● AI or Quit Big Tech Tracks Your Logs Slashes Pay

To everyone reading this, today’s content is a truly chilling yet must-know reality.It’s not just news like “AI technology has advanced.”

The shocking fact that global tech giants have started drawing their swords on employees, asking, “Will you use AI? Or will you quit?”,concrete evidence that your salary and promotion are now decided by ‘AI log records’,and finally, the ‘real reason companies force AI even if productivity drops’, which no one is telling you properly yet.

With this one post, I will perfectly summarize the landscape of the rapidly changing job market. Core insights you will regret missing, starting right now.

1. The Brutal Notice from Global Companies: “If You Don’t Use AI, Get Out”

Now, the era of ‘recommendations’ is over. Global companies view AI adoption as a matter of survival and are putting a very strong drive on employees.

Accenture: Want a Promotion? Let’s Check the Logs

World’s largest consulting firm Accenture has issued very specific guidelines. Starting this month, they have included ‘frequency of AI tool usage’ as a key evaluation factor for executive promotions.

[Fact Check]

• Data Collection Started: They have started tracking how many times a week senior employees log in to AI tools.
• Tools Evaluated: Internal tools like ‘AI Refinery’ and the human-machine collaboration engine ‘SynOps’ are included.
• Internal Reaction: Older senior executives are pushing back, saying “What is this? I’ll resign,” and some are criticizing the tools as “garbage generators.”

[Key Takeaway]Companies no longer look only at the results. They monitor whether AI was involved in the process of creating those results. This is beyond simple Digital Transformation; it is an attempt to forcibly change the organization’s DNA itself.

Google & Microsoft: Conditions for Voluntary Resignation

Google and MS are more direct. It’s like, “If you can’t use AI, you can’t keep up with the company’s speed, so leave.”

[Fact Check]

• Google: CBO Philipp Schindler pressured via email to “Use AI to exert greater influence,” notifying that if you can’t do this, use the ‘Voluntary Resignation Program’. In other words, ‘AI utilization ability’ has become the justification for restructuring.
• Microsoft: There is even talk that CEO Satya Nadella pressured executives in interviews with “AI or resignation.”

[Key Takeaway]Now, task automation ability is not a choice but an essential survival skill. Companies want to push work speed to the limit through AI, and are showing moves to clean out ‘high-cost, low-efficiency’ personnel who cannot adapt to this.

2. Carrots and Sticks: New Standards for Salary and Performance Reviews

It’s not just pressure. A system is being established that gives unconventional rewards to those who use AI well, and harsh penalties to those who don’t.

Meta: 300% Bonus if You Use AI Well

Meta has completely overhauled its personnel evaluation system.

[Fact Check]

• Reward System: Top performers receive 300% of the base bonus. On the other hand, the bottom 3% get a ‘0’ bonus.
• Evaluation Criteria: From 2026, ‘AI-based influence’ becomes a core expectation.

Amazon: We Are Watching Your Coding

Amazon monitors employees with an internal system called ‘Clarity’.

[Fact Check]

• They track by team how often employees use AI tools, especially how they utilize the proprietary coding tool ‘Kiro’.
• The question “How did you increase efficiency using AI?” is mandatorily included during promotion reviews.

[Key Takeaway]The corporate talent evaluation system has changed. Now, “I worked hard” doesn’t work. “I achieved 3 times the results of others using AI” is becoming the standard. This is a journey to find the ‘Cracked Engineer’ (a genius who does the work of dozens alone with AI) trending in Silicon Valley.

3. [Important] Why Now? The Productivity Paradox and Corporate Real Intentions

This is the most important point in today’s post. It’s content not often covered in the news.

“We used AI and productivity increased drastically.” This should be the norm, but statistics say otherwise.According to NBER research, executives only use AI for 1.5 hours a week, and 90% of companies answered, “AI has had little impact on productivity over the past 3 years.”

Then why are companies forcing AI like crazy?

[My Reinterpretation: Enduring Pain for the J-Curve]

1. Forced Learning Curve: Right now, AI tools might seem clumsy and like “garbage generators.” But if employees aren’t trained now, the company will be left behind when Generative AI technology explodes in 3 years.
2. Securing Data: The company can secure ‘work data’ only when employees use AI. This becomes the asset to train the company’s own AI model later.
3. Workforce Restructuring: Like Vinod Khosla’s prediction, the BPO (Business Process Outsourcing) or professional sectors will collapse within the next 5 years. Companies want to prepare for this by lightening the organization with ‘a strictly selected elite who handle AI’.

Ultimately, the current compulsion is a process of ‘building basic stamina’ and ‘weeding out the weak’ for the explosion of future corporate productivity.

4. AI Short News You Shouldn’t Miss

Don’t miss out on technical updates along with global trends.

Trillion Labs: The Rebellion of Domestic AI

Korea’s Trillion Labs has released the ‘Tree 21B Think’ model as open source. Despite having small parameters, it reportedly shows national-team-level performance. ‘Cost-effective AI’ will accelerate corporate adoption.

Google Gemini: Now Threatening Composers?

Music generation features have been added to Google Gemini. It is equipped with the ‘Lyria 3’ model; although it can only create 30 seconds due to copyright issues, the performance is at a level that threatens professional tools like Suno or Udio. The realm of creation is no longer a safe zone either.

< Summary >

• AI Turned Mandatory: Accenture, Google, etc., have made ‘AI utilization’ essential conditions for promotion and employment retention. They are even tracking and monitoring log records.
• Polarization of Rewards: Meta gives 300% bonuses to AI high performers, and Amazon reflects AI utilization in promotion reviews. Failure leads to elimination.
• The Paradox of Productivity: Current real productivity contributions of AI are low, but companies are choosing immediate ‘forced learning’ for future survival and workforce restructuring.
• Conclusion: Rather than simple task execution ability, how much leverage one can create using AI has become the survival keyword for office workers in their 30s.

[Related Posts…]Analysis of AI Utilization Ability Becoming a Prerequisite for Promotion in Global CompaniesGoogle Gemini’s Latest Updates and Changes in the Creative Market

*Source: https://www.aitimes.com/news/articleView.html?idxno=206995

---