Chicago Fed President Austan Goolsbee has Forecasted More Rate Cuts

TheNewsCryptoPublicado em 2026-02-27Última atualização em 2026-02-27

Austan Goolsbee, President of Chicago Federal Reserve, has forecast more rate cuts. But he has based his forecast on one limit. His forecast comes at a time when the crypto market could possibly use a push for new highs. Gold and Silver as alternatives have so far held their grounds amid the rising uncertainty.

Chicago Fed President on Rate Cuts

Chicago Federal Reserve President Austan Goolsbee has forecasted more rate cuts in 2026. He has said that there could be several rate cuts later this year; however, he has urged policymakers to be careful, as it could lead the economy and inflation into trouble.

His statement came during a media interaction wherein he also highlighted the goal of 2% inflation. With this, Austan Goolsbee has become one of the few policymakers who are positive that the rate will be slashed in 2026.

The US Federal Reserve last met at the end of January 2026 and kept the rate unchanged. Around a 25 bps rate cut was expected by a small portion of the community. Over 97% of them had maintained that there could be no rate cut.

Surge Across the Crypto Market

The crypto market, even though it is down over 24 hours, has marked a comparative uptick. For instance, BTC dropped to $62,694.75 on February 24, 2026. The token has, since then, jumped to $66,222.15. The new value is still down by 2.90% over the last 24 hours.

Similarly, ETH was trading at $1,807.64 on February 24, 2026. It is now exchanging hands at $1,964.65, up by 0.75% on a weekly basis. Overall, the crypto market has shed 2.22% in terms of collective market cap, and the FGI has shifted slightly upwards to 16 points.

Performance of Alternatives

Two basic alternatives, Gold and Silver, have maintained their momentum. Gold has dipped by 0.15%, but continues to trade above the $5k mark. It was last seen at $5,177.90 per ounce. Notably, it translates to 3.53% gain over the last 5 days and 51.32% gain in the last 6 months.

Silver has moved in the opposite direction by climbing 1.59% to reach $89.68 per ounce. Its 6-month gain comes to 132.10%, and a week’s uptick stands at 5.95%. Meanwhile, the Dollar has lost 0.01% on the index against the basket of currencies. It is now at 97.776.

Highlighted Crypto News For Today:

Polymarket Bets Spark Insider Trading Concerns

TagsFederal Reserverate cuts

Perguntas relacionadas

QWhat is the main forecast made by Chicago Fed President Austan Goolsbee regarding interest rates?

AHe has forecasted more rate cuts in 2026.

QWhat specific caution did Goolsbee express about implementing rate cuts?

AHe urged policymakers to be careful, as it could lead the economy and inflation into trouble.

QWhat was the price of Bitcoin on February 24, 2026, and what was its subsequent price mentioned in the article?

ABitcoin dropped to $62,694.75 on February 24, 2026, and later jumped to $66,222.15.

QHow has the value of Silver changed, and what was its 6-month gain percentage?

ASilver climbed 1.59% to reach $89.68 per ounce, with a 6-month gain of 132.10%.

QWhat was the overall expectation of the community regarding a rate cut at the last US Federal Reserve meeting in January 2026?

AOver 97% of the community maintained that there could be no rate cut, though a small portion expected around a 25 bps cut.

Leituras Relacionadas

Zcash Bug Could Have Minted Unlimited ZEC Undetected

A critical vulnerability in Zcash's Orchard shielded pool, discovered by researcher Taylor Hornby on May 29, 2026, could have allowed an attacker to create an unlimited amount of undetectable counterfeit ZEC. The flaw, involving an under-constrained element in the Orchard circuit, existed from the pool's 2022 activation until an emergency fix was deployed by June 2, 2026. Hornby identified the bug using AI-assisted auditing tools and confirmed its exploitability in a test environment. Due to Orchard's privacy features, which hide transaction amounts and history, there is no cryptographic way to prove whether the vulnerability was exploited before the fix. While Shielded Labs assesses prior exploitation as unlikely, this uncertainty has sparked a debate on proving supply integrity in privacy-preserving systems. In response, Shielded Labs and other developers are exploring a network upgrade, potentially involving a new shielded pool and formal verification of the circuit rules to prevent future vulnerabilities and allow verification of the ZEC supply's integrity. ZEC's price fell nearly 45% following the disclosure.

bitcoinistMesmo agora

Zcash Bug Could Have Minted Unlimited ZEC Undetected

bitcoinistMesmo agora

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbitHá 1h

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbitHá 1h

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbitHá 1h

Token Inefficient, Economy Tokenless

marsbitHá 1h

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbitHá 1h

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbitHá 1h

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbitHá 1h

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbitHá 1h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow