There is a particular kind of excitement that arrives when two strangers decide to build a life together, and I felt an echo of it reading this week’s business news. On September 16, per Reuters, Canada’s Cohere and Germany’s Aleph Alpha signed a definitive merger agreement — a Canadian AI company and a German AI company, joining forces across an ocean to take on the giants of enterprise artificial intelligence. The combined business will operate as Cohere, with dual headquarters in Toronto and Berlin, and Aleph Alpha co-chief Ilhan Scheer will become chief operating officer. It is a corporate marriage, and like all marriages, it tells you something about what both parties believe the future demands.
Let me lay out the facts as reported. The plan was first disclosed in April as a combination valued at around $20 billion, or €17.34 billion. Lidl-owner Schwarz Group is investing €500 million in the deal. No updated financial terms were disclosed this week, and the merger remains subject to regulatory approvals. Cohere’s chief executive, Aidan Gomez, said the tie-up was aimed at meeting demand for AI “powerful enough to compete, but secure and governable enough to trust.” That phrase — powerful enough to compete, secure and governable enough to trust — is doing a lot of work, and we will come back to it, because it is really the whole thesis of the deal in a single sentence.
The numbers behind the two companies tell a story of asymmetry. Cohere reported $240 million in annual recurring revenue this year — real, recurring, enterprise dollars. Aleph Alpha, by contrast, reported revenue under €1 million in 2023. One partner brings a genuine revenue engine; the other brings European roots, research talent, and a brand built around trustworthy, sovereign AI. This is not a merger of equals in financial terms. It is a strategic combination in which each side supplies what the other lacks: Cohere gets a European home base and credibility with governments and regulated industries that care deeply about where their AI comes from, and Aleph Alpha gets scale, revenue, and a path to compete with the American giants.
And the giants are not standing still. For context, Mistral — the French AI lab — raised €3 billion just last week at a valuation above €21 billion, per the same Reuters reporting. So within days of each other, Europe’s AI scene produced a €3 billion fundraise at a €21 billion-plus valuation and a transatlantic merger aimed at building a continental champion. Something is clearly stirring. The same week, the WSJ’s Wednesday recap noted that Novo Nordisk is partnering with Anthropic to use AI for drug research — another reminder that AI deal flow is no longer just about chatbots and demos; it is about pharmaceutical pipelines, enterprise contracts, and the unglamorous work of selling software to companies that actually pay for it.
This is where I want to slow down and talk about what consolidation means, because it is one of those words that sounds neutral and lands very differently depending on where you sit. For enterprise customers — the big companies buying AI tools — consolidation is a double-edged sword. On one side, a larger, better-funded Cohere can invest more in safety, reliability, and support; it can afford the compliance certifications and the data-governance features that a hospital system or a bank requires before it will touch a new technology. Gomez’s phrase about AI “secure and governable enough to trust” is aimed squarely at those buyers. A merged company with dual headquarters in Toronto and Berlin can walk into a European boardroom and speak the language of data sovereignty in a way a purely American vendor cannot. That is genuinely valuable.
But consolidation also means fewer choices. When the AI vendor landscape narrows — when the independent players get absorbed into larger combinations — enterprise buyers lose negotiating leverage. Prices for AI services, which today are often set in a fiercely competitive market, can drift upward as the number of credible alternatives shrinks. Anyone who has watched what happened to software pricing after waves of consolidation in other eras will recognize the pattern. It does not happen overnight, and it does not happen in every category, but the direction of travel is familiar: first the land grab, then the pricing power.
Now let us bring this down to the level that matters most to me: the small-business owner. If you run a bakery, a dental practice, a small logistics firm — what does a $20 billion transatlantic AI merger mean for you? In the short term, probably very little changes on your screen. The AI tools you use — the writing assistants, the customer-service chatbots, the scheduling software — will keep working, and competition among vendors will likely keep prices reasonable for now. But in the medium term, consolidation shapes the menu of tools available to you. A world with a handful of large AI providers is a world where small businesses become price-takers: you choose from the plans on offer, at the prices on offer, on the terms on offer. The counterweight is that larger providers can offer more reliable, more secure, more supported products — and for a small business without an IT department, reliability is worth real money. A tool that works every time and keeps your customer data safe is worth more than a cheaper tool that fails during your busiest week.
There is also a geographic dimension worth appreciating. Dual headquarters in Toronto and Berlin is not just symbolism. It reflects a real fragmentation in how the world wants its AI built and governed. European regulators, European governments, and European enterprises have made it clear they want AI systems that answer to European rules about data, safety, and accountability. A merged Cohere–Aleph Alpha can credibly claim to be that provider in a way that a company headquartered solely in San Francisco cannot. For investors and for customers, this is the emergence of regional AI champions — not one global winner, but several, each rooted in a regulatory and cultural home. It’s not enough to just count the dollars in these deals — we must listen to what the geography is telling us, learn how regulation shapes markets, and contribute our own judgment about which bets are built on durable foundations rather than hype.
My take: I see the Cohere–Aleph Alpha merger as a healthy sign of an AI market growing up rather than just heating up. The $240 million in annual recurring revenue at Cohere is the detail I keep returning to, because recurring revenue is the difference between a science project and a business. A merger built around real enterprise contracts, aimed at the unglamorous virtues of security and governability, suggests that at least part of the AI industry is competing on substance. My honest view for ordinary investors is that you should be more interested in AI companies with revenue than AI companies with valuations — and this deal, for all its $20 billion headline, is at least partly a revenue story. For small-business buyers of AI tools, my advice is practical: enjoy the competitive pricing while it lasts, lock in favorable contract terms where you can, and favor vendors whose business model depends on keeping you as a customer rather than on the next funding round. Consolidation is coming to AI the way it comes to every maturing industry. The winners will be the customers and investors who chose substance over spectacle.
One final thought. There is something quietly hopeful in watching a Canadian company and a German company decide that the future is something they will build together rather than something that happens to them. In a week dominated by trillion-dollar valuations and twenty-two-billion-dollar loans, a merger aimed at being “secure and governable enough to trust” feels like a reminder that the AI economy will be built not only on capital, but on credibility. And credibility, unlike capital, cannot be raised in a funding round. It has to be earned — one enterprise customer, one kept promise, one governed system at a time.
