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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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Ark Invest’s Bitcoin ETF hit by $30m outflow as spot funds see $171m drain

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Ark Invest’s Bitcoin ETF hit by $30m outflow as spot funds see $171m drain

Ark Invest’s Bitcoin ETF saw one of the sharpest single‑day outflows of the month this week, as investors yanked tens of millions of dollars from spot products just as Bitcoin slid back toward the mid‑$60,000s.

Summary

  • U.S. spot Bitcoin ETFs recorded about $171 million in net outflows on March 27, with Ark Invest’s ARK 21Shares fund among the hardest hit.
  • Ark’s CEO Cathie Wood, long one of Bitcoin’s loudest institutional bulls, now faces a tape where her flagship crypto vehicle is bleeding capital even as she reiterates long‑term upside.
  • The reversal in flows undercuts part of the “institutional floor” narrative that has supported Bitcoin since U.S. spot ETFs launched in early 2024.

The latest data show U.S. spot Bitcoin (BTC) ETFs posted a combined $171.12 million in net outflows on March 27, the largest one‑day withdrawal in more than three weeks and a stark contrast to the steady inflows seen earlier this month. According to ETF flow trackers, BlackRock’s IBIT led redemptions with roughly $41.9 million out, followed by Fidelity’s FBTC at about $32 million, while Ark Invest’s ARK 21Shares ETF saw approximately $30.5 million leave in a single session. Those exits hit as Bitcoin slipped back toward $70,000, with selling pressure from ETF desks reinforcing a broader risk‑off move across digital assets.

For Cathie Wood, the numbers add short‑term pain to a long‑running conviction trade. The Ark founder has for years argued that Bitcoin could eventually reach $500,000 if corporate treasuries and institutional allocators push even 5% of portfolios into the asset, telling CNBC at the SALT Conference that “the price will be ten‑fold what it is today” if that thesis plays out. Ark has backed that view with positioning, building exposure across vehicles such as its Next Generation Internet ETF and, more recently, via its ARK 21Shares spot product, which quickly became one of the most closely watched newcomers in the U.S. ETF lineup.

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Yet the latest redemption wave shows how tactical those same institutions can be when macro conditions sour. Market data providers say investors are rotating out of risk assets on the back of sticky inflation, uncertainty over the Federal Reserve’s rate‑cut path, and escalating geopolitical tension around Iran, all of which have pushed volatility higher and forced some fast‑money players to de‑risk. “This pattern of inflows and outflows is becoming a key indicator of institutional positioning,” one ETF flow note observed, pointing out that even newer funds and smaller trusts such as VanEck’s HODL and Grayscale’s mini‑BTC product joined Ark’s ARKB in posting redemptions.

The move matters because Ark has been central to the story that spot ETFs would anchor Bitcoin with a deeper, more stable institutional base. Earlier in March, U.S. spot funds briefly flipped back to net inflows, including a day when the complex added about $167 million in fresh cash, suggesting some large accounts were willing to buy dips. That pattern appears to have reversed, at least temporarily, with several consecutive outflow days culminating in Thursday’s $171 million drawdown, undercutting the idea that ETF demand alone can offset macro shocks or positioning washes in derivatives.

Still, most analysts tracking Ark and its peers see the current outflows as tactical rather than a structural rejection of Bitcoin. Flows tend to whipsaw around options expiries, CPI releases, and geopolitical headlines, and Ark’s own research — including its latest Big Ideas 2026 report — continues to frame Bitcoin as a multi‑cycle, high‑conviction allocation rather than a quarter‑to‑quarter trade. For investors watching Wood’s ETF specifically, the question now is whether renewed inflows reappear on the next bout of weakness, or whether this week’s $30‑plus million exit marks the start of a longer period in which Ark’s name recognition is not enough to keep nervous capital from heading to the sidelines.

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Bittensor (TAO) Escapes 4-Month Long Barrier, Yet Price May Not Reach $400

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Bittensor (TAO) is trading at $322, down 6.97% on the session after briefly tagging $380 on March 26. 

The 2-day chart shows TAO has cleared the 0.618 Fibonacci resistance zone at $306 that capped every rally for four months, but the move above it has immediately stalled.

TAO Holders’ Sentiment Drove the Breakout

The Santiment weighted sentiment chart covers March 3 through March 26, 2026. TAO sentiment spiked to above 5.0 on March 25 — the highest reading on the chart — as price surged toward $380. By March 26, sentiment had collapsed to 0.684 as price reversed sharply.

This pattern repeated twice earlier in the month. On March 13, sentiment spiked sharply before price reversed from $305 back toward $260. On March 19, another sentiment spike preceded a drop from $290 back toward $250. Each time, elevated sentiment coincided with a local TAO price top rather than sustained upside.

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TAO Weighted Sentiment
TAO Weighted Sentiment. Source: Santiment

The current reading of 0.684 is not yet negative, but the trajectory from above 5.0 to 0.684 in a single session mirrors the prior reversal patterns precisely. Sentiment drove capital into TAO at elevated prices and is now retreating, removing the buying pressure that generated the move.

Breaking This Ceiling Will Prove Beneficial For TAO

The TAO liquidation heatmap covers March 26 and 27. The brightest concentration of liquidation leverage — shown in yellow on the heatmap — sits at the $364 level, with 2.98 million in liquidation leverage at that exact price. Above $364, the cumulative short liquidation leverage reaches $17.81 million.

That $17.81 million short squeeze would be a powerful catalyst if triggered. A move through $364 would force those short positions closed, mechanically driving the price toward $407 and potentially $469. However, the 2.98 million in leverage concentrated at $364 itself acts as a magnet that also absorbs buying pressure, making it a ceiling before it becomes a springboard.

TAO Liquidation Heatmap
TAO Liquidation Heatmap. Source: Coinglass

With sentiment already collapsed and price pulling back from $380 without clearing $364 on a close, the short squeeze scenario requires a fresh wave of buying that is not currently visible in either the sentiment data or the price structure.

TAO Price Prediction: Drop Back Into the $306 Zone Before Any Continuation

TAO spent four months consolidating under the red resistance zone under the 0.618 level at $306. The annotated breakout measured move shows a 20.33% gain over the past week as TAO escaped it.

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MFI adds further weight to the bearish near-term outlook. MFI reached the overbought threshold last week, and every prior instance where MFI reached this zone coincided with a local price top. 

TAO CMF
TAO CMF. Source: TradingView

In September 2024, MFI touched the overbought threshold as TAO traded near $700. In May 2025, MFI again reached the same level before the price rolled over from $450 toward $300. The current reading at 77.79 places TAO in identical territory on both occasions that preceded significant drawdowns. 

TAO at $322 is above the prior resistance zone. But, a daily close below $306 would confirm the breakout has failed and put the 0.5 level at $275 and then the 0.382 level at $243 in focus as the next support levels.

TAO Price Analysis.
TAO Price Analysis. Source: TradingView

The bullish invalidation requires a 2-day close above $364. That would trigger the $17.81 million short squeeze and mechanically push the price toward the 1.0 level at $407 and then the 1.236 level at $469. Without that close above $364, the four-month resistance zone that TAO just escaped threatens to reclaim the token.

The post Bittensor (TAO) Escapes 4-Month Long Barrier, Yet Price May Not Reach $400 appeared first on BeInCrypto.

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Morgan Stanley enters bitcoin ETF race with market-leading low fee

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Morgan Stanley enters bitcoin ETF race with market-leading low fee

Morgan Stanley plans to price its proposed spot bitcoin exchange-traded fund (ETF) at 14 basis points, a level just below current low-cost options for similar products, according to an amended filing with the U.S. Securities and Exchange Commission (SEC). The move could set off a new round of fee competition among existing funds.

The latest S-1 filing, filed Friday, shows the bank undercutting rivals that charge closer to 15 to 25 basis points. The lowest fee on the market today is Grayscale’s Bitcoin Mini Trust ETF , which carries a 0.15% expense ratio. Larger funds, including BlackRock’s iShares Bitcoin Trust (IBIT), priced their products at 25 basis points.

On paper, the gap looks narrow. In practice, it may be enough to shift money.

Spot bitcoin ETFs offer near-identical exposure. Each fund holds bitcoin and aims to track its price. That leaves cost as one of the few variables investors and advisors can act on. A financial advisor can move a client from one ETF to another with a single trade, keeping the same exposure while lowering annual fees.

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That dynamic has shaped the ETF market before, and lower-cost products tend to attract inflows, while higher-fee funds can see assets drift out over time. Grayscale’s flagship product, its Bitcoin Trust (GBTC), holds about $10 billion in assets, down from $29 billion at launch in January 2024.

Morgan Stanley’s scale adds another layer. Its wealth management arm oversees trillions in client assets and has one of the largest adviser networks in the industry. Even small allocation changes across that base could move billions of dollars between funds.

The pricing decision also points to strategy. By entering with a lower fee, Morgan Stanley may be aiming to quickly gain share in a market where products are hard to differentiate. Cost and access, not structure, often decide which funds grow.

The filing follows confirmation from the New York Stock Exchange that it has issued a listing notice for MSBT, signaling the product could begin trading quickly if approved.

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If regulators sign off, the fund would be the first spot bitcoin ETF issued directly by a major U.S. bank, setting up a new phase of competition where fees and distribution drive the outcome.

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Stablecoin Jitters, AI Micropayments Reshape Crypto

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Stablecoin Jitters, AI Micropayments Reshape Crypto

Stablecoins are once again at the center of the crypto business narrative — but for very different reasons.

Circle’s sharp sell-off this week highlights how sensitive crypto equities remain to regulatory headlines, even when the underlying business fundamentals appear unchanged. At the same time, developments in Canada show institutions are moving in the opposite direction, quietly laying the groundwork for stablecoin integration into traditional finance.

Elsewhere, prediction markets are facing growing pressure to clean up their act as regulators zero in on manipulation risks, while a new thesis from Forrester suggests the long-promised micropayments economy may depend less on infrastructure — and more on AI agents.

The latest edition of Crypto Biz points to a market where regulation, automation and institutional adoption are reshaping how value moves across crypto rails.

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Circle slides on CLARITY Act fears, Bernstein says sell-off overdone

Shares of Circle plunged 20% on Tuesday after reports that a draft of the proposed CLARITY Act could restrict stablecoin rewards, but analysts at Bernstein say the market reaction may be mispriced.

In a Wednesday note, Bernstein analysts said investors are conflating “who earns yield” with “who distributes yield.” The draft legislation targets platforms that pass yield to users, they said, while Circle’s core revenue comes from reserve income on USDC (USDC), not reward distribution.

The legislative proposal would prohibit yield on passive stablecoin holdings or products deemed equivalent to interest, but leaves room for rewards tied to user activity, such as trading or payments. Bernstein said these carve-outs could still allow incentive structures without disrupting issuer economics.

Circle generates revenue primarily from interest on reserves backing USDC, which are largely invested in short-term US Treasurys. Bernstein estimates this income reached about $2.6 billion in 2025, underscoring what it views as limited direct impact from the draft bill.

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USDC’s onchain transaction volume has surged over the past two years. Source: Bernstein

Deloitte and Stablecorp prepare Canadian banks for stablecoins

Deloitte Canada is partnering with Stablecorp to bring stablecoin infrastructure into the country’s financial system, signaling growing institutional readiness ahead of new regulations. The initiative centers on integrating QCAD, a Canadian dollar–pegged stablecoin, into payment and settlement workflows.

The goal is to help financial institutions prepare for stablecoin adoption as Canada moves toward a formal regulatory framework for fiat-backed digital assets. Potential use cases include round-the-clock payments, faster settlement and improved transparency using blockchain-based systems.

QCAD is designed as a fully backed digital version of the Canadian dollar, aligning with expected regulatory requirements around reserves, compliance and risk management. This positions it as a candidate for institutional use once rules are finalized.

Source: Cointelegraph

Polymarket tightens rules as insider trading fears grow

Prediction platform Polymarket is overhauling its rulebook amid intensifying scrutiny of allegations of insider trading and market manipulation. The updates apply to both its decentralized platform and its US-regulated exchange, signaling a push toward stronger compliance standards.

The new framework introduces stricter market design rules, clearer criteria for resolving outcomes and expanded surveillance systems to detect suspicious activity. Polymarket is also limiting certain markets considered highly manipulable or ethically sensitive.

The changes come amid mounting concerns that prediction markets may be vulnerable to traders with privileged information — especially in geopolitical or political event markets. Lawmakers and regulators have increasingly questioned whether such platforms blur the line between financial markets and gambling.

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Source: Polymarket

Forrester says AI agents could finally make micropayments work

AI agents may finally make micropayments viable, according to a new analysis from Forrester, which points to Stripe’s Machine Payments Protocol (MPP) as an early example of the trend.

Forrester analyst Meng Liu said micropayments have historically struggled due to user friction, as consumers are reluctant to repeatedly approve small transactions worth just a few cents or dollars. AI agents change that dynamic by executing payments automatically as part of completing tasks, removing the need for user interaction at checkout.

Stripe’s MPP is designed as a coordination layer that works across existing payment systems rather than a standalone network. Forrester’s Liu views this as a sign that infrastructure is emerging to support machine-to-machine transactions without requiring entirely new rails.

Liu said agent-driven payments could enable new business models, including pay-per-use services and automated digital commerce, while increasing demand for low-cost, high-frequency payment solutions such as stablecoins.

Liu said previous attempts to make micropayments viable have all failed. Source: Forrester

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