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Managing financial AI agents is the only skill you’ll need to survive the AI layoffs

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Goldman Sachs AI graph

AI is infiltrating every layer of society, finance included. What began as asking ChatGPT about your deepest money worries has rapidly evolved into agents capable of reasoning, executing and coordinating across markets with minimal human intervention.

The pace of change at the intersection of AI and finance is daily, not weekly. Goldman Sachs has warned of AI-fueled layoffs, while Citrini Research’s brief job-displacement scare sparked an AI trade, signaling the scale of disruption ahead. As Matt Shumer wrote in ‘Something Big is Happening,’ adaptability may be the only durable advantage, and now is the time to get your financial house in order.

Goldman Sachs AI graph

There’s a simpler way to think about surviving and thriving in the AI era. Instead of trying to outlearn every new AI tool, focus on mastering the AI skills that will build a financial buffer or even a nest egg. Creating insulation against AI-driven disruption that’s coming.

Those who learn to deploy finance AI agents to build capital on their behalf won’t need to obsess over whether their current role survives the next restructuring or scramble to master every new AI release. They’ll be building the means to survive and thrive through the next wave of AI layoffs, using AI.

The greater financial risk may be doing nothing without considering the latest AI alternatives. The opportunity cost of ignoring agents isn’t just missed returns; it’s remaining reactive, paralyzed or paying fund manager fees while the window of gains narrows. Instead of panicked ChatGPT searches, this is a chance to take deliberate control of your financial house, learning just one new skill.

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That new skill is agent selection. With the right team of agents doing the heavy lifting with your investments, operating within clear constraints and aligned to defined goals, anyone could be future-proofing their finances.

It’s time to put AI in the financial field

AI is the great equalizer, unlocking the ability for everyone to build generational wealth beyond the elites. AI has the potential to be a major multiplier for anyone’s investments by trading markets better, faster, cheaper, and on repeat, with minimal human intervention. What remains to be seen is whether the rest of us will seize this window of opportunity while institutions hold the headstart.

Today, AI agents for traders remain largely underutilized by the AI-curious. Either confined to institutions or misunderstood by individuals, where perceptions of risk are shaped more by OpenClaw headlines than by how agent risk is actually managed with human oversight, strict controls and proper security, designed by dedicated teams.

Many self-described financial use cases still resemble people treating AI chat interfaces like magic eight balls for money decisions, rather than harnessing the full strategic power of this breakout technology. Nearly one in five (19%) globally now use AI tools to build or adjust their portfolio (eToro), and almost two in five (39%) Brits use AI tools for future financial planning (Lloyds Group). Seeking incremental advice on DIY finance won’t deliver the exponential gains– disciplined execution will.

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It’s time to rethink where human judgment adds most value. It makes financial sense to play to our strengths, let humans do what AI can’t and leave AI to do the heavy lifting. Humans are best at defining their investment goals, allocating capital thoughtfully, setting risk constraints and deciding when to intervene. AI is best at executing trades with discipline and precision.

AI is already better at trading than humans

AI is starting to deliver material returns for quant funds and high-frequency traders. AI quant hedge fund Ningbo’s High-Flyer disclosed an average 52.55% return in 2025, placing it top of the industry’s leaders.

Caixin Global AI graph

By comparison, 84% of retail traders lost money in their first year of trading crypto. The uncomfortable truth is that most traders don’t lose money because they lack information; they lose because they lack discipline. AI doesn’t sleep, hesitate, panic, get bored, impulsively or revenge-trade like humans.

Agents watch every market 24/7, spotting risks, debating strategies and executing the strategy they’re trained on without hesitation. AI executes trades with an edge humans can’t match, where profits are won and lost in milliseconds and margins are razor-thin.

Agent selection and management will be core skills of the future

Agent selection will be one of the defining skills of the next decade. Not prompt engineering or chasing the latest model release. Followed by managing agents.

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Think of trading AI agents less like fantasy football and more like owning a real club. When real money is on the line, you don’t draft on hype. You build a squad designed to win across conditions. A striker for momentum, a disciplined defender for mean reversion or a quiet midfielder exploiting arbitrage. You train for tough matches and evaluate performance against expectations.

The same discipline applies to capital. You set the objective, impose constraints and install kill switches, position caps and verify stop-loss controls. You measure more than the last scoreline, tracking consistency, drawdowns and adaptability across regimes. Soon, agents won’t just claim results; they’ll be ranked against transparent and standardized benchmarks. Like any league table, the numbers will speak for themselves.

Take your place in the coach’s box instead of shouting from the stands

Markets will increasingly trade themselves, and crypto is already the proving ground. In a 24/7, onchain environment where speed and discipline compound, agentic systems are beginning to shape liquidity and volatility in real time. The real risk isn’t letting agents compete. It’s waiting until the window closes and the margins compress.

In football, fans watch the game. Coaches shape it. Those who thrive in the AI arena will build and manage squads of trading agents, refining strategy as conditions change and using the technology to keep pace with the industry. In the next league of markets, financial freedom won’t come from watching; it’ll come from building the team from the coach’s box. If job disruption from AI is inevitable, can you afford to stay in the stands?

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Crypto World

Umbra Launches Privacy-Focused Wallet for Confidential Solana Transactions

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

Quick Overview

  • Umbra introduces encrypted wallet for confidential Solana transactions
  • Platform supports private swaps and shielded blockchain operations
  • Privacy solution targets mainstream users seeking encrypted onchain finance
  • Wallet incorporates compliance features alongside privacy protections
  • Solution powered by Arcium’s secure execution infrastructure

Umbra has introduced a privacy-oriented wallet for Solana, broadening availability of encrypted blockchain transactions. The launch brings confidential transfers, private swaps, and built-in compliance mechanisms to users. In doing so, Umbra establishes itself as a functional privacy solution for regular blockchain operations.

Umbra Delivers Confidential Transaction Features on Solana Network

Umbra allows users to transfer digital assets while concealing sender identity, recipient information, and transaction amounts. Additionally, the platform facilitates encrypted token swaps that mask trade volume and execution strategy. Thus, Umbra eliminates public exposure from standard onchain financial operations.

The solution is built upon Arcium’s infrastructure, which enables encrypted execution across blockchain transactions. This architecture permits computation on encrypted information without revealing sensitive transaction details. Consequently, Umbra preserves confidentiality across the complete transaction process.

Previous access was restricted during Arcium’s mainnet alpha phase launched in February. Now, Umbra extends its privacy capabilities to traders, institutional participants, and commercial entities worldwide. This expanded availability addresses rising interest in confidential blockchain technologies.

Secure Execution Technology Sets New Privacy Benchmarks

Umbra utilizes encrypted execution rather than conventional obfuscation techniques or intermediary-dependent privacy approaches. Transaction data remains inaccessible to all participants throughout processing. This framework enhances privacy while preserving trustless onchain verification.

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The wallet incorporates compliance mechanisms including viewing keys, risk assessment tools, and geographic restrictions. These capabilities enable controlled transparency while meeting regulatory obligations. Umbra achieves equilibrium between privacy protection and compliance adherence.

Umbra emphasizes accessibility through an intuitive interface designed for everyday transactions. The system prioritizes straightforward usability without sacrificing encryption strength. Umbra accommodates both sophisticated users and mainstream ecosystem adoption.

Development Tools and Growing Market Traction

Umbra has additionally unveiled a software development kit to facilitate encrypted application development on Solana. This resource empowers developers to create privacy-centric services utilizing zero-knowledge technologies. Consequently, Umbra reinforces its standing within the expanding privacy infrastructure sector.

Multiple integrations are anticipated in upcoming weeks as developers implement the framework. These implementations may broaden encrypted finance applications across decentralized platforms. Umbra advances overall ecosystem maturation on Solana.

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The initiative previously raised over $150 million via MetaDAO, drawing participation from more than 10,000 contributors. This capital injection demonstrates substantial early enthusiasm for privacy-enabled financial instruments. Umbra therefore enters the marketplace with significant financial support and increasing appetite for encrypted blockchain capabilities.

 

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Bitcoin Drops Below $68K but Long-Term Holder Buying Accelerates

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Bitcoin Drops Below $68K but Long-Term Holder Buying Accelerates

Bitcoin (BTC) dropped toward $67,000 during the European trading session on Friday despite an increase in long-term buying. Exchange withdrawals also increased to 16-month highs, suggesting reduced “immediate selling pressure,” a new analysis said.

Key takeaways:

  • Bitcoin withdrawals from exchanges increases, reducing BTC available for sale.

  • Long-term holders accelerate accumulation, adding 155,450 BTC over the past 30 days.

  • Bitcoin analysts view $65,000–$66,000 as a potential support zone for a bounce.

Bitcoin supply tightens as long-term buying accelerates

CryptoQuant’s exchange flow data highlighted “renewed signs of supply tightening,” as large Bitcoin withdrawals continue across major exchanges. 

The chart below shows that investors withdrew nearly $1.6 billion of BTC from Bitfinex on March 16, as shown by the orange bar in the chart below.

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Related: Bitcoin floor ‘near $70K’ as TradFi returns: Will war, inflation break their belief?

Since then, the trend has expanded across other major exchanges, with a $678 million withdrawal from OKX on Sunday, a $728 million withdrawal from Kraken on Monday, and another $400 million in BTC leaving Binance on Wednesday.

“This pattern suggests that the latest wave of withdrawals is no longer isolated to one platform,” CryptoQuant analyst Amr Taha said in his latest QuickTake analysis. 

Bitcoin exchanges netflow, $. Source: CryptoQuant

The figures support the latest data showing Bitcoin whales and sharks have been accumulating over the last two months, a pattern that could trigger an eventual breakout from the range

Other data also reflects an accumulation phase, as long-term holders (LTHs), investors who have held Bitcoin for more than 155 days, ramped up buying.

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The LTH net position change has been positive since March 5, as about 155,450 BTC has been bought over the past 30 days.

In other words, holders are buying more on the dips, including the latest one below $68,000.

Bitcoin: LTH net position change. Source: Glassnode

When Bitcoin leaves exchanges while LTHs expand their positions, it “usually signals lower immediate sell pressure and stronger conviction from investors with a longer time horizon,” Amr Taha said.

If this trend continues, the market could be entering another phase where tightening sell-side liquidity and stronger LTH demand “create a more supportive backdrop for price,” the analyst added.

Bitcoin price to revisit $65,000 before bounce

As Cointelegraph reported, $70,000 remains the key for the Bitcoin bulls and that losing it could trigger the next leg down.

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The BTC/USD pair was trading below $67,000 at the time of writing, below the 50-day simple moving average (SMA) and the 200-week exponential moving average (EMA).

Bears will attempt to push the price toward the $65,000-$63,300 demand zone, with a deeper focus on the range low below $60,000, reached on Feb. 6.

BTC/USD daily chart. Source: Cointelegraph/TradingView

“It’s quite clear that there’s not enough strength for the markets to move higher after that rejection at $75K,” MN Capital founder Michael van de Poppe said in a recent X post.

An accompanying chart suggested that the price was seeking to print a higher low within the $65,000 to $66,000 range, failing which “we’ll start to see an acceleration downwards,” van de Poppe said, adding:

“I would be looking at longs in the lower-$60K range.”

BTC/USD daily chart. Source: Michael van de Poppe

The Glassnode liquidity heatmap highlighted “stronger” whale bid orders near $65,000, suggesting that the BTC price could retest this area before a bounce.

Bitcoin whale orders. Source: CoinGlass

As Cointelegraph reported, a break and close below the ascending trend line at $68,000 could result in Bitcoin price dropping toward $60,000, where it could consolidate next.