Coinbase rolls out stock trading, prediction markets in ‘everything app’ push

cointelegraphPubblicato 2025-12-17Pubblicato ultima volta 2025-12-17

Introduzione

Coinbase has expanded its services by launching stock trading and prediction markets as part of its strategy to become an "everything app." The crypto exchange announced the availability of stock and ETF trading in the U.S., with plans for 24/7 global access. Additionally, Coinbase partnered with Kalshi to introduce prediction markets, initially rolling out outside the U.S. The company also revealed plans to offer 24/7 perpetuals with high leverage early next year, allowing bets on both crypto and stocks. These moves align with Coinbase's broader rebranding effort earlier this year to include apps, social features, and chat functionalities.

Coinbase is launching stock trading and prediction markets as the crypto exchange looks beyond digital assets to chase its ambition of creating an “everything app.”

Coinbase head of consumer and business products, Max Branzburg, announced at the company’s year-end conference that “stock trading is now available on Coinbase.”

“This is a major milestone in our plan to enable 24/7 trading of stocks and ETFs from anywhere in the world, powered by crypto,” he said.

Branzburg also said that Coinbase has launched prediction markets in partnership with Kalshi, which will begin its rollout today and later come to the US.

Last month, tech researcher Jane Manchun Wong discovered that Coinbase was developing a prediction markets platform, which indicated it would be backed by Kalshi.

Related: Crypto’s ‘super app’ race is on as industry enters aggregation era: Report

Coinbase is also set to offer 24/7 perpetuals early next year, which will allow users to bet on crypto and stocks gaining or dropping with up to 50 times leverage.

Branzburg said that the new product lineup is part of Coinbase’s “everything exchange.” The company started to lay the groundwork for a wider set of offerings in July, rebranding its wallet app as an “everything app” that added apps, social networks and chat features.

Magazine: Can Robinhood or Kraken’s tokenized stocks ever be truly decentralized?

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Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

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Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

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OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

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OpenAI No Longer Sells Its Most Expensive Model for Profit

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Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

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Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

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