Here are some thoughts on R1, the model that’s got everybody’s panties in a bunch. I’ve written it in simple bullet points to make it easier to consume and easier for me to write quickly. I explore what R1 means for the AI marketplace and how much significance we should give to the moment. Spoiler alert: I think the market’s response on January 27th was a major overreaction.

For much of 2024, the buzz was about so-called ‘agentic AI,’ the field of AI in which models have agency, which means they can use tools to complete tasks. Agents will come of age in 2025, and deployments will soon begin at scale. Many have declared this year to be the year of agents. In this post, I’ll review why that’s the case, what types of agents are coming, and the implications for the future of work in 2025 and beyond.

Like ice cream, artificial intelligence comes in a variety of flavors. Different people have different favorite flavors of ice cream, and it’s important to choose the right flavor (or flavors) of AI you’ll need to use for your AI business transformation project. Let’s explore the various branches of artificial intelligence and how you might use each to solve real-world business problems.

For a long time, robots were interesting, but boring. They made our cars, shook Petri dishes in science labs, and vacuumed our floors. The promise of robot butlers, companions, and factory workers stayed firmly in the realms of science fiction with lovable characters like C3PO, Rosey, and Robby.

Will humans ever be able to build artificial general intelligence (AGI), AI as intelligent and capable as humans on all tasks? If so, how might we build it? And once we get there, how will we know?

Our education system desperately needs a major overhaul. Today’s system costs way too much, is unavailable to some who need it and doesn’t teach students the skills they will need to succeed in the future workplace. AI in education is about to change that.

If we designed our education system from scratch today, it would look radically different from the antiquated, expensive, slow, and often stuffy system we have. As an AI futurist, I spend time researching and thinking about the future of work, education, and society. The question we must ask ourselves is not only what will happen when we put AI in education but what needs to change in our education system to prepare for AI and society in the future.

Will AI and automation eventually lead to mass unemployment? If AI does most of the work, will people still feel motivated to seek a high-quality education or education of any kind? Will the role of education change in a post-labor world? Could a decline in people’s education use lead to humanity's atrophy? These are some of the questions I plan to explore in this post. My recent posts have been about AI in education. This time, let’s talk about how AI could ultimately change the entire focus of our educational system.

AI technology continues to improve, often exponentially. It’s evolved from pattern matching, prediction, and recommendation engines to sophisticated agents capable of meaningful conversation and performing reasonably complex tasks. With each advancement, AI inches closer to becoming an integral part of our daily lives, not just as assistants but as researchers and collaborators. The change has enormous implications for users, content creators, advertisers, and the multi-billion-dollar search engine optimization (SEO) business.