Big AI News from Meta, Microsoft, OpenAI, DeepSeek, Huawei

There were some potentially seismic shifts in the global AI landscape this week - Meta released a genAI to challenge ChatGPT, Microsoft's Work Trend Index was published and China continues its pledge for AI supremacy

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Published: May 2, 2025

Luke Williams

While politicians trade barbs and economists debate recession fears, the real power struggle is happening in AI labs and boardrooms.

This week’s developments show how tech titans are battling for supremacy in the intelligence race.

Microsoft Bets on “Agent Bosses” as the Future of Work

Microsoft’s 2025 Work Trend Index reveals a changing workplace where employees become “agent bosses” managing AI teams.

The data shows a stark reality: 80% of workers lack time and energy while leaders desperately need productivity boosts. Their three-phase evolution transforms organizations from simple AI assistance to fully “human-led, agent-operated” workflows where people set direction and AI executes.

To make this vision reality, they’ve unleashed reasoning agents that can tackle complex research projects and transform raw data like digital employees.

Meta Debuts LlamaCon with More Determination Than Dazzle

Meta’s inaugural developer conference LlamaCon showcased big AI ambitions.

The headliners included a standalone Meta AI app, a Llama API preview, and faster inference partnerships with Cerebras and Groq. During the event, Mark Zuckerberg made his strategy crystal clear, viewing any AI lab that makes its models openly available as allies “in the battle against closed model providers.”

The CEO emphasized that

…part of the value around open source is that you can mix and match…This is part of how I think open source basically passes in quality all the closed source [models]… It feels like sort of an unstoppable momentum.

While Meta may not be leading in model capabilities, its approach offers compelling advantages, including testing its first custom-designed chip for training AI models.

OpenAI’s Deep Research Goes Budget-Friendly (Sort Of)

OpenAI is democratizing its elite research tool – but with limits. The newly released “lightweight” version is powered by OpenAI’s O4-mini model, described as “nearly as intelligent as the Deep Research people know and love, while being significantly cheaper to serve.”

Free users receive five monthly queries that take 5-10 minutes to complete instead of the full version’s 30-minute processing time. While still keeping the full experience behind a paywall, this strategic move counters Google’s Gemini and gives enterprises more flexible research options. Free users get to taste the premium experience, but with a monthly ration that ensures they’ll still covet the paid tiers.

DeepSeek Makes AI Intelligence More Public

Away from the tech giants, DeepSeek is gaining attention as the reasoning-focused alternative to corporate AIs. Rather than just retrieving information, it tries to understand questions and think through answers by comparing sources and constructing logical arguments.

As OpenAI’s ecosystem becomes increasingly walled, DeepSeek’s apparent open-source direction offers developers freedom to modify and build without corporate gatekeeping – potentially shifting the balance of power in AI development.

Huawei Defies US Sanctions with NVIDIA Challenger

The silicon cold war intensifies as Huawei prepares its Ascend 910D processor. The Chinese tech giant claims its latest chip outperforms NVIDIA’s industry-leading H100, targeting domestic tech firms as US restrictions costs NVIDIA company billions in lost sales.

As NVIDIA shifts manufacturing to American soil with a massive $500 billion commitment to build AI infrastructure in the United States, CEO Jensen Huang explained:

The engines of the world’s AI infrastructure are being built in the United States for the first time. Adding American manufacturing helps us better meet the incredible and growing demand for AI chips and supercomputers, strengthens our supply chain and boosts our resiliency.

This technological rivalry highlights the fragmenting global tech landscape, with organizations now navigating different AI hardware ecosystems divided by geopolitical boundaries.

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