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Anthrоpic аnd OpenAI аre tаking very different paths in the AI race. Anthrоpic is pursuing a cautiоus, efficiency-driven approach; it focuses on business clients and on keeping costs in line with revenue, aiming to reach profitability within a few years. OpenAI, meanwhile, is following an aggressive expansion approach. It is investing heavily in computing infrastructure, new products, and talent to dominate the market, even at the cost of massive short-term losses. What underlying assumptions about market evolution, technology evolution, and competitive advantage drive Anthropic’s cautious approach? Which assumptions drive OpenAI’s more aggressive approach? In emerging, fast-moving industries like AI, when might a “scale-first” approach outperform a “focused-efficiency” approach and vice versa? Could Anthropic’s disciplined approach allow it to survive industry shakeouts that might threaten OpenAI’s capital-intensive model? Or is it more likely that OpenAI’s scale will create barriers Anthropic cannot cross? Is scale the most important ingredient of competitive advantage? Why or why not? If you were an investor or strategist, which approach would you back for long-term leadership in AI, and why? Anthropic Is on Track to Turn a Profit Much Faster Than OpenAI -- WSJ Dow Jones Institutional News; New York. 10 Nov 2025. By Berber Jin The finances of Silicon Valley's two largest artificial-intelligence startups show their diverging approaches to the AI boom, with Anthropic on a pace to turn a profit far more quickly than rival OpenAI, according to documents obtained by The Wall Street Journal. Anthropic, which has a growing number of business users because of the capabilities of its Claude chatbot in coding and other arenas, expects to break even for the first time in 2028, the documents show. By contrast, OpenAI forecasts its operating losses that year to swell to about $74 billion -- or roughly three-fourths of revenue -- thanks to ballooning spending on computing costs. The ChatGPT-maker also expects to burn through roughly fourteen times as much cash than Anthropic before turning a profit in 2030. The financial road maps, both shared with investors this summer, suggest that the world's two most-valuable AI startups are taking vastly different approaches to growing their businesses. OpenAI expects thinner margins than Anthropic from its sales for the next five years. Yet it is investing far more in the chips and data centers needed to build its AI technology, and doling out more stock-based compensation to attract top researchers. The aggressive plan reflects chief executive Sam Altman's dream of turning OpenAI into a multitrillion-dollar tech giant, his desire to set the pace of the AI boom and his seemingly unending tolerance for risk. The strategy requires near-constant fundraising to keep the startup alive and could backfire if markets cool on the technology or its near-term profitability. Investors have punished tech companies in recent weeks over concerns about AI spending and whether there will be enough revenue to pay for the extensive build-out in AI infrastructure. The financial figures for OpenAI came before the startup signed a string of new computing deals with cloud and chip giants -- meaning that it is likely set to spend even more in the coming years. Altman said on X that the deals put OpenAI on the hook for up to $1.4 trillion in commitments over the next eight years, leading industry skeptics and some investors to grow doubtful about the startup's ability to pay for them. The documents suggest that Anthropic is taking a more cautious approach, with costs growing at a pace more in line with revenue. The company is focused on increasing sales among corporate customers -- which account for about 80% of revenue -- and is avoiding OpenAI's costly forays into image and video generation, which require much more computing power. Anthropic's AI models have also taken off among coders. Anthropic was founded four years ago by Dario Amodei, a former Google researcher who left OpenAI after a feud with Altman. The startup was caught flat-footed after the viral release of ChatGPT, which gave OpenAI a giant user base and a lengthy head start on sales. Anthropic focused instead on selling its Claude chatbot to businesses, and recently grew its valuation to $183 billion. OpenAI is valued at $500 billion. Almost every major Silicon Valley investor has a stake in one of the two companies, hoping to cash in on what could be the largest initial public offerings in tech history. The world's three biggest cloud companies also have tied their growth to the startups. Microsoft is OpenAI's largest cloud provider, while Amazon and Google are for Anthropic. Privately held companies often disclose revenue figures if they are growing quickly, but keep the rest of their finances a secret because they often tell a far less impressive story. The approach is especially true for AI developers that don't want to disclose the extraordinary rate at which they are burning cash. The Journal is reporting Anthropic's base case projections, not its more optimistic forecasts. The Information earlier reported on some of the financial figures for both companies. The documents show that OpenAI expects to burn $9 billion after generating $13 billion in sales this year, while Anthropic expects to burn almost $3 billion on $4.2 billion in sales -- roughly 70% of revenue for both. Anthropic then goes on to project as a much more efficient business. In 2026, it forecasts dropping its cash burn to roughly one-third of revenue, compared with 57% for OpenAI. Anthropic's burn rate falls further to 9% in 2027, while it stays the same for OpenAI. OpenAI's large upfront investment, particularly for new chips and data centers, could pay off handsomely if demand for its products continues to surge. The company recently launched a new video app called Sora and a web browser named Atlas. It is working on a new consumer hardware device, e-commerce and advertising features for ChatGPT, and humanoid robots. The company is spending almost $100 billion on backup data-center capacity to cover unforeseen demand from future products and research, the documents show. It is setting aside much more computing capacity for new AI research than Anthropic. "We believe the risk to OpenAI of not having enough computing power is more significant and more likely than the risk of having too much," Altman recently posted on X. Last week, OpenAI chief financial officer Sarah Friar said the company had healthy margins and could break even if it wanted to. She highlighted the fast growth of OpenAI's enterprise business and said the startup was still experimenting with new business models.
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Yоu hаve recently аpplied fоr а managerial pоsition at Amazon, which is widely considered to be a best-cost provider in retail. During your interview with the company, you have been asked to explain the differences between cost drivers and uniqueness drivers. You would correctly say that