Future Bytes

This week’s AI News by Future Bytes covers two stories that reveal where enterprise AI is heading. Major AI providers formed a foundation to set standards for agent communication. OpenAI released GPT-5.2 after an internal “code red”. The focus is shifting from models to orchestration.Top stories this week - cooperation vs. competition: OpenAI, Microsoft, Google, Amazon and others formed the Agentic AI Foundation to create open standards for how AI agents communicate. OpenAI released GPT-5.2, fast-tracked after Google Gemini and Anthropic gained ground, highlighting the limits of benchmark comparisons.

In this episode, host Magnus Oxenwaldt speaks with Romain Fouache, CEO of Akeneo, about how AI is reshaping commerce through product information. It’s a lively and engaging conversation on why PIM is becoming a core business capability, how leaders should think about data trust, and what it takes to stay visible as AI increasingly drives buying decisions.

OpenAI issued a real "code red" as Google and Anthropic closed in. Gemini’s surge and Claude’s gains tightened the race, signalling a maturing market and rising pressure on enterprises.– "Competition is working. Prices are falling. Capabilities are converging. For buyers, that’s the best news possible,” host Magnus Oxenwaldt says,Top stories for week 50:·  OpenAI declared code red as Google and Anthropic closed the gap, forcing Sam Altman to pause multiple upcoming projects.·  Google launched Gemini 3 Pro and its new DeepThink reasoning tier, prompting Geoffrey Hinton to say Google may now overtake OpenAI.·  Anthropic struck a $200M Snowflake partnership and is exploring an IPO, positioning itself as the enterprise AI stack.·  New data shows the enterprise deployment gap widening, with Microsoft missing internal AI sales targets and only 5% of AI projects scaling beyond pilots.·  With GPT, Gemini and Claude converging on benchmarks, enterprise value now hinges more on integration with existing data infrastructure than raw model performance.

Three major AI models launched this week: Google’s Gemini 3, Anthropic’s Claude Opus 4.5, and OpenAI’s GPT-5.1 Codex Max. Each lead in a different area, and the gap between benchmarks and real-world performance is widening. The bigger shift? AI is moving into specialisation across the entire stack. Microsoft is betting on being the orchestration hub. Google is leaning on vertical integration. And the market is fragmenting faster than expected. Top stories this week:Google, Anthropic and OpenAI all launched new models this week, each claiming leadership in a different area. Benchmarks diverge from real-world experience — developers still prefer certain models for how they reason and solve edge cases. AI is shifting toward specialisation: voice, image, coding, and text handled by different best-in-class services. Microsoft positions itself as the orchestration hub with Foundry and its investments in Anthropic and OpenAI. Google’s vertical stack and potential sale of TPU chips to Meta show a market that is fragmenting, not consolidating. 

This week, the EU postponed its core AI rules by sixteen months, pushing them into 2027. But while regulators slowed down, technology accelerated. At the same time, Microsoft and Google introduced tools that let anyone build autonomous agents, automate workflows, and create apps through simple conversation. Hyper-automation moved into the mainstream. Regulation fell even further behind. And enterprises now face a widening governance gap they will have to close themselves.Top stories this week:EU delays high-risk AI rules to 2027–2028, leaving a long regulatory gap.Microsoft and Google push no-code agents mainstream, letting anyone build automations.Hyper-automation accelerates, with agents now able to write and validate their own code.Enterprise adoption spikes: 99% of developers build agents; 40% of big firms deploy them this year.Governance falls behind, forcing companies to build their own internal AI controls.

This week, something unexpected happened. Warren Buffett, the investor who avoided tech hype for 20 years, just bought $4.9 billion worth of Alphabet shares. At the same time: Analysts warn the AI economy may already resemble the dot-com bubble Nvidia is hitting record highs while AI infrastructure spending explodes Most enterprises still report no measurable ROI from AI Sub-prime winner Michael Burry is betting against AI infrastructure companies So, what’s real? A bubble? A breakthrough? Or both at the same time?