"What's coming into sharper focus isn't fidelity, it's foresight. Part of the work of Product Design today is conceptual: sensing trends, building future-proof systems, and thinking years ahead. But besides the current momentum, we still have to focus on real problems that bring real value as of now. This balance is sometimes challenging, but also creates opportunities to reform our thinking and approaches."
"As AI agents become embedded collaborators in our systems, designers face a powerful and pressing question: Who are we designing for now? Suddenly, we find ourselves in the middle of a new Experience dilemma: designing for both people and programs. That means exploring new personas and reconciling different approaches: emotional intuition, logical execution, and the coherence of both. Let's have a look at the pitfalls of this dilemma and explore what we have to consider while designing for both humans and machines."
AI is rapidly transforming design practices beyond software, shifting priorities from pixel fidelity to foresight and conceptual systems thinking. Designers now must sense trends, build future-proof architectures, and balance long-term speculation with delivering immediate, practical value. AI agents will become embedded collaborators and constitute non-human users that parse structured inputs rather than experience emotions. Designing for both humans and machines requires new UX abstractions such as structured data, semantic HTML, accessible roles, predictable metadata, and clear context. Interfaces must remain intuitive for people while providing predictable, machine-readable signals to support reliable agent behavior and coherent human-agent interactions.
Read at Medium
Unable to calculate read time
Collection
[
|
...
]