There are over 11,000 research papers published every month and countless announcements by private companies.
Here are our latest insights. We try to stay up to date on all things AI and it isn’t easy, but here are our latest insights. We try to stay up to date on all things
So much has happened in the first half of 2025, but a big part of success is predicting the future, so you can design technology that is right for today and ready for tomorrow. We’ve been really fortunate to have Steve Suarez working with us and we spent an hour talking about the future and what it means for everyone. A great session and learning for all.
A great conversation with Will Poole of Capria Ventures and an incredible collection of companies in the Global South who are at the cutting edge.
DeepSeek is not just about technology, but about the broader implications of Open Research and Open Source on the ecosystem. The Internet runs on Open Source for a reason.
A live conversation with Steve Suarex on what the DeepSeek moment means for you and the industry. The short note is that AI is now a global phenomenon and keeping track of all the things going on is complicated.
Using our predictions for AI in the year 2025, we thought it’d valuable to also offer recommendations for businesses trying to navigate the evolving landscape.
At the foundational model level, we believe there is value in dialing-a-new-mode per month—and switching if it breaks. On the design side, retarget your UX to talk and type, first. This will enhance user engagement and improve usability. As you fine tune your models, invest in figuring out what works for you! If it doesn’t work for you, it won’t for others.
With 2025 now upon us, and tools like ChatGPT, Gemini, and Llama only going to develop further, the AI landscape will continue to morph and grow. From models’ foundations to their market use, every step in between will be different this year than last. So with that in mind, we made predictions about what AI will look like over the course of the year.
On the model internal side, we believe that speech as the AI-native will become much more prevalent—meaning that more and more AI will be built to interact with users through voice. Training and subsequent research will remain crucially important as models intake greater amounts of data.
TNE is the disruption application for the AI era.
Imagine an AI layer seamlessly overlaying Microsoft Office, Google Workspace, Slack, Tableau and other business apps of today that orchestrates data retrieval, synthesizes analysis, executes business logic, provides recommendations, and automates output in any format needed, all by talking to your device and entering in simple commands.
That’s TNE’s vision.
We move beyond basic AI chatbots, instead representing a proactive AI suite that truly understands business needs and anticipates solutions. Our technology seamlessly operates across multiple applications and data sources, generating tailored outputs for distinct audiences without duplicating efforts or requiring regeneration. That’s the TNE difference.
Every platform revolution — DOS, Windows, the Internet — ushered in a corresponding wave of disruptive business applications. Each built from the ground up, natively tailored to each platform, each did so much more than introduce new features; they abstracted complexity and accelerated productivity in ways only imagine and fundamentally redefined how work got done.
There’s no doubt that it’s easy to use the most successful applications in history as examples. But it’s intentional. Because these apps were not just about technology. Rather, they created paradigms of working. They were more than tools. They abstracted old complexities with entirely new ways of thinking about how to solve complex problems.
Business is like an unpredictable ocean—full of hidden challenges and opportunities beneath the surface. Imagine your company as a fleet of ships, each embarking on its own ambitious journey. Success doesn’t just happen—it requires securing the investment to build the right boats, understanding the weather patterns and sea conditions to chart the optimal course, and constantly monitoring performance to adapt as conditions change in real time. So how does this translate to business? Markets shift, trends evolve, and surprises are inevitable. But the best companies don’t simply react—they anticipate and prepare, turning uncertainty into opportunity.
Steve Suarez of HorizonX is a man with a mission. It is an honor to have him as an advisor and investor in our mission. His view of the world as needing to reach three horizons is great. First we have to get ready all the systems to change and transform, then we need to create an all-AI enterprise and finally get ready for the quantum world.
Thanks once again Olie for hosting us at the London Stock Exchange Group. This time we combined the AI Hub with the Working Group focused on AI reliability standards. It was a great discussion about the future of AI and how well we did with out predictions in 2024.
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