This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
根据麦肯锡和贝恩咨询等机构的估计：到2030年AI相关资本支出约5.2万亿美元，再加上传统负载相关资本支出约1.5万亿美元，合计接近7万亿美元，堪比美国联邦年度预算规模；而当前AI市场产生的年度收入约为20亿美元级别。这意味着：投资与收益之间的裂缝接近100倍级别。
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