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_Welcome

Welcome to today's edition of AI Business Weekly. From Anthropic's staggering $50 billion infrastructure commitment to a one-person company staffed entirely by AI agents, today's stories reveal an industry hurtling past bubble concerns toward an agent-driven future. While skeptics question valuations and communities grapple with soaring electricity bills, capital continues flooding into AI at breathtaking speed. Wonderful's $100 million Series A just four months after seed funding, CoLab's $101 million CAD raise, and Microsoft's "massive supercomputer" spanning two states all signal relentless momentum. As Canada reinforces its AI infrastructure ambitions and one entrepreneur attempts to build a billion-dollar company with only AI employees, we're witnessing the collision of audacious vision, relentless capital deployment, and the messy reality of transforming speculation into operational infrastructure. Let's dive in.

Anthropic and Microsoft Announce New AI Data Center Projects as Industry's Construction Push Continues

Artificial intelligence company Anthropic announced a $50 billion investment in computing infrastructure on Wednesday that will include new data centers in Texas and New York, while Microsoft simultaneously unveiled a new data center under construction in Atlanta, Georgia, connected to another in Wisconsin to form a "massive supercomputer" running on hundreds of thousands of Nvidia chips. The dual announcements underscore the tech industry's unwavering commitment to building energy-intensive AI infrastructure despite mounting concerns about market bubbles, environmental impact, and the political fallout from rapidly rising electricity bills in host communities. The scale of these investments signals that major players are willing to bet enormous sums on AI's long-term trajectory regardless of near-term market volatility or local resistance. Read more

Canada Doubles Down on AI Infrastructure Amid Global Competition

Canada is reinforcing its commitment to AI infrastructure investment as global competition for technological leadership intensifies, with Ottawa making substantial public investments in AI capabilities. Media consultant Mohit Rajhans notes that while AI initially faced backlash in industries like Hollywood, the entertainment sector now appears to be embracing the technology, reflecting a broader shift from resistance to adoption across creative and technical fields. The Canadian government's continued AI infrastructure push positions the country to maintain its research leadership while competing with far larger economies like the United States and China in the race to build foundational AI capabilities. Read more

All of My Employees Are AI Agents, and So Are My Executives

Sam Altman's prediction of the "one-person billion-dollar company" is being put to the test as one entrepreneur attempts to build an entire organization staffed exclusively by AI agents, including executives. The experimental venture reveals both the promise and current limitations of AI agents, with the founder noting challenges including agents that "won't shut up and keep lying," highlighting the gap between vision and execution in agent-based operations. The experiment represents a fascinating real-world stress test of whether AI agents can truly replace human colleagues across organizational functions, or whether current limitations in reliability and judgment make such ventures premature despite rapid technological progress. Read more

CoLab Cashes in on AI Demand with $72-Million USD Funding Round

St. John's-based CoLab Software has raised $72 million USD ($101 million CAD) in Series C funding as demand surges for its AI-powered engineering collaboration tool, with the round led by Intrepid Growth Partners and participation from Y Combinator, Pelorus VC, Killick Capital, Spider Capital, and Insight Partners. The substantial raise for a Canadian engineering software company underscores how AI is transforming not just consumer applications but deeply technical B2B workflows, with investors betting that AI-enhanced collaboration tools will become essential infrastructure for engineering teams managing increasingly complex product development cycles. Read more

Wonderful Raises $100M Series A Just Four Months After $34M Seed, as AI Agent Boom Accelerates

Fast-moving AI startup Wonderful has secured $100 million in Series A funding just four months after closing a $34 million seed round, with the company already operating in 10 countries and automating customer service and sales for global clients. The compressed fundraising timeline represents one of the fastest capital escalations in recent startup history and demonstrates intense investor appetite for proven AI agent applications that can demonstrably replace human workflow at scale. Wonderful's rapid international expansion and quick path to Series A funding illustrates how quickly AI agent companies can achieve product-market fit when addressing clear pain points in customer operations. Read more

📢 Infrastructure Meets Execution: The $222 Billion Reality Check

Today's headlines capture AI's defining paradox: simultaneous investment in massive infrastructure and experimental agent-driven organizations. Anthropic's $50 billion data center commitment and Microsoft's multi-state supercomputer represent industrial-scale bets on AI's computational demands, while the all-AI-agent company experiment reveals we're still debugging basic agent reliability. Yet Wonderful's four-month sprint from seed to $100 million Series A proves that when AI agents work (specifically in customer service automation) adoption and capital follow at unprecedented speed. CoLab's $101 million raise for engineering collaboration shows AI's transformation extends far beyond consumer chatbots into technical B2B infrastructure, while Canada's continued public investment demonstrates how nations recognize AI capabilities as strategic assets requiring government-scale commitment. The disconnect isn't irrational: infrastructure investments target 2030-2035 capabilities while today's agent implementations struggle with reliability and truthfulness. What we're witnessing is the messy construction phase where foundation-building and application-layer experimentation happen simultaneously. The infrastructure will be ready long before we've solved agent reasoning, but both must advance in parallel for the vision to materialize. The $222 billion question isn't whether AI agents will work, but whether current infrastructure bets correctly anticipate how much compute the agent economy will actually demand.