AI, Agentic Systems, and the New Performance Curve: Why A-Players Thrive and B/C-Players Must Adapt

We keep hiring on-site at the same pace of deploying aggressive automations and agentic systems.

👉 In terms of “value creation”, new systems don’t contribute to new revenue.

Satya Nadella said this a year ago (paraphrased):

The developed world is growing about 2% in terms of GDP, and inflation-adjusted, it’s closer to zero. If AI is a real “industrial revolution”, we should see 10% growth or at least 7% GDP, inflation-adjusted at 5% real growth.

And we don’t see that.

He called the same hype “benchmark hacking” as well (which is critical for valuations and raising these legendary rounds today).

What agentic systems and automations do support, however, is stronger teams with more value added.

➡️ C players will be out in the next 2-3 years. Sloppy, slow, lazy, toxic workers, who cause chaos and need handholding, 2 layers of editorial, additional management and QA just to keep the ball rolling – this layer inflicts more harm than good, and this cut has been going on since 2023 in continuous waves of layoffs.

B players will need to evolve and manage AI very soon.

No more:

✔️ Coding from scratch as purists
✔️ Writing elegant-sounding copy for content and landing pages starting from zero
✔️ Spending 15+ hours on industry research, injesting podcasts, interviews, and other markets
✔️ Getting onboarded individually by every team member several times, sifting through the full doc, over the course of a month or two
✔️ Conducting ICP research manually vs. vetting scraped data
✔️ Building prototypes and demos in code or Figma vs. starting with Lovable first

This is a void effort which content teams have been feeling firsthand (with generic business content and social posts moved largely to LLM SaaS or even ChatGPT itself).

Designers are also struggling with DALL-E and Nano Banana. Our largest influx of job applications in the past 2 years is not even writers; it’s designers.

So B-players need to utilize the power of LLMs to the extent of spending 70%+ of their time in human-led activities instead of 90% on manual scraping, typing, or drawing.

A-players are safe as always. They have the foresight to tell real from fake, unproductive from leverage, opportunity from a waste of time. Intrinsic motivation to be in the first 1% is already fed by the collective circle of innovative updates and tools, podcast episodes, tech and digital “influencers” showing the way.

A players can both deploy automations and manage systems, and also spend however much necessarily for design, copy, support, or code. Because the deep understanding of the landscape will deliver results that LLMs cannot match – adjusted for psychological needs, human behavior, and pattern-breaking standing out of the AI slop.

B and C players haven’t pushed hard and long enough to tell the difference – which is where the job impact stands.

📗 And for A players – we have several open roles in our Sofia office:

Account Manager
Engineering Manager
Marketing Manager
Account Executive