we sit here in presales capacity and client on boarding. Someone obsessed with research on competition and says that biggest chatter is not another rival bidding but rather re-shoring agenda in board rooms.
he gave me this example for modeling, is it fear mongering or legit trend?
This one’s almost poetic “deja vu cycle” if you’ve been following EPAM’s institutional ownership saga.
Capital World Investors (American Funds / Capital Group) filed a 13G on February 10, 2026 disclosing a fresh 6.8% stake in EPAM — 3.76 million shares, likely accumulated around $190-200/share through Q4 2025. Nine days later, EPAM drops 16% in a single session on weak organic growth guidance.
They didn’t run. They doubled down.
By February 27 they filed an amendment — now 6.67 million shares, 12.3% of the float, sole voting power over 6.6M shares. Largest institutional holder. Right into the hole.
Stock is now in the $120s.
This is the third time Capital Group has gotten caught leaning into EPAM at the wrong moment:
Pre-war peak holders (\~$700 ATH in Nov 2021) → Ukraine invasion wipes 70%+
Rebuilt conviction through 2022-2023 → AI headwind repricing, cut 53% of position in Sept 2024 at $199
AI/Saaspocalypsis blindsight. Fresh accumulation Q4 2025 into Q1 2026 → walks straight into the earnings crater, doubles down anyway, now underwater again
The thesis they keep buying is “premium engineering services, irreplaceable talent, high-end clients.” The thesis the market keeps repricing is “AI eats the billable hour.”
At 12.3% with sole voting power they’re not a passive observer anymore. They’re stuck : too big to exit quietly, too convicted to fold.
Whether that’s a floor or a future overhang depends on how long their patience holds.
$EPAM
Looking for if anybody here did something similar to my first challenge on this new role. i adopted an on call support team dealing with 30+ apps support, SRE and remediation. Nearly half of the apps are really SaaS bundles with customization etc. Because of inefficiencies this team grown to 40 people but on individual level only 12 really hit KPI. The mandate is to reduce the team by 40-60% in one year using AI and process optimizations, while keeping the lights on.
I appreciate sound ideas or relatable stories on my case
The release of Claude 4 Mythos and the latest Gemini 3.2 updates have shifted AI from "assistant" to "autonomous agent." In previous years, AI helped a developer write code faster. In 2026, these models are capable of Agentic Engineering—the ability to plan, execute, and verify entire technical workflows without a human in the middle.
When a model scores above 94% on SWE-bench, it isn't just "productive." It is performing the labor of an entire mid-level engineering team. For procurement, this means the legacy "Price x Headcount" model is dead.
Mapping Model Progress to Role Elimination
The Extinction of Entry-Level Roles (90%+ Compression)
Junior Developers, Manual QA, and Associate BAs are effectively obsolete in a Mythos-driven environment. These roles were historically defined by "executing clear instructions." Current models now handle 100% of these tasks—writing unit tests, documenting code, and executing manual UI checks—at a unit cost that is 10,000x cheaper than a human salary. Any vendor charging you for "Junior" resources is likely using an AI agent and pocketing the difference.
The Consolidation of Mid-Level Engineering (50-70% Compression)
Automation Engineers and Systems Analysts are seeing the most aggressive consolidation. With the "Long Context" windows of Gemini (5M+ tokens), the AI can hold an entire enterprise codebase and its history in active memory. One Senior Architect can now manage a "swarm" of 10 Mythos agents, doing the work that previously required a team of seven. If your vendor’s organizational chart still looks like a pyramid, it is built on legacy waste.
The Refactoring of Senior Leadership (20-40% Compression)
Principals and Product Directors aren't being replaced by the model; they are being "refactored." The AI now handles the administrative heavy lifting—generating PRDs, managing Jira backlogs, and performing initial code reviews. The human role has shifted entirely to Technical Diligence and risk management. We are moving toward "Tiny Teams" where three senior experts produce the output of a 50-person legacy department.
The Auditor’s Conclusion for Procurement
The "New Way" with AI is a shift from Human Labor to Compute Labor. If you are reviewing a vendor contract in 2026 and it still features a high ratio of Junior-to-Senior staff, or if it charges for "Manual" phases of discovery and testing, it is a legacy contract. You are paying for a vendor’s refusal to modernize.
AIVendorDiligence exists to help you identify these "Ghost Teams" and reclaim the 30–50% in efficiency margins that your vendors are currently hiding from you.