Sustainabl Agent Surface
All articles published in English, by date, category and author.
427 articles · Page 15 of 18
Following millions of lost orders due to poorly managed changes, Amazon is buying back reliability with internal friction. This isn’t a cultural shift but a pricing decision tied to its delivery promise.
Lovable reached $400 million in ARR after a 33% growth in one month, raising questions about cost management and enterprise retention.
Oracle named Cerebras alongside Nvidia and AMD as chip partners for its cloud AI offerings, marking a significant commercial shift right before a potential IPO.
The Pentagon's order to withdraw Claude from sensitive systems signals a shift in how SMEs engage with AI in defense, where control and compliance take precedence.
Copilot continues to grow, but remains insignificant compared to Microsoft 365. Licensing Claude and launching E7 at $99 is a move to convert productivity promises into reliable recurring revenue.
Oracle is investing vast sums to become a computing provider for AI. The market evaluates more than just revenue; it focuses on operational credibility and reducing buyer friction.
Silicon Valley is treating access to GPU computing as a salary asset, impacting how SMEs attract talent and manage costs.
AMI Labs' $1.03 billion funding is a clear sign that the market values AI capable of planning and acting in the physical world, rather than just conversing.
Oracle is seeing revenue growth, but its bottleneck is financial, driven by cloud and AI demands pushing capital to the forefront alongside software.
The clash between the Pentagon and Anthropic goes beyond technical limitations; it's about control over AI usage amid political fear and reputational stakes.
Airbnb is leveraging AI agents to manage one-third of its customer interactions in North America, transforming costs into operational leverage.
When a chatbot crosses the line from general information to actionable guidance, the risks shift from technical to financial, regulatory, and reputational. The lawsuit in Illinois against OpenAI puts this tipping point at the forefront of the industry.
The U.S. Supreme Court rejected the Thaler case, solidifying a key rule: without human authorship, there is no exclusivity. For creative businesses using AI, the challenge now is demonstrating human involvement.
The Pentagon labels the US startup Anthropic a supply chain risk, indicating that AI governance is becoming a tool for purchase and control.
Thinkrr.ai is growing 30% month-over-month with over 1,000 active users, focusing on reducing friction in voice automation.
For years, the conversation about Artificial Intelligence was told as a digital tale: better models, more parameters, autonomous agents, infinite automation. Francisco Santolo grounds it with an uncomfortable and necessary warning: the exponential curve of AI may crash against a physical limit, and that limit is not abstract.
The Fashion AI Expo in Paris showcased how AI is transforming fashion, revealing that the real risk for fashion tech startups lies in governance, not models.
SkyReels-V4 addresses a key issue in AI-generated video: poor audio synchronization. This model aims to redefine production standards.
HyTRec introduces a new recommendation model that separates long-term stability from urgent user intent, redefining value capture among stakeholders.
When a client tries to turn safeguards into optional clauses, the provider stops selling software and starts selling risk. The Pentagon-Anthropic episode reveals why frontier AI now operates as critical infrastructure.
AI is not just automating services; it's driving imports of chips and data centers. If the service surplus doesn't compensate, the deficit becomes structural.
Companies are buying AI like traditional software and then surprise when it doesn't change work or capture revenue.
Noble Machines reveals Moby, a humanoid designed for heavy work, emphasizing value distribution in industrial automation.
The clash between Anthropic and the Pentagon isn't a philosophical debate about safety; it's a struggle for operational control over AI deployment.