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WBD Board Rejects Paramount Takeover Attempt, Decrying Offer as ‘Illusory’

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In a dramatic escalation of the battle for one of Hollywood’s most storied legacies, the board of directors for Warner Bros. Discovery (WBD) has formally and unanimously rejected a $108 billion hostile takeover bid from Paramount Skydance, led by CEO David Ellison.

In a blistering 1,400-word letter addressed to shareholders on Wednesday, December 17, 2025, the board did not mince words, labeling the offer as “illusory” and “inadequate.” The rejection centers on a profound lack of trust in Paramount’s financing claims, with the board accusing the company of consistently misleading investors about the true level of financial support provided by the billionaire Ellison family.

The board’s defiance marks a critical defense of its existing agreement to sell its core studio and streaming assets to Netflix for $27.75 per share. Despite Paramount’s higher nominal offer of $30 per share, WBD’s leadership argued that the Netflix merger provides a “superior, more certain value” that avoids the high-risk debt and opaque financing structures inherent in the Ellison-led proposal.

The ‘Backstop’ Controversy: Why the Bid Faltered

At the heart of the board’s rejection is the claim that Paramount and David Ellison misrepresented a “full backstop” from the Ellison family. In corporate finance, a backstop is a critical safety net—a guarantee that if secondary funding falls through, a primary investor will step in to cover the costs and ensure the deal closes. While Paramount marketed its bid as being fully secured by the wealth of Oracle co-founder Larry Ellison, WBD’s board countered that such a guarantee “does not, and never has,” existed in a binding form.

The investigation into Paramount’s filings revealed that the supposed backstop was actually tied to the Lawrence J. Ellison Revocable Trust. The board flagged this as a major red flag, noting that the trust is an “opaque” entity whose assets and liabilities are not public and, crucially, can be withdrawn by the owners at any time. WBD pointed out that the trust would only cover roughly 32% of the required equity and had capped its total liability at $2.8 billion, leaving shareholders exposed to a massive financing gap if other backers—including various Middle Eastern sovereign wealth funds—were to pull out.

The WBD board’s preference for the Netflix merger is rooted in financial stability and strategic clarity. The Netflix deal, valued at $82.7 billion, is a surgical acquisition of Warner Bros.’ film and TV studios, the HBO library, and the Max streaming service. Under this agreement, shareholders receive $23.25 in cash and $4.50 in Netflix stock. This offer is backed by Netflix’s massive $400 billion+ market capitalization and an investment-grade balance sheet, requiring no additional equity financing to complete.

In contrast, the board characterized the Paramount Skydance bid as a high-leverage gamble. If the $108 billion deal were to close, the resulting entity would be burdened with a gross leverage ratio of 6.8x debt-to-EBITDA, a level the board described as “raising substantial risks” for the company’s future.

Furthermore, while Paramount’s bid includes WBD’s struggling linear cable networks (like CNN and Discovery), the board argued that the Netflix path—which requires a prior separation of those assets into a new company called Discovery Global—is a more sound strategic move that allows shareholders to participate in the future upside of both a pure-play content giant and a specialized networks business.

The rejection also touched upon the “significant risks” associated with Paramount’s diverse roster of backers. The board highlighted the potential for regulatory gridlock, noting that Paramount’s reliance on funding from sovereign wealth funds in Saudi Arabia, Qatar, and the UAE could trigger intense scrutiny from the Committee on Foreign Investment in the U.S. (CFIUS). This concern was echoed by some members of Congress who have raised alarms about foreign entities gaining influence over a major American media conglomerate.

The political landscape has added further volatility to the deal. Although David Ellison’s father, Larry Ellison, has been a prominent supporter of the Trump administration, the President has recently voiced frustration with Paramount-owned CBS News, complicating David Ellison’s claims that his bid would face an “easier road” with regulators. Additionally, the recent exit of Jared Kushner’s Affinity Partners from the Paramount bidding group has only added to the perception of a shifting and unstable coalition behind the hostile offer.

Despite the board’s firm “no,” the final decision may still rest with the investors. Because Paramount has launched a hostile tender offer, it is appealing directly to shareholders to bypass the board’s recommendation. WBD stockholders now face a deadline of January 8, 2026, to decide whether to tender their shares to Paramount or stay the course with the Netflix merger.

Tekedia Capital Congratulates Pulse for Processing 1 Billion Pages

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Today, a Tekedia Capital portfolio company, and one of the fastest-growing startups in its category, has crossed a major milestone: one billion pages processed by its technology.

But the real achievement is not merely hitting one billion pages in a matter of months. It is who those pages were processed for. Pulse is powering workflows for global banks, Fortune 100 companies, private equity firms, and AI-native teams. These are organizations where accuracy, scale, and reliability are non-negotiable.

By every meaningful standard, Pulse is emerging as the world’s finest document infrastructure company: “Pulse uses OCR, layout, and vision models to produce high-quality outputs from complex documents for enterprise and AI-native teams.”

To mark this milestone, Pulse is offering a special celebration: 20,000 pages free for everyone. Go here .

Radiant Nuclear Secures $300m for Its 1MW Reactor at $1.8bn Valuation

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The nuclear energy sector is experiencing a financial surge reminiscent of the early days of the AI boom, with Radiant Nuclear becoming the latest beneficiary of a high-stakes investment wave.

Just one day after Last Energy announced a $100 million raise, Radiant disclosed a massive $300 million Series D funding round, valuing the startup at more than $1.8 billion. Led by Draper Associates and Boost VC, and supported by heavyweights like Chevron Technology Ventures and Founders Fund, the deal underscores a frantic rush to secure future energy supplies for a power-hungry world.

This influx of capital is part of a broader pattern of “eye-popping” fundraises. In the last three months alone, the sector has seen X-energy raise $700 million and Aalo Atomics secure $100 million. For Radiant, this round follows a $165 million Series C just six months ago, signaling that investors are no longer satisfied with slow-moving research; they are now funding the transition to industrial-scale mass manufacturing.

The AI Power Crisis: Why Data Centers are Going Nuclear

The primary catalyst for this “frothy” market is the relentless expansion of Artificial Intelligence. Data centers and developers are facing a looming electricity shortfall, leading them to look beyond the grid for dedicated, “behind-the-meter” power sources.7 Radiant has already capitalized on this trend, signing a landmark deal with global data center leader Equinix to supply 20 of its microreactors.

While many nuclear startups are aiming for large-scale utility plants, Radiant is focusing on the microreactor—a compact, modular unit that can be deployed quickly and autonomously. This strategy appeals directly to data center operators who need reliable baseload power to feed dense GPU clusters without the decade-long wait times associated with traditional nuclear facilities.

Kaleidos: A Portable Powerhouse Designed for the Modern Edge

Radiant’s flagship technology is the Kaleidos, a high-temperature gas-cooled microreactor designed to produce 1 MW of electricity and up to 1.9 MW of thermal power. Unlike traditional reactors that rely on vast quantities of water for cooling, Kaleidos is helium-cooled and uses fans for air-to-air heat exchange. This “waterless” design allows it to operate in remote desert environments, disaster zones, or military outposts where traditional cooling is impossible.

The safety of the Kaleidos rests on its use of TRISO (Tri-structural Isotropic) fuel. These are tiny poppy-seed-sized kernels of uranium enriched with carbon and ceramic-coated layers. These layers act as a containment vessel for each individual grain of fuel, making it virtually meltdown-proof. The fuel can withstand temperatures that would melt traditional reactor cores, ensuring that if cooling is lost, the reactor naturally sheds heat without releasing radiation.

A critical differentiator for Radiant is its move toward mass production. The company is breaking ground on its R-50 factory in Oak Ridge, Tennessee, aiming to eventually produce up to 50 reactors per year. The core philosophy is that fission will only become cost-competitive with diesel if reactors are built on assembly lines rather than as “first-of-a-kind” artisanal construction projects.

The Kaleidos unit is designed to fit entirely within a standard 8×20-foot shipping container, allowing it to be delivered via semi-truck or aircraft and activated overnight. Radiant’s business model reflects this flexibility: customers can purchase the units outright or enter into Power Purchase Agreements (PPAs). At the end of a reactor’s 20-year lifespan, Radiant simply hauls the unit away, removing the burden of nuclear waste management from the site owner.

The 2026 Criticality Sprint and the Bubble Risk

Radiant is currently in a high-speed regulatory sprint. The company is one of 11 selected for the U.S. Department of Energy’s Reactor Pilot Program, which is racing toward a goal set by the Trump administration: to have at least three advanced reactors achieve criticality—a self-sustaining nuclear reaction—by July 4, 2026.

Testing for Radiant’s demonstration unit is scheduled to begin in the Summer of 2026 at the Idaho National Laboratory’s DOME (Demonstration of Microreactor Experiments) facility. This will be the first time a new commercial reactor design has been tested in the facility in over 50 years.

However, the rapid influx of cash raises the specter of a market bubble. If these startups fail to meet their 2026 milestones or if the transition from “hand-built” demonstration units to “factory-mass-produced” units stumbles, a significant winnowing of the field is likely. The coming two years will determine whether this is the dawn of a nuclear golden age or a speculative fever that outpaced the technical reality of building hard infrastructure.

Ex Bitcoin Miner Hut 8 Signs $7bn AI Data Center Lease, Highlighting Scramble for AI Power and Data Center Capacity

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Hut 8’s move to lease and develop a large-scale data center in Louisiana is more than a single corporate expansion. It is another marker of how the artificial intelligence boom is reshaping the digital infrastructure industry and accelerating the decline of cryptocurrency mining as a core business model.

The company announced on Wednesday that it had signed a deal valued at approximately $7 billion to lease a data center site at the River Bend campus in Louisiana, where it plans to develop a 245-megawatt facility under a 15-year agreement. Investors welcomed the announcement. Hut 8’s shares jumped 21% in premarket trading, extending a rally that has already lifted the stock by around 80% this year as markets reassess the company’s future away from bitcoin mining.

Construction of the first phase of the data center is expected to be completed by early 2027, a timeline that reflects the growing complexity and long lead times associated with building power-intensive AI infrastructure. Once operational, the site is expected to host high-density computing workloads designed to support large-scale artificial intelligence models, a segment where demand is rapidly outpacing available capacity.

Hut 8’s shift mirrors a broader industry realignment. Companies that once focused almost entirely on cryptocurrency mining are increasingly repurposing their assets to serve AI developers. Access to high-voltage power, advanced cooling systems, and suitable industrial real estate, once optimized for mining digital tokens, has become critical infrastructure for training and running AI models.

Firms such as CoreWeave and Applied Digital have made similar pivots as competition for Nvidia graphics processing units and other specialized hardware intensifies.

The Louisiana deal also stands out for the partners involved. The project includes collaborations with AI model developer Anthropic and infrastructure provider Fluidstack. Alphabet-owned Google is providing a financial backstop for the 15-year lease term, a signal of how aggressively major cloud and technology companies are moving to secure long-term capacity for AI workloads. For cloud providers, locking in power and physical space has become as strategic as developing the models themselves.

The agreement fits into a much larger expansion plan. Hut 8 said the collaboration with Anthropic could ultimately scale to as much as 2.3 gigawatts of capacity, far exceeding the initial 245-megawatt phase in Louisiana. Last month, Anthropic announced a $50 billion investment plan to build data centers alongside Fluidstack, underscoring the scale of capital now being committed to AI infrastructure globally.

Hut 8 has been laying the groundwork for this transition over the past year. Once viewed as a pure-play bitcoin miner, the company now describes itself as an energy infrastructure platform. It said last month that it controls a total power pipeline of 8.65 gigawatts, spanning projects at various stages, from early site diligence to 1.53 gigawatts of late-stage developments already under active construction planning.

The pivot reflects changing economics in both crypto and AI. Cryptocurrency mining has become increasingly volatile, with margins squeezed by energy costs and regulatory uncertainty. At the same time, demand for AI computing has surged as companies race to deploy large language models and other machine learning systems, pushing up the value of reliable power and purpose-built data centers.

Hut 8 is betting that AI infrastructure will offer more predictable revenues and stronger growth prospects than its former core business by tying up long-term power capacity with blue-chip partners and financial backing from a major technology firm. More broadly, the deal illustrates how the AI boom is not only transforming software and models but also redrawing the map of who controls the physical foundations of the digital economy.

Amazon Reportedly in Talks to Invest $10bn in OpenAI Even as Profit Questions Linger

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Amazon is in early discussions to invest as much as $10 billion in OpenAI, highlighting how investors — including the world’s largest technology companies — continue to commit extraordinary sums to the sector, even as profitability remains elusive for most AI ventures.

According to CNBC, the talks could result in OpenAI relying more heavily on Amazon’s AI chips, deepening ties between the ChatGPT maker and the e-commerce and cloud computing giant. If completed, the deal would value OpenAI at more than $500 billion, Bloomberg reported, citing a person familiar with the matter.

The Information first reported that Amazon was exploring the investment.

The sheer scale of the potential valuation illustrates how strongly investors are betting on AI’s long-term promise, even as near-term financial returns remain uncertain. Generative AI products have yet to demonstrate a clear, durable path to profitability, largely because of the enormous costs associated with training and running large models. Data centers, specialized chips, energy consumption, and talent acquisition continue to consume vast amounts of capital, often far outpacing revenues.

Still, that has not slowed the flow of money.

Amazon’s interest in OpenAI comes as the company looks to broaden its exposure in the AI race. It has already invested about $8 billion in Anthropic, positioning itself as a major backer of OpenAI’s rival while using those ties to promote its cloud services and proprietary hardware. Earlier this month, Amazon unveiled the latest version of its Trainium AI chips and disclosed plans for the next generation, part of a broader effort to reduce reliance on Nvidia and strengthen Amazon Web Services as an end-to-end AI platform.

A deal with OpenAI would be strategically significant for Amazon. Securing OpenAI as a customer for its AI chips would validate years of internal chip development and potentially drive massive workloads onto AWS. It would also place Amazon more squarely at the center of the AI ecosystem, alongside Microsoft and Google, both of which have tightly integrated AI models into their cloud and consumer offerings.

However, the appeal of new capital is straightforward for OpenAI. The company recently completed its transition to a for-profit structure, a move that allows it to raise money more freely and reduce its dependence on Microsoft, which owns roughly 27% of the firm. That shift has come as OpenAI’s spending commitments have surged. Training increasingly capable models requires long-term contracts for compute and infrastructure that run into the tens of billions of dollars.

The broader AI landscape is now defined by what many investors describe as circular deals. Major cloud providers and chipmakers invest in AI startups, which then commit to using those same companies’ data centers and hardware.

In March, OpenAI invested $350 million in CoreWeave, which used the funds to buy Nvidia chips that ultimately power OpenAI’s own workloads. In October, OpenAI took a 10% stake in AMD and agreed to use its AI GPUs, while also signing a chip usage deal with Broadcom. In November, OpenAI struck a $38 billion cloud computing agreement with Amazon, even before any equity investment had been finalized.

These arrangements are seen as reflections of a shared calculation across the industry: securing access to compute capacity now is more important than worrying about margins later. For many backers, the risk of missing out on the next foundational AI platform outweighs concerns about current losses.

That mindset helps explain why capital continues to pour into AI despite growing unease in parts of the market. Some analysts have warned that spending on AI infrastructure is racing ahead of demand, raising fears of overcapacity. Others point to the lack of proven business models beyond enterprise subscriptions and experimental consumer products.

Yet valuations keep climbing, and funding rounds keep getting larger.

The logic is defensive as much as opportunistic for Big Tech. Companies like Amazon, Microsoft, Google, and Meta are under pressure to ensure that AI does not erode their core businesses. Investing heavily — even at uncertain returns — is seen as a way to stay relevant, shape standards, and lock in strategic partners.

The talks between Amazon and OpenAI remain preliminary and may not result in a deal. But they capture the moment the AI industry is in: a phase defined less by profits and more by scale, positioning, and the belief that whoever controls the infrastructure and relationships today will dominate the economics tomorrow, whenever they finally arrive.