Artificial intelligence (AI) is the future and it will have the most profound impact on product management's prized skills of developing a strategy, crafting a vision, identifying new opportunities, and setting goals.
AI is best at taking gigabytes of data, analyzing it, and giving succinct and (increasingly) insightful answers. Humans with their soft skills, essential communication methods and team management, opinionated stakeholders, and pushing teams to work harder still have the upperhand.
AI is already impacting engineering since it is starting to program itself (with Devin and Magic).
A product manager's three-part job is to shape, ship, and sustain the product. AI is least likely to impact the day-to-day work of a product manager in the sustain section of the product's lifecycle.
Tools that can aid product management in the day-to-day shaping of products include ChatGPT, Claude, Gemini, Perplexity, and ChatPRD.
AI tooling can make it easier for product managers to find signal in the noise when performing discovery tasks such as getting input from sales and CX conversations to uncover insights about customer pain points and opportunities and inform what to build.
AI can also help create a roadmap by taking a company's strategy, user research, and goals, and prioritize ideas. The human team will still brainstorm, discuss trade-offs, refine the roadmap, and get buy-in on it.
Artificial Intelligence can facilitate giving feedback on designs, prototypes, and the final product before it goes live, but we would still require human input for a long while to keep the UX simple, cohesive, and delightful.
Product managers' 'soft skills' such as empathy, communication, and creativity will become increasingly important for connecting with customers as AI tools become stronger.
Product managers' should train themselves to work more efficiently with AI today and in the future. Instead of trying to compete with AI, they should focus on cultivating soft skills and identifying what data to feed AI tools.