“The greatest fortunes in history are built not on certainty, but on conviction balanced by discipline.” – MJ Martin
The anticipated public listings of OpenAI and Anthropic represent a historic inflection point in capital markets. These are not conventional IPOs. They are effectively a public monetization of artificial intelligence itself.
Together, these companies could bring $1.2 trillion to over $1.4 trillion in combined valuation to public markets, a scale that dwarfs even landmark listings like Alibaba Group in 2014.
For investors, this is not simply another tech cycle. It is the financialization of a new economic layer.
Valuations: Unprecedented Territory
The valuation gap between the two companies is already striking.
OpenAI is currently being valued in private markets between $800 billion and potentially approaching $1 trillion at IPO.
Anthropic, while smaller, is hardly modest. It sits between $330 billion and $380 billion, with strong revenue growth and a clearer path to profitability.
This creates a dynamic rarely seen in IPO history:
– Two direct competitors
– Both entering public markets near mega-cap scale
– Both still in early monetization phases
To put this in perspective, the entire U.S. IPO market from 2016–2025 raised about $469 billion. These two companies alone could exceed that in a single cycle.
Business Models: Diverging Strategies
Although both operate in large language models, their strategies are increasingly distinct.
OpenAI: Scale and Ecosystem
OpenAI is pursuing dominance through:
– Mass consumer adoption via ChatGPT
– Enterprise integrations and partnerships
– Deep infrastructure investments in compute
Recently, the company has shifted away from experimental consumer features toward monetization and enterprise revenue, a clear IPO signal.
Its strategy resembles Amazon in its early cloud phase: spend aggressively, dominate infrastructure, monetize later.
Anthropic: Enterprise and Safety
Anthropic has taken a more focused approach:
– Enterprise-first AI tools
– Strong positioning on safety and governance
– Faster path to profitability
It expects profitability by 2028, with strong revenue growth already underway.
This positions it closer to a high-margin software company rather than a platform monopoly.
Risks: The Reality Behind the Hype
These IPOs carry risks rarely seen at this scale.
1. Extreme Capital Requirements
OpenAI alone may require hundreds of billions in compute investment, with projections of massive cumulative losses.
2. Valuation Risk
AI companies are priced on future potential, not current earnings.
A trillion-dollar valuation implies unprecedented revenue scaling, potentially $250B+ annually within a decade.
3. Dependency Risk
OpenAI’s reliance on Microsoft is both a strength and a vulnerability.
4. Market Volatility
Recent pre-IPO AI investment vehicles have shown extreme swings, demonstrating speculative behaviour.
5. Regulatory and Ethical Risk
Anthropic has already faced government friction over military use of AI, highlighting geopolitical exposure.
Comparison to Past Mega IPOs
Historically, even the largest IPOs had clearer business models:
– Facebook: advertising-driven revenue
– Google: search monetization
– Alibaba Group: e-commerce scale
In contrast, AI IPOs are:
– Less predictable
– More capital-intensive
– More dependent on technological breakthroughs
This makes them closer to early-stage infrastructure bets than traditional tech IPOs.
Who Is Leading the AI Race?
Today, OpenAI leads in:
– Consumer adoption
– Brand recognition
– Ecosystem scale
Anthropic leads in:
– Enterprise credibility
– Safety positioning
– Path to profitability
The race is not purely technical. It is strategic.
Who Will Win?
There may not be a single winner.
OpenAI is likely to dominate platform scale, becoming the “operating system” of AI.
Anthropic may become the trusted enterprise layer, similar to how Salesforce built dominance in CRM.
In reality, both could win, but in different segments.
Investment Perspective: A Canadian Lens
For Canadian investors, the question is not simply “which one?” but “how much risk?”
Direct investment at IPO will likely be:
– Highly volatile
– Oversubscribed
– Driven by institutional demand
Practical considerations include:
1. Diversification
Rather than choosing one, exposure through:
– AI-focused ETFs
– Large partners like NVIDIA or Microsoft
2. Currency and Market Exposure
These IPOs will be U.S.-listed, introducing:
– FX risk
– Tax considerations for Canadian investors
3. Timing Discipline
The biggest risk is buying into peak hype rather than long-term value.
Summary: A Generational Opportunity with Generational Risk
The IPOs of OpenAI and Anthropic will redefine public markets. They represent a shift from investing in companies to investing in intelligence itself.
Yet the scale is so vast, the expectations so extreme, and the economics still evolving, that investors are navigating truly uncharted territory.
OpenAI offers scale and dominance. Anthropic offers discipline and focus.
The wiser approach may not be choosing a winner, but recognizing that this is the early phase of a decades-long transformation.
About the Author:
Michael Martin is the Vice President of Technology with Metercor Inc., a Smart Meter, IoT, and Smart City systems integrator based in Canada. He has more than 40 years of experience in systems design for applications that use broadband networks, optical fibre, wireless, and digital communications technologies. He is a business and technology consultant. He was a senior executive consultant for 15 years with IBM, where he worked in the GBS Global Center of Competency for Energy and Utilities and the GTS Global Center of Excellence for Energy and Utilities. He is a founding partner and President of MICAN Communications and before that was President of Comlink Systems Limited and Ensat Broadcast Services, Inc., both divisions of Cygnal Technologies Corporation (CYN: TSX).
Martin served on the Board of Directors for TeraGo Inc (TGO: TSX) and on the Board of Directors for Avante Logixx Inc. (XX: TSX.V). He has served as a Member, SCC ISO-IEC JTC 1/SC-41 – Internet of Things and related technologies, ISO – International Organization for Standardization, and as a member of the NIST SP 500-325 Fog Computing Conceptual Model, National Institute of Standards and Technology. He served on the Board of Governors of the University of Ontario Institute of Technology (UOIT) [now Ontario Tech University] and on the Board of Advisers of five different Colleges in Ontario – Centennial College, Humber College, George Brown College, Durham College, Ryerson Polytechnic University [now Toronto Metropolitan University]. For 16 years he served on the Board of the Society of Motion Picture and Television Engineers (SMPTE), Toronto Section.
He holds three master’s degrees, in business (MBA), communication (MA), and education (MEd). As well, he has three undergraduate diplomas and seven certifications in business, computer programming, internetworking, project management, media, photography, and communication technology. He has completed over 60 next generation MOOC (Massive Open Online Courses) continuous education in a wide variety of topics, including: Economics, Python Programming, Internet of Things, Cloud, Artificial Intelligence and Cognitive systems, Blockchain, Agile, Big Data, Design Thinking, Security, Indigenous Canada awareness, and more.