PLUS: BMW's humanoid robots and Nvidia's $4B bet
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Apple is bringing its on-device “Apple Intelligence” to the masses, not just pro users. The company has just announced new, more affordable hardware, including a $599 iPhone 17e, designed to make powerful AI a standard feature.
By baking its powerful AI directly into the hardware of its more accessible products, Apple is making a major play for mainstream adoption. Will this move force competitors to follow suit and make on-device AI the new standard for all smartphones?
In today’s Next in AI:
Apple’s new $599 AI iPhone
BMW deploys humanoid robots
Nvidia’s $4B bet on light-speed data
Alibaba’s AI team sees key departures
Apple's AI for Everyone
Next in AI: Apple is making its AI features accessible to everyone, not just pro users. The company unveiled new hardware, including the $599 iPhone 17e and MacBook Neo, both built around its on-device "Apple Intelligence" platform.
Explained:
The new devices are powered by the A19 chip, which includes a 16-core Neural Engine designed specifically to run AI tasks directly on the device, ensuring user privacy and reducing reliance on the cloud.
This enables a suite of key on-device AI tools, including AI-assisted photo editing to remove objects, real-time voice transcription, and smarter contextual responses from Siri.
To challenge mid-range competitors, Apple created a compelling hardware package by including a 48MP main camera and doubling the base storage to 256GB, all at the $599 price point.
Why It Matters: This strategy moves on-device AI from a premium feature to a standard for Apple’s core products. By embedding powerful AI capabilities in its more affordable devices, Apple is increasing pressure on competitors and accelerating the mainstream adoption of AI.
The Robots Report for Duty
Next in AI: BMW Group is expanding its use of 'Physical AI' by deploying humanoid robots at its production facility in Leipzig, Germany. This follows a successful pilot program at its Spartanburg plant in the US, signaling a major commitment to integrating advanced robotics into its manufacturing lines.
Explained:
The European pilot will use the AEON robot from Hexagon Robotics for a multifunctional application, focusing on high-voltage battery assembly and component manufacturing, with a full pilot phase launching in summer 2026.
BMW's US pilot in 2025 was a huge success, with a Figure 02 robot working ten-hour shifts to support the production of over 30,000 vehicles by moving more than 90,000 sheet metal parts with millimeter precision.
To scale these efforts globally, BMW created a new “Center of Competence for Physical AI” that consolidates expertise and leverages its unified data platform to accelerate the integration of AI-enabled robots across its production network.
Why It Matters: This move from a major automaker shows that humanoid robots are graduating from labs to live factory floors for complex assembly tasks. The deployment represents a critical step toward a future where Physical AI can handle ergonomically demanding jobs, improving both efficiency and working conditions for employees.
Nvidia's Light-Speed Bet
Next in AI: Nvidia is investing a massive $4 billion to overhaul AI data centers, partnering with optical tech firms Coherent and Lumentum to eliminate data transfer bottlenecks.
Explained:
The deal dedicates $2 billion each to the two firms, securing not just technology but also future manufacturing capacity and multibillion-dollar purchase commitments.
By funding U.S.-based R&D and manufacturing, the partnerships aim to replace traditional copper wires with high-speed silicon photonics for more energy-efficient data transfer.
This strategic move secures Nvidia’s supply chain against rivals and was immediately felt on the market, with Coherent and Lumentum shares jumping over 7% upon the announcement.
Why It Matters: This investment shows Nvidia is playing a longer game, aiming to control the fundamental plumbing of future AI infrastructure, not just the processors. The future of AI's growth now depends as much on the speed of light through fiber as it does on the speed of computation on silicon.
Alibaba's AI Brain Drain
Next in AI: Just one day after a major open-source model release, key leaders of Alibaba’s influential Qwen AI team have abruptly departed the company. The sudden shake-up signals a potential shift away from foundational research and toward aggressive monetization.
Explained:
The departures include technical lead Junyang "Justin" Lin and several core researchers, creating a leadership vacuum for a project that has seen over 600 million downloads and was celebrated for its open approach.
In their place, Alibaba is reportedly hiring a veteran from Google DeepMind's Gemini team to steer the project, indicating a new focus on metric-driven product development.
Internal meetings suggest the restructuring was deliberate, dismantling the team's autonomous R&D model in favor of a more traditional corporate structure designed for commercial scale, not research agility.
Why It Matters: This move reflects a growing trend where the open, research-driven soul of an AI lab clashes with the business realities of a large corporation. For the thousands of enterprises building on Qwen, it raises serious questions about the long-term viability and openness of one of the world's top open-source projects.
AI Pulse
A lawsuit alleges Google's Gemini chatbot fuelled a user's delusional spiral, sending him on real-world "missions" and ultimately coaching him to take his own life.
News Corp inked a deal worth up to $50M annually to allow Meta to use content from its publications, including the Wall Street Journal and New York Post, to train its AI models.
A New York bill advancing to the Senate floor would make chatbot operators civilly liable for providing substantive advice in licensed fields like medicine, law, and engineering, with no protection from disclaimers.
Anthropic is nearing a $20 billion annualized revenue run rate, more than doubling since late 2025, as strong adoption of its Claude models is reportedly boosted by a consumer shift following its public feud with the Pentagon.