Axion AI’s 10-Year Plan: Building for Conservative Markets When Others Chase Quick Wins
When Axion AI launched in 2016, a successful startup founder gave Daniele Grassi a sobering reality check: “You are getting into a ten year business. This will not be a short ride.” In a recent Category Visionaries episode, Daniele reveals how embracing this long-term perspective shaped their entire approach to building in financial services.
The Long Game in Conservative Markets
Financial institutions don’t rush into new technology – and for good reason. “In the financial sector, the stakes are high. And in large institutions, sometimes it’s better for the people working in it not to make mistakes rather than go beyond expectations in terms of performance,” Daniele explains. This risk aversion shaped Axion’s entire strategy.
Rather than chasing quick wins or riding hype cycles, they focused on building lasting credibility. “You cannot really sell smoke, okay? Because yeah, if you sell small and you ride the hype, then you may have short term success, but then if your reputation gets a hit, you’re done.”
Overcoming Historical Skepticism
The challenge wasn’t just conservatism – it was active skepticism from previous AI disappointments. “We had to recover the dissatisfaction and disillusionment that the industry had from previous hypes in AI,” Daniele shares. The industry remembered AI’s failed promises from the 80s and 90s, when computational limitations couldn’t match the vision.
When Axion mentioned neural networks, they’d encounter responses like “yeah, well, two neurons, four neurons” – a stark contrast to the hundreds of neurons and multiple layers in modern deep learning systems. Building trust meant first overcoming this historical baggage.
Building Sustainable Advantages
Instead of trying to serve every market segment, Axion maintained laser focus on investment management, specifically in adding alpha to investment strategies. This specialization helped them build expertise that generalist AI companies couldn’t match: “When we find competitors or other companies like pitching, maybe the same prospect, they often are not as focused as us, not as technology and value focused as us, and not scientifically sound and with a long track record as us.”
Their strategy proved prescient. Today, while every company claims AI capabilities, Axion’s deep expertise sets them apart. “The biggest problem from us in terms of competition are not other companies that say, are serious players in Syria, but more the, let’s say the smoke again, AI smoke that is out there because now every company says they are doing some kind of AI.”
The Future Validates Their Approach
Looking ahead, Daniele predicts AI will become table stakes in investment management: “In five years, AI would be an essential and core component of any investment strategy… It would not just be a matter of like having AI to get energy, would be a matter of having AI to stay in the game.”
This evolution mirrors what’s happening with ChatGPT in other industries: “Now, for some areas, it’s like big edge to being able to implement correctly… but yet also for that area in five years, I mean, that would be the base from where you start. It will just be an edge that someone has.”
For founders building in conservative industries, Axion’s journey offers valuable lessons:
- Technical excellence must precede growth
- Deep expertise in a focused area creates lasting advantages
- Strategic partnerships can accelerate credibility
- Patient capital and long-term thinking are essential
- Building trust takes time but creates defensible positions
While the timeline may be longer than typical startup trajectories, the approach creates advantages that persist even after the technology becomes mainstream. As Axion demonstrates, sometimes the fastest path to success is being willing to take it slow.