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FedNow’s Future and What the Triple Clock Theory Says About It
July 17, 2023
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Four days from today, the Federal Reserve’s instant account-to-account payments rail will go live. FedNow’s launch on July 20 will bring the number of real-time rails in the U.S. to two. The first real-time rail to go live was RTP®, operated by The Clearing House, in 2017.

Judging by the barrage of press releases and PR pitches received by PYMNTS over the last several weeks, the launch of FedNow is to payments what the Red Sox winning the World Series in 2004 after an 86 year drought was to baseball: an historic milestone that was a long time in coming.

So, it seems, the race for instant payments in the U.S. is on.

In many ways, July 20 begins the countdown to ubiquitous instant account-to-account payments in the U.S. TCH with RTP® has been live for six years and counts 274 financial institutions and 65% of U.S. deposits connected to its rail as important milestones of its own. But as even TCH and its member banks will admit, traction around use cases has been scattered, the number of transactions low. TCH with RTP® hasn’t yet achieved the critical mass needed to ignite its payments platform. The introduction of FedNow creates competition for RTP® volume and potentially the real-time payments infrastructure for new use cases like merchant payments.

In addition to the U.S. Treasury, FedNow says that 56 “Early Adopters” are certified and ready to move money over its rails at launch. The profile of those early adopters leans heavily to small FIs — 41 of the 56 are FIs, many with profiles like 1st National Bank of Yuma, Buffalo Federal Bank and Consumers Cooperative Credit Union with assets of $550M, $174M and $2.8B respectively — even though four TCH founding members, J.P. Morgan, Wells Fargo, US Bank and BNY Mellon, are also ready to roll on Thursday. There are fifteen technology providers like AdyenFiservFISJack HenryFinastra and ACI that banks and FinTechs can use to connect to the FedNow rails.

So, it seems, the race for instant payments in the U.S. is on.

Like any good competitive rivalry stimulated by a new entrant, the watercooler talk now is about how long it will take for either or both networks to reach the point where they support a large volume of transactions and use cases to drive those transactions and ignite real-time account-to-account payments in the U.S.

Knowing that answer — or even how to guess — will depend on the clock you’re using to time the race.

The Triple Clock Theory

Humans have been measuring time for more than five thousand years. It was 1500 BC when the Egyptians invented sundials and water clocks to, among other things, track the blocks of time between sunrise and sunset to better schedule the arrivals and departures of ships bringing goods into the country.

It was the Sumerians who created the base 60 numerical system in the 3rd millennium BC which would become the basis for timekeeping today: Hours were comprised of 60-minute intervals and minutes of 60 second intervals.  Mechanical clocks that followed in the mid-to-late 1200s were perfected over the subsequent three hundred years, making it possible for time to be measured systemically and consistently with precision everywhere in the world.

We measure time because there is a finite amount of it — in a day, in a week and over a lifetime. People use time as an organizing construct to manage their daily lives. Athletes count time because they want to beat their personal records. The amount of time that it takes for big things to happen makes news: whether it is how long it takes to capture escaped convicts or how long it might take for inflation to hit the Fed’s 2% target. People want to make the most of their time because it is the most precious asset they have. Wasting it is low on everyone’s list.

Counting time in the business world is how economists and business leaders measure productivity: the minutes, hours and days needed to complete a task, and the number of people required to deliver the expected outcome. Like people, businesses want to optimize how their workforce’s time is spent and are loathe to waste it, even though by some accounts we all waste 24 billion hours a year in unproductive meetings. At least we did until people could multitask under the table with mobile phones or when their cameras are off during Zoom calls.

But it turns out that businesses, themselves, have their own internal clocks — a measure of keeping time often set by how long they’ve been in the market, the maturity of the markets in which they operate, the number of competitors vying for market share and the tech they use to power, manage and measure their business performance. These internal clocks set the pace for how decisions are made and how effective businesses are in creating a market advantage by continually innovating the products and services that their customers value and want to use.

The Triple Clock Theory analysis helps companies anticipate relevant market dynamics to reset their internal clocks.

 

The Triple Clock Theory (TCT) is an original framework that my consulting colleagues and I have devised to help businesses understand the pace of their internal clocks so that they can better assess whether their clocks could be cleaned by rivals seen and unseen — pardon the pun. But more importantly, the TCT analysis uses data-driven analysis to help companies anticipate relevant market dynamics to reset their internal clocks to prevent that from happening.

TCT posits that an incumbent business clock operates at a slower speed than a new entrant clock when introducing a product or service into the same competitive market. The rationale is as obvious as it is simple: Incumbents have created the market, acquired customers, created barriers to entry and have the assets — and a running head start — to sustain and grow their lead. Once a big incumbent machine gets its gears in motion, its momentum carries it forward, at least in theory. Incumbents assume that their clocks don’t have to move as fast because they have a big lead — until, of course, they see faster-paced competitors nipping at their heels.

As newbies, challengers’ clocks must move rapidly because they face a different reality: They lack clients, market position and the deep pockets to lollygag around. New entrants typically use different tools to help their clocks operate at a faster speed and shape their competitive advantage. Those tools could be anything from a new business model, pricing framework, data or payments capabilities, or user experience. Sometimes powerful new entrants bring all of that wrapped around better and more agile tech that makes switching easy and eliminates friction that still exists in how business is done in that market. They are also leaner so they can move fast.

Then there is the third clock, the technology clock, which is one of the sources of market disruption or competitive opportunity for both incumbents and new entrants. The technology clock can either speed up or slow down their respective internal clocks. New, breakthrough tech can create a better, faster and cheaper way to deliver the same product or service — or spawn new challengers that use it to leapfrog existing players. Predicting who will gain the most from the influence of the technology clock on their business is not always obvious since the technology clock does not always advantage new entrants.

Generative AI and LLMs are the most recent example of this third technology clock, but there have been others over the years. Most interesting about the Gen AI clock is its ability to not only change the pace of business, but the fundamental ways in which business is done.

In a matter of a few short months, the intellectual value of its potential has been internalized by every business worldwide. Open-source models are eliminating the barriers to entry that often come along with accessing and integrating powerful tech into business.

Both are fast-tracking Gen AI’s own path to critical mass and ubiquity.

Watching the Real-Time Payments Clock

In 2017, it was the real-time payments technology clock that set out to disrupt how money moved between bank accounts in the U.S. and the rails that, until then, cleared and settled those transactions.

Fundamentally changing the speed for clearing and settling payments was the promise of the first new U.S. payments rail in 40 years, RTP®. The press release announcing the launch described the participation of its then twenty-five owner banks, the biggest of the big in the U.S., along with their expectations of introducing a host of new scenarios using real-time payments and new markets that would see it as a differentiating value proposition for their own products and services.

The stated goal then was to reach ubiquity by 2020 — meaning that every financial institution in the U.S. would be connected to RTP® rails and use it to innovate client-facing payments in those three years post-launch.

The internal clocks at both the Fed and TCH will run a lot faster now that there’s competition for real-time payments transactions.

Six years later, the U.S. remains a long way from ubiquity and adoption of account-to-account real-time payments even though 11 times more banks are members of the RTP® network today than at launch and nearly two-thirds of U.S. bank deposits are connected to it. Being connected means that those banks can move transactions over it — if they develop use cases around it and promote them.

Of course, adoption and use go together to a degree. It is hard to get substantial transaction use without widespread network adoption. But ubiquitous adoption doesn’t guarantee widespread transaction use, which requires use cases that banks market and customers buy.

Now, most people in and around the payments ecosystem say that the introduction of FedNow will move the U.S. more quickly to that real-time payments ubiquity. The CFPB’s desire to accelerate open banking in the U.S. will create more demand for real-time account-to-account payments and move more banks to connect to a real-time network. Merchants, who for decades have tried to find alternatives to card rails for accepting payments, may view FedNow as that alternative.

All of those dynamics will likely quicken the pace of the internal clocks at both the Fed and TCH now that there’s competition for real-time payments transactions. I don’t think its market entry necessarily gives FedNow an edge.

The FedNow Real-Time Payments Clock

In many ways, it makes the march of both rails to ignition — which requires ubiquitous adoptions and widespread use for transactions — more challenging.

For FedNow to scale, early adopters will have to see success — and see it quickly.

Igniting a new payments network requires volume and scale — and how quickly that happens is vital. Having early adopters connect is one thing, but having them transact is another, as the TCH experience shows. If that takes too long for whatever the reason, early adopters will lose interest — and the traction necessary to create the network effects that drive scale will slow. They will likely shift to other real-time payments alternatives.

The less obvious part of the FedNow challenge is the current lack of interoperability between FedNow and RTP®. Unlike the two ACH networks that are also operated by TCH and the Fed, there is currently no ability for a bank to originate a real-time payment on one rail and a bank not connected to that same rail to receive it. Also notable at the FedNow launch are the number of big banks that aren’t connected, at least not yet, but are part of the TCH RTP® scheme — including Bank of America, Citi, and PNC.

In the absence of interoperability, achieving real-time payments ubiquity in the U.S. will require that every bank in the U.S. — all 10,000 of them — be connected to both TCH and FedNow rails. Persuading banks to do that will require the availability of use cases that are compelling enough for consumers and corporates to integrate and support. That seems ambitious and even improbable, particularly since most banks haven’t adopted either network.

Achieving real-time payments ubiquity in the U.S. will require that every bank in the U.S. — all 10,000 of them — be connected to both TCH and FedNow rails.

More likely is that the big banks and technology partners connected to both will create that missing ubiquity by becoming the real-time payments orchestration layer for banks and other third parties. The decision they then face is how to route transactions.

Since pricing over the network is identical, those decisions will hinge on transaction limits, fraud and security protections, acceptance and the preference of their partners, whose real-time payments use cases today may already be satisfied by existing RTP® rails.

It will also rest with which rail can support important future use cases like Request for Payment, given its potential to ignite mainstream real-time payments use by consumers for bill pay — and in a timeframe that is relevant for end users. The consumer protections required of that use case remain a work in progress for FedNow.

That’s not to say that TCH and RTP® have a cake walk to critical mass and ubiquity, either.

The RTP® Real-Time Payments Clock

The lack of an effective RTP® ignition strategy at launch is why connectivity to two-thirds of bank deposits hasn’t turned into 100% connectivity, more transaction volume, and a more powerful set of use cases at scale. RTP®’s biggest competitor today isn’t FedNow, but Same-Day ACH and wires, both of which have ubiquity and deliver a faster payments outcome that banks know how to monetize. Push to debit transactions over card rails support instant payouts for B2C use cases like insurance claims and gaming payouts and check the instant payments box for those use cases using money mobility rails — and on a global scale.

TCH with RTP® and the Fed with FedNow may both think they can operate on a slow clock.

There’s also inertia on the part of corporates who haven’t yet invested in real-time payments integration because they aren’t sure that every bank account they want to send money can receive a real-time payment. Until they move their ERPs to the cloud, their batch-based ERP systems don’t allow them to post payments in real time either, muting their sense of urgency.

Larger corporates see its potential in solving for the nuisance “edge case payments” that are today mostly sent the old-fashioned way with checks but need the ubiquity problem solved first.  Banks, corporates and FinTechs could decide that the workaround for the instant ubiquity challenge is to offer choice — RTP® or FedNow will become one of several options, but not the only way to clear and settle good funds instantly.

Watching the Clock and Getting to Critical Mass

The FedNow launch on Thursday makes the U.S. unique in the world to have both a central bank and private sector instant account-to-account payments rails. The rationale for the introduction of FedNow was to create a redundant set of rails so FIs have a choice, much as they do when processing ACH transactions today.

In some ways, TCH with RTP® and the Fed with FedNow may both think they can operate on a slower clock –and for different reasons. They are owned and run by large incumbents with staying power and money. They have important relationships that they can leverage to drive volume and scale. But unless one of them can get to ubiquity quickly and banks develop and market use cases to move large volumes of transactions over these rails, both could stall.

That’s where the technology clock comes in — as well as the fast clock for smaller and more nimble rivals who may use technology to create something better, faster and cheaper.

As they say, only time will tell.

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Inside The Deal That Made Polymarket’s Founder One Of The Youngest Billionaires On Earth🌍

One year ago, the FBI raided Polymarket founder Shayne Coplan’s apartment. Now, the college dropout is a billionaire at age 27.

In July, Jeffrey Sprecher, the 70-year-old billionaire CEO of Intercontinental Exchange, the parent company of the New York Stock Exchange, sat at Manhatta, an upscale restaurant in the financial district overlooking the sprawling New York City skyline from the 60th floor. As a sommelier weaved through tables pouring wine, in walked Shayne Coplan—in a T-shirt and jeans, clutching a plastic water bottle and a paper bag with a bagel he’d picked up en route. Sprecher chuckles as he recalls his first impression of the boyish, eccentric entrepreneur: “An old bald guy that works at the New York Stock Exchange, where we require that you wear a suit and tie, next to a mop-headed guy in a T-shirt that's 27.” But Sprecher was fascinated by Polymarket, Coplan’s blockchain-based prediction market, and after dinner, he made his move: “I asked Shayne if he would consider selling us his company.”

Prediction markets like Polymarket let thousands of ordinary people bet on future events—the unemployment rate, say, or when BitCoin will hit an all-time high. In aggregate, prediction market bets have proven to be something of a crystal ball with the wisdom of the crowd often proving itself more prescient than expert opinion. For instance, Polymarket punters predicted that Trump would prevail in the 2024 presidential election, when many national pundits were sure that Kamala Harris would win.

Coplan initially turned down Sprecher’s buyout offer. But discussions led to negotiations and eventually a deal. In October, Intercontinental announced it had invested $2 billion for an up to 25% stake in the company, bringing the young solo founder the balance he was looking for. “We're consumer, we’re viral, we're culture. They’re finance, they’re headless and they’re infrastructure,” Coplan tells Forbes in a recent interview.

At the same time, Coplan announced investments from other billionaires including Figma’s Dylan Field, Zynga’s Mark Pincus, Uber’s Travis Kalanick and hedge fund manager Glenn Dubin. A longtime Red Hot Chili Peppers fan, Coplan even convinced lead singer Anthony Kiedis to invest after a mutual acquaintance brought the musician to Coplan’s apartment one day. “He's buzzing my door, and I’m like, ‘holy shit,'” Coplan recalls, his bright blue eyes widening. “I love their music. A lot of the inspiration [for my work] comes from the music that I listen to.”

Thanks to the deals, Polymarket’s valuation quickly shot to $9 billion, making the 2025 Under 30 alum the world’s youngest self-made billionaire, with an estimated 11% stake worth $1 billion. His reign was short: twenty days later, he was overtaken as the youngest by the three 22-year-old founders of AI startup Mercor.

Young entrepreneurs are minting ten-figure fortunes faster than ever. In addition to the Mercor trio and Coplan, 15 other Under 30 alumni—including ScaleAI cofounder Lucy Guo, Reddit’s Steve Huffman and Cursor’s cofounders—became billionaires this year, while Guo’s cofounder Alexandr Wang and Robinhood’s Vlad Tenev (both former Under 30 honorees) regained their billionaire status after having fallen out of the ranks.

The budding billionaire has long been fascinated by markets and tech. When he was just 14, Coplan emailed the regional Securities and Exchange Commission office to ask how to create new marketplaces. “I did not get a response, but it’s a really funny email,” he says, grinning playfully as he thinks of his younger self. “It just shows that this stuff takes over a decade of percolating in your mind.”

Two years later, Coplan showed up at the offices of internet startup Genius uninvited after multiple emails of his asking for an internship went ignored. At age 16—at least a decade younger than anyone in that office—he secured his first job after making a memorable impression with his “wild curls” and “encyclopedic knowledge of billionaire tech entrepreneurs.” “If he chooses to become a tech entrepreneur, which seems likely, I have no doubt that we’ll be seeing his name again in the press before long,” Chris Glazek, his manager at the time, wrote in Coplan’s college recommendation letter.

Coplan went on to study computer science at NYU, but dropped out in 2017 to work on various crypto projects that never took off. In 2020, he founded Polymarket to create a solution to the “rampant misinformation” he saw in the world: The company’s first market allowed users to bet on when New York City would reopen amid the pandemic. He soon expanded into elections and pop culture happenings, among other events.

But it didn’t take long for the company to butt heads with regulators. In January 2022, Polymarket paid a $1.4 million fine to the Commodity Futures Trading Commission for offering unregistered markets. It was also ordered to block all U.S. users, but activity on Polymarket skyrocketed particularly during the 2024 U.S. presidential election, with bets totaling $3.6 billion. A week after the election, the FBI raided Coplan's apartment and seized his devices as part of an investigation into a possible violation of this agreement. Shortly after, Coplan posted on his X account that he saw the raid as “a last-ditch effort” from the Biden administration “to go after companies they deem to be associated with political opponents.”

In July, the Department of Justice and CFTC dropped the investigations—after which Sprecher reached out to Coplan for dinner—and less than a week later, Polymarket announced it had acquired CFTC-licensed derivatives exchange QCX to prepare for a compliant U.S. launch. QCX applied to be a federally-registered exchange in 2022—an application that was left dormant for three years before receiving approval less than two weeks before the acquisition was announced. When asked about the timing of the deal, Coplan points to CFTC acting chairwoman Caroline Pham, who President Trump tapped to lead the agency in January. “Caroline deserves a lot of credit for getting every single license that had been paused for no reason approved, as acting chairwoman in less than a year,” he says. Coplan had realized an acquisition might be the only way for Polymarket to legally operate in the U.S. as early as 2021 due to the lengthy federal approval process, a source familiar with the deal told Forbes.

Just two months after the acquisition and days after Donald Trump Jr. joined Polymarket’s advisory board, the company received federal approval to launch in the U.S. (Trump Jr. has also served as a strategic advisor to Polymarket’s main competitor Kalshi since January.)

Polymarket’s rapid rise has drawn critics. Dennis Kelleher, co-founder and CEO of Washington-based financial advocacy group Better Markets, told Forbes in an email that the current administration’s deregulation around prediction markets has unlocked a regulatory “loophole” to enable “unregulated gambling” under the CFTC, “which has zero expertise, capacity or resources to regulate and police these markets.” Kelleher added that with backing from the Trump family “who are directly trying to profit on this new gambling den… the massive deregulation and crypto hysteria will almost certainly end badly for the American people.”

Investors and businesses are scrambling to seize the moment of deregulation. “We had opportunities to invest in events markets earlier, but there was a lot of risk,” Sprecher says, listing the regulatory changes in favor of crypto and prediction markets under the current administration. “This was the moment to invest if we wanted to still be early in the space.”

In the last few months, Trump’s Truth Social and sportsbook FanDuel, as well as cryptocurrency exchanges Crypto.com, Coinbase and Gemini all announced their own plans to offer prediction markets. Robinhood CEO Vlad Tenev said prediction markets, which were integrated into its platform in March, were helping drive record activity for the retail brokerage in its third quarter earnings call.

“People are starting to realize right now that the opportunities are endless,” says Dubin, the billionaire hedge fund veteran who invested in Polymarket earlier this year. He points to sports betting companies, which have been regulated by states as gambling activity and taxed accordingly. States like New York can tax up to 51% of sportsbooks’ revenue, but federally-regulated prediction markets can bypass state laws, avoiding taxes and operating in all 50 states. With the realization that prediction markets could upend the sports betting industry—which brought in $13.7 billion in revenue in 2024—businesses are quickly jumping on board despite pushback from state gambling regulators. In October, both Polymarket and Kalshi secured partnerships with sportsbook PrizePicks and the National Hockey League, and Polymarket announced exclusive partnerships with sportsbook DraftKings and the Ultimate Fighting Championship.

The disruption won’t be limited to sports betting. Alongside its investment, Intercontinental’s tens of thousands of institutional clients including large hedge funds and over 750 third-party providers of data will soon have access to Polymarket data, as it gets integrated into Intercontinental’s products such as indices to better inform investment decisions. It also hopes to work with Polymarket to work on initiatives around tokenization—or converting financial assets into digital tokens on blockchain technology—to allow traders on Intercontinental’s exchanges to trade more flexibly at all hours of the day, Sprecher says. What’s more, in November, Google Finance announced it would integrate Polymarket and Kalshi data into its search results, while Yahoo Finance also announced an exclusive partnership with Polymarket.

Despite flashy investors, partnerships and a record $2.4 billion of trading volume in November, Polymarket has yet to launch in the U.S. or turn a profit. Coplan and his investors have hinted at ways the company could make money one day—selling its data, charging fees to users, launching a cryptocurrency token (similar to Ethereum or Bitcoin)—but decline to confirm any specifics. For now, the only thing that’s certain is the bet Coplan is making on himself. “Going for it and having it not pan out is an infinitely better outcome than living your life as a what if,” he says.

Standing across from the New York Stock Exchange building, Coplan tilts his head up as he watches a massive banner with Polymarket’s logo get hoisted onto the exterior of the building. It’s been five years since founding. One year since the FBI raid. He’s taking it all in. “Against all odds,” the bright blue banner reads, rippling in the wind alongside three American flags protruding from the building.

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Epstein-Linked Emails Expose Funding Ties to Bitcoin Core Development — Here Is What the Documents Reveal
  • Newly released emails show Jeffrey Epstein helped fund MIT’s Digital Currency Initiative, which supported Bitcoin Core development.
  • The documents also confirm that Leon Black donated to MIT’s Media Lab through Epstein-directed channels.
  • The revelations reshape part of Bitcoin’s early institutional funding history and highlight long-hidden influence from controversial donors.

Newly unsealed emails from the House Oversight Committee have shed fresh light on Jeffrey Epstein’s hidden financial influence inside MIT’s Media Lab — and more importantly, how some of that money flowed into Bitcoin Core development. The correspondence reveals that Joichi Ito, then-director of the MIT Media Lab, relied on Epstein-connected “gift funds” to rapidly launch the Digital Currency Initiative (DCI) in 2015, the research hub that became one of the primary sources of funding for Bitcoin’s core developers.

Emails Show Epstein-Connected Money Helped Launch MIT’s Digital Currency Initiative

In the newly surfaced emails, Ito directly thanked Epstein for the financial help that allowed MIT to “move quickly and win this round,” referring to the formation of DCI — a program explicitly designed to provide long-term support for Bitcoin Core contributors after the collapse of the Bitcoin Foundation. Ito’s forwarded message to Epstein described how the foundation’s implosion left core developers without stable funding, creating an opening for MIT to bring them under its umbrella.

He explained that three major developers — including Wladimir van der Laan and Cory Fields — agreed to join MIT, calling it “a big win for us.” The email also highlighted early support from prominent academics, including cryptographer Ron Rivest and IMF economist Simon Johnson. Epstein simply replied: “gavin is clever.”

Funding Numbers Reveal a Much Larger Financial Trail

MIT publicly claimed that Epstein donated $850,000 to the institution, with $525,000 flowing to the Media Lab. But journalist Ronan Farrow later reported the true figure was closer to $7.5 million — including a $5 million anonymous donation connected to Epstein associate Leon Black. The new emails appear to confirm that Black not only donated, but did so through Epstein’s direction.

One email from Ito to Epstein reads: “We were able to keep the Leon Black money, but the $25K from your foundation is getting bounced by MIT back to ASU.”

 

Epstein responded: “No problem — trying to get more black for you.”

The documents reveal Epstein’s influence reached deeper into Bitcoin circles than previously acknowledged, even including early conversations with Brock Pierce — another figure with documented ties to both Epstein and controversy surrounding early crypto foundations.

MIT’s Internal Concerns and the Fallout

The emails also expose MIT’s internal unease around anonymous or reputationally risky donations. After the scandal broke, Ito resigned in 2019. MIT later tightened donation policies, warning that “everything becomes public” eventually — a statement that now seems prophetic given this week’s disclosures.

Developers like Wladimir van der Laan say they were unaware of the extent of Epstein’s involvement and noted that DCI’s funding transparency “was not great back in the day.” The Media Lab and DCI declined to comment.

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