GoKawiil
Tech News
Policymakers and financial leaders gathered at the IMF's meeting in Bangkok this week focused much of their discussion on artificial intelligence's economic impact. Conversations ranged from AI's potential to boost productivity and growth to concerns about financial instability and market risks tied to the technology's rapid adoption.
Andreas Stuhlmüller, CEO of AI research firm Elicit, posted a tweet recommending people stockpile cash, water, food, a Starlink terminal, batteries, solar panels and an emergency radio in case AI-powered cyberattacks disable financial systems, power grids or the internet. His advice follows a cyberattack on refrigeration systems at hundreds of French grocery stores that spoiled food and caused fires, with Intermarche's CEO estimating losses of tens of millions of euros in a single day.
The IMF's latest Global Financial Stability Report identifies three risks that could trigger a sharp tightening of financial conditions: a correction in AI-related asset prices amplified by leverage, a jump in sovereign bond yields from inflation or fiscal strain, and growing cyberattack threats. The fund also points to vulnerabilities among weaker banks, insurers, pension funds, private credit, hedge funds and emerging markets that could turn market stress into a systemic crisis.
A new survey finds that 70% of Americans intend to make purchases during this year's Black Friday and Cyber Monday sales events. The report ties the trend to growing emphasis on bargain hunting as a core part of holiday shopping plans.
New figures cited in the report show that average net worth for Americans around age 50 has risen, but median net worth—a more representative measure—lags far behind. The disparity highlights how wealth concentrated among high-net-worth households skews the average upward, masking the financial reality for typical families.
The International Monetary Fund's latest Global Financial Stability Report warns that the global economy's growing dependence on AI-related capital flows could harm GDP, investment, and consumption by 2028 if the sector crashes. The report distinguishes between 'core' AI firms like Nvidia and TSMC, which have years of production already booked, and weaker non-core players whose circular financing arrangements pose broader risk. The IMF found $300 billion invested in financially weaker AI companies plus $650 billion in debt tied to $1.4 trillion in revenue, concentrated among a small number of firms.
The IMF's Global Financial Stability Report, released Tuesday in Bangkok, warned that sovereign bond yields could rise sharply and disorderly as inflation, high debt loads and rollover risks strain government bond markets. It noted global public debt is nearing its highest level since World War II and approaching 100% of GDP, while AI firms' borrowing now makes up about 10% of global investment-grade bond issuance, up from under 1% since 2024.
The Financial Times reported that internal memos OpenAI sent investors in late September projected annualized revenue approaching $50 billion, roughly $20 billion below an earlier $70 billion figure that had previously circulated among investors. OpenAI had not disputed the higher $70 billion estimate before the new figure emerged. News of the revised forecast coincided with a 1.25% drop in the Nasdaq and nearly 3% decline in Nvidia shares on Thursday.
The Financial Times reports OpenAI told investors its annualized revenue is 'approaching $50 billion,' roughly $20 billion below a figure circulated just over a week earlier. That earlier $70 billion estimate had reportedly been constructed by OpenAI's own investors using company-shared data to compare against Anthropic's reported run rate, but the two firms calculate annualized revenue differently since Anthropic counts sales from cloud partners while OpenAI does not.
A peer-reviewed study in the Journal of Financial Crime examined 72 flash loan attacks between February 2020 and July 2024 that drained $1.211 billion from DeFi platforms, part of 254 total attacks costing $6.568 billion across 20.63 billion transactions on seven blockchains. The researchers found that attacks exploiting flaws in protocol logic rose from 28% of flash loan losses in the first two years of the study to 55% in the most recent period, overtaking price oracle manipulation as the dominant technique.
A new commentary argues that quantum computing has moved past theoretical promise into applied use, citing challenges like disease research, complex financial portfolio management, and secure communications as areas where current quantum tools can already contribute. The piece frames quantum computing as a usable technology today rather than a distant future capability.
Hackers targeted major South Korean banks using an open-source AI security agent to assist in breaching the financial institutions' systems. The incident marks a notable instance of AI tools being incorporated into a real-world attack on banking infrastructure.