Tesla and Google's Q2 financial reports have been released, and their stock prices have both fallen after market hours, but the logic of the decline is completely different: Google's speed of making money cannot keep up with its speed of spending money, while Tesla's sales growth has not turned into profit. Tesla's revenue was 28.24 billion US dollars, a year-on-year increase of 26%; Delivered 480000 vehicles, a year-on-year increase of 25%, and there is no problem with a rebound in sales. But the adjusted EPS was only $0.33, far below the expected $0.51; The total gross profit margin dropped to 16.8%, and the operating profit margin dropped from 4.1% to 1.4%, with a year-on-year decrease of 57% to $398 million in operating profit. The reason is not only that AI investment is too high, but also that price reductions and financial incentives have lowered bicycle revenue, and regulatory point revenue has shrunk from $439 million to $146 million. More noteworthy is that Tesla still had a $1.005 billion floating profit in SpaceX equity this quarter, which is why its net profit on paper is not as bad. The operating profit that truly reflects the quality of the main business is actually very thin. Cash flow should also be viewed separately. Tesla's operating cash flow of $4.697 billion does not mean that its automotive business does not generate cash; But AI computing power, Robotaxi, Optimus, and factory construction pushed capital expenditures up to $5.789 billion, resulting in a negative free cash flow of $1.092 billion. Ultimately, it is the traditional automotive industry that is injecting blood into the future of 'physical AI'. The question is not whether Tesla dares to spend money, but when Robotaxi and Optimus can go from valuation stories to real profits. Google is another situation. The total revenue was 119.8 billion US dollars, a year-on-year increase of 24%; Search grew by 17%, YouTube ads grew by 13%, and Google Cloud grew by 82% to $24.77 billion. The operating profit of cloud business increased from 2.83 billion US dollars to 8.81 billion US dollars, and the profit margin increased from 20.7% to 35.6%. This indicates that Google's AI has started to make money: companies are willing to pay for Gemini, AI computing power, cloud services, and TPU, and AI is not weakening search, but rather enhancing the original advertising and cloud businesses. But Google's problem is equally evident. Single quarter capital expenditures reached $44.9 billion, exceeding $39.1 billion in operating cash flow, resulting in a negative free cash flow of $5.86 billion; The annual capital expenditure guidance has also been raised again to $195-205 billion. On the surface, the $9.11 EPS cannot be directly seen, with most of it coming from equity investments, including SpaceX's floating profits. After excluding it, the core EPS is about $2.85, slightly lower than expected. Google is changing from a light asset Internet company to a heavy asset AI company that needs to constantly build chips, servers, data centers and energy facilities. So, both financial reports may seem like "AI burning money", but their essence is different: Google has proven that AI can create revenue and profits, and now the answer is whether the return can cover the investment; Tesla's AI has not yet generated large-scale revenue, but the profits of its automotive business have already been eaten up. Judging solely from the quality of this quarter's financial report, Google is clearly stronger than Tesla. The standards for evaluating AI companies in the market will also change in the future - no longer just based on who invests more and tells a bigger story, but on how much profit and cash flow can be earned from every dollar of capital expenditure.