Doomsday AI report goes viral
Some AI gig workers make $1,000 an hour
Doomsday AI report goes viral
Some AI gig workers make $1,000 an hour
Reuters scales AI for regulated industries
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Doomsday AI report goes viral
A new article offering an apocalyptic vision of humanity’s future with artificial intelligence has gone viral and caused stock prices to tumble in major tech and financial firms. “The 2028 Global Intelligence Crisis,” published Sunday by Citrini Research, strikes a doomsday tone about the looming threat of AI to white-collar work, and what could potentially lead to a “global intelligence crisis.”
“For the entirety of modern economic history, human intelligence has been the scarce input,” wrote Citrini Research in the report. “We are now experiencing the unwind of that premium.” It continued: “Machine intelligence is now a competent and rapidly improving substitute for human intelligence across a growing range of tasks. The financial system, optimized over decades for a world of scarce human minds, is repricing. That repricing is painful, disorderly, and far from complete.”
The authors noted the article was not a prediction, but a hypothetical situation as if it were June 2028, and posed the question of whether “our AI bullishness continues to be right…and what if that’s actually bearish?” Despite the cautionary note, the article spread like wildfire Monday. Shares in software firms that utilize AI - Datadog, CrowdStrike and Zscaler - each dropped more than 9 percent. IBM, which has an integrated AI development studio Watsonx, also saw its stock drop 13 percent, in its worst one-day performance since 2000. American Express, KKR and Blackstone, all mentioned in the Citrini post, also fell, according to The Wall Street Journal.
The fears of AI disruption are “happening sooner than most folks anticipated,” Jordan Rizzuto, chief investment officer for investment strategy research firm GammaRoad Capital Partners, told the Journal. “Such is the nature of an accelerating technology.”....
Read the original on Citrini Research
Some AI gig workers make $1,000 an hour
A common proclamation made by tech leaders is that while artificial intelligence will destroy jobs, it will also create many new ones. But what kinds of new careers will AI spark? And, more importantly, will they last? Few spell out what will replace the swathes of white-collar roles that could be automated out of existence in the coming years. New forms of employment such as AI researchers and prompt engineers are few and far between.
There is one clear example of “new work” being triggered by AI: professional trainers for the software models. Several startups with names like Surge AI (valued last year at $25 billion) and Turing (valued at $2.2 billion, according to Pitchbook) populate a new market hiring white-collar professionals to train AI systems, usually as contractors, to form a new kind of office-worker gig economy. Among the biggest is Mercor.io Corp., founded in 2023 in San Francisco and valued at $10 billion, and frequently named as one of the fastest growing startups in AI. Around 30,000 people from a wide range of disciplines — lawyers, doctors, financial consultants, cooks, osteopaths — are paid hourly by Mercor to train AI models to become more proficient in those fields, often for clients like OpenAI, Anthropic and Google. Mercor plans to grow its contractor base “by many orders of magnitude,” founder and Chief Executive Officer Brendan Foody tells me.
Their work is done in secret, protected by hefty non-disclosure agreements, and is technically challenging. Contractors sometimes create scoring guides known as “evals” or “rubrics,” which are then used to teach AI models and evaluate their responses, a bit like designing the bar exam to test human lawyers. Grim and paradoxical as it seems to train an AI that could replace you, Mercor’s contractors say the pay is excellent. One of them, who declined to be identified, told me they’ll never make as much money as they are right now.
But let’s presume there are roughly 100,000 professionals doing expert AI training work today, on top of the millions more doing the traditional low-paid data labeling. It is hard to tell if this will be the new form of work that fills the hole AI could leave in labor markets, while many other jobs morph. But for this new generation of professional gig workers, the future looks murky when you consider what happened to the older market of lower-paid data labelers. Many are now being squeezed out of their roles, with software handling simpler tasks and the new, expert trainers taking over complex ones….
Read the original on Bloomberg
Reuters scales AI for regulated industries
One million professionals have chosen CoCounsel, the company’s professional-grade AI technology, across 107 countries and territories. The milestone reflects a broader transition underway across high-stakes industries including legal, risk, compliance, tax, accounting, audit and global trade professionals. AI is moving from experimentation to production. Rather than standalone tools, firms are embedding AI directly into daily workflows where accuracy, sourcing, and data protection are essential.
It integrates into the tools professionals already use, analyzes licensed content refined over 175 years, incorporates expert-developed validation logic, and delivers structured, citation-backed outputs. “Professionals are not deciding whether to use AI anymore. They are deciding which AI they trust when their reputation and their clients’ data are on the line,” said Steve Hasker, President and Chief Executive Officer, Thomson Reuters. “CoCounsel is built for moments when being almost right is not good enough. It is grounded in decades of authoritative content, validated by domain experts.
The next generation of CoCounsel Legal, entering beta soon, is designed around conversational task execution. Soon, legal professionals within law firms and corporations, will be able to describe an objective as they would brief a colleague. CoCounsel will build a plan, retrieve authority from Westlaw and Practical Law, search relevant user documents and precedent, analyze the material, verify that citations remain in good law, and deliver structured work product within a single system....
Read the original on PR newswire