Honestly, I think Figma will be here for much longer than the market thinks. Agentic workflows are simply not enterprise ready, too non-deterministic, skill level varies greatly across board and so outcome vary a lot. Enterprise is probably better off sticking to its already set workflows, versus having 10,000 engineers plus designers attempt to produce something useful using agents that are incredibly difficult to guard.
~/tags/futureofwork
#futureofwork
Couldn’t agree more with Cat Wu’s point on Lenny’s pod, build things you use everyday, it’s really the best way to develop “product taste” which is probably going to be the key distinguishing characteristic of engineers and PMs that survived the AI-pocalypse.
What does AI native operational efficiency really entail for engineering orgs in terms of tokenization and relative ROI?
Traditional companies ( companies with definite and specific roles that contribute to different parts of the SDLC ) still need deterministic workflows to support the scale at which features are being shipped across multiple product verticals. The lethargy to shift entire teams and orgs to AI first and only workflows is fair and understandable.
The AI native migration friction that traditional companies are experiencing is real. AI ready companies are able to hire versatile technical staff, traditional companies are really struggling to manage the synergy across roles especially now that AI usage has morphed multiple roles into one. Efficiency and ROI is still a big question !