“If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind.”
This is why jevons paradox is really important to understand with AI right now.
And counterintuitively, this trend is going to increase as AI gets better. The better AI gets at performing tasks, the more companies can take on those tasks, which leads to hiring more people to do the surrounding work of those tasks.
Think about the small business that can’t afford to build complex software. When AI is only a little good nothing changes for them. When it’s really good they can finally hire engineers that have the impact of 5-10X, so they can finally invest in engineering.
The sales team that can automate customer intelligence and outbound demand gen will hire more sales people because they have more leads to go after. The marketing team that can now do higher-end video production than before will hire a video editor. And so on.
This is going to happen in more and more surprisingly ways.
Israel’s $550 bn economy pours 6 %+ of GDP into R&D (highest worldwide), boasts the most start-ups per head, and gets half its exports from tech. More California than Middle East. #TechNation#Startups
@FT Since the 7 Oct attacks, Tel Aviv 35 has topped every major equity market: +80 % in USD. GDP / capita has leapt from ~$20k in 2000 to $55k—now 70 % of the US level. 🇮🇱📈 #Israel#Markets#Innovation#Cybersecurity#VC https://t.co/tMKwExIoTJ
We’ve been heads down focused on CFG utility
- 1 single token for unified liquidity
- Exchange support for new token
- Ship, ship, ship: Products, partners and TVL
- Revenue! Fee switch on starting w/ $1B JAAA
- CFG use across the ecosystem
More details 🔜
CFG Renaissance
We’re only in year one of agent-driven work, but the playbook is clearer: speed up time, let teams experiment, welcome new talent, invest in culture, nail security. What’s your org getting right—and where are you still stuck?
Is there an AI trough of disillusionment? @TheEconomist says corporate AI is slipping into one. From London—weekly catch-ups with applied-AI startups, dozens of Series A pitches, and customer calls—I’m seeing the opposite. Five patterns keep surfacing 👇
🔗 Interoperability ties it all together. Nobody wants their smartest agent stuck in a walled garden. Open standards like Model Context Protocol and emerging Agent-to-Agent specs will decide which pilots graduate to production.
🎉BIG NEWS: We raised $120M in Series C funding, led by Durable Capital Partners, Altimeter Capital, and General Catalyst!
This marks a significant leap forward in our mission to transform customer service with agentic AI. We’ll continue empowering enterprises to build and deploy highly personalized, dynamic AI agents at scale. 🚀
With this funding, we’ll accelerate our global expansion and keep setting a new standard for contact centers with our AI Agent Management Platform (AMP).
The future is exciting! Even bigger breakthroughs are on the horizon.✨
Thank you for your support!
@altcap, @apoorv03, @BSchweinsteiger, @CarstenThoma, @DoreenHuber, @eqtventures, @generalcatalyst, @htaneja, @iskenderdirik, @jrassloff, @lafamigliaVC, @markusgrundmann, @MarioGoetze, @mathijsdewit, @mc_xarak, @Mosaic_VC, @MuttersbachErik, @senovoVC, @slevene, @tcoppel, @Teleperformance ...and to all of our new and existing investors!🤝
Learn more about our Series C funding here 👉
https://t.co/6a4Xkw4Ja1