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The race to deploy the next wave of AI is hitting a new peak, with the number of companies in full-scale production of agentic AI tripling in just six months, backed by colossal deals like OpenAI's $30 billion contract with Oracle.

While companies rush, Gartner is already predicting that 40% of these agentic AI projects will fail due to soaring costs, unclear value, and poor risk controls.��

Let’s dive in and explore these topics.

News #1: Meta Backs EU-Wide "Digital Majority" Age

Meta has announced its support for a common "digital majority" age across the European Union. This move, proposed by France, Spain, and Greece, would require parental consent for minors to access social media and other digital services, fundamentally changing the landscape of online age verification.

Instead of fighting regulation on a per-app basis, the company is advocating for a broader, ecosystem-level solution. Key points from their stance include:

Universal Application: Any new rules should apply not just to social media, but across the entire digital ecosystem, including gaming, streaming, and messaging services.

App Store-Level Verification: Meta is pushing for age verification to be handled by the app stores (Apple and Google) or at the operating system level. This would create a single, unified signal for a user's age that all apps could use, shifting the primary responsibility away from individual platforms.

Framing the Debate: The company is positioning this as a pro-parental choice measure, arguing that it empowers parents to make decisions, in contrast to government-mandated bans which they claim "take away parental authority."

News #2: The Future of AI Is a "Dream Team," Not a Single Superstar

A breakthrough from Japanese AI lab Sakana AI is set to redefine how businesses build and deploy AI systems. The company has introduced a new technique that allows multiple, diverse large language models to work together as a "dream team" on a single problem, significantly outperforming any individual model.��

This signals a major shift away from relying on a single "best" model toward creating a more powerful collective intelligence. The new method, called Multi-LLM AB-MCTS, intelligently assigns parts of a task to the AI model best suited for it. By combining the coding prowess of one model with the creative strength of another and the logical reasoning of a third, the system achieves results that are impossible for any single model to accomplish alone.

In benchmark tests on notoriously difficult reasoning problems, a team of models from OpenAI, Google, and DeepSeek solved over 30% of the tasks, a massive leap in performance. More impressively, the AI team was able to solve problems that were previously unsolvable by any of the models working individually.

Sakana AI has released this powerful framework as an open-source tool called TreeQuest, making this "dream team" approach accessible for commercial use. For leaders, the message is clear: the future of enterprise AI isn't about finding one perfect model; it's about building the most effective team. Looks similar to traditional team building best practices.

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News #3: The Agentic AI Gamble When Deployment Triples Despite Warnings of Failure

The race to deploy agentic AI has hit a new level of intensity. According to a new KPMG study, the number of large organizations with full-scale agentic AI deployments has tripled in just six months, now standing at roughly one-third of all enterprises. This rapid shift from pilot to production signals that leaders are moving aggressively to capitalize on the technology's promise.

While companies are clearly moving past the experimental phase, a stark warning from Gartner predicts that more than 40% of these agentic AI projects will be canceled by 2027.

There are 3 main reasons for this:escalating costs, unclear business value, inadequate risk controls. Gartner also warns of "agent washing," where vendors rebrand existing, less capable tools as "agentic," further fueling the hype and leading to misapplied technology.

This isn't a signal to stop, but to proceed with extreme clarity. The companies that succeed will be those that can cut through the hype and make the best decisions.

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• OpenAI is reportedly launching a web browser that could threaten Google's ad empire -

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