Polls

Among European founders it's quite common to hear a lot of frustration and confusion regarding the demands made by European business angels and investors. One adagio, quite common amongst the European founder community, is that "American investors invest and European investors say they're investors." Indeed, the lack of public guarantees, of a duly integrated capital market, of a perennial high risk aversion culture, and of the lack of legal efficiency and certainty, make private investors not focus on the opportunities posed by EU founders. The power law explained by Sebastian Mallaby is, in Europe, anathema, as much as the "move fast and break things" motto.…

While the market is obsessed with benchmark races and base compute costs, Enterprise AI adoption is hitting a structural wall: Legal & Operational Risk.

High-margin corporate processes cannot be handed over to autonomous agents without a clear framework of accountability, deterministic auditing, and compliance.

Just as finance needed Moody’s/S&P and civil engineering required TÜV/ISO standards, autonomous AI systems will inevitably require Independent Institutional Accreditation.

The next wave of massive enterprise value won’t just come from selling AI tools — it will belong to the entities that set the Standards of Trust, Audit & Sovereign Compliance for autonomous deployment.

Where do you see the primary bottleneck for Enterprise Agent deployment over the next 24 months?

What will be the biggest factor driving enterprise adoption of open-weight AI models over the next three years?

Over the next three years, how much of your company's traditional SaaS software could realistically be replaced by AI agents?

What level of financial authority would you give an AI agent making purchases or executing transactions for your business?

Which business function do you believe will generate the greatest measurable ROI from deploying autonomous AI agents over the next 12 months?

What's the biggest obstacle preventing your organization from trusting AI agents with business-critical decisions?

Which approach are you using to prevent malicious or untrusted data from influencing AI agent decisions?

Which approach are you currently using to control autonomous AI agents in production or experimental environments?

Which tool or approach are you using to secure your Agentic AI systems against prompt injection and unauthorized actions?

Most AI speaking tools focus on just one part of communication. Vocalis brings it all together. 🎙️

From personalized feedback and conversation practice to progress tracking and real-world speaking challenges, Vocalis is designed to help you become a better communicator through deliberate practice.

The goal isn't just to speak better in an app. It's to communicate better in real life.

Which Feature do you think is the best?