Over four days, Davos 2026 did not seek to announce the next grand technological or economic narrative. It acknowledged something more fundamental: the world has entered a phase of lasting constraints, and we must now learn how to govern, invest, and innovate within those limits. Artificial intelligence is the most striking example. It is everywhere
At the beginning of 2026, AI-assisted development has moved beyond being a tooling topic to become a lever of systemic competitiveness. The rapid rise of Anthropic with Claude and OpenAI with GPT-5.2 has clarified the landscape: technical teams now operate with de facto standards. Environments such as Cursor or Windsurf are redefining individual and collective
Generative AI was not just the most discussed digital topic of 2025; it became one of the fastest-scaling usage layers ever observed across mobile ecosystems. With applications such as ChatGPT and Google Gemini approaching a combined 4 billion downloads, $4.8 billion in in-app purchase revenue, and 43 billion hours of usage, Generative AI has crossed
From Cloud-Centric AI to Edge Reality With Exynos, Samsung is no longer positioning itself as a simple mobile SoC vendor. The company is building a full on-device generative AI platform, designed to move intelligence out of centralized cloud environments and into end-user devices. This shift directly addresses challenges familiar to telecom and infrastructure professionals: latency,
Meta Connect has become the must-attend event for the XR industry. This year’s edition confirmed Meta’s ambition to accelerate in smart glasses with the launch of Ray-Ban Meta Gen 2. These glasses are no longer just a lifestyle gadget — they are stepping closer to permanent AI assistance. A significant generational leap Key upgrades include:
For a decade, cloud-first meant public cloud. But in 2025, the paradigm has shifted. Enterprises worldwide are rebalancing their strategies, placing the private cloud back at the center of hybrid infrastructures. The reasons are clear: security, cost control, and data sovereignty have become non-negotiable. In this exclusive Quick Note, we break down the latest trends
While headlines focus on sovereign GPU clouds, AI-RAN, or LLMs optimized for telecom networks, two critical dimensions often remain in the background of telco AI strategies: data governance and regulation, and the building of vertical AI ecosystems. These two pillars are essential to turn AI into a sustainable competitive advantage. Data Governance, Regulation & “AI
Transforming Uncertainty into Opportunity As the telecommunications landscape undergoes unprecedented transformation, your ability to anticipate and adapt will determine your future success. The innovations presented at the Mobile World Congress aren’t merely ephemeral trends – they represent the foundations upon which our industry’s future will be built, directly affecting the valuation, management, and optimization of
Generative AI is experiencing explosive growth, driven by major players like OpenAI and emerging competitors. According to a recent Cloudflare analysis, traffic to generative AI services has surged by 251% in one year, reflecting widespread global adoption. This surge is not limited to AI platforms alone—mobile operators are also feeling the impact, facing skyrocketing network
The Mobile World Congress in Barcelona is approaching, and I’ll be there all week with numerous meetings. Key topics this year include #Sustainability & ESG, 5G Advanced, RedCap, AI & Telecoms, Edge Computing & Cloud AI, OpenRAN, and Network APIs. One particularly impactful topic, closely tied to AI in our phones and telecom infrastructure, will