Imagine walking through the snowy streets of Davos, Switzerland, where world leaders typically debate climate change and global poverty. This year, something different happened: the conversation was dominated by artificial intelligence CEOs discussing trade policy, warning about AI bubbles, and reshaping what was once a traditional economic forum into what felt like a tech conference. But this shift isn’t just happening in European mountain resorts – it’s part of a larger global transformation where AI is reshaping business landscapes from Silicon Valley to New Delhi.
The Davos Transformation
According to TechCrunch’s Equity podcast, the World Economic Forum’s annual meeting in Davos felt fundamentally different this year. AI dominated conversations to such an extent that traditional topics like climate change and global poverty took a backseat. CEOs weren’t holding back – there was public criticism of trade policy, warnings about AI bubbles popping, and intense discussions about what comes next for the industry. This transformation wasn’t subtle: Meta and Salesforce took over storefronts on the main promenade, signaling a corporate presence that felt more like Silicon Valley than Switzerland.
The Startup Paradox
While CEOs debated in Davos, back in Silicon Valley, a startup called Humans& raised a staggering $480 million seed round without having a product on the market. Founded by alumni from Anthropic, Google, and xAI, the company has a vision for “social intelligence” AI that focuses on coordination rather than just information retrieval. As co-founder Andi Peng noted, “It feels like we’re ending the first paradigm of scaling, where question-answering models were trained to be very smart at particular verticals, and now we’re entering what we believe to be the second wave of adoption where the average consumer or user is trying to figure out what to do with all these things.” This massive funding round for a pre-product startup raises questions about whether we’re seeing visionary investment or dangerous speculation.
The India Gambit
As Davos conversations echoed through European halls, another significant development was unfolding halfway across the world. OpenAI CEO Sam Altman is planning to visit India in mid-February, his first visit to the country in nearly a year, as New Delhi prepares to host the India AI Impact Summit 2026. The summit is expected to draw top executives from Meta, Google, and Anthropic, with Nvidia CEO Jensen Huang and Google CEO Sundar Pichai already confirmed attendees.
India has emerged as ChatGPT’s biggest market by downloads and second-largest by users, making it a critical growth market for American AI companies. In recent months, Anthropic announced an office in Bengaluru and named former Microsoft India managing director Irina Ghose as its local head, while Google and Perplexity have struck partnerships with Indian telecom giants to bundle premium AI subscriptions for millions of users.
The Corporate Chess Game
Behind the scenes, corporate strategies are becoming increasingly complex. Microsoft is reportedly testing Anthropic’s Claude Code development tool with thousands of employees, including teams working on Windows and Microsoft 365. This is particularly notable because Microsoft has its own AI coding tool, GitHub Copilot, developed in partnership with OpenAI. According to reports, Microsoft and Anthropic have a special agreement where Anthropic is obligated to use $30 billion worth of Microsoft’s Azure cloud computing capacity, while Microsoft offsets the costs of using Anthropic’s models against Anthropic’s Azure usage quotas.
The Advertising Dilemma
As AI companies expand globally, they’re also grappling with fundamental business model questions. OpenAI’s move to introduce search-like ads to ChatGPT has sparked debate within the industry. Google DeepMind CEO Demis Hassabis expressed surprise at OpenAI’s early move, stating, “I’m a little bit surprised they’ve moved so early into that… But in the realm of assistants, and if you think of the chatbot as an assistant that’s meant to be helpful… there is a question about how ads fit into that model? You want to have trust in your assistant, so how does that work?”
The Quality Conundrum
Amid this rapid expansion, a more subtle but potentially more dangerous problem is emerging: AI models are increasingly being trained on AI-generated content, leading to what experts call “model collapse” where outputs drift from reality. Gartner predicts that 50% of organizations will adopt zero-trust data governance by 2028 to combat this issue. As IBM distinguished engineer Phaedra Boinodiris notes, “Just having the data is not enough. Understanding the context and the relationships of the data is key. This is why you need to have an interdisciplinary approach to who gets to decide what data is correct.”
The Regulatory Tightrope
Companies are also navigating increasingly complex regulatory environments. Meta recently paused teen access to its AI characters globally as it develops a specially tailored version, responding to growing concerns about youth protection. This move comes as social media companies face heightened scrutiny from regulators worldwide, with multiple cases addressing issues from teen mental health to social media addiction.
The Infrastructure Challenge
Looking ahead, infrastructure limitations could shape the next phase of AI development. India’s data-center ambitions face constraints including uneven power availability, high energy costs, and water scarcity in several regions – factors that could slow the build-out of AI infrastructure and raise operating costs for cloud providers. Despite these challenges, the Indian government hopes the upcoming summit will attract as much as $100 billion in investment while pushing domestic startups to build smaller models for local use cases.
What emerges from this global picture is a complex tapestry of opportunity and risk. From Davos boardrooms to Indian tech hubs, AI is reshaping not just technology but global business dynamics, investment patterns, and regulatory frameworks. The question isn’t whether AI will transform business – it already is. The real question is whether companies can navigate this transformation without losing sight of quality, ethics, and sustainable growth in their rush to capture new markets and revenue streams.