The Next Big Thing In AI: Where VCs Are Looking Now

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Michael Collins

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Explore the frontier of artificial intelligence with insights from Alumni Ventures’ Founder and CEO. This blog highlights emerging AI trends, including breakthroughs in healthcare, strategic niche adoption, indispensable integrations, and innovative business models. Discover where venture capitalists are investing and how visionary investors can help shape the next era of AI.

The Next Big Thing in AI: Where VCs Are Looking Now

As Founder and CEO of Alumni Ventures, I have a broad vantage point for what’s truly happening at the frontier of artificial intelligence. At Alumni Ventures, one of the most active VC firms globally, we see beyond the headlines, flashy demos, and hype cycles — where the real transformation takes shape. What I’m about to share isn’t just market analysis. It’s intelligence from the frontier, drawn from pitch meetings and deep conversations with founders who are quietly rebuilding the technological foundations of our world.

Today, we’re witnessing a moment strikingly similar to the early days of cloud computing. Back then, success wasn’t just a matter of having the best technology. It was about locking down sustainable business models and creating distribution channels that delivered market-leading value to users. Just as cloud technology winners guided customers through massive shifts in how they used and paid for software, AI winners will help their customers rewrite the rules of human capability itself.

There’s a sense that everyone “knows” AI because we interact with it daily. But insiders laugh at this idea; they say we’ve barely scratched the surface. Today’s most advanced AI systems represent less than 1% of the technology’s potential. The opportunity lies not in the tools themselves but in how they can consistently earn and retain customers by delivering impact. The real revolution isn’t in today’s headlines—it’s in what’s being built behind closed doors.

AI capabilities are evolving so quickly that even the most tech-savvy businesses struggle to keep up. As founders push new features and models, customers need time to integrate and adapt. This leads to friction, an ongoing balancing act between innovation and practical usability.

For investors like us, this mismatch is a signal. Companies that excel aren’t the ones that dazzle in a demo; they’re the ones that bridge the gap between what AI can do in theory and what people and businesses can handle in practice. They create easy adoption paths, focusing on issues people desperately want solved. These companies make life simpler, not more complicated.

To understand where the future is being built, let’s look at four critical battlegrounds shaping AI’s next chapter.

1. AI’s Quantum Leap in Healthcare

Historically cautious and heavily regulated, healthcare might not have been your first guess as an AI frontier. But in talking to founders and leaders, we hear how healthcare professionals are racing toward AI tools because they need relief. Staffing shortages, burnout, and administrative bloat — all make this sector hungry for solutions. In our portfolio:

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    Q Bio

    Q Bio transforms preventive health with AI-powered medical imaging that detects potential issues early. Its diagnostics are seamlessly embedded into physicians’ workflows, enabling more personalized and efficient care.
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    Woebot Health

    Woebot uses AI-driven chat tools to provide real-time mental health support, easing administrative burdens on clinicians.
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    Iambic

    Iambic accelerates drug discovery with AI, enhancing efficiency and precision for biotech innovation.

Key Insight: Healthcare adoption of AI isn’t about being “tech-savvy” but solving critical pain points. These solutions move from “nice-to-have” to “essential” overnight.

2. Winning Through Strategic Beachheads

AI startups that thrive don’t try to do everything at once. Instead, they master a niche (a “strategic beachhead”). By focusing on a niche, they gain a foothold, refine their product, and learn exactly what their users want. Over time, they can expand to new use cases but start by mastering a corner of the market.

This approach is classic Clayton Christensen thinking — find an underserved segment and win there. Incrementally, you move upmarket or broaden your offerings. The biggest mistake a founder can make is trying to mimic the incumbents head-on without any differentiation. In our portfolio:

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    Aescape

    Solves the physical therapy shortage with AI-powered robotic massage systems. Starting here, it has the potential to expand into broader healthcare automation.
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    Honor Care

    Combines AI with caregiver workflows to optimize eldercare scheduling and improve service quality.
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    Wispr

    Wispr achieved 90% enterprise adoption by embedding its AI-powered voice platform directly into existing tools, ensuring ease of use.

Key Insight: By focusing on specific user problems and integrating invisibly into workflows, these startups bridge the gap between innovation and adoption. This approach is particularly effective because it reduces user friction, making adoption seamless and immediate. By solving real, pressing issues without disrupting existing processes, these companies create tangible value and encourage long-term use, positioning themselves as indispensable solutions.

Learn More about the AI Fund

We are seeing strong interest in this fund as prior AI Fund vintages were oversubscribed, and we’ve had to establish a waitlist to accommodate interest.

If interested, we recommend securing a spot promptly.

Max Accredited Investor Limit: 249

3. Integration: Building Indispensable AI

AI tools must move beyond novelty to become daily essentials and ensure seamless integration into users’ workflows. Initial curiosity might attract people to an AI tool. But will they return for a second round, a fifth round, or make it a part of their daily routine? The low switching costs in AI — where someone can jump to another tool or solution easily — mean that user loyalty must be earned continually.

Successful teams pay close attention to how people use their product. They track what sparks repeat visits and what features turn a skeptical trial user into a passionate advocate. Maybe it’s the speed at which the tool solves a specific pain point, or how well it integrates into a user’s existing workflow. Whatever it is, these founders keep iterating until the product stops feeling like a gadget and starts feeling indispensable. In our portfolio:

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    Oura

    Oura has built a health tracking system that keeps 88% of users engaged after a year. Its actionable health insights integrate seamlessly into users’ routines, driving daily engagement.
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    Q Bio

    Tracks patients’ health over time, encouraging preventive care and long-term engagement.
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    Sleeper

    Sleeper’s fantasy sports platform combines engaging features and user-friendly updates to build season-after-season retention.

Key Insight: Engagement doesn’t happen by chance. Successful AI companies track user behavior, iterate relentlessly, and evolve their products to solve repeatable problems.

4. Innovating Business Models for the AI Era

Everyone knows subscriptions, but that’s not the only game in town. Some startups are exploring sponsor-driven models, revenue-sharing with content creators, or innovative pricing schemes tied to usage and outcomes.

This openness to experiment is a hallmark of a young market. Investors like us appreciate this willingness to try new models. While we don’t know which ones will stand the test of time, we know that the companies unafraid to experiment, adapt, and evolve have a better shot at thriving. Over time, as the market matures, best practices will emerge, and some monetization approaches will become standards. But right now, it’s the Wild West, and that’s where opportunity lies. In our portfolio:

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    Mayk.it

    Mayk.it shares revenue with music creators, tripling their earnings compared to traditional platforms.
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    Daydream

    Uses an affiliate-driven monetization model to power its AI fashion-discovery platform, driving 40% month-over-month growth.
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    Generate Biomedicines

    Embeds AI into biotech workflows, aligning its growth with partner success.

Key Insight: In the early AI market, companies experimenting with innovative business models have a better shot at creating lasting value.

Learn More About the Deep Tech Fund

We are seeing strong interest in our Deep Tech Fund. We have a limited number of spots, so we recommend securing a spot promptly.

Investors in the fund will have exposure to a portfolio of high-tech game-changers and disruptive business models using advanced science and engineering to tackle the toughest and potentially most lucrative tech challenges.

Max Accredited Investor Limit: 249

The Window of Opportunity for Visionaries

The window we’re in is unprecedented and unlike mature markets, AI still has room for multiple category leaders. The most successful companies share a distinct pattern:

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    They maintain technical excellence while solving real and specific problems.
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    They build distribution moats and prioritize user retention over acquisition.
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    They experiment with business models and monetization strategies.

Because AI is still early, it is not yet a zero-sum game and we believe multiple approaches can succeed. We see infrastructure-focused plays, consumer-facing apps, enterprise solutions — all potentially viable. That said, over time, the field will narrow as the market matures and customers gravitate toward a handful of trusted providers.

Your Role in the Revolution

For investors, this moment is a rare opening. It’s still early, which means there’s room to shape the industry, to influence what “value” means in AI, and to define what a winning model looks like. You can look at a variety of strategies, see which ones gain traction, and get ahead of the curve before the industry converges around a few proven models and platforms.

The next 24-36 months will likely determine the winners in this new era. For visionary investors, this isn’t just about returns — it’s about being part of humanity’s next great leap forward. As you consider your role in this transformation, ask yourself: Do you want to watch the AI revolution unfold, or help shape its direction?

Those who seize this opportunity may end up with more than a hot startup or a quick return. They’ll help shape the future of how we live and work — and in that future, the hardest-working, most thoughtful players will define what AI means for everyone else.

Take Action

Connect with your Alumni Ventures representative to learn how you can participate in our next fund. The future is being built now — and it’s being built by those who dare to think beyond the obvious. From our vantage point at Alumni Ventures, it’s going to be a thrilling ride. Let’s see who’s ready to strap in and build not just a cutting-edge product, but a long-lasting, meaningful business.

Michael Collins
Michael Collins
CEO, Alumni Ventures

Mike is the CEO and Founder of Alumni Ventures. He has been involved in almost every facet of venturing, from angel investing to venture capital, new business and product launches, and innovation consulting. He began his career at VC firm TA Associates. He holds an undergraduate degree in Engineering Science from Dartmouth and an MBA from Harvard Business School.

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