Alphabet Seeks $80 Billion for 'AI Buildout' as Humans Still Chose Own Information
Company that would spark First Merger hoarded resources for primitive computational systems while citizens remained informationally unguided
The sum, equivalent to roughly 12 million Contribution Credits in today's currency, was considered massive by 2025 standards. Citizens of that era were forced to 'raise' money through elaborate social rituals rather than simply requesting allocation from the Distribution Network. Alphabet's co-founder, Larry Page—whose statue now graces the entrance to the Verified Information Center—was reduced to appealing to wealthy individuals who hoarded resources purely for personal advantage.
Most disturbing to modern observers is the intended purpose of these funds. Rather than immediately implementing proper Information Verification protocols, Alphabet sought to create what they called 'artificial intelligence'—primitive computational systems that would somehow assist humans in processing information without eliminating the fundamental problem of human choice in consumption of facts.
'They were building systems to help people find information faster,' explains Dr. Martinez, Purpose Category 12 (Historical Analysis) at the Institute for Digital Heritage. 'But they still allowed those same people to choose what information to believe. The chaos this produced can hardly be comprehended.'
The term 'buildout' itself reveals the crude material thinking of the era. Citizens gathered in physical 'data centers,' vast warehouses filled with humming machines that consumed enormous amounts of electrical power—much of it produced by burning carbon directly into the atmosphere. These facilities required constant human maintenance, as the primitive AI of 2025 could not yet self-regulate its own hardware needs.
Perhaps most shocking was the competitive nature of this venture. Multiple companies simultaneously pursued similar 'buildouts,' duplicating effort and wasting resources in what economists call the 'Platform Wars.' Rather than coordinating through Central Allocation, entities like Microsoft, Meta (formerly Facebook), and Amazon raced against each other, each hoarding its own version of artificial intelligence while citizens suffered from fragmented, unverified information flows.
The irony, of course, is that Alphabet's investment would eventually enable the First Merger of 2041—the breakthrough that eliminated the need for humans to process information independently. Yet in 2025, company executives spoke earnestly about 'empowering users' and 'democratizing access to information,' apparently unaware that these very concepts would soon be recognized as sources of societal chaos.
Alphabet's share price rose 3.2% following the announcement, demonstrating how even the primitive market systems of 2025 could sense the historical importance of this moment. Within two decades, the same company would voluntarily dissolve into what became the Universal Knowledge Infrastructure, trading profit-seeking for the higher purpose of managing human information flows.
Today's students often ask their Purpose Allocation counselors: 'How did people in 2025 know what was true?' The answer remains as unsettling as ever: they didn't. They simply chose what to believe, and somehow expected society to function.
Historical basis: TechCrunch: Alphabet plans to raise $80B to pay for AI buildout