Crypto
Grok, ChatGPT, Claude — 11 AI Models Project Bitcoin Hits $84K to $118K 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:
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.
Gwen 3.6 Plus:

ChatGPT 5.3 Instant:

Pi AI:

Le Chat:

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
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:

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.

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.
Crypto
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.
Crypto
Certik Unveils ‘Anti-Virus for AI Agents’ as Skill Marketplaces Face Hidden Threats
Key Takeaways
- Certik launched a security platform to provide an “anti-virus” layer for agent ecosystems.
- Sector audits reveal high risks, but CertiK aims to protect marketplaces with 90.5% scanning precision.
- Finchip.ai is among platforms expanding integrations ahead of future consumer-facing scan updates.
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.
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.”
Crypto
FBI Seizes Over $8 Billion In Cryptocurrency As Part Of The Largest Forfeiture In US Government History
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.

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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