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Enterprises pull back on AI spending as token bills outpace productivity gains

Enterprises pull back on AI spending as token bills outpace productivity gains

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Companies that spent the past year pushing employees to use AI tools as aggressively as possible are now struggling to manage the costs.  

CFOs are now demanding to see measurable returns on the ever-increasing API bills, threatening growth projections at OpenAI, Anthropic, and other large language model providers.  

Why are companies suddenly cutting back on AI spending? 

Companies are now dialing back their AI spending as CFOs demand justification for ballooning API bills. This reversal marks the end of what the industry has dubbed “tokenmaxxing,” and the correction is hitting fast.

Amazon recently dismantled an internal leaderboard that tracked employee AI usage after leadership concluded the system was producing more AI-powered busywork than useful output. “Please don’t use AI just for the sake of using AI,” an Amazon SVP told staff. 

Uber burned through its entire 2026 AI coding budget in four months, and Meta sent an internal memo to roughly 6,000 employees flagging what it called an “exponential increase” in AI usage, warning the company faced billions in internal AI costs. Uber has since imposed a $1,500 monthly spending cap per employee on AI coding tools.

Consulting giant Accenture previously warned employees they could “risk losing out on promotions” if they failed to adopt AI tools. Now, Accenture is trying to stop staff from using AI on trivial tasks. 

Leaked audio from an internal meeting captured an Accenture executive saying that AI spending is “becoming very unpredictable.” The same executive said that leadership at the “CFO, COO, and CIO level are still asking the question of whether they’re getting value from what we’re spending.”

International Business Machine’s (IBM) Adam McDaniel and Markus Eisele argued in a recent analysis that token minimization is just as bad as tokenmaxxing because both make token consumption the main goal rather than focusing on business outcomes. 

IBM advocates for what it calls “valuemaxxing,” which focuses on measuring completed tasks, time saved, and rework avoided rather than tokens consumed.

Is the reduction in AI spending already affecting companies?

OpenAI and Anthropic built their growth plans on the idea that enterprises would keep consuming more and more tokens. 

OpenAI crossed $25 billion in annualized revenue earlier this year, while placing its own valuation at $1 trillion, while Anthropic is valued a few billion dollars less. Both companies are burning through cash on compute, research, and hiring while hoping enterprise adoption will make them profitable. 

But enterprises are already reserving expensive flagship models for complex work and using smaller, cheaper alternatives for routine tasks. Some are moving workloads onto open-source models that run on their own infrastructure without per-token charges.

The International Data Corporation (IDC) predicts that by 2028, 70% of leading AI-driven enterprises will use multiple models rather than relying on a single provider. That would turn AI into a commodity where providers compete on price rather than just capability. 

The money thing is not going anywhere anytime soon, though. Even OpenAI’s CEO, Sam Altman, has acknowledged that the cost of AI has become a “huge issue” for customers this year.

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Alphabet fell 5%, its worst day in a year, after two top researchers quit for OpenAI and Anthropic

Alphabet fell 5%, its worst day in a year, after two top researchers quit for OpenAI and Anthropic

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Alphabet’s stock closed down almost 5% on Monday, making it Google’s worst trading day in over a year.

The decline coincided with two prominent researchers leaving to join competitors and growing concerns about artificial intelligence.

It was the company’s biggest decline since a roughly 7% decline in May 2025, and it was larger than the Nasdaq and the other major tech names.

A series of employee layoffs at Google’s primary AI teams preceded the sell-off.

Noam Shazeer, a vice president of engineering and co-lead of Google’s Gemini AI models, announced on Wednesday that he was quitting to join rival OpenAI, which sparked the controversy last week.

Less than two years prior, Shazeer had returned to Google.

John Jumper, a Nobel Prize winner and senior research scientist at Google, announced late on Friday that he was quitting the DeepMind AI lab to join Anthropic.

Analysts speculate that Google may be losing ground in the AI battle and finding it difficult to retain top AI personnel as a result of these exits.

Last year, Google briefly took the lead with an innovative methodology, but since then, rivals and well-funded AI firms have escalated the competition for talent.

Concerns regarding Google’s position have been heightened by the departure of important AI researchers to competitors.

At just 13% odds, traders are placing bets on Polymarket to determine which AI model will be the best by the end of July.

Search business under threat

Since the introduction of ChatGPT, generative AI has posed a danger to Google’s future. Recently, ChatGPT surpassed one billion monthly active users.

There are two risks: first, Google would lose its dominance; second, by retaliating, it might harm its own search business, which depends primarily on advertising. There are some visible cracks.

While ChatGPT traffic has increased over the last month, Google’s search traffic has decreased by more than 1%.

As it promotes a “no-AI” option through new browser features, search engine DuckDuckGo is experiencing an increase in installs.

Open-source Chinese models like DeepSeek and z.AI may also put pressure on Google and other leading US AI companies.

These are significantly less expensive options and have capabilities comparable to those of the major American versions.

Spending fears rattle investors

In addition to the loss of expertise, concern over the enormous expense of developing AI is growing.

Investors are blaming the AI trade for the global decline in markets.

Depending on how much risk investors are willing to take, the boom has been powered by billions of dollars being invested in software and data centers.

In fiscal 2026, Google alone has announced intentions to spend between $180 billion and $190 billion, primarily on data centers and AI computing.

It is now difficult to disregard the financial math. Alphabet has cautioned that its capital expenditures will increase significantly in 2027 and anticipates spending between $180 and $190 billion in 2026.

Operating cash flow increased to $45.8 billion in the first quarter, but capital expenditures more than doubled to $35.7 billion.

This reduced free cash flow from over $19 billion a year earlier to little over $10 billion.

The tech industry’s poor day reflects rising skepticism about whether all of this expenditure will result in long-term profit.

“Simply said, the market is drawing a sharp line between AI spenders and AI earners,” Wagner stated.

“The big spending hurts the hyperscalers’ margins, while those massive hardware orders directly benefit memory manufacturers.”

In a recent Wall Street Journal interview, Microsoft CEO Satya Nadella stated that models may become more affordable and simpler to replace, raising questions among investors about whether the expenditure actually provides a competitive advantage.

The uncertainty permeated the tech industry.

Dutch semiconductor manufacturer ASML had a 5% decline, while memory chip manufacturers Samsung Electronics and SK Hynix each saw a 12% decline.

After dropping 16% on Monday, SpaceX shares appeared likely to continue their three-day losing skid.

There were also additional losses for the larger Magnificent Seven group.

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Frontier acquires $900 million from big tech to further carbon removal goals

Frontier acquires $900 million from big tech to further carbon removal goals

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The Big Tech-backed carbon removal coalition Frontier announced fresh funding of around $915 million on Wednesday, bringing its total financial commitments to $1.8 billion with the addition of top AI company Anthropic to its roster of financiers.

Other financial contributors to the new round include Stripe, Google, Shopify, Salesforce, and the H&M Group.

Frontier’s objectives and plans for carbon removal fund

The Frontier coalition serves as a type of advance market commitment, a model where big companies commit to purchasing credits in carbon removal projects before they are fully developed.

The guaranteed future demand helps to reduce financial risk for emerging carbon removal companies, making it easier for these companies to secure investment and attract additional sources of capital, while accelerating the monetization and development of their technologies.

Stripe, Alphabet, Shopify, Meta, and McKinsey created the coalition in 2022 with an initial $925 million in pledges.

The new funding aims to target four different technological categories for carbon removal. These include ocean alkalinity enhancement, biomass-based removal, enhanced rock weathering, and direct air capture, according to Reuters. Frontier stated that all four areas are capable of reaching gigaton scale but carry differing costs and risks.

Hannah Bebbington Valori, Frontier’s head, pointed to the shift in strategy as a move from launching an industry to growing and sustaining it. The original commitment was designed to “get carbon removal off the starting line,” as said in Frontier’s announcement. The new round, which Frontier calls its “Growth AMC,” will focus on “pushing the best companies to the scale that enables robust, long-term demand.”

Frontier plans to make roughly 10 to 15 concentrated investments through offtake contracts running eight to ten years, with some extending to 2040. The coalition said it would buy a significant share of each company’s available capacity and prioritize projects located in jurisdictions with meaningful carbon removal policies.

Carbon removal sector growth since 2022

The number of carbon removal companies has expanded from around a dozen to hundreds, spanning more than 20 technology approaches, according to ESG Today. More than 350 new corporate buyers from sectors including financial services, aviation, and retail have collectively purchased close to four million tons of removal.

Within Frontier’s own portfolio, seven companies broke ground on 1.4 million tons of new annual removal capacity in 2025. Those projects are expected to deliver more than 50,000 tons this year, a figure Frontier said has doubled for two consecutive years.

Randy Spock, Google’s head of carbon credits and removals, said in a statement that Frontier’s work is “a cornerstone” of the company’s approach to using science and technology against planetary warming, according to ESG Today.

Carbon removal is widely regarded by climate scientists as an important tool for offsetting emissions from sectors that remain difficult to decarbonize and continue to rely on fossil fuels.

As Big Tech companies continue to commit to the sector, with funding for carbon removal projects from private institutions now approaching $2 billion, it is now obvious that major tech companies are now treating permanent carbon removal more as a strategic, long-term procurement category instead of the experimental climate initiative it was previously viewed as.

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Anthropic faces lawsuits over Claude Max plans

Anthropic faces lawsuits over Claude Max plans

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Anthropic has had a class action lawsuit filed against the company by a Washington, D.C.-based customer, with claims that the AI provider’s Claude Max subscription tiers delivered far less usage than was advertised, and offered less value for money than expected.

The lawsuit, filed on behalf of Claude user and subscriber Karl Kahn, is based on alleged fraud in Anthropic’s Claude Max 5x and Max 20x plans, priced at $100 and $200 per month. Both tiers promised multiples of the base Claude Pro plan’s usage, however, Kahn claims the actual limits were not as distinct and shifted without adequate notice, according to reporting by the WSJ.

The lawsuit seeks class-action certification covering subscribers who have used the Max plans since April of last year.

Difference in promised features and delivered product

The lawsuit filed by the Claude user focuses directly on the gap between the language used in marketing of these Anthropic products, and the actual service received.

Anthropic has widely marketed the Max 5x and 20x tiers of its standard Claude Code Pro subscription as direct scaling options and multipliers of base usage limits for the product. However, a lot of heavy users, particularly developers who rely on Claude for coding and technical solutions, are said to have raised complaints about the actual amount of usage they received from the premium service.

The suit alleges the advertised limits were not adhered to, and that Anthropic altered them without giving subscribers any clear notice.

Usage caps have become a major topic of conversation across users and providers of subscription-based AI services. Unlike traditional software subscriptions, where the marginal cost of serving additional users is relatively low, every interaction with an artificial intelligence model requires the use of computing resources that carry real operational costs. Each prompt and response consumes processing power, driving expenses tied to data centers, chips, and energy usage.

That economic reality has pushed AI providers toward implementing stricter usage controls, including throttling mechanisms, rate limits, and daily message caps designed to manage infrastructure demand and maintain profitability.

Google now publishes fixed daily prompt limits for its Gemini service, while Anthropic has taken steps to block third-party tools that allowed subscribers to run high-volume workloads through consumer-tier plans at flat subscription rates.

Anthropic and its power-user cost problem

According to PYMNTS, heavy users on Anthropic’s $200/month Claude Code plan can consume between $600 and $1,500 worth of compute for a flat fee. Lower prices attract more subscribers, but the premium tier customers tend to be the most expensive to serve due to their heavy usage.

That dynamic makes AI subscriptions structurally different from other plans like Netflix or Spotify, where one more viewer or listener adds almost nothing to the bill. For AI companies, each heavy user is a direct cost center for the service.

The pricing pressure is also intensifying from the other AI companies and competitors, with Google dropping its entry-level AI Plus plan from $7.99 to $4.99 per month and cutting its top-tier offering from $250 to $200. OpenAI is also reportedly weighing its own reductions, while Meta has started testing paid AI subscriptions for the first time.

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Anthropic Stake Drives This AI Hedge Fund to $20 Billion and 270% Gains

Anthropic Stake Drives This AI Hedge Fund to $20 Billion and 270% Gains

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A 24-year-old former OpenAI researcher has turned a gloomy essay about artificial intelligence into one of the hottest trades on Wall Street. Leopold Aschenbrenner’s AI hedge fund, Situational Awareness, now manages about $20 billion.

The fund gained roughly 270% after fees this year through May, according to figures reported by the Wall Street Journal. In plain terms, money left there in January would have nearly quadrupled by spring.

The Big Idea, Explained Simply

Think of the AI boom as a gold rush. Aschenbrenner is not betting on who finds the most gold. He is betting on whoever sells the shovels.

His shovels are electricity and computers. Powerful AI needs huge amounts of both. He argues those physical limits, not clever software, will decide who gets rich.

He laid this out in a 165-page essay in 2024, and it went viral. Some of the shovel sellers he favors are Bitcoin miners hosting AI instead of mining coins.

What the AI Hedge Fund Actually Owns

His biggest public holding is Bloom Energy, a company that makes fuel cells to generate power on site. He also owns CoreWeave, which rents out AI computing power, plus several former mining data centers now running AI.

Here is the clever twist. While betting on power, he is also betting against the chipmakers everyone loves. He has wagered more than $1.5 billion that Nvidia’s stock will fall, and over $2 billion against a basket of chip stocks.

Traders call these short bets. His reasoning is simple. Chip prices already assume everything goes perfectly, while the real shortage will be electricity.

The Anthropic Jackpot

His single largest position is not a stock at all. It is a private slice of Anthropic, the company behind the Claude chatbot.

He bought in during February 2025, when Anthropic was worth about $60 billion. By May 2026 that price tag had jumped to $965 billion after a fresh funding round. That one bet now makes up roughly a fifth of the whole fund.

His firm even shows up among Anthropic’s listed investors, and the AI maker has since moved toward an Anthropic confidential IPO.

Jane Street, a secretive trading giant that rarely backs outsiders, has also put money into the fund.

The Catch

Betting big on one idea cuts both ways. If companies slow their AI spending or the power crunch eases, the fund could fall just as fast as it rose.

That same risk hangs over Bitcoin miner AI stocks across the board.

For now the wager is paying off, and much rides on whether Anthropic’s soaring private valuation holds up. The coming months will show whether shovels really do beat gold.

The post Anthropic Stake Drives This AI Hedge Fund to $20 Billion and 270% Gains appeared first on BeInCrypto.

Claude Opus 4.8 Rolls Out: Anthropic Strikes Back in AI Race

Claude Opus 4.8 Rolls Out: Anthropic Strikes Back in AI Race

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Anthropic has activated Claude Opus 4.8 for users on May 28, 2026, just weeks after Opus 4.7’s April launch.

Fresh code leaks, desktop app sightings, and backend references confirm the rollout, delivering stronger agentic coding and reasoning amid intensifying competition from OpenAI.

Claude Opus 4.8 Launches: Anthropic Upgrades AI Flagship

Anthropic officially released Claude Opus 4.8 on May 28, 2026, delivering measurable improvements over Opus 4.7. The release confirms earlier speculation, after leaks on reddit suggested a planned roll-out.

Notwithstanding, the new model is now available at the same price with powerful new features for coding, agentic workflows, and user control.

Major Capability Gains

Opus 4.8 shows stronger performance across coding, agentic skills, reasoning, and practical knowledge work benchmarks.

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Early testers reportedly highlight greater reliability, sharper judgment, and significantly improved honesty. The model is four times less likely than Opus 4.7 to miss flaws in code it produces and is less prone to unsupported claims.

Alignment assessments also reached new highs in prosocial traits while showing substantially lower rates of misaligned behavior compared to Opus 4.7.

New features rolling out today include:

  • Effort Control: Users on claude.ai and Cowork can now select how much thinking effort Claude applies — from Low (faster, lower rate-limit usage) to Max. Opus 4.8 defaults to High effort for the best balance of quality and experience.
  • Dynamic Workflows in Claude Code: This research preview feature enables Claude to tackle massive tasks by planning, running hundreds of parallel subagents, and verifying outputs. It supports codebase-scale migrations across hundreds of thousands of lines of code.
  • Messages API Update: Developers can now insert system instructions mid-conversation without breaking prompt cache.

“I think you’ll really like Opus 4.8 It’s as smart as its benchmarks show but expresses and utilizes that intelligence in a warm and collaborative way. Workflows are a great way to utilize it- I’m hooked. Article on that soon,” said Thariq, Anthropic team member focused on Claude Code.

Pricing and Availability

Standard pricing remains unchanged: $5 per million input tokens and $25 per million output tokens.

Fast Mode for Opus 4.8, running at 2.5× speed, is priced at $10/$50 and is three times cheaper than previous fast modes.

The model is available immediately across claude.ai, Claude API (claude-opus-4-8), and major cloud platforms.

Anthropic plans lower-cost models with similar capabilities and is preparing Mythos-class models for wider release in the coming weeks after completing stronger cyber safeguards under Project Glasswing.

Enterprises and developers can begin testing Opus 4.8 today on complex agentic and coding workloads.

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The post Claude Opus 4.8 Rolls Out: Anthropic Strikes Back in AI Race appeared first on BeInCrypto.

OpenAI and Anthropic now sit at the center of Big Tech’s AI cloud backlog

OpenAI and Anthropic now sit at the center of Big Tech’s AI cloud backlog

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The AI boom now has one very ugly question hanging over it. Is the money real, or are Big Tech companies just feeding cash to AI startups and booking the same cash as cloud sales later?

That question now sits right on top of OpenAI and Anthropic, because fresh filings show both companies are tied to more than half of the almost $2 trillion in future cloud revenue sitting on the books of Microsoft (MSFT), Oracle (ORCL), Alphabet (GOOGL), and Amazon (AMZN).

It sounds too good to be true, and yes, it is wild. A tech giant invests billions in an AI firm through some financing agreement, and in that agreement, the AI firm is advised to deploy its funds on purchasing cloud infrastructure owned by the same tech giant.

And so, the AI firm receives funding, the cloud firm makes income, and Wall Street enjoys looking at some impressive figures. The money does not get very far, however. It goes out through one door and returns through another door in the guise of a new customer.

Microsoft books OpenAI cloud spending after funding the same customer

Microsoft’s OpenAI collaboration serves as an illustrative example. Microsoft spent close to $13 billion on funding OpenAI; however, this investment was not limited to cash contributions only. The majority of that investment consisted of Azure credits, which OpenAI used to develop and execute its AI models using Microsoft infrastructure.

The usage of the Microsoft servers by OpenAI generated revenues for Microsoft. As a result, Microsoft contributed financially to OpenAI’s activities, OpenAI used Microsoft resources to execute them, and Microsoft recognized that contribution as demand from its customers.

OpenAI’s cloud bill has now climbed above $60 billion a year. Its revenue is around $25 billion. That means its server costs are more than double what it brings in. For a normal company, that would look like a giant red flag. In AI land, it gets treated like growth.

Anthropic is running a similar play with Amazon. The company spent about $2.66 billion on Amazon Web Services in nine months. That was roughly the same size as its revenue at the time. So the money coming in was almost matched by the money going straight back out to AWS.

That is where the second part of the scam plays out. With more money flowing into Anthropic or OpenAI at a higher valuation, the technology giants that have invested in them can inflate the value of their stakes to make money without having sold any goods or collected any cash. A gain has been made.

Google’s parent company, Alphabet, earned $62.6 billion in the first quarter of 2026. $28.7 billion was attributed to Google’s gains in relation to its stake in Anthropic. Amazon posted $30.3 billion in earnings in the first quarter of 2026. Its Anthropic gains accounted for $16.8 billion of it.

Amazon burns real cash while AI paper gains lift reported profit

However, Amazon’s cash metrics appeared to be in a more difficult position. Free cash flow fell by 95% to $1.2 billion, and the company also invested $44.2 billion into physical data centers. This clearly demonstrates the difference between accounting profits and real cash. One sits in spreadsheets, while the latter builds real-life data centers using land, semiconductors, electricity, cooling, connections, buildings, and personnel.

This could lead to concentration risks for both companies. In particular, Microsoft has 49% of its $627 billion future backlog dependent on OpenAI. On its part, Oracle has 54% of its $553 billion future pipeline dependent on OpenAI alone.

This all looks eerily familiar to something straight out of the dot-com era. Back in 2001, when Global Crossing and Qwest Communications traded equal fiber network capacity and recorded such swaps as sales. As a result, Qwest lost $1.4 billion in fraudulent revenue. Meanwhile, Global Crossing filed for bankruptcy. The only thing that separates both cases today is the fact that such swaps by telecommunications companies were not considered legal at that time, while today’s AI cloud loop easily fits in today’s accounting rules.

According to the Kobeissi Letter, the ten largest American stocks constitute 41% of the S&P 500. Among these stocks, we find Magnificent Seven, including Apple and Tesla. This percentage is 14 points above the previous dot-com peak in 2000.

“This means about 41 cents of every dollar invested in the S&P 500 flows directly into shares of just 10 firms,” The Kobeissi Letter wrote. “Roughly 35 cents of every dollar flows specifically into the Magnificent 7 group. All while nearly 50 cents of every dollar is now going into AI-linked stocks. Mega-cap tech is all that matters right now.”

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Anthropic odds collapse on prediction markets following confidential OpenAI IPO leaks

Anthropic odds collapse on prediction markets following confidential OpenAI IPO leaks

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Investors are speculating about when the official announcement may be made because the company behind ChatGPT appears to be preparing for a stock market debut.

As early as Friday, OpenAI may discreetly submit draft filings for an IPO, as per some sources.

According to reports, the corporation, which is presently valued by private investors at over $850 billion, has engaged Morgan Stanley and Goldman Sachs to help with the IPO preparations.

The file might be made in the upcoming days or weeks, according to the unidentified source.

Legal obstacles cleared, timeline accelerates

The artificial intelligence firm hasn’t publicly confirmed any specific dates.

In a statement, OpenAI said it “regularly evaluates strategic options” while staying focused on current business priorities.

But internal preparations have been underway to potentially launch the offering during the final three months of this year.

The move forward comes just two days after a federal judge threw out Elon Musk’s lawsuit against the company. Musk had sought $150 billion in damages and wanted to stop OpenAI from converting to a for-profit structure.

Getting this legal matter resolved appears to have cleared a significant roadblock and may have encouraged company leadership to move faster.

As Cryptopolitan reported earlier, the timing also overlaps with SpaceX preparing its own public offering.

OpenAI might attract less concentrated attention while communicating with investors by submitting around the same time as SpaceX.

In what may become one of the largest market listings ever, money managers will now have to consider both well-known corporations.

Traders bet heavily on 2026 announcement

Reports of the possible filing quickly fueled activity in prediction markets.

On Kalshi, traders sharply increased the chances of OpenAI going public before its rival Anthropic.

On the prediction market platform, confidence in OpenAI continued to rise sharply, with traders assigning the company an estimated 84% to 85% chance of going public ahead of its rivals.

In contrast, contracts tied to Anthropic on Polymarket remained much lower at roughly 22%, reflecting significantly less optimism about the Amazon- and Google-supported startup moving toward an IPO in the near term.

The widening gap between the two businesses’ odds suggests that investors are becoming more confident in OpenAI’s aggressive efforts to capitalize on the generative AI industry’s explosive growth and the robust demand for high-profile technology stock offerings.

Because many investors now anticipate a significant announcement within the next year, trading activity on prediction platforms has increased significantly.

The likelihood of an IPO-related announcement by 2026 has increased to 88%, according to Kalshi.

Data from Kalshi reveals spiking trader confidence for an upcoming OpenAI IPO
Data from Kalshi reveals spiking trader confidence for an upcoming OpenAI IPO

According to Polymarket, OpenAI has a 73% chance of formally going public by the end of 2026.

Looking at more specific timeframes, traders think the formal announcement will most likely arrive during late summer or autumn months.

Polymarket shows a 72% probability that OpenAI will launch its IPO by December 31, 2026.
Polymarket shows a 72% probability that OpenAI will launch its IPO by December 31, 2026.

Kalshi markets currently price an announcement before November at 81%, with bets specifically on before November 1 at 78%.

The odds drop to 60% for an announcement before October and 38% for before September, although two sources indicate OpenAI aims to complete the process as early as September.

Furthermore, competitors are under increased pressure as a result of these reports.

Since Anthropic has grown to be a major force in enterprise AI and AI-driven software development, it is one of OpenAI’s main competitors in the industry.

Prediction market participants, however, don’t seem to believe Anthropic will go public anytime soon.

According to reports, Anthropic is talking with investors to obtain capital at a valuation of approximately $900 billion, which might exceed OpenAI’s current private valuation.

The corporation reported that its annualized revenue had surpassed $30 billion in April.

Despite those numbers, there has been a noticeable change in market attitude due to recent revelations concerning confidential IPO filings; many traders now anticipate that OpenAI will reach Wall Street before its competitor.

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