Oura has decided to delay its planned $2.2 billion initial public offering, citing uncertain market conditions. This postponement will impact the company's ability to utilize the capital from the IPO as well as affect its shareholders' plans.

Companies can now develop OpenAI-powered agents that run completely within Amazon Web Services, ensuring their data remains securely inside AWS. This new capability, launched during OpenAI’s DevDay 2026 in San Francisco, is part of the Bedrock Managed Agents offering created by OpenAI in partnership with Amazon. Currently, this product is available in a limited preview, enabling businesses to leverage advanced AI agents without their data ever leaving the AWS environment.

OpenAI hosted its highly anticipated DevDay on September 29th in San Francisco, where CEO Sam Altman presented several major updates. The spotlight was on Dots, OpenAI's new AI agent designed to compete with Meta’s Muse, though Dots will be exclusive to ChatGPT Pro, Business Premium, and Enterprise subscribers. Additionally, OpenAI introduced the GPT-6.1 Sol model, revealed that ChatGPT has reached 1.2 billion weekly active users, and launched a new premium ChatGPT Pro plan priced at $500 per month. This event comes amid growing concerns in the AI industry about security breaches, including hacks involving OpenAI’s own models, sparking discussions about a possible pause in AI progress. Follow our full DevDay 2026 coverage here.

The competition for global business investments is entering a new phase, influenced heavily by artificial intelligence. Traditionally, countries attracted multinationals through low taxes, skilled workforce, stable regulations, excellent infrastructure, and access to global markets, exemplified by Singapore, Switzerland, and Dubai. Now, AI adds a new dimension to this competition, focusing on where advanced AI can be deployed most effectively—factoring in compute infrastructure, data sovereignty, AI governance, and frontier model access. Nations are crafting strategies to become AI hubs: Singapore emphasizes trusted AI deployment with robust governance frameworks; the Gulf offers massive compute capacity and energy infrastructure; China promotes widespread diffusion through open models; Europe leans on regulation with its AI Act; and the U.S. leverages its dominant position in AI technology. Companies must navigate this shifting landscape by spreading AI operations across multiple regions to balance access, control, and regulatory compliance. The evolving AI-driven business map signals that the countries facilitating easy AI deployment will attract the next wave of investment, talent, and innovative growth, reshaping the global economic hubs of the future.

Christopher Nolan’s epic portrayal of Odysseus navigating Poseidon’s wrath mirrors the challenges marketers face with AI assistants. These AI tools follow unpredictable rules, constantly shifting how marketers must adapt their strategies. Recently, those who focused heavily on Reddit due to its prominence in ChatGPT citations faced setbacks when its importance sharply declined, showing the dangers of building strategies around volatile AI trends.

AI search tools like ChatGPT, Perplexity, Google Gemini, and Claude operate in fragmented and often conflicting ways. Attempting to optimize for all means risking alienation from some platforms. Unlike the past when Google dominated search, today’s AI algorithms change unpredictably, rendering efforts obsolete overnight.

The key to navigating this landscape lies in prioritizing your audience. Creating content for human engagement, rather than just to appease AI algorithms, ensures value and longevity. Reddit remains valuable for understanding consumer behavior, as demonstrated by Duolingo, which benefits from user insights rather than AI citations.

Ultimately, fear of falling behind can lead to misguided strategies. Instead, focusing on customer needs, producing unique and original content, and staying attentive to evolving AI trends is the smarter approach. Let the AI platforms innovate around you, not dictate your moves.

At Alturas Capital Partners, advances in generative AI have enabled in-house legal teams to handle lease work traditionally outsourced to outside counsel, delivering significant cost savings and faster turnaround times. This shift threatens some external providers with irrelevance as AI reduces their role, reshaping how firms define their services. While some firms expand their offerings, others lose business to clients adopting AI internally. The pressure on pricing is evident, with major banks recently urging law firms to reduce fees due to AI efficiencies.

Generative AI is lowering costs for producing legal documents, market insights, creative assets, and software, enabling in-house teams to replicate many functions once outsourced. To stay relevant, service providers must not rely solely on expertise but also compete on production cost and ease of delivery.

Providers should focus on three key strategies:

1. Improve Unit Economics: By investing in scalable, automated systems and leveraging proprietary data, firms can produce outputs more cost-effectively than clients can in-house. WPP exemplifies this with its agentic marketing platform and self-serve options that combine data, expertise, and AI tools.

2. Simplify Procurement: Reducing the friction in purchasing services by integrating AI agents that fulfill requests directly within clients’ existing tools makes outsourcing more attractive. Moody’s and law firms like A&O Shearman demonstrate this approach by embedding AI-driven services into clients' workflows.

3. Manage the Operational Burden: Taking on quality control, compliance, and ongoing maintenance costs that clients face if they internalize work strengthens the provider’s value proposition. Thomson Reuters’ CoCounsel Legal product is an example, offering robust, legally vetted AI research that firms cannot easily replicate internally.

Service providers must critically analyze which deliverables are vulnerable to in-house AI production and develop cost-effective, easy-to-access, and low-maintenance offerings. Success lies in making outsourcing cheaper, more convenient, and operationally less burdensome than building internal AI capabilities. While AI challenges traditional expertise, it also raises the bar for providers to innovate and integrate technology with human skills to stay competitive.

Chief Growth Officer Mary Beech shares how collaboration with brand consultancy Redscout harnessed consumer insights to create impactful campaigns and effective communication strategies.

Shopify has enhanced its WebMCP feature to support checkout, enabling AI agents operating in browsers to modify order details and complete purchases with customer approval.

Meta is set to launch a comprehensive enterprise AI platform aimed at businesses and developers. The initiative will integrate Meta's advanced technology stack, including Muse, Meta Business Agent, Muse API, and Muse Code, to enhance AI capabilities across enterprises. The company has brought on board the CEO of MongoDB to spearhead this ambitious project, emphasizing Meta's commitment to innovation and growth in the AI space.

Nvidia's board has authorized an additional $150 billion for share repurchases, bringing the total remaining buyback authorization to $235 billion. The company plans to execute these repurchases through fiscal year 2028. This marks the largest single increase in buyback authorization in history, signaling strong confidence in Nvidia's long-term growth prospects.