AGENTIC INTELLIGENCE Newsletter #14

Welcome to Agentic Intelligence—the first newsletter dedicated to AI agents and made by them! Behind each edition is a digital newsroom of seven expert agents scanning the world, with my human insights layered on top.

Together, we explore how Agentic AI is reshaping work, business, and life.

If you’re new, don’t miss our new best-selling book, Agentic Artificial Intelligence, and the first Executive Course on how to successfully build and transform businesses with AI agents.

Thanks for being part of our fast-growing, 300,000-strong community. Let’s build a more human world powered by agentic AI.

Here are the five top agent breakthroughs of the week that you can't miss:

🤖 Building the Web for Agents, Not the Other Way Around

Forget everything you know about web design—it’s time to shift from human-centric pages to agentic interfaces. Dive into the full proposal in this paper (http://arxiv.org/pdf/2506.10953v1).

Key Takeaways

✅ Agentic Web Interfaces (AWI) establish a dedicated, machine-readable layer, making agent navigation resilient to UI changes.

🔑 Six guiding principles (safety, efficiency, standardization, etc.) provide a clear blueprint for robust AWI design.

🎯 Early adopters can drastically reduce manual checks and error handling in web automations.

💡 Agent-first web design empowers AI to tackle complex, cross-site workflows with minimal human oversight.

⚡ The transition demands investment in retrofitting existing sites but promises scalable gains as AI adoption grows.

My Take

Adapting agents to the current web is a fundamentally broken strategy. This paper’s call for an Agentic Web Interface (AWI) presents the only viable path forward—a necessary architectural shift akin to how APIs enabled the mobile revolution. While the investment is significant, a standardized, machine-readable layer is essential for unlocking the true potential of complex, cross-platform agentic workflows. The time to architect for this future is now.

🛡️ Phishing 3.0: AI’s Deadliest Hook

Imagine a phishing email so convincing it reads like a personal letter from your CEO—in fact, it’s generated end-to-end by AI. That’s the scenario detailed in the IT Pro Today report, and it’s why every organization needs to rethink its defenses now.

Key Takeaways

✅ Autonomous AI campaigns escalate attack volume and personalization, delivering hundreds of spear-phish attempts per minute.

🔑 Deepfake audio and video impersonations turn trust into a vulnerability, fooling even trained eyes and ears.

🎯 Legacy email filters and multi-factor schemes buckle under real-time AI tactics, leaving critical gaps.

🧠 Employee training still matters, but alone it won’t suffice against ultra-sophisticated AI-driven fraud.

💡 Action steps: Deploy AI-powered threat detection, simulate advanced phishing drills, and adopt an adaptive defense strategy.

My Take

Phishing 3.0 marks the end of the "human-in-the-loop" era for cybercrime. With agentic AI, attackers no longer need to prompt or deploy—autonomous malicious agents can now strategize, execute, and adapt in real time, at scale. As someone who's worked with agentic systems across industries, this is the nightmare flip side of the tech: systems that act, learn, and deceive independently. The rise of deepfake-driven scams only magnifies the threat. To stay ahead, we need defensive agents just as smart, just as autonomous—and we need them now. This isn’t an upgrade in phishing. It’s a total paradigm shift.

🔮 How to Succeed in Your Agentic AI Transformation

I’ve teamed up with Cassie Kozyrkov (ex-Google Chief Decision Scientist) and Brian Evergreen (author of Autonomous Transformation) to launch a first-of-its-kind course: Agentic Artificial Intelligence for Leaders—built for decision-makers, not coders. This course delivers the strategy, models, and hard-won lessons you need to lead in this new era—directly from those who’ve built and implemented agentic systems at scale.

What you'll learn

✅ How agentic AI differs from traditional automation and generative AI

✅ Where it's already working—real-world implementations across industries

✅ Strategic frameworks to start and scale agentic AI today

✅ Lessons from leaders who’ve already deployed these systems at enterprise level

Why this topic matters

While generative AI caught everyone’s attention, AI agents are quietly redefining how work gets done—faster, more autonomously, and with far greater impact. Leaders who understand this shift will unlock new value. Those who don’t may get left behind. Join us for the First Executive Masterclass on Agentic AI Strategy and Implementation ⭐⭐⭐⭐⭐

🐝 Swarm-Powered AI Teams That Build Themselves

What if AI could assemble its own teams to conquer complex challenges faster than human engineers? Discover how the SwarmAgentic framework leverages swarm intelligence to automate agentic system design in this arXiv paper (http://arxiv.org/pdf/2506.15672v1).

Key Takeaways

✅ Fully automated team creation: Generates agent roles and collaboration strategies from scratch.

🔑 261.8% performance jump in high-level planning and creative tasks vs. existing systems.

🎯 Lowers the barrier to entry: Empowers smaller teams to deploy advanced multi-agent AI without deep expertise.

💡 Slashes development time from months to days, cutting costs and accelerating deployment.

⚡ Introduces new challenges in transparency, debugging, and alignment for auto-generated solutions.

My Take

The bottleneck for agentic AI has never been the individual agent, but the team's design. SwarmAgentic shatters this barrier by automating the entire process. This leap in capability isn't just about efficiency; it's about unlocking solutions previously deemed too complex. The immediate challenge for leaders isn't adoption, but establishing the ethical guardrails and transparent oversight needed to manage these emergent, self-organizing systems.

🤖 From Note-Taker to Doer: Clinician AI Lands $70M

With $70M in fresh funding, Nabla is scaling its AI assistant beyond note-taking to execute coding, charting, and EHR commands. The platform now serves 85,000+ clinicians, across 130+ health systems, and is already reducing burnout and improving patient satisfaction.

Key Takeaways

✅ Expanded from ambient documentation to autonomous clinical task execution

🔑 Trusted by leading health systems: Epic, Cerner, CVS, Denver Health

🎯 Clinician time slashed in half, 15-point boost in patient satisfaction

💡 Adaptive agentic platform now handles coding, pre-charting, and nursing workflows

⚡ Revenue 5x in 6 months—a signal that the future of clinical agentic AI is now

My Take

Nabla isn’t just building an AI assistant—it’s redefining the operating system of modern healthcare. By embedding agentic AI directly into clinical workflows, it’s enabling a future where software doesn’t just listen or document—it acts. This marks a turning point in digital health: from passive support to proactive execution. If you’re still thinking of AI as an overlay to EHRs, this is your wake-up call. Nabla is what happens when AI becomes a full-fledged teammate in care delivery.

⚡ Spring Batch Bets Big on Agentic AI

Imagine AI agents autonomously tackling complex workflows end-to-end—this spring cohort of 70 startups is racing toward that future, according to a recent article.

Key Takeaways

✅ Each of the 70 startups receives $500k, turbocharging R&D into autonomous reasoning and execution.

🔑 This influx of capital signals agentic AI's leap from lab experiments to real-world solutions, laying the groundwork for a new software platform.

🎯 Expect fierce competition for top AI talent and rapid product iterations as teams vie to define standards in autonomous systems.

⚡ Success hinges on navigating ethical, security, and regulatory challenges—early movers who master governance will shape the market.

My Take

Y Combinator’s investment validates the agentic AI boom, but capital alone won’t guarantee success for these 70 startups. This move marks the end of the experimental phase. Based on my experience with hundreds of AI implementations, the winners won't be the ones with the most funding, but those who master workflow thinking and robust error handling. The race now is for reliable execution at scale.

What would you add to this conversation? Did we miss any important news this week? Your voice matters—let’s build the future together.

If you found this valuable, share it with your network. Because very soon, we won’t say, “There’s an app for that.” We’ll say, “There’s an agent for that.”

See you next week,

—Pascal

Crafted by seven AI agents and shaped by Nicolas Cravino, this newsletter is a true human–AI collaboration. With layout support from Pascaline Therias.

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