Find answers to the question "So, what are you doing after graduation?" with Career Dreamer, an experimental generative AI tool that helps you design your future. You’ll be able to: - Uncover hidden skills, like how your volunteer work maps to what employers need - Explore personalized paths with career options grounded in real-world market data - Articulate your value with a powerful career identity statement - Grow into your next role with upskilling resources Watch a tutorial and get started today → https://goo.gle/4vCbrRE
Pravesh Y.
2d
This move by Google is truly commendable, as post-graduation confusion often stems from a lack of proper systems. Whether it's career or business, we often chase tasks and degrees, whereas what's needed is a robust system that can automate our goals. I've always believed that we shouldn't just work, but rather build systems that work for us—to reduce stress and ensure scalable growth. This AI tool will help map skills, but do you think skills alone are enough in today's times? Or should we move forward with a systems-first mindset from the start to be fully prepared for the future? What are your thoughts on this?
Almaz N.
2w
market data is a lagging indicator. identifying skills is fine, but tools don't build careers—networks do. identity statements won't save a junior from an overstaturated entry-level market.
Eric Marcano
1w
The "so what" question is valid, but it usually arrives too late in the funnel to be useful. In most mid-market HubSpot deployments I’ve audited, the struggle to find meaning in data isn't a lack of curiosity—it is a direct result of a fragmented schema that doesn't map to commercial outcomes. And in the last year of RevOps advisory, I've noticed that teams spend 80% of their time reconciling definitions instead of making decisions. The dashboard provides the "what," but the organization — and this is the gap where revenue quietly leaks — lacks the decision rights to act on the "so what" without three levels of approval. That whole process makes the initial insight irrelevant by the time the action is sanctioned. This holds true for most GTM teams. At least the ones where the reporting layer was built by IT without a commercial architect in the room.
Kevin Foo
1w
Let's turn "Career Dreamer" into "Career Go-Getter!"
The skill-mapping angle is underrated here. Most career tools ask "what do you want to do?" Career Dreamer flips it: "here is what you are already capable of, mapped to market demand." At Bles Software, we see the same pattern with enterprise AI - the biggest ROI comes not from replacing workflows but from surfacing hidden capacity that teams didnt know they had. AI as a mirror for human potential, not just a task executor.
Interesting direction — especially in terms of using AI to uncover skills that are often overlooked or hard to clearly articulate. In practice, many people have valuable experience (like volunteering or academic projects) but struggle to translate it into the language of the job market. From my experience, tools like this can significantly speed up the process of understanding your own skill set, but the key is still proper validation against real market needs. AI can suggest directions, but critical thinking and personalization remain essential. I’m curious to what extent Career Dreamer relies on up-to-date labor market data — are the recommendations dynamically adjusted to reflect changing skill demands and industry trends?
Evara
2w
Strategic career planning requires a data-driven approach. Grounding potential career paths in real-world insights creates a more resilient professional identity.
This is a critical first step, Google! Well done. The next step is students executing without waiting. In most cases, where you start your career is not where you end.
NATIONAL CADET CORPS - India•1K followers
2wGoogle As a student, this kind of tool can be really valuable for understanding where our skills fit in the real world. Looking forward to exploring it.