Layoffs and Survival Cases¶

Are Tech Giants making a pivot by shifting their budget from traditional cloud maintenance and support into high-cost AI chips (like NVIDIA GPUs) and specialized AI talent? In this section, you will find some concrete episodes of workforce reduction and how people and organizations navigated them.

Layoffs Are "Not Due to AI"¶

There is a narrative that 2025-26 layoffs in Tech are not due to AI, but to previous over-hire or other management mistakes, and an AI is just an excuse.

Authors of such narratives, however, often combine this vision with the view that AI is a great tool boosting a productivity. That pulls us back to the question of these docs:

Question-02 of 17: What will some Humans do to other Humans' work, income, safety and well being by growing and utilizing AI?

In this context: will fired people be re-hired by someone? And if not - why? Is it because AI allows CEOs have 10 "10xProductive" developers instead of 100 while paying them the old salary (10 times down in costs)? Will CEOs want 100 "10xProductive" developers to provide 100xValue to the World? Or will they just want more revenue?

And even more precise question: do these CEOs, their investors care about people who cannot find the job and pay their bills? Does "over-hire" map 100% into the idea of "over-population"? Are those going towards the "new economy" while being financially secure suggesting that "extra people" should die along with their families for the "new order to arrive?"

Jevons Paradox - AI's Application¶

The economic theories can feel like gaslighting when applied to real human lives. The Jevons Paradox is frequently cited by AI optimists to say "Don't worry, efficiency creates more work!"

In the 1800s, Jevons noticed that when steam engines became more efficient (used less coal), people didn't save coal. Instead, they built millions more steam engines because it was now so cheap to run them. Total coal use went up.

By analogy, AI optimists suggest that AI will create a huge (scaled up) amount of entirely new roles (e.g., AI product managers, safety engineers) and expand "long-tail" services like personalized healthcare and niche legal analysis that were previously too expensive - while routine, "low-discretion" roles may decrease, there will be a higher demand for "high-context" roles that require a human-in-the-loop, such as:

• AI supervision and governance.
• Problem framing and goal setting.
• Customer-facing roles requiring emotional intelligence.
• Cross-functional coordination.

Doubt

How exactly erasing of 5M taxi drivers with Tesla FSD will create "more demand" for taxi drivers?

It doesn't. Jevons Paradox does not create more demand for taxi drivers—it creates more demand for rides. In the coal case, "Coal" is the resource. In the taxi case, "The Driver" is not the resource—"Transportation" is.

• Reality: If Tesla FSD makes a ride cost $0.20 per mile instead of $2.00, demand for rides will skyrocket. People will send their cars to pick up groceries, kids, or even just circle the block to avoid parking.
• Result: We use more "Driving," but we need zero "Drivers." Jevons Paradox explains why we will have more autonomous cars on the road than we ever had human taxis, but it offers no protection for the human worker.
• Time Gap and Skill Gap: You cannot turn 5 million taxi drivers (or thousands of software developers) into "Customer-facing roles requiring emotional intelligence" overnight.
• Amount Gap: will we need 6 million "Customer-facing roles requiring emotional intelligence"?

"They are Greedy" vs. "They Have No Choice"¶

From here:

If "Company A" stays human but "Company B" automates, Company B gains a massive cost advantage and crushes Company A along with all its employees.

Valid point.

Vanishing People - Vicious Cycle of Disconnection¶

As of May 7, 2026:

The data above does not include the smaller companies not visible by media.

Layoff Patterns and Execution Techniques

• The "Midnight Lockout": Many companies have adopted a policy of revoking digital access (email, Slack, and VPN) simultaneously with, or even minutes before, sending a notification email.
• One-Way Communication: To avoid individual negotiations or emotional escalations, firms are increasingly using pre-recorded video messages or "view-only" webinars for large groups, where cameras and microphones are disabled for all attendees.
• Immediate Physical Exit: For employees still working in hybrid or physical offices, "immediate disconnect" protocols often involve security escorts and the mailing of personal belongings to the employee’s home to prevent data theft or disruption.
• Off-Hours Notification: Large-scale layoffs, such as those at Amazon and Intel, have frequently been announced during late-night or early-morning hours (e.g., 3:00 a.m.) to manage system traffic and minimize immediate public backlash during market hours.
• Algorithmic Selection: Employees are increasingly being notified of their status via automated systems that do not provide a direct point of contact for follow-up questions, creating a sense of an "unexpected" and robotic event.
• Severance Structures: While specific amounts vary by role, the standard in 2025–2026 has remained focused on a baseline of several weeks' pay per year of service, often capped at a maximum amount to control restructuring costs.
• Clawback Clauses: There is a rising trend in including strict non-disparagement and non-compete clauses as conditions for receiving the final severance payout, limiting the employee's ability to discuss the layoff process publicly.

Behavioral Patterns: Laid Off People¶

• Immediate Cognitive Shock and "Digital Grief": Because techniques like the "Midnight Lockout" deny employees a chance to say goodbye or retrieve personal data, many individuals spend the first 48 hours in a state of "digital grief," obsessively checking non-work platforms (LinkedIn, personal email) for any sign of human contact from former peers. Individuals struggle to find a logical performance-based reason for their exit, leading to decreased self-worth.
• Resource Scarcity Logic: In a mass layoff, the "resource" isn't just money—it's the remaining available jobs in the industry. Natural selection kicks in, and the colleague who was your friend yesterday becomes the competitor who might take the one open role at a rival firm. Consequently, the "human connection" (social media "exposure" posts, private personal and group chats, negative comments to the related publications) remains purely surface-level (venting), while the "survival actions" are kept secret.
• Mental Health: Witnessing the prioritization of AI-skilled workers leads to a frantic, often anxiety-driven rush toward "AI-proofing" personal skill sets, sometimes at the cost of the employee's mental health or passion for their original field. Cognitive dissonance: what is felt like literal betrayal being constantly represented (with all logical foundations) as impersonal "market move", puts at risk person's evaluation of his own ability to make conclusions, detaching from anger and social activism and pushing into burnout and total withdrawal from the industry, society or even life.
• Vicious Cycle of Disconnection: The community dissolves into 100,000 isolated individuals, each struggling alone, which makes everyone more vulnerable to the next corporate move.

Behavioral Patterns: Survivors¶

• Anticipatory Grief: The primary emotion isn't relief (while it can be presented in short-term); it’s a high-functioning state of dread. Every "All Hands" meeting or vague calendar invite from HR triggers an immediate physiological stress response. Witnessing the impersonal execution techniques causes a loss of faith in the company's leadership.
• Cognitive Load: Survivors often have to absorb the workload of their departed colleagues, leading to "Role Overload" where they are too exhausted to innovate, focusing only on not making a "fireable" mistake.
• Defensive Behaviors: Colleagues who used to collaborate now view each other as competitors for the "survivor" spots in the next inevitable round. Survivors stop sharing tribal knowledge because "being the only one who knows how X works" is a survival strategy. In the rush toward AI-proofing, survivors may keep new efficiencies or AI prompts to themselves, fearing that if they make the team too efficient, they will "automate themselves out of a job". True loyalty is turning into "loyalty demonstration" and "hypocritical fit" to company "culture" and policies (based on fear of being monitored by the company).
• "Silent Office" (A Hollow Organization): While the company might appear lean and efficient on paper, the internal psychological infrastructure has collapsed. By forcing employees into a state of survivalist isolation, the company has traded long-term innovation and loyalty for short-term, fearful compliance.

Behavioral Patterns: Not Affected, Friends¶

• Defensive Upskilling and The "Luxury" Guilt: There is a frantic, anxiety-driven rush to acquire "AI-native" skills, as these individuals view the 2025–2026 layoffs as a roadmap for their own eventual replacement. They often feel a sense of "undeserved safety," which manifests as overworking to prove they belong in the "safe" tier of the economy.
• Resource Hoarding and Networking Paralysis: Like survivors within affected firms, they become less likely to share professional leads or industry secrets, treating their current position as a fortress to be defended at all costs. They may avoid reaching out to laid-off peers because they feel they have no "good news" to offer that wouldn't sound like bragging, leading to a breakdown in broader professional communities.
• Friends: Friends often adopt an overly cautious tone, avoiding talk of their own work successes or stresses. This creates a shallow, walking-on-eggshells dynamic that further isolates the laid-off person. Friends might stop inviting the displaced person to events that cost money (dinners, trips) out of a misguided sense of "sensitivity" regarding the person's financial state. This results in the laid-off individual losing their social support system exactly when they need it most. Initially, friends offer a flurry of help (referrals, resume reviews). However, if the laid-off individual remains unemployed for months, friends often experience Empathy Fatigue, eventually "ghosting" the friend because they can no longer handle the emotional weight of the other person's stagnant situation. Seeing a close friend—who is just as talented and capable—get cut by an algorithmic selection process makes the "safe" friend feel vulnerable. To protect their own ego, they may subconsciously distance themselves to believe "this won't happen to me".
• Blocked Emotional Integration: To accept layoff reality would be to accept that one's current stability is an illusion. Layoff data and general tendencies are viewed as an "interesting academic exercise" or "doom-scrolling" rather than a call to action. If one truly felt the weight of laid off person situation, one would have to confront the fact that they are just as vulnerable. By remaining "unconscious" to the threat, they maintain a psychological distance that keeps their own identity anxiety at bay. Humans are naturally poor at assessing exponential threats (like the current pace of AI-restructuring) until they hit a personal "inflection point" - it's a desperate, subconscious attempt to keep their own world from shattering before it absolutely has to.

Behavioral Patterns: Everybody¶

Isolated.

Current Conclusions and Open Questions¶

Current Conclusions:

1. Due to disconnection, no social action will follow, until desperate times hit a profound number of people. Up to that moment, a huge number of harm and victims will be in place. Social action will arrive in the form of riot and violence.

Open Questions:

1. What a heck can we do while being isolated and alone?