In the year since generative AI became widely available, the world has changed enormously. As of February, ChatGPT set the record for the fastest-growing user base. Once a novelty, generative AI now forms the baseline of different technologies. Even beyond technology, generative AI is asserting itself in finance, pharmaceuticals and art. With generative AI, there’s a strong sense that understanding how it can be used is uncharted territory.

Operations leaders are at the forefront of driving innovation and fostering long-term growth. With the ever-changing business environment and current emerging technologies, it's crucial that they also stay ahead of AI in the workplace. The Work Innovation Lab, a think tank by Asana, conducted research and found that operations leaders are AI realists—they see the technology’s vast potential and acknowledge its complexities.

The market is flooded with shiny new AI tools, all promising to help teams “do more with less.” In the midst of that noise, marketing leaders are faced with a delicate balance: How can they update their tech stack safely, to reap the benefits of AI without putting marketing outcomes—and budget—at risk? This was a core theme at The Work Innovation Summit, Asana’s marquee event showcasing how AI can unlock human potential at work.

Chatbots are used by 1.4 billion people today. The interest in ChatGPT is fueling the flames of chatbot adoption to become even more mainstream for personal use and business alike. Companies are now rushing to launch their best AI chatbots to carry on 1:1 conversations with customers and employees. AI powered chatbots are also capable of automating various tasks, including sales and marketing, customer service, and administrative and operational tasks.

One of my favorite words is dynamic and when I get to use it related to work, I always get pumped. Truth: it’s a dynamic time to be an internal communicator. The pandemic dramatically altered how and where we work — and employee expectations along with it. And artificial intelligence (AI) continues to disrupt as we grapple with the best ways to harness its potential and minimize its pitfalls. Many organizations have put off modernizing their employee experience.