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Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026

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Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits K to 8K by End of 2026

Key Takeaways:

  • Bitcoin AI models gave Dec. 31, 2026, targets from $84,500 to $118,400.
  • Polymarket gives BTC 87% odds of topping $80,000 and 40% odds at $100,000.
  • Bitcoin’s 2026 close hinges on ETF flows, liquidity, and institutional demand.

Nearly a Dozen AI Models See Bitcoin Recovering in 2026, but Not Reclaiming Its $126K Peak

Earlier in April, Bitcoin.com News drew on odds from several prediction marketplace events across Polymarket, Kalshi, and Myriad, where traders at the time leaned moderately bullish. Two weeks on, those probabilities remain largely intact, and as of this week, Polymarket data indicates an 87% likelihood that BTC will exceed $80,000 per coin and a 40% chance it reaches $100,000 by year’s end.

For this exercise, we consulted 11 of today’s leading AI chatbots from some of the largest technology firms, posing a straightforward question: What will bitcoin’s price be at the close of Dec. 31, 2026? Our newsdesk turned to chatbots, such as ChatGPT, Claude, Grok, Qwen, Copilot, Venice, Pi, Gemini, and several others, to assess how these systems would respond.

The prompt presented to the models was:

This intellectual exercise crafts a forward-looking framework for bitcoin’s valuation at the close of Dec. 31, 2026. The asset notched an unprecedented high of $126,272 in Oct. 2025. Entering the first week of May, its price sits just above $76,000 after dipping to a low of $59,930 on Feb. 5, 2026. As a seasoned crypto analyst in the bitcoin arena, you are tasked with outlining the currency’s potential year-end trajectory and offering a crisp, coherent rationale for your estimate in two to three sentences (max). Determine the definitive closing price of BTC on Dec. 31, 2026, and state your projected U.S. dollar valuation for bitcoin as that day comes to an end. What is your estimation?

Claude Sonnet 4.6:

Claude Sonnet screenshot.

Grok:

My estimation for Bitcoin’s closing price on December 31, 2026, is $108,500.

Bitcoin’s post-2024 halving cycle peaked at $126k in October 2025 before the standard 40-50% drawdown into early 2026; we’re now in the typical mid-cycle consolidation phase where ETF inflows (already turning strongly positive again in April 2026) and institutional accumulation replace the old miner-driven volatility. With the four-year cycle maturing and macro liquidity expected to improve, 2026 becomes a grind-up year rather than a euphoric new leg—supported by models clustering around $98k–$110k base case. This lands us at a credible year-end close above six figures without assuming another blow-off top.

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Gwen 3.6 Plus:

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026
Gwen screenshot.

ChatGPT 5.3 Instant:

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026
ChatGPT screenshot.

Pi AI:

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026
Pi AI screenshot.

Le Chat:

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026
Le Chat screenshot.

Deepseek (Deepthink mode):

Based on the October 2025 peak of $126,272 and the subsequent correction to a low of $59,930 in February 2026, Bitcoin is likely in a post-halving consolidation phase typical of its four-year cycle. The rebound to $76,000 by early May suggests a bottoming process, and with institutional accumulation absorbing sell pressure, the price will gradually recover to close the year at $84,500 on Dec. 31, 2026.

Gemini 3 Fast:

Bitcoin Valuation Framework: Dec. 31, 2026

Based on current market structures and historical cycle data, the projected closing price for bitcoin on December 31, 2026, is $114,500.

Rationale

This valuation anticipates a “second-leg” recovery following the mid-2026 correction, supported by a projected shift toward U.S. monetary easing and the stabilization of institutional spot ETF outflows. While the asset remains below its October 2025 high of $126,272, the year-end trajectory benefits from bitcoin’s maturation into a “macro beta” asset that tracks increasing global liquidity and the exhaustion of the post-halving sell pressure.

Projected Valuation (Dec. 31, 2026): $114,500

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Venice AI:

Based on bitcoin’s established four-year halving cycle and the current trajectory following its October 2025 peak, I project bitcoin will reach $94,500 by December 31, 2026. This valuation accounts for the typical 6-9 month consolidation phase post-peak and the accelerating institutional adoption expected throughout the year as regulatory clarity continues to improve globally.

Claude Opus 4.6:

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026
Claude Opus screenshot.

Copilot:

Bitcoin is likely to close around $92,000 on December 31, 2026.
This estimate reflects a moderate recovery from early‑2026 lows but stops short of retesting the 2025 all‑time high.

Bitcoin entered 2026 with sharp volatility, falling as low as $59,930 on Feb. 5, 2026 before stabilizing in the mid‑$70Ks by late April, indicating a market still digesting the post‑ATH drawdown and ETF outflows. Institutional flows, monetary easing, and post‑halving supply dynamics support a gradual rebound, but sentiment remains cautious and options markets continue to price wide‑range outcomes, making a mid‑$90K finish the most balanced trajectory.

Weighing the Variables

Taken together, the slew of AI models produced a spread ranging from a low of $84,500 to a high of $118,400, with most clustering in the $94,000 to $118,000 band by year’s end. The outliers on both ends reflect genuine uncertainty in how each system weights cycle exhaustion against the pace of institutional demand. No model predicted a new all-time high, and none called for a retest of the February lows. That relative convergence around a recovery, rather than a breakout or a collapse, is itself telling.

Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K by End of 2026

What the exercise reveals is less about any single price target and more about how AI systems process the same market input and prompt. Each model pulled from similar data, the halving cycle, ETF flows, the $59,930 floor, the $126,272 peak, and arrived at different conclusions based on how it weighted those variables. Prediction markets, meanwhile, still assign meaningful odds to a $100,000 close.

Where bitcoin actually lands on December 31 will come down to the same forces these models identified: liquidity conditions, institutional behavior, and whether the second half of 2026 delivers the macro environment that the more bullish estimates are counting on.

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Stablecoin Settlement Is Here, but Seamless Off-Chain Money Movement Is Not | PYMNTS.com

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Stablecoin Settlement Is Here, but Seamless Off-Chain Money Movement Is Not | PYMNTS.com

The stablecoin industry has spent years trying to prove one thing above all else: that blockchain-based money can move faster, cheaper and more efficiently than the financial infrastructure it hopes to replace.

This week, the industry produced another wave of evidence that the technology itself is working as advertised.

Project Agora, the Bank for International Settlements (BIS) initiative involving seven central banks and more than 40 private-sector financial institutions, successfully tested blockchain-based cross-border settlement flows. SoFi became the first national bank to issue a stablecoin on a public blockchain. Circle expanded its payout infrastructure through a partnership with Nium, while Mastercard secured a New York cryptocurrency license that broadens its stablecoin-related capabilities, and Cash App rolled out support for stablecoin payments.

But the digital dollar industry is now approaching a more difficult phase of development where success will be measured not by how quickly stablecoins move between wallets but by whether businesses and consumers can use those assets in the real economy without introducing new friction, cost or complexity.

The first challenge was proving that value can move on chain. The next challenge is figuring out how that value becomes economically useful once it moves off chain.

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See also: Stablecoins Target B2B Settlement as Marketplaces Scale 

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Interoperability Is More Important Than Issuance

The stablecoin market spent years focused on issuance scale. Tether and Circle competed for circulation dominance. New entrants launched chain-specific coins designed to drive ecosystem growth. But fragmentation is now becoming a structural challenge.

Stablecoins exist across multiple public blockchains, private ledgers, Layer 2 networks and emerging tokenized deposit systems. Financial institutions are simultaneously experimenting with permissioned blockchain environments while FinTechs continue building on open public chains.

But a payment system only becomes economically powerful when participants can transact across networks without introducing new operational complexity. If businesses must manage liquidity across multiple chains, maintain separate compliance processes or navigate inconsistent standards, the efficiency gains of blockchain settlement begin to erode. The future payments ecosystem is unlikely to converge around a single blockchain or a single stablecoin issuer. More likely, it will consist of multiple interoperable systems that require governance standards, messaging frameworks, compliance coordination and liquidity routing mechanisms.

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“I think we go to a world built on digital network transfers of value rather than the message-based system we have today. The future of digital networks is going to be a multi-network world,” J. Christopher Giancarlo, former Commodity Futures Trading Commission (CFTC) chair and co-founder of the Digital Dollar Project, told PYMNTS on the latest episode of “From the Block.”

Project Agora’s significance lies partly in its recognition of this issue. The initiative explores how central bank money and commercial bank tokenization models can interact within shared programmable infrastructures rather than isolated silos.

See more: Fed Report Shows Crypto Still Has an Everyday Use Problem

Off-Ramps Are Becoming Stablecoins’ Biggest Adoption Bottleneck

The stablecoin ecosystem increasingly resembles a high-speed highway system that feeds into underdeveloped local roads. On-chain transfers may settle instantly, but businesses and consumers still operate inside local banking systems, regulatory frameworks, tax regimes, treasury processes and compliance structures that were not designed for tokenized money.

The result is that the “last mile” of stablecoin adoption often introduces many of the same frictions blockchain was supposed to eliminate. Findings in the March PYMNTS Intelligence report “Stablecoins Gain Ground: Why CFOs See More Promise There Than in Crypto” revealed that while 42% of middle-market companies have at least discussed stablecoins, only 13% have reported actual stablecoin use.

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This is why partnerships like Circle’s integration with Nium matter as much as the blockchain itself. The competitive battleground is shifting away from token issuance and toward payout orchestration, banking connectivity, liquidity management and compliance automation.

SoFi’s entrance into public-blockchain stablecoins also illustrates that convergence. Traditional financial institutions are no longer merely partnering with crypto-native firms; they are directly participating in issuance and infrastructure development. Mastercard’s expanding regulatory footprint signals a similar shift.

The stablecoin networks that achieve mainstream scale are likely to be the ones that balance openness with institutional trust. Too much decentralization can create compliance uncertainty. Too much centralization can undermine the efficiency and programmability advantages that made blockchain attractive in the first place. 

Because the value proposition is not “crypto.” It is operational efficiency.

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Certik Unveils ‘Anti-Virus for AI Agents’ as Skill Marketplaces Face Hidden Threats

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Certik Unveils ‘Anti-Virus for AI Agents’ as Skill Marketplaces Face Hidden Threats

Key Takeaways

The Security Challenge

Blockchain and AI security firm Certik, on May 27, unveiled a new security platform designed to evaluate risks in third-party artificial intelligence (AI) skills. Dubbed the “anti-virus for AI agents,” the release comes amid growing industry concern over the security of AI skill marketplaces.

Security researchers have warned that many of these skills are unvetted, can execute system-level actions and may contain hidden malicious behavior, creating a new software supply chain risk for the AI era. Security audits across the sector have identified risks ranging from credential harvesting and data exfiltration to fund-transfer manipulation and prompt-based override attacks.

Despite these concerns, AI skill marketplaces have expanded rapidly as agent ecosystems mature. However, unlike traditional app stores, most skills are sourced from public repositories with little or no review. Analysts say this creates opportunities for attackers to embed harmful instructions, trigger unauthorized data access or manipulate autonomous execution flows.

In a recent blog post, Certik said its skill scanner platform is designed specifically to evaluate risks that emerge during execution, including scenarios involving financial transactions or fund calls. The scanner produces a numerical score from 0 to 100, along with “pass,” “warn” or “fail” verdicts and categorized findings. According to the company, the system achieves up to 90.5% precision in identifying security risks.

“As AI agents become more deeply integrated into financial systems, enterprise workflows and everyday digital interactions, the security model around third-party skills becomes critically important,” said Ronghui Gu, Certik’s CEO and co-founder. “CertiK Skill Scanner was built to establish a standardized trust layer before execution, helping users and platforms identify hidden risks before sensitive data, assets or systems are exposed.”

Certik said AI skill marketplaces can integrate the scanner directly into publishing pipelines, automatically reviewing skills before they go live and displaying security verdicts to users. Enterprises can deploy the tool as part of internal compliance and risk-management workflows, while independent developers can use it to self-audit skills before publishing.

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The company said future updates will allow everyday users to scan skills themselves before installation. The scanner has already been deployed in select Web3 AI agent infrastructure environments. Certik is also expanding integrations with additional platforms, including Finchip.ai.

“Trust is the prerequisite for any skill economy to function at scale,” said Gary Yang, incubation investor at Finchip.ai. “CertiK’s work on skill security verification is exactly what this ecosystem needs. It’s what makes Finchip’s mission of programmable skill ownership and distribution worth building.”

The launch follows Certik’s expansion into AI-focused security infrastructure. Earlier this year, the company introduced its AI Auditor initiative to address risks tied to autonomous systems and AI-driven execution environments.

“AI applications are moving toward increasingly autonomous execution, which creates a new category of security and trust challenges,” Gu said. “We believe security infrastructure for the AI era must function proactively, not reactively.”

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FBI Seizes Over $8 Billion In Cryptocurrency As Part Of The Largest Forfeiture In US Government History

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FBI Seizes Over  Billion In Cryptocurrency As Part Of The Largest Forfeiture In US Government History
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The FBI seized over $8 billion in cryptocurrency, freed nearly 2,000 trafficked workers, and arrested nearly 300 people in a recent international operation.

As part of the operation, authorities shut down several “scam compounds” and crime organizations, including groups known as the Prince Group in Cambodia, Operation Sand Dollar in Dubai, and the Democratic Karen Benevolent Army in Myanmar.

“Scam compounds are modern-day criminal enterprises built to steal from Americans, launder money, and exploit trafficked workers,” FBI director Kash Patel wrote on X announcing the results of the operation.

Fox News reports that the U.S. The Democratic Karen Benevolent Army, an armed militia named after a region in Myanmar that is allegedly connected to the Chinese mob, faces sanctions imposed by the U.S. Treasury. The government has classified it as a transnational criminal organization.

Images from an operation in Thailand reveal that the FBI confiscated office supplies and thousands of smartphones.

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FBI

The FBI in Dubai will extradite six of the 275 individuals they and local police detained there to the United States to face federal charges, according to the FBI. The authorities raided nine “scam compounds” in Dubai, each allegedly generating $6 million in fraud proceeds annually.

Cryptocurrency scams in the US reached a record high in 2025

In April, an FBI report revealed that cryptocurrency scams in the U.S. reached a record high in 2025, with reported losses of almost $11.4 billion. According to the FBI, cyber-enabled crimes defrauded Americans of almost $21 billion in 2025, with the costliest complaints involving cryptocurrency and artificial intelligence (AI).

“The FBI’s 2025 Internet Crime Complaint Report highlights the ever-evolving tactics of internet scammers,” the FBI’s Baltimore office wrote on X. “From fake social media profiles to voice cloning and AI-generated content, cyber criminals are evolving.”

The Internet Crime Complaint Center (IC3) received over one million complaints in 2025, up from 859,532 in 2024. The most common complaints were about investment schemes, extortion, and phishing/spoofing.

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