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Tamara News  /  Blog  /  Artificial Intelligence
30 Sep 2026
Office building signaling the Anthropic IPO filing and its market impact

Anthropic’s Leaked IPO Filing Points to a $2 Trillion Price Tag

Categories Business

A prospectus for Anthropic’s initial public offering has leaked. The numbers inside are extraordinary, even by the standards of the current AI boom. The Anthropic IPO filing, reviewed separately by Reuters, Fortune and CNN, shows the maker of the Claude chatbot lost $8.06 billion in 2025. Revenue grew more than tenfold over the same period. The company is still pursuing a public valuation north of $2 trillion.

The filing shows a business scaling faster than almost any technology company before it. It also shows spending commitments large enough to reshape how investors think about the AI industry’s staying power.

What the Anthropic IPO filing actually shows

Anthropic’s revenue reached $4.6 billion in 2025. That is up 1,088% from the year before, according to the prospectus. Its operating loss widened to $8.06 billion, nearly triple the $2.98 billion it lost in 2024. Infrastructure and computing spending tripled to $7.33 billion over the same period. The company reported $20.28 billion in cash on hand at the end of December 2025.

Looking ahead, the filing discloses $518 billion in committed cloud, computing and infrastructure obligations. That figure covers capacity Anthropic has already signed contracts for. Fortune’s reporting says the company expects to need that capacity over roughly the next decade.

Trading screens reflecting market reaction to the Anthropic IPO filing

A valuation that keeps climbing

A filing reported by Axios valued Anthropic at $965 billion. Other accounts of the same prospectus describe a targeted public valuation above $2 trillion once shares begin trading. Either figure would place Anthropic among the largest public listings in history. A report from Uniladtech noted the debt and spending disclosed in the filing could put Anthropic on track to eclipse the stock market debut record set by SpaceX.

A group of former OpenAI researchers founded Anthropic in 2021. It has become one of two companies, alongside OpenAI, that dominate discussion of frontier AI development. Fortune expects the IPO to happen after the November 2026 U.S. midterm elections.

The company’s own warning about its technology

One of the more unusual elements of the filing is how bluntly Anthropic describes the risks of the technology it sells. CNN reported that the prospectus warns Anthropic’s own AI models could pose “existential risks to humanity.” It cautions that increasingly autonomous systems “could behave in unexpected ways, create security problems, be used for fraud or manipulate information.”

The filing also flags a concentration risk. Two unnamed customers accounted for nearly a quarter of Anthropic’s 2025 revenue. Most of the company’s customer contracts are not long-term agreements, according to Fortune’s review of the document.

What happens between now and the listing

A leaked prospectus is not a finished offering. Anthropic has not confirmed a listing date, an exchange, or a final share price range. The numbers in a draft filing can still change before any public sale of stock. Investors will be watching one thing closely: whether the $518 billion in infrastructure commitments is matched by revenue growth steep enough to justify it. That question matters more given how concentrated Anthropic’s revenue currently is among a small number of customers.

The listing will also test how public markets price a company that tells investors its core product carries catastrophic risk. An AI leader warning regulators and shareholders about its own technology, while asking them to fund its expansion, has no close precedent on Wall Street.

What this means beyond Silicon Valley

If Anthropic proceeds toward a $2 trillion valuation, it would rank among the most valuable companies ever to go public. It would compete for capital and attention with established giants rather than other startups. The scale of the $518 billion infrastructure commitment also has knock-on effects for chipmakers, cloud providers and the data-center construction industry. All three stand to benefit if Anthropic’s spending plans hold.

Frequently asked questions

What is the Anthropic IPO filing?

Several news organizations, including Reuters, Fortune and CNN, reviewed a draft prospectus for Anthropic’s planned initial public offering before its formal release. It discloses the company’s financial results, spending commitments and risk factors.

How much money did Anthropic lose in 2025?

The filing reports an operating loss of $8.06 billion for 2025, up from $2.98 billion in 2024, even as revenue grew to $4.6 billion.

What valuation is Anthropic seeking?

Accounts of the prospectus describe a targeted public valuation above $2 trillion, while a valuation of $965 billion was separately reported by Axios in connection with the filing.

When will Anthropic actually go public?

No date has been confirmed. Fortune’s reporting indicates the listing is expected after the November 2026 U.S. midterm elections, but the timeline could shift.

What did Anthropic say about the risks of its own AI models?

The filing reportedly warns that Anthropic’s AI systems could pose existential risks to humanity. It adds that more autonomous systems could behave unpredictably, create security problems, or enable fraud.

Is a leaked IPO filing final?

No. The figures, valuation and timeline in a draft prospectus can all change before a company completes its public offering.

Related coverage on Tamara News

Sources

  • Fortune — Anthropic’s leaked IPO prospectus details steep losses, rapid growth, and a fear that AI could end humanity. fortune.com
  • CNN Business — Anthropic says its AI models pose ‘existential risk to humanity’ in leaked IPO filing. cnn.com

28 Sep 2026
3D rendering of a DNA double helix, illustrating the Claude CRISPR enzyme discovery

An AI Spent 21 Hours Searching DNA. It May Have Found Something Big.

Categories Tech

Anthropic says its Claude AI model identified a new enzyme system in bacterial DNA. The system resembles CRISPR, the naturally occurring gene-editing tool. The Claude CRISPR enzyme discovery was announced September 24, 2026. It came after the model spent 21 hours autonomously searching a large database of DNA sequences, at the direction of researchers in Anthropic’s new San Francisco biology lab.

The system shows characteristics found in only a handful of other programmable biological structures, according to Al Jazeera. Anthropic describes it as a potential new gene-editing mechanism. The company has stopped short of calling it a finished discovery.

How the Claude CRISPR enzyme discovery happened

Researchers set Claude loose on a large genomic database, rather than pointing it at a specific target. Over 21 hours, the model searched for patterns resembling known programmable enzyme systems. CRISPR itself was first found in bacteria. There, it works as a natural immune defense against viruses, as described in background from the 2026 AI research timeline.

The approach reflects a broader bet in biology. AI models can scan far more genetic data than human researchers could review manually. That can surface patterns that would otherwise stay buried.

What scientists outside Anthropic are saying

Reactions have split between excitement and caution. Stanford bioengineering associate professor Stanley Qi called the discovery “incredibly exciting,” saying AI could “greatly expand our ability to explore these biological patterns more effectively and rapidly.”

Washington University microbiologist Kevin Blake struck a more cautious tone. He noted that finding CRISPR-like sequences does not by itself point to a therapeutic breakthrough. “There are millions of bacterial species we have yet to study,” Blake said. He added that there is “nothing to indicate this is a rival to CRISPR-the-technology.”

Scientist working in a laboratory, representing the research behind the Claude CRISPR enzyme discovery

Why the distinction between finding and proving matters

CRISPR-Cas9, the technology version most people know, took years of extra research before it became a usable gene-editing tool. Spotting a CRISPR-like pattern in bacterial DNA is an early step, not a finished product. Turning any new enzyme system into something clinically useful would take extensive lab validation. That validation has not yet happened.

What happens next with this research

Anthropic has not said whether it plans to publish the finding in a peer-reviewed journal. That step would let independent scientists scrutinize the claim. Outside researchers will likely want to replicate the pattern-matching in the same genomic database first. Expect competing AI labs to test similar autonomous search approaches on their own biological datasets.

Quick answers on the discovery

What did Anthropic’s Claude AI actually discover?

Claude identified a new enzyme system in bacterial DNA with characteristics resembling CRISPR, a naturally occurring gene-editing tool, after searching a genomic database for 21 hours.

Is this a new gene-editing tool ready for use?

No. Scientists describe it as an early-stage finding. It would need years of additional lab validation before it could become a usable gene-editing technology, similar to CRISPR’s own development path.

Do scientists agree on how significant this is?

Not entirely. Some, like Stanford’s Stanley Qi, call it exciting evidence of AI’s research potential. Others, like Washington University’s Kevin Blake, caution that finding CRISPR-like sequences is common given how many bacterial species remain unstudied.

How did Claude search for this enzyme system?

Researchers directed Claude to autonomously search a large database of DNA sequences. The model spent 21 hours looking for patterns resembling known programmable enzyme systems.

Where is Anthropic’s biology research based?

The discovery came out of Anthropic’s newly established biology lab in San Francisco, according to Al Jazeera’s reporting.

Related tech reporting on Tamara News

For more AI coverage, see our reports on Jensen Huang’s AI regulation comments, the early launch timeline for Gemini 4, and OpenAI’s rogue agents on government websites.

27 Sep 2026
data center tax breaks server infrastructure

One Lawmaker Says Big Tech Has ‘More Money Than God’ — and a Tax Break

Categories Tech

Ohio state lawmaker Tristan Rader is pushing to claw back sales-tax exemptions worth more than $1.5 billion. Those data center tax breaks let Amazon, Google and Meta avoid tax last year alone, a figure he says blew past original state estimates by more than tenfold. Rader, a Democrat representing Lakewood, wants new data-center-specific taxes. He also wants requirements that the companies pay more toward the power and electrical infrastructure their facilities consume.

Data center tax breaks apply to cloud computing server infrastructure like this

How the data center tax breaks ballooned

Ohio’s sales-tax exemption for data centers was designed to attract investment. It lets operators avoid tax on qualifying equipment purchases in exchange for long-term commitments to build and hire in the state. Rader says the exemption’s actual cost to Ohio surged past $1.5 billion last year. That is more than ten times what state officials originally projected when the incentive was designed. The overshoot is large enough that it has drawn bipartisan attention to how the program is structured going forward.

Why one lawmaker is pushing back now

Rader’s objection is blunt: he argues Amazon, Google and Meta no longer need the incentive to justify building in Ohio. “They seem to have more money than God and they’re able to build without the need for these types of incentives,” he said. That framing casts the exemptions as an unnecessary subsidy to some of the world’s most profitable companies. It is not, he argues, a targeted tool for attracting investment that would not otherwise happen. His proposals include new data-center-specific taxes. He also wants operators to contribute more directly to the cost of power and electrical grid upgrades.

Ohio isn’t acting alone

The pushback fits a broader pattern of states rethinking how generously they court data centers. Ohio Governor Mike DeWine paused new applications for the sales-tax exemption in May 2026, effectively freezing the program while the state reassesses its cost. New York went further in July 2026, enacting a one-year statewide moratorium on new hyperscale data centers altogether. Both moves reflect growing concern among state officials. Hosting these facilities mainly brings construction jobs and a smaller number of permanent operations roles. Officials increasingly doubt that benefit still outweighs the tax revenue given up, and the strain the facilities place on local power grids.

What the companies have said

Amazon, Google’s parent Alphabet, and Meta did not immediately respond to requests for comment on Rader’s proposal. Their silence leaves the political framing largely to critics for now. All three companies have previously defended data-center investment in other states. They point to local job creation, community infrastructure spending, and long-term tax revenue once exemption periods expire.

What happens next for data center incentives nationally

Rader’s proposal would need to move through the Ohio legislature. Its prospects depend on how much appetite Republican leadership has for revisiting an incentive program tied to some of the state’s largest recent capital investments. More broadly, expect other state legislatures to watch Ohio and New York closely. Either state might successfully claw back incentives, or hold firm on a moratorium without scaring off future investment. If so, other states weighing similar hyperscale data-center proposals are likely to write tighter terms into their own incentive packages. Utility regulators are also part of this conversation. Much of the recent criticism centers as much on the strain hyperscale facilities place on regional power grids as on the tax revenue foregone. Several states are separately weighing whether data-center operators should pay a larger share of the transmission and generation capacity their facilities require.

Frequently asked questions

How large are the data center tax breaks in question?

Ohio’s sales-tax exemption for data centers cost the state more than $1.5 billion last year, according to state Rep. Tristan Rader, more than ten times the original estimate.

Which companies are named in the dispute?

Amazon, Google and Meta are the companies Rader specifically cited as beneficiaries of Ohio’s data center sales-tax exemption.

What is Rader proposing instead?

New data-center-specific taxes and requirements that operators pay more toward the cost of power and electrical infrastructure their facilities require.

Have other states taken similar action?

Yes. Ohio’s governor paused new exemption applications in May 2026, and New York enacted a one-year moratorium on new hyperscale data centers in July 2026.

Have Amazon, Google or Meta responded?

None of the three companies immediately responded to requests for comment on the proposal.

Why states offered these incentives in the first place

Sales-tax exemptions for data centers became a common economic-development tool over the past decade. States competed for the large capital investments hyperscale computing facilities represent, often running into the billions of dollars per site. The pitch to state legislatures was straightforward: exempt the equipment purchases from tax. In exchange, the state gains construction jobs, a smaller number of permanent operations positions, and property-tax revenue once any abatement period ends. What has changed is the sheer scale of recent AI-driven data center buildouts. That scale has made the true cost of these exemptions far larger than the modest programs originally designed for a handful of facilities per state.

More on the AI infrastructure buildout

For more on the infrastructure race behind this fight, see our reporting on Oracle’s delayed Project Jupiter data center and AMD’s climb to a trillion-dollar valuation.

Sources

27 Sep 2026
insurers AI healthcare costs hospital billing documents

Insurers Say AI Just Added $942 Million to America’s Hospital Bills

Categories Tech

The Blue Cross Blue Shield Association said on September 26, 2026, that AI coding tools have added roughly $942 million in extra hospital spending over two years. The figure puts a hard number on a dispute over insurers AI healthcare costs, one that has played out behind closed doors for months. The association’s analysis found a sharp rise in patients documented as having complex conditions. It found no matching change in the actual care those patients received.

Insurers AI healthcare costs tracked through hospital computer documentation systems

What the insurers AI healthcare costs analysis found

Blue Cross Blue Shield Association’s internal review looked at claims submitted using AI-assisted coding tools. That software helps hospitals translate patient charts into the billing codes insurers use to determine reimbursement. The analysis found patients increasingly coded as having complex, higher-reimbursement conditions. But BCBSA found no evidence of a corresponding change in the treatment those patients actually received. In other words, the diagnosis codes got more expensive on paper without the underlying care changing to match. That is exactly the pattern insurers watch for when coding practices shift from accurate documentation toward inflated billing.

Who is building the tools in question

The article names Abridge, an AI documentation startup, as one of the higher-profile companies in this space. The broader trend spans a wider set of AI coding and documentation vendors. Hospitals have adopted them over the past two years to speed up clinical paperwork. Abridge founder Shiv Rao acknowledged the risk of what he called “a horrible dystopic future.” In that future, hospital-side and insurer-side AI systems increasingly negotiate with each other, rather than humans reviewing claims directly. He also argued AI could eventually reduce friction and cost, rather than add to it.

Insurers say they are losing ground

Luke Chalker of BCBSA offered a blunter assessment. He described the current dynamic as “a completely one-sided blood bath” in disputes between hospitals and insurers over these claims. The framing reflects a broader anxiety inside the insurance industry. Hospitals have adopted AI coding tools faster and more aggressively than insurers have adopted AI systems that catch the resulting changes in coding patterns. That leaves payers reactive rather than in control of the trend.

Why this matters beyond the two industries fighting over it

Higher documented complexity translates into higher reimbursement. Those costs eventually show up somewhere in the system: premium increases, tighter prior-authorization rules, or renegotiated contracts between insurers and hospital networks. Patients rarely see the AI coding dispute directly. But its incentives can shape how aggressively their bills get coded, and how closely insurers scrutinize claims before paying them. The dispute also previews a wider pattern. AI tools are embedding themselves on both sides of high-stakes negotiations, from insurance claims to legal contracts to procurement.

What happens next in the AI coding fight

Expect insurers to push for their own AI-assisted auditing tools, capable of flagging documentation that looks statistically unusual. That would mirror the arms-race dynamic Rao described. Regulators and state insurance commissioners already scrutinize coding practices for signs of upcoding. A dollar figure this specific, from a major insurer trade group, is likely to draw their attention. Hospital associations, in turn, can be expected to push back on BCBSA’s methodology in the coming weeks.

Frequently asked questions

How much extra cost do insurers say AI added to healthcare billing?

The Blue Cross Blue Shield Association estimated roughly $942 million in additional spending over a two-year period tied to AI-assisted hospital coding.

What exactly did the analysis find?

It found a sharp increase in patients coded as having complex conditions without a matching change in the actual care those patients received.

Which company is mentioned as a coding-tool provider?

Abridge, an AI documentation startup, is cited as a notable player. The trend, though, involves a broader set of AI coding vendors that hospitals have adopted.

Do hospitals dispute the insurers’ AI healthcare costs claim?

No formal hospital-industry rebuttal is detailed here. Disputes of this kind are typically contested, though, given the financial stakes on both sides.

What might change as a result?

Insurers are likely to invest in their own AI-based claim-auditing tools, and regulators who track coding practices may scrutinize the trend more closely.

How hospital coding actually works

Hospitals bill insurers using standardized diagnosis and procedure codes. Those codes determine how much a given claim gets reimbursed. More complex diagnoses generally attract higher payments, reflecting the added resources complex cases require. Hospitals adopted AI documentation tools largely to reduce the administrative burden on clinicians. The software transcribes patient encounters and suggests codes automatically, rather than requiring a doctor or coder to do that translation by hand. BCBSA is not arguing the tools are inaccurate in a technical sense. Its concern is that the pattern-matching may be nudging documentation toward higher-complexity codes faster than patient acuity is actually changing. That distinction is hard to prove definitively. It shows up clearly, though, in aggregate billing data over time.

More on AI and sensitive institutions

For more on how AI systems are reshaping sensitive institutions this month, see our coverage of the OpenAI Medicare portal breach and the simultaneous outage that hit major AI platforms.

Sources

26 Sep 2026
Microsoft Copilot AI reboot laptop coding

Microsoft Just Quietly Gave Up on Copilot as Your AI Best Friend

Categories Tech

The Microsoft Copilot AI reboot, reported by Bloomberg on September 25, folds the company’s separate consumer and workplace assistants into a single product built primarily for corporate customers. The move effectively ends Microsoft’s attempt to compete with OpenAI, Google and Meta for the personal AI companion market.

Why the Microsoft Copilot AI reboot is happening now

The personal Copilot push had struggled to gain traction. ChatGPT has reached a billion users, and Google has pushed Gemini across the Android ecosystem, while Microsoft’s standalone consumer chatbot attracted comparatively few users of its own. Mustafa Suleyman, who had led the consumer AI effort, handed day-to-day responsibility to Jacob Andreou in March 2026, a shift that in hindsight lines up with the direction the company has now taken.

What changes for users

Microsoft Copilot AI reboot chatbot app on smartphone

The unified Copilot keeps a set of consumer-facing features, including health tools and news surfacing. Its main development effort is now aimed at document editing inside Word and Excel, an integrated coding assistant, and a rebranded “Autopilot” feature, formerly known as Scout. Charles Lamanna, who oversees the product, put the strategic shift bluntly: “We’re not going to build a Copilot that’s like your personal companion…We help you get stuff done.”

That framing marks a clear retreat from the personal-companion positioning Microsoft had experimented with over the past two years. It favors a narrower productivity pitch aimed at the roughly 90 million paying Microsoft 365 users already inside the company’s ecosystem.

The numbers behind the pivot

As of June 2026, Microsoft had signed up more than 30 million Copilot subscriptions, a figure that trails well behind ChatGPT’s reported billion-user base. The reboot has reportedly taken six months of engineering effort to build, and Microsoft plans to begin rolling it out in the coming weeks. One early enterprise reference point: professional services firm GHD has had 12,000 employees using Copilot since a late-2023 launch, a scale Microsoft is now trying to replicate more broadly.

What this means for the AI assistant market

By stepping back from the personal chatbot race, Microsoft is effectively conceding that category to OpenAI’s ChatGPT and Google’s Gemini, at least for now. It is betting instead that its advantage lies in workplace software Microsoft already controls. That is a narrower bet than the one the company appeared to be making when it first launched a standalone consumer Copilot app, but it plays to Microsoft’s existing strength in enterprise software distribution.

Industry analysts following the AI assistant market said the move reflects a broader pattern among large technology companies this year. Rather than chasing consumer engagement metrics directly, several are refocusing AI investment on products with existing paying customers and clearer near-term revenue, a lower-risk path than competing head-on for mass-market chatbot users.

How the Copilot rollout unfolds from here

The unified product is expected to begin rolling out to users in the coming weeks, starting with the enterprise-facing features inside Word, Excel and coding tools. Whether Microsoft revisits a standalone consumer play later will likely depend on how quickly its enterprise-first Copilot can close the usage gap with ChatGPT and Gemini. Many everyday users now encounter AI tools through their employer’s software rather than by downloading an app of their own choosing.

More on the AI race

Related coverage: Google’s early Gemini 4 launch timeline, Jensen Huang’s comments on AI regulation, and the AI antitrust lawsuit against major labs.

Copilot changes: your questions answered

What is actually changing with Copilot?

Microsoft is merging its separate consumer and workplace Copilot products into one enterprise-focused assistant rather than continuing to build a standalone personal chatbot.

Why is Microsoft stepping back from the consumer market?

The standalone consumer Copilot drew far fewer users than ChatGPT’s billion-user base or Google’s Gemini rollout across Android, making the enterprise market a more promising focus.

Will consumer features disappear entirely?

No. Health tools and news surfacing remain, but the bulk of new development is going into Word and Excel document editing, coding assistance, and the rebranded Autopilot feature.

How many people currently use Copilot?

Microsoft reported more than 30 million Copilot subscriptions as of June 2026, alongside roughly 90 million paying Microsoft 365 users who could gain access to the reworked assistant.

When does the reboot roll out?

Microsoft says the rollout begins in the coming weeks, following what the company describes as a six-month engineering effort.

Reporting sources

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