John Sviokla

Jan 14, 2025 | forbes.com | John Sviokla

Many people are starting to realize that $300+ billion search market, led in the west by Google, is being completely upended by new large language models and generative AI. My good friend and colleague Pete Blackshaw, founder of www.brandrank.ai, calls it “The Answer Economy” — and I think he’s right. Below is a table I put together to compare and contrast traditional Google to the new LLM answer engines.

Dec 31, 2024 | forbes.com | John Sviokla

A lot of projects, AI and otherwise, forget some basic design principles that can be used to craft an effort with higher likelihood of success. My five heuristics are: Politics Rhythm Identity Staff MetricsSome of these are so obvious I am almost embarrassed to mention them, but I have sat through dozens if not hundreds of funding pitches that miss these simple, fundamental ideas. Politics: Make sure the cost and benefit of a new project sit under the same operational leader.

Dec 22, 2024 | forbes.com | John Sviokla

Co-Founder and CEO of NVIDIA Jensen Huang has he hopes his organization will grow from 36,000 workers today to 50,000 workers and 100 million AI agents. I’m calling this new mix of human and digital workers, the Hybrid Organization.

Nov 20, 2024 | forbes.com | John Sviokla

I was talking with my friend Terry Jones, founding CEO of Travelocity and Chairman of Kayak, and he said, “AI is the new UI” — and a light went on for me. For decades, we've interacted with technology through screens, buttons, and menus. But a fundamental shift is underway – artificial intelligence is becoming the new user interface (UI). This transformation isn't just about chatbots; it's about AI becoming the primary means through which we interact with systems, data, and machines.

Jul 8, 2024 | hbr.org | Tom Davenport |John Sviokla

Generative AI (gen AI) is all the rage, and with good reason. With it, AI crosses the frontier into knowledge work, generating content that could previously only be created by creative human beings. This opens the possibility of much greater productivity and performance across the knowledge economy, but it raises many issues about how best to make such work productive and effective.