Justin Kalaskey
@justinkalaskey.com
Curious creative. Human experience advocate. Raised on punk rock and pixels.
At the same time, design leaders specifically will need to prioritize connecting design to business and customer outcomes, as well as systems thinking, thinking through edge cases, and living in a nonlinear design process (which agency designers are often already great at).
May 27, 2025 at 7:57 PM
At the same time, design leaders specifically will need to prioritize connecting design to business and customer outcomes, as well as systems thinking, thinking through edge cases, and living in a nonlinear design process (which agency designers are often already great at).
Roles are compressing, requiring generalist skill sets
Designers will need to stretch their wings beyond strong visual craft to stay relevant, especially by investing in product thinking and technical fluency. We are becoming editors rather than producers, requiring a critical eye and vision.
Designers will need to stretch their wings beyond strong visual craft to stay relevant, especially by investing in product thinking and technical fluency. We are becoming editors rather than producers, requiring a critical eye and vision.
May 27, 2025 at 7:57 PM
Roles are compressing, requiring generalist skill sets
Designers will need to stretch their wings beyond strong visual craft to stay relevant, especially by investing in product thinking and technical fluency. We are becoming editors rather than producers, requiring a critical eye and vision.
Designers will need to stretch their wings beyond strong visual craft to stay relevant, especially by investing in product thinking and technical fluency. We are becoming editors rather than producers, requiring a critical eye and vision.
However, this doesn’t mean adopting an “AI-first” mentality on everything. Teams need use cases to find where AI can deliver real value, spaces to share demos of what they’re learning and trying, and a list of vetted tools that match needs.
May 27, 2025 at 7:57 PM
However, this doesn’t mean adopting an “AI-first” mentality on everything. Teams need use cases to find where AI can deliver real value, spaces to share demos of what they’re learning and trying, and a list of vetted tools that match needs.
Less red tape increases AI adoption
Due to the nature of startups being nimble and curious, they excel at AI adoption compared to large organizations. This makes sense because larger orgs have more complex systems and must consider security and privacy before giving approval to experiment with AI.
Due to the nature of startups being nimble and curious, they excel at AI adoption compared to large organizations. This makes sense because larger orgs have more complex systems and must consider security and privacy before giving approval to experiment with AI.
May 27, 2025 at 7:57 PM
Less red tape increases AI adoption
Due to the nature of startups being nimble and curious, they excel at AI adoption compared to large organizations. This makes sense because larger orgs have more complex systems and must consider security and privacy before giving approval to experiment with AI.
Due to the nature of startups being nimble and curious, they excel at AI adoption compared to large organizations. This makes sense because larger orgs have more complex systems and must consider security and privacy before giving approval to experiment with AI.
AI is for the individual, not yet for the team
AI in its current state is very siloed and focused on individual workflows. Designers are finding it difficult to create a shared understanding of tools, coordinate work across fragmented tools, and sync efforts.
AI in its current state is very siloed and focused on individual workflows. Designers are finding it difficult to create a shared understanding of tools, coordinate work across fragmented tools, and sync efforts.
May 27, 2025 at 7:57 PM
AI is for the individual, not yet for the team
AI in its current state is very siloed and focused on individual workflows. Designers are finding it difficult to create a shared understanding of tools, coordinate work across fragmented tools, and sync efforts.
AI in its current state is very siloed and focused on individual workflows. Designers are finding it difficult to create a shared understanding of tools, coordinate work across fragmented tools, and sync efforts.
AI tools are struggling to show lasting value
We're still struggling to determine which tools to invest in because none are showing clear, lasting value yet. This requires experimentation and self-directed learning, which can lead to AI adoption faster if companies support these grassroots efforts.
We're still struggling to determine which tools to invest in because none are showing clear, lasting value yet. This requires experimentation and self-directed learning, which can lead to AI adoption faster if companies support these grassroots efforts.
May 27, 2025 at 7:57 PM
AI tools are struggling to show lasting value
We're still struggling to determine which tools to invest in because none are showing clear, lasting value yet. This requires experimentation and self-directed learning, which can lead to AI adoption faster if companies support these grassroots efforts.
We're still struggling to determine which tools to invest in because none are showing clear, lasting value yet. This requires experimentation and self-directed learning, which can lead to AI adoption faster if companies support these grassroots efforts.
Great designers will deliver differentiation in an era of democratized design
When AI can raise the bar for everyone, anyone can make things that are “good enough.” It's critical to invest in human-led design--in people who can differentiate products through novel design that feels authentic.
When AI can raise the bar for everyone, anyone can make things that are “good enough.” It's critical to invest in human-led design--in people who can differentiate products through novel design that feels authentic.
May 27, 2025 at 7:57 PM
Great designers will deliver differentiation in an era of democratized design
When AI can raise the bar for everyone, anyone can make things that are “good enough.” It's critical to invest in human-led design--in people who can differentiate products through novel design that feels authentic.
When AI can raise the bar for everyone, anyone can make things that are “good enough.” It's critical to invest in human-led design--in people who can differentiate products through novel design that feels authentic.
AI excels at the start, fails at the end
In various areas (design, research, and development), AI is a great starter tool, but it still stumbles on the final execution or when things get complex. The report sees it as the 80/20 or even a 60/40 split, with AI helping designers get off the ground.
In various areas (design, research, and development), AI is a great starter tool, but it still stumbles on the final execution or when things get complex. The report sees it as the 80/20 or even a 60/40 split, with AI helping designers get off the ground.
May 27, 2025 at 7:57 PM
AI excels at the start, fails at the end
In various areas (design, research, and development), AI is a great starter tool, but it still stumbles on the final execution or when things get complex. The report sees it as the 80/20 or even a 60/40 split, with AI helping designers get off the ground.
In various areas (design, research, and development), AI is a great starter tool, but it still stumbles on the final execution or when things get complex. The report sees it as the 80/20 or even a 60/40 split, with AI helping designers get off the ground.
"Agency designers have had their souls crushed, but they rarely miss a deadline."
🤣😂😭
🤣😂😭
May 19, 2025 at 2:07 PM
"Agency designers have had their souls crushed, but they rarely miss a deadline."
🤣😂😭
🤣😂😭