Yes, Laser is the ultimate communications medium. Physics dictates that transmitting photons through a vacuum offers near-infinite bandwidth with zero latency constraints. But deploying naked lasers on Earth has historically been an exercise in frustration. Atmospheric turbulence, fog, rain, and physical interference forced the industry to wrap light in glass cables or default to the reliable, albeit slower, medium of radio frequencies.For decades, Free Space Optics, or FSO, was dismissed as a fragile science experiment, and, to some extent, the case was officially closed.Laser communications are back, driven by an explosion of technology developments and critical infrastructure needs that were once far from mainstream. Today, lasers are taking over every single layer of the network topology simultaneously, building a seamless architecture from space down to the terrestrial core. In orbit, optical inter-satellite links are creating massive mesh networks in a vacuum to route data globally.

Non-terrestrial networks represent a pivotal transition from theoretical concepts to tangible commercial implementations, as highlighted at MWC 2026. This evolution marks a significant milestone for the telecommunications industry, where satellite and aerial connectivity solutions are increasingly integrated into mainstream business strategies. Industry stakeholders are moving beyond speculative discussions to develop concrete applications and infrastructure investments. The shift reflects growing market demand for expanded network coverage, particularly in underserved regions, and signals renewed corporate commitment to deploying these technologies at scale. This transition underscores the maturation of non-terrestrial network capabilities and their strategic importance in shaping future telecommunications ecosystems and global connectivity solutions.

Direct-to-device satellite connectivity represents a transformative advancement in mobile networks, enabling standard smartphones and IoT devices to connect directly to satellites without specialized hardware. As the industry progresses toward 5G Advanced and 6G, satellite networks are becoming an integral extension of terrestrial infrastructure, delivering seamless coverage across land, sea, and air. The global non-terrestrial network market is projected to reach $138 billion by 2035, driven by demand for uninterrupted connectivity in remote areas and enhanced network resilience. However, realizing D2D connectivity at scale requires addressing complex engineering challenges, including signal attenuation and operational complexities. Despite these hurdles, the technology offers significant commercial opportunities for operators to differentiate services and create hybrid terrestrial-satellite offerings.

This paper presents a comprehensive technical comparison of Direct-to-Cell (D2C) and 3GPP Non-Terrestrial Networks (NTN) technologies for achieving global mobile connectivity. D2C, exemplified by SpaceX Starlink and AST SpaceMobile, offers rapid market deployment using existing terrestrial spectrum and unmodified handsets for emergency coverage. Conversely, 3GPP NTN represents a standardized, satellite-native framework designed for scalability, high-throughput broadband, and seamless integration with terrestrial 5G/6G networks. The analysis examines standardization approaches, network architectures, physical layer innovations, security considerations, and operational trade-offs. The authors conclude that while D2C enables faster market entry with legacy device compatibility, NTN provides superior performance and security. For emerging 6G applications like autonomous driving, a hybrid tri-link architecture combining terrestrial 5G, NTN broadband, and D2C emergency fallback is recommended as the most viable solution for establishing true global connectivity.

This position paper argues for a fundamental shift in 6G AI-RAN architecture, advocating that multimodal Large Language Models should serve as central orchestrating agents rather than relying on fragmented, narrow predictive models. Current AI-RAN systems employ isolated Deep Neural Networks and reinforcement learning agents that suffer from knowledge silos, brittleness to unforeseen conditions, and inability to translate high-level operator directives into network configurations. The authors propose elevating domain-adapted Large Telecom Models as cognitive operating systems within the RAN Intelligent Controller, where they orchestrate specialized models as executable subroutines while leveraging Retrieval-Augmented Generation for autonomous anomaly diagnosis. The paper emphasizes the necessity for foundational research addressing telecommunications-specific constraints, including continuous alignment through network feedback, extreme quantization for edge deployment, and neuro-symbolic verification mechanisms.

This comprehensive review explores the integration of wireless large AI models in the development of sixth-generation telecommunications and beyond. Authored by researchers from leading Chinese institutions and international collaborators, the paper examines how artificial intelligence can fundamentally transform wireless communication systems. The study addresses the convergence of wireless technologies with large-scale AI models, analyzing their potential to enhance network efficiency, capacity, and intelligence. By investigating AI-empowered approaches for next-generation communications, the research provides insights into innovative architectures and methodologies that promise to reshape future wireless infrastructure, enabling more sophisticated network optimization and intelligent resource management capabilities.

The telecom world is split right down the middle over a major spending decision. This is even more polarizing than whether Pizza should have pineapple or if cats are better pets than dogs. The Telco fans are divided!Telcos are trying to figure out whether tomorrow’s radio networks actually need GPUs, or if they can just keep using dedicated ASICs or even the CPU hardware they already have. The decision may seem small, but it has massive consequences across the value chain, vendors, the ecosystem, Capex, and monetization.To understand where people stand, I ran a poll on LinkedIn asking if we actually need GPUs in the RAN to build a future-proof RAN network, or if the standard ASIC/CPU approach is enough. The results showed a clear dividing line. Around 60% said standard ASICs and CPUs are good enough, while 40% feels GPUs are mandatory.

While the telecom sector spent years comfortably looking down on satellite internet as a niche utility for remote cabins, the cold mathematics of orbital infrastructure have been quietly laying the groundwork for an absolute takeover. A recent comprehensive forecast by the analyst firm New Street Research projected that Starlink will scale from its current base of roughly 10.3 million users to a massive 100 million subscribers by 2034. That means capturing nearly 10% of the global fixed broadband market and translating that density into roughly $49 billion to $55 billion in annual top-line revenue.

There is a unicorn startup out of Latin America called NotCo. Their killer product is NotMilk. It is exactly what it sounds like: milk that tastes, pours, and froths exactly like milk. But it takes the cow completely out of the equation.Yes! They removed the friction of the animal, the environmental tax, and the legacy supply chain, yet delivered the exact sensory outcome you want in your morning latte.The telecom industry has the exact same problem.After 150 years of legacy operations, the “telco” part of the equation produces nothing but friction. To be brutally honest, the word itself is tainted. It is universally associated with dropped calls, incomprehensible billing, utility, hidden fees, and hours wasted on hold.But the reality is that today’s operators ( Telco) provide exponentially more value than basic connectivity alone. They are the invisible backbone of the modern digital economy. To survive, the industry needs to remove its own cow from the equation.

Today, video streaming consumes around 70% of network traffic. Naturally, we spent years building infrastructure optimized for humans watching screens, chasing peak download speeds, and fighting buffering.That architecture is about to change dramatically.The 2026 Cisco report reveals a rapid structural shift in how networks are used. AI inference token consumption is growing 10x year over year, and by 2035, inference alone will account for 25% of total network traffic. But this time, the real issue is not volume but the shape of the data.Agentic AI operates autonomously at software speed. An agent executing a task generates up to 450% more traffic than a human would. More importantly, it requires sustained state and upstream capacity, not downstream bursts. Autonomous agents don’t care about gigabit downlink speeds. Their survival relies entirely on Time To First Token (TTFT) and an unbroken connection to the model.If you are still engineering exclusively for downstream consumer video, you are building for the past. Here is the technical reality of the new inference network.

Look at the machine the telecom industry built.It is, without exaggeration, the most complex and astonishing technological achievement in human history. Right now, it seamlessly connects 6 billion human beings and 21 billion machines. It works everywhere, anytime, and almost for free.Engineers designed this infrastructure to operate with 99.999% reliability. Every five years, they completely rebuild it from the ground up just to make it run 10x faster. It keeps the global digital economy breathing across continents, oceans, and concrete.It is an absolute miracle of physics.And the reward?Nobody loves the telco. In fact, the public barely tolerates them. When you look at the cold, hard data, the telecom sector sits at the absolute bottom of global brand loyalty. It ranks below airlines and banks, and is functionally tied to the local tax authority in the hearts of its own consumers.

The SpaceX S-1 filing is their public declaration that the traditional telecommunications business model has entered a terminal phase. By valuing its connectivity segment opportunity against a $1.6 trillion Total Addressable Market, SpaceX is not signaling a partnership with telcos but their replacement, to the fullest extent that physics allows. This transition may not be completed in 12 or 24 months, but the 10-year ambition is clear.Faced with this orbital expansion, the industry is frantically seeking a counterweight, and market sentiment has converged on AST SpaceMobile as the only viable alternative. It is time to examine what AST SpaceMobile brings to the table in terms of its corporate strategy, technological architecture, and partnership framework, and to assess whether it offers telcos a path to maintaining their relevance.

The financial markets are currently parsing the implications of SpaceX’s proposed $1.75tn IPO valuation. While much of the initial retail focus has centered on the company’s interplanetary ambitions, institutional investors are scrutinizing a far more grounded thesis detailed in the May 2026 S-1 filing. The prospectus outlines a strategic pivot from a launch-and-logistics provider to a vertically integrated global telecommunications and compute utility.At 94 times its projected 2025 consolidated revenue of $18.67bn, SpaceX’s valuation represents a significant departure from traditional aerospace and telecommunications multiples. The justification rests on the company’s definition of a staggering $28.5tn Total Addressable Market. By partitioning this TAM into space logistics ($370bn), global connectivity ($1.6tn), and AI infrastructure ($26.5tn), the prospectus argues that the historical separation between the physical transport of data and the compute layer is converging, and the company intends to capture the margins of both.

To appreciate the significance of this development, it is helpful to look back at the previous defining era of telecommunications. In the early 2010s, as smartphones became ubiquitous and app economies exploded, the metric of value for both carriers and consumers shifted dramatically. This was the era of the gigabyte. Subscriptions, usage caps, and pricing tiers were all defined by data consumption. Telcos established the price per gigabyte as their primary billing KPI, monetizing the massive demand for mobile internet, video streaming, and app-based services. For a decade, the “GB per month” was the yardstick of digital life.

This week at the J.P. Morgan Global Technology, Media and Communications Conference, executive leadership from the major U.S. wireless carriers and AST SpaceMobile presented their outlooks on the direct-to-device satellite market. The public consensus among the telecom CEOs framed orbital connectivity as a strictly complementary technology rather than a disruptive threat.Verizon CEO Dan Schulman stated that for the foreseeable future, satellite will remain a complementary service to the carriers. He noted that terrestrial capacity is 100 to 1,000 times more efficient than satellite in urban and suburban areas. T-Mobile CEO Srinivasan Gopalan doubled down on this view, noting that satellite traffic currently accounts for just 0.0002% of T-Mobile’s total network usage. Gopalan also dismissed the potential threat of a D2D provider launching an MVNO to compete directly with carriers, arguing that it would not add incremental total addressable market. AT&T CEO John Stankey similarly described satellite as a natural extension of the network, acknowledging it currently handles a small percentage of total network traffic.

Look at the image above. On the left is your current human subscriber. For the last two decades, you have sold them GBs per month, fought over marginal ARPU increases, and watched every single app try to commoditize your network. That race to the bottom didn’t end up really well.On the right is your brand-new customer.Figure just ran a live drill in which a human intern competed against its Figure 03 humanoid, “Bob,” to see who could sort and categorize more packages. The result? The human lost the moment they had to step away to go to the bathroom. F.03 just kept working.

All ESP32 (and some ESP8266) devices can make use of at least one type of mesh network to communicate, peer-to-peer, without the need for a centralized “router.” Others can be used to interface with existing smart homes, communicate over long distances, or take advantage of low-latency data transfer in useful projects that are fun to make.

As I have consistently discussed, the sudden explosion of thousands of autonomous, AI-powered voice applications has pushed Twilio’s orchestration platform into the center stage of the Inference Economy.Honestly, it feels almost stupid that a historically high-latency, expensive, frequently untested, and spam-ridden legacy voice channel like Twilio VOIP is fundamentally beating the global telecom operators who have literally owned and operated this infrastructure for 150 years.Unfortunately, this is just a damning reflection of how little the telecom establishment understands about AI economics. How many times can a single industry lose its core service to outsiders?"

If I were a Tier-1 Telco executive today, I would be deeply concerned about the long-term revenue damage Starlink will inflict. And yes, it will inflict damage, because you don’t plan for tens of thousands of satellites in orbit just to rescue a few stranded hikers on Mount Everest. That is the truth, whether the industry admits it out loud or not.But trying to block Musk, or believing he will passively accept his fate as a submissive 3GPP radio vendor, is an absolute delusion. Forming a defensive cartel to isolate SpaceX does two highly dangerous things for legacy carriers. First, it moves the attention from the Real Problem, which is Earthbound CapEx and Flat Revenue, and secondly, It Wakes a Dragon and Triggers Asymmetric Retaliation.

The military is moving from communications as a support function to communications as an operating layer. In the older model, networks connected headquarters, bases, command rooms, ships, vehicles, and troops. In the new model, networks connect drones, sensors, logistics systems, cyber platforms, autonomous vehicles, cloud environments, AI models, identity systems, command software, and industrial supply chains. The network is no longer outside the mission; it is now inside the mission.