The layoffs of about 40% -50% in Block, accompanied by a sharp rise in stock prices, are seen by the market as a turning point for the AI efficiency revolution from virtual to real. A signal has been sent to all Silicon Valley CEOs: AI is no longer just a growth story on PPT, but a cost cutting tool on the balance sheet. Even if 50% of personnel are cut, the business will still operate, with both revenue and profits increasing. 1、 What profound impact will this have on the technology industry? Valuation logic reconstruction (from headcount to human performance): In the past, the strength of technology companies was often demonstrated through the number of employees. Now, Wall Street is starting to reward minimalism. Companies like Block, which can reduce their workforce from 10000 to 6000 and accelerate business growth, will force all companies to follow suit. The rise of AI native organizations: companies will transition from a departmental system to an agent collaborative system. In the coming year, more companies will establish their own closed source AI efficiency improvement systems, similar to Block's development of internal tools such as Goose, in order to achieve large-scale automation of entry-level positions. The threshold for technical talent has sharply increased: the demand for entry-level programmers or operators who are versatile and executive oriented is shrinking, while super individuals and architects who can handle AI architecture and make cross domain decisions will be extremely in high demand, surpassing 10 people per person. 2、 Which companies/sectors will benefit from it? 1. Computing power and infrastructure: NVIDIA, Broadcom, Azure/AWS The funds saved from layoffs will be invested in computing power procurement, and labor expenses will be transferred to capital expenditures. 2. AI productivity tools: Microsoft (Copilot), cursor, reply When a company requires one person to do the work of three people, reliance on AI assisted development and office tools will be mandatory. 3. Minimalist high profit platforms: Meta, Airbnb These companies tend to maintain smaller teams. The precedent of Block provided them with a public opinion cover to further optimize their structure and increase profit margins. 4. Internal AI tool customization services: Palantir, Snowflake Service providers that help traditional large enterprises build systems similar to Block Goose will experience a surge in orders. 3、 Which companies/sectors will face damage? Human cost driven outsourcing services (IT outsourcing): such as Infosys, Wipro, or junior code outsourcing centers in Southeast Asia. If AI can improve the internal efficiency of Block by 50%, then expensive cross-border communication and basic outsourcing will lose their price advantage. Large software companies (SaaS) with bloated back-end management: If some established SaaS companies cannot quickly reduce redundant personnel through AI, their profit margins will appear extremely disadvantaged in the face of competitors hit by dimensionality reduction, and their valuations will continue to be under pressure. Traditional human resources and office service providers, such as Workday (some modules) or traditional office rental companies. As the total number of employees decreases, the business model of charging by head will face the risk of revenue shrinkage. Competitors who are slow to react: In the fintech field, if PayPal or other payment giants cannot decisively adjust their cost structure like Block, their profit expansion speed will lag behind, leading to capital flowing to more efficient Blocks. 4、 Summary and Reflection It is not an exaggeration to say that most companies will make similar adjustments in the coming year. Next, we need to focus on companies with sustained revenue growth but stable or even declining employee numbers. As Block's CFO Amrita Ahuja said, this is an action taken in terms of strength and position. The main theme of technology stocks in the coming year will be: who can use the least physical strength to run the fastest computing power return. Compared to labor costs, the cost of tokens is nothing to mention. With cost savings and efficiency improvements, there is no reason not to embrace them.