AI models are split on the recent bullish prediction for Bitcoin | Source: CCN
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Key Takeaways
A peer-reviewed study suggests Bitcoin could reach $1 million by 2027.
AI models have mixed opinions.
Institutional adoption and liquidity dynamics remain central to bullish narratives.
A peer-reviewed study projecting Bitcoin could reach $1 million within the next few years has reignited debate across crypto markets, with artificial intelligence models offering sharply different views on the likelihood of such a surge.
The research, published in the Journal of Risk and Financial Management, argued that Bitcoin’s fixed supply combined with rising institutional demand could trigger a supply-driven price expansion, potentially pushing the crypto into seven-figure territory as early as 2027.
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Under the model, sustained withdrawals of more than 1,000 Bitcoin per day begin to tighten liquidity, while flows between 2,000 and 3,000 coins could trigger a severe supply crunch.
This shift, the study suggests, marks a transition from adoption-driven growth to scarcity-driven price expansion.
In its most aggressive scenario, Bitcoin reaches $1 million by early 2027, $2 million later that year and as much as $5 million by 2031.
Monte Carlo Model Signals Extreme Bitcoin Price Upside
The study also employed Monte Carlo simulations to model a range of possible outcomes under varying demand and liquidity conditions.
Under strong adoption scenarios, the results showed a 75% probability that Bitcoin could exceed $4.81 million by 2036.
As explained by CCN’s Education team, by incorporating randomness and multiple variables the approach moved beyond a single price forecast.
However, it cautions that these outcomes remain highly sensitive to core assumptions, particularly around sustained demand growth.
ChatGPT: “Ambitious, But Not Impossible”
When asked to evaluate the projections, ChatGPT took a cautious but open stance, acknowledging the internal logic of the model while questioning its assumptions.
“The framework highlights a real dynamic — limited supply interacting with rising demand,” ChatGPT said.
“But projecting precise price levels depends heavily on conditions that are difficult to sustain simultaneously.”
It pointed to macroeconomic uncertainty as a key constraint.
“For Bitcoin to reach $1 million by 2027, you would likely need sustained institutional inflows, favourable liquidity conditions and continued adoption at scale,” it added.
“That combination is possible, but the timeline appears ambitious.”
ChatGPT concluded that while long-term upside remains plausible, “short-term forecasts at that magnitude should be treated as speculative rather than predictive.”
Claude: “Highly Sensitive to Assumptions”
Anthropic’s Claude focused on the model’s structural sensitivity, warning that small changes in inputs could significantly alter outcomes.
“Supply-constrained systems can produce nonlinear price behaviour, which the study captures,” Claude said.
“However, models like this are extremely sensitive to assumptions around demand growth and liquidity removal.”
Claude noted that institutional adoption remains uncertain in both scale and timing.
“Even modest deviations in adoption rates or capital inflows could materially change the trajectory,” it said.
“Projecting multi-million dollar valuations within fixed timeframes introduces a high degree of uncertainty.”
However, Claude acknowledged that Bitcoin’s historical growth leaves room for outsized scenarios.
“The asset has demonstrated that extreme outcomes are possible,” it added. “But translating that into precise forecasts is inherently unreliable.”
Grok: “Great Headline, Weak Forecast”
Elon Musk’s AI assistant Grok delivered a more blunt assessment, dismissing the projections as overly optimistic.
“$1 million Bitcoin by 2027 is a great headline, not a grounded forecast,” it said.
“It assumes everything lines up perfectly — demand surges, supply vanishes, and macro conditions cooperate.”
Grok also pushed back on the idea that institutional demand alone could drive such rapid price expansion.
“ETFs and corporate buyers matter, but they don’t magically create infinite demand,” it said.
“Markets need continuous inflows, not just narratives.”
The chatbot added that crypto markets are prone to exaggerated expectations.
“Bitcoin can rally hard, no question,” Grok said. “But jumping to seven figures in a couple of years is more wishful thinking than probability.”
Bullish Bitcoin Price Narratives Growing
The study comes as long-term bullish calls for Bitcoin continue to gain traction, even as it struggles through a volatile start to the year.
Standard Chartered is among the most prominent voices maintaining an aggressive outlook.
Geoffrey Kendrick, the bank’s head of digital assets research, recently argued that Bitcoin could rise toward $500,000 over time as structural demand strengthens.
The bank’s thesis also rests largely on increasing institutional participation, particularly through spot Bitcoin exchange-traded funds, which have opened the asset class to a broader pool of capital.
Combined with Bitcoin’s fixed supply, this could create conditions for sustained price appreciation.
Some analysts argue comparisons between Bitcoin and gold — often used to justify higher valuations — are overstated.
Unlike gold, Bitcoin has yet to establish a consistent role as a defensive asset, with its price continuing to move in line with risk sentiment, interest rates and regulatory developments.
At the same time, institutional flows into Bitcoin remain uneven.
Recent data from Arkham Intelligence showed large asset managers such as BlackRock and Fidelity actively rotating capital, while U.S. spot Bitcoin ETFs recorded tens of millions of dollars in net inflows over the same period.
Bearish Outlooks Remain
Despite the resurgence of bullish long-term projections, some analysts warn that downside risks for Bitcoin remain firmly in play.
Veteran on-chain analyst Willy Woo said traditional valuation models suggest Bitcoin could still fall into the mid-$40,000 range before finding a floor.
However, he cautioned that such “old school” models may no longer be fully reliable.
Old school onchain models suggest a BTC bottom between 46k-54k. Also hints at how much time we have to wait.
Orange line correlates to the capital stored in BTC and it has been leaving since November.
“These models are based on a limited number of historical cycles,” Woo said, noting that Bitcoin has only experienced a handful of bear markets..
He added that weakening capital inflows into Bitcoin in recent months could further pressure prices, while a breakdown in the wider macro environment could push the asset into “uncharted territory.”
Other analysts have taken an even more cautious stance.
Bloomberg Intelligence’s Mike McGlone recently reitterated his view that Bitcoin could eventually retrace toward $10,000.
He said Bitcoin’s historical price behavior suggests a tendency to revert toward key long-term trading ranges, with $10,000 representing a major equilibrium level since the launch of futures markets in 2017.
CCN’s Short-Term Bitcoin Price Outlook
Separately, Abiodun Oladokun, an analyst at CCN, said recent technical indicators point to improving short-term momentum for Bitcoin, supporting a more bullish near-term outlook.
Bitcoin has moved back above its 20-day exponential moving average (EMA) after trading below the indicator for much of the past week, a signal often associated with a shift toward positive price momentum.
April 6th BTC/USD Daily Chart | Credit: TradingView
“The 20-day EMA now sits below price action at around $68,479, providing dynamic support against downside pressure,” Oladokun wrote.
If momentum is sustained, Bitcoin could reclaim the $70,000 level and potentially extend gains toward $74,487, according to the analysis.
However, a renewed wave of profit-taking could reverse the trend, with prices at risk of falling back below the 20-day EMA and toward $65,886.
Kurt Robson is a London-based reporter at CCN, specialising in the fast-moving worlds of crypto and emerging technology. He began his career covering local news in Cornwall after graduating from Falmouth University with First Class Honours in Journalism. There, he cut his teeth on everything from council meetings to missing swans.
He quickly rose through the ranks to become a frontline journalist at several of the UK’s leading national newspapers. Over the years, he has interviewed musicians and celebrities, reported from courtrooms and crime scenes, and secured multiple front-page exclusives.
Following the upheaval of the COVID-19 pandemic, Kurt shifted his focus to technology journalism—just ahead of the AI boom. With a natural curiosity and a trained eye for emerging trends, he has found a new rhythm in reporting on innovation.
At CCN, Kurt's work focuses on the cutting edge of crypto, blockchain, AI, and the evolving digital world. Drawing on his background in people-first reporting and his deep interest in disruptive tech, Kurt delivers stories that are insightful, entertaining, and human-centric.
