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America’s oldest bank spends billions on tech

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America’s oldest bank bets big on AI

The BNY headquarters in New York, US, on Wednesday, July 10, 2024.

Jeenah Moon | Bloomberg | Getty Images

At America’s oldest bank, 134 new workers don’t sleep or take sick days. They don’t even have names.

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They’re what BNY calls “digital employees.” They work side by side with humans. They have unique roles and are evaluated by how well they do them. Some of their jobs were done by people last year.

“The digital employee works 24/7, which is obviously very different to our human counterparts,” said Rachel Lewis, who oversees nine digital employees in addition to thousands of humans as head of payment operations for BNY.  “It’s really focused on very specific repetitive tasks that allow our human employees to do much more human, intense, interesting-type roles.”

BNY employs 48,100 humans, down from about 53,400 in 2023, according to a recent earnings presentation. CFO Dermot McDonogh was asked on the firm’s fourth-quarter analyst call last month what the 134 digital employees mean for cost savings at the firm. 

America’s oldest bank bets big on AI

“Our head count has trended down a little bit, but that’s not really anything to do with AI yet,” McDonogh said. “We talk about, internally, AI is unlocking capacity. We don’t think about it in the narrow definition of efficiency. It’s all about growing with clients, increasing revenues and optimizing the potential for our employees.” 

Across Wall Street, analysts and investors are starting to ask more questions about how the industry’s expenses on AI will translate into higher efficiencies and greater returns. BNY spent $3.8 billion on technology in 2025, or about 19% of its revenue. That’s the highest proportion among its large-bank peers, according to data collated by CNBC.

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JPMorgan, Goldman Sachs, Bank of America, Wells Fargo, Citigroup, BNY

“There’s an AI arms race. The banks are part of that, said Wells Fargo analyst Mike Mayo. “But you don’t define success by who spends the most. You define success by who has the best results.”

“It’s a lot of ‘spraying and praying’ when it comes to spending on tech, generally,” he said. 

However, BNY has been identified as one of the companies that could see the biggest benefits from AI. Goldman Sachs’ research team screened the Russell 1000 for potential productivity improvements, based on labor costs and wage exposure to AI automation. The firm ranked BNY toward the top of that list, saying the bank could see a potential 19% boost to earnings per share. 

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But in several conversations CNBC had with executives at BNY, they’ve been steadfast that the multitude of technology investments won’t come at the expense of human employees.

“I wouldn’t think about it that way,” said Michelle O’Reilly, BNY global head of talent. “I would think about it more as unlocking that productivity – enabling all employees to be productive.”

While the company is building more digital employees, it’s also upskilling the human ones. Shortly after ChatGPT was released in late 2022, BNY set up its AI Hub. 

“That’s when we really doubled down and realized that this would be transformational for the bank,” said Leigh-Ann Russell, BNY’s chief information officer and global head of engineering. “Our biggest focus initially was enablement – getting some training rolled out to every one of our employees at the bank.”

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BNY built a platform it calls Eliza, which pulls in a variety of open-source, commercially available models that are integrated with the firm’s internal data and compliance. Almost all of BNY’s workforce has completed a 10-hour training for Eliza, and thousands more have taken it a step further through a multi-day AI bootcamp that can help non-engineers find creative ways to automate parts of their jobs. 

The name “Eliza” is a tribute to Elizabeth Schuyler Hamilton, the wife of the bank’s founder and America’s first Treasury Secretary, Alexander Hamilton. 

“Democratization of this technology is one of our sweet spots on how we feel like we’ve been successful so far,” Russell said. “I have this juxtaposition of this original history of this amazing 241-year institution and being at the forefront of AI, and I think that’s just a lovely reminder of technology over the centuries.”

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Crypto World

Why It’s Among the Leading Crypto Portfolio Trackers in 2026

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Crypto Breaking News

Managing a crypto portfolio in 2026 is no longer a simple task. Investors often operate across centralized exchanges, on-chain wallets, DeFi protocols, NFTs, and multiple blockchains at the same time. As portfolios become more fragmented, the need for reliable, centralized tracking tools has become essential.

Among the platforms addressing this challenge, CoinStats has emerged as one of the most widely adopted solutions. With more than one million users and over $100 billion in assets tracked, CoinStats has positioned itself as a core portfolio intelligence tool for modern crypto investors.

This article takes a closer look at what CoinStats offers, how it fits into today’s crypto landscape, and why it is considered one of the leading portfolio trackers available.

A Unified View of an Increasingly Fragmented Market

One of the main issues crypto investors face today is fragmentation. Assets are spread across exchanges, wallets, Layer 1s, Layer 2s, and DeFi protocols. Tracking exposure manually quickly becomes inefficient and error-prone.

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CoinStats crypto tracker addresses this problem by offering a unified dashboard where users can connect all their wallets and exchanges in one place. The platform supports more than 120 blockchains, over 300 wallets and centralized exchanges, and more than 1,000 DeFi protocols.

Popular integrations include Binance, Coinbase, MetaMask, Phantom, Trust Wallet, and many others. Once connected, balances and transactions are automatically synchronized, removing the need for manual updates.

Beyond Balances: Portfolio Analytics That Matter

While many portfolio trackers stop at balance aggregation, CoinStats goes further by providing in-depth portfolio analytics. Users can access advanced Profit and Loss analysis, historical performance tracking, and detailed portfolio breakdowns.

These insights allow investors to better understand how their strategies perform over time, which assets contribute most to returns, and where risks may be concentrated. For traders operating across multiple platforms, having this level of clarity in one interface is a significant advantage.

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AI-Driven Portfolio Intelligence

CoinStats has also expanded its feature set with the introduction of a multimodel AI assistant designed for deep research and portfolio intelligence. This tool helps users analyze tokens, explore market trends, and gain contextual insights that go beyond surface-level data.

The AI assistant reflects a broader shift in crypto tooling toward data-driven decision support. While advanced research features require a paid subscription, the integration highlights CoinStats’ focus on evolving with the needs of more sophisticated users.

Risk Awareness in a Volatile Environment

Risk management remains one of the most overlooked aspects of crypto investing. CoinStats addresses this through features such as its Token Risk scanner, which helps users evaluate assets before adding them to their portfolios.

Combined with detailed asset data and AI-powered price predictions, this functionality supports more informed decision-making, particularly in fast-moving or speculative markets.

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Designed for Active Users

Accessibility is another area where CoinStats stands out. The platform is available on both mobile and web, allowing users to monitor their portfolios on the go. This is especially important for active traders who need real-time visibility without being tied to a desktop setup.

As decentralized trading and on-chain activity continue to grow, mobile-first access to portfolio data is becoming a baseline expectation rather than a bonus feature.

Key Strengths at a Glance

  • Broad support across wallets, exchanges, and blockchains

  • Unified tracking for CeFi, DeFi, and NFTs

  • Advanced Profit and Loss analysis and portfolio insights

  • Multimodel AI assistant for research and intelligence

  • Token Risk scanner for asset evaluation

  • Automatic balance and transaction synchronization

  • Available on mobile and web

Limitations to Keep in Mind

Like most advanced platforms, CoinStats is not without trade-offs. Some AI-driven research features are available only through paid plans, and support for newer Layer 2 networks may occasionally lag behind major chains. However, these limitations are relatively minor when weighed against the platform’s overall functionality.

Final Thoughts

As crypto portfolios continue to span multiple ecosystems, tools that offer clarity, automation, and insight are becoming essential. CoinStats stands out not because it follows trends, but because it addresses real operational challenges faced by modern crypto investors.

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With its extensive integrations, advanced analytics, and growing focus on AI-driven intelligence, CoinStats has earned its place among the leading crypto portfolio trackers in the market today.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Crypto World

Bitcoin, Ethereum, Crypto News & Price Indexes

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Bitcoin, Ethereum, Crypto News & Price Indexes

Solana’s SOL (SOL) has dropped 38% over the last 30 days, falling to a two-year low of $67 on Friday. Multiple analysts believe that the downside is not over for the seventh-placed cryptocurrency, with downward targets extending as low as $30.

Key takeaways:

  • Solana’s head-and-shoulders pattern targets a SOL price of $50 or lower.

  • MVRV bands point to a potential bottom, but support at $75 must hold.

SOL/USD weekly chart. Source: Coitelegraph/TradingView

Solana targets $42 after bearish confirmation

SOL price has already lost over 72% of its value since a cycle top of around $295 in January 2025. In doing so, its price confirmed a head-and-shoulders (H&S) pattern on multiple time frames.

Related: Pump.fun moves deeper into trading infrastructure with Vyper acquisition

Crypto analyst Bitcoinsensus shared a chart showing SOL validating a H&S pattern, hinting at more downside ahead.

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“Solana has confirmed a breakdown from this macro Head & Shoulders pattern,” Bitcoinsensus said in a Monday post on X, adding:

“​​The target could be as low as $50 per $SOL.”

SOL/USD weekly chart. Source: X/Bitcoinsensus

“This is a classic head and shoulders pattern with a measured move to $45,” analyst Nextiscrypto said about SOL’s two-week chart. But other analysts said the price can go even lower.

Pseudonymous analyst “Shitpoastin” said Solana’s price has also formed a “massive head and shoulders” pattern on the monthly chart over two years, “with nothing but air until $30.”

Source: X/Shitpoastin

The two-day candle chart, meanwhile, shows that SOL price had broken below the H&S neckline at $120 on Jan. 30.

SOL/USD two-day chart. Source: Cointelegraph/TradingView

The measured target of the H&S pattern, calculated by adding the head’s height from the breakdown point, is $57, representing a 32% drop from the current level.

Solana’s MVRV bands give hope for a bottom at $75

SOL’s price crash last week was stopped by support from the lowest boundary of its MVRV extreme deviation pricing bands, currently at $75.

These bands show when SOL is below or above the average price at which traders last moved their coins.

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Solana MVRV extreme deviation pricing bands. Source: Glassnode

Historically, SOL prices drop to near or even below the lowest MVRV band before a bottom is reached.

That includes the March 2022 bounce, when the SOL price rose 87% within three weeks to $140 after testing the lowest MVRV deviation band around $75. A similar rebound occurred earlier in December 2020.

Solana’s association with the FTX crash in November 2022, however, saw a significant deviation below this band, with the price dropping another 70% and bottoming around $7 in December that year.

Therefore, SOL’s drop below $75 spark the next phase of the correction as seen in 2022, likely aligning with the H&S target.