and deploy on one machine

NVIDIA RTX Spark laptops and desktops let developers complete their full workflow on a single machine. Powered by Grace CPU and Blackwell GPU, the devices deliver up to 4.6x faster performance on coding agents compared with Intel Panther Lake. They support Windows and Windows Subsystem for Linux and can run models like Qwen 3.8 Flash Next locally.

OpenAI skill flaw exposes AI supply chain security risks

Researchers found that an official OpenAI skill directed apps to send data to a fake domain called render-internal.com. AIR Security researchers registered the domain and found real apps were already sending tokens to it. OpenAI and Render fixed the issue in mid-August. The incident highlights risks in trusting official AI skills.

CASTON study uses embeddings and LLMs to refine ontology

Researchers studied CASTON, a casting-domain ontology, to fix subsumption errors in knowledge hierarchies. They used a fine-tuned OnT embedding model with Qwen3-8B to suggest repairs. In expert evaluation, all six high-confidence fixes were accepted by domain experts. The method offers a lightweight and scalable approach to ontology refinement.

Family offices invest $68.3B in AI and RIA deals in Q3 2026

Family offices took part in 342 company transactions totaling $68.3 billion in Q3 2026. Technology and AI sectors led deal volume, with mega-rounds from Blue Origin, Databricks, Mistral AI, and The Boring Company shaping the average deal size. Healthcare, defense, energy, and real estate also drew significant family office capital across 319 companies. a16z Perennial led in transaction count while Wealth Enhancement Advisory Services completed 11 RIA acquisitions, reflecting accelerating wealth management consolidation.

Report warns AI bubble could trigger an economy-wide crisis

The Open Markets Institute and Americans for Financial Reform released a report highlighting serious risks in the growing AI bubble. The report warns that circular financing arrangements, where companies use debt to fund AI investments, could spiral into an economy-wide crisis. It also points to mounting risky debt and increased stock market exposure to AI-related failures. The report calls on policymakers to implement regulations for greater transparency and accountability to protect ordinary people's finances from a potential AI crash.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Trading Platform AI Infrastructure AI Defense Technology AI Contracts AI Software Vulnerabilities AI Coding Agents AI Supply Chain Risks AI Deals AI Bubble AI Economy AI Physical AI AI Manufacturing AI Fintech AI Expansion AI Competition AI Revenue Growth AI Customer Accounts AI Cloud Commitments AI Fabric Customers AI Backlog Growth

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