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MWC 2026 Keynote 11: Rewriting the Playbook

MWC 2026 Keynotes
Live Streaming on Wed, 4 Mar at 12:00 - 13:00 CET
What does it take to truly challenge the status quo and redefine what is possible? In this keynote, we sit down with three visionary leaders who are harnessing deeply disruptive technologies to reshape industries and reimagine how we work, create, and play. From the future of sustainable connectivity in the AI era to the reinvention of professional services and the rise of new forms of digital companionship and entertainment, this session explores how bold ideas become real-world systems. Join us to hear their stories, their lessons, and their visions for a future transformed by imagination, scale, and ambition.

OpenAI AI Devices: Multimodal Hardware Roadmap

OpenAI AI Devices: Multimodal Hardware Roadmap
OpenAI is reportedly building a portfolio of AI-native devices, signaling a push beyond software and into ambient, multimodal computing that will touch homes, workplaces, and networks. Multiple reports indicate OpenAI has over 200 people developing a family of AI-enabled hardware, with a smart speaker expected to debut first. Early guidance points to a price in the $200–$300 range and a ship window no earlier than February 2027. The device is said to include a camera to capture contextual information about users and surroundings—an explicit bet on multimodal AI that fuses voice, vision, and environment for richer interactions.

India AI infrastructure investment: $200B bid by 2028

India AI infrastructure investment: $200B bid by 2028
India is moving to anchor a larger slice of global AI compute by pairing policy incentives with large-scale private capital and renewable power. New Delhi has outlined plans to attract more than $200 billion for AI infrastructure over the next two years, positioning the country as a production base for compute, data, and advanced applications rather than a pure consumer market. The policy stack aims to reduce friction for export-oriented AI services while widening access to shared compute for startups and enterprises. Adani Group plans to invest $100 billion through 2035 to build renewable-powered, AI-optimized data centers across India.

Anthropic $30B Series G: Enterprise AI at $380B

Anthropic $30B Series G: Enterprise AI at $380B
Anthropic’s latest financing round resets the competitive map for enterprise AI and raises the stakes for telecom, cloud, and large-scale IT buyers planning agentic automation. Anthropic closed a $30 billion Series G at a $380 billion post-money valuation, led by GIC and Coatue with participation from D. E. Shaw Ventures, Dragoneer, Founders Fund, ICONIQ, and MGX, alongside a broad cohort that includes Accel, General Catalyst, Jane Street, and the Qatar Investment Authority. The raise follows sustained commercial momentum and arrives as competitive intensity with OpenAI deepens, signaling that AI platform consolidation and scale economics will define the next phase of the market.

OpenAI Frontier: Enterprise AI Agent Management

OpenAI Frontier: Enterprise AI Agent Management
OpenAI introduced Frontier as an enterprise platform to build, govern, and monitor AI agents—positioning agent management as core infrastructure rather than a feature. Frontier is an end-to-end platform for creating and managing AI agents that can connect to external data and applications, execute tasks, and operate under enterprise controls. OpenAI is emphasizing an open architecture: organizations can manage agents built on Frontier and agents constructed with third-party frameworks.

SpaceX xAI merger: beyond space data centers

SpaceX xAI merger: beyond space data centers
The merger creates a $1.25 trillion private giant that fuses launch, satellites, and AI, but the strategic logic goes beyond orbiting data centers. SpaceX brings rockets, Starship scale, and the world’s largest NGSO broadband network via Starlink. xAI brings models, AI R&D, and a brand in the hottest capital market category. Together, they present a single story to investors: own the stack from compute to constellation to connectivity, on and off Earth. Consolidation gives Musk freedom to reallocate cash flows and simplifies the roadshow pitch.

Nvidia OpenAI investment: Huang rejects $100B stall

Nvidia OpenAI investment: Huang rejects $100B stall
Nvidia’s CEO is publicly reaffirming confidence in OpenAI even as reports suggest the companies may narrow the scope of an ambitious, nonbinding plan announced last fall. During a visit to Taipei, Nvidia CEO Jensen Huang dismissed talk of friction with OpenAI and said Nvidia will participate in OpenAI’s next funding round. Recent reporting suggested Nvidia has emphasized the nonbinding nature of its plan to invest up to $100 billion and build roughly 10 GW of compute for OpenAI, and that both parties are re-examining scope and terms.

Apple buys Q.ai to advance AI wearables

Apple buys Q.ai to advance AI wearables
Apple’s purchase of Israeli start-up Q.ai accelerates its shift toward multimodal, audio-first wearables and tighter on-device AI. Apple acquired Q.ai, a Tel Aviv-based AI company operating in stealth since 2022, in a transaction reported around $2 billion, making it Apple’s second-largest acquisition after Beats. The move lands as Apple pushes a broader AI refresh across devices and services, including a reworked Siri due next month and a reported integration of Google’s Gemini into Apple Foundation Models. The core value is a human-computer interface designed to reduce friction between intent and AI execution. This enables “silent speech” and context awareness without overt voice commands or touch.

Google AI Plus under $5 in India vs ChatGPT Go

Google AI Plus under $5 in India vs ChatGPT Go
Google has introduced a sharply priced AI Plus subscription in India to push generative AI into the mass market and counter OpenAI’s ChatGPT Go. The AI Plus plan launches at ₹199 per month for new users for six months, then moves to ₹399 per month. The bundle raises usage limits for Gemini 3 Pro, unlocks video generation within Google’s apps, expands NotebookLM’s “deep research” capabilities, and adds 200GB of storage across Google Photos, Drive, and Gmail. Family sharing is included, signaling a household-centric growth strategy.

Disney’s $1B OpenAI Deal

Disney’s $1B OpenAI Deal
Disney will invest $1 billion in OpenAI and become Sora’s first major content licensing partner, enabling fans to generate and share short videos that feature more than 200 characters and environments from Disney, Pixar, Marvel, and Star Wars. The agreement spans three years, excludes actor likenesses and voices, and extends to ChatGPT Images for IP‑compliant image generation. Disney will adopt OpenAI APIs across products and operations, including features for Disney+ and employee productivity, and may showcase select user creations on its streaming service. This agreement formalizes licensed synthetic media at scale and accelerates the convergence of UGC, premium IP, and AI tooling.

SoftBank–DigitalBridge: AI Data Center Power Advantage

SoftBank–DigitalBridge: AI Data Center Power Advantage
A potential take‑private of DigitalBridge by SoftBank would concentrate capital, power, and build capability at the precise chokepoints of the AI and telecom stack. The center of gravity in AI infrastructure has moved from buildings and GPUs to grid access, entitlements, and construction lead time. DigitalBridge controls rights to roughly 21 GW of power across its global portfolio—effectively a banked inventory of megawatts that can be turned into contracted capacity faster than new entrants can clear interconnection queues or procure transformers. This transaction is fundamentally about compressing multi‑year build timelines for AI factories into quarters.

Federal AI Order to Preempt State Laws

Federal AI Order to Preempt State Laws
The administration plans an executive order to set a single national AI rulebook and override state-level frameworks, a move with immediate implications for telecom, cloud, and enterprise AI strategies. President Trump signaled he will sign an executive order establishing a uniform federal approach to AI governance that preempts state regulations. Reports indicate the order aims to reduce compliance friction by replacing diverse state rules with a lighter-touch national framework focused on competitiveness. State officials from both parties, safety advocates, and labor groups are preparing to fight the order, citing risks related to consumer harm, deepfakes, hiring bias, and child safety. On the other side, Silicon Valley leaders warn that 50-state compliance regimes could deter innovation and blunt national competitiveness.
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