The company announced the changes on Monday, making AI Plus the lowest-priced paid AI subscription offered by a provider in the US market.

Vikas Kansal, product lead for Gemini AI subscriptions, said on X that the storage upgrade would reach users over the next few days.

Google AI Plus was introduced in January as an entry-level paid plan aimed at individual users and students. The service includes access to Gemini with higher usage limits, Omni Flash video generation, Google Flow creative tools, NotebookLM and AI-powered features in Gmail.

In Nigeria, alongside AI Plus at N7,700, Google still offers higher-priced plans. Google AI Pro costs N28,500 per month and includes 5TB of storage, expanded Gemini access and the company’s Pro model.

Google AI Ultra starts at N89,000 per month, offers at least 20TB of storage and provides significantly higher usage limits, as well as early access to new features.

The current price reduction follows a series of changes to Google’s AI subscription business this year. In April, the company increased storage on its AI Pro plan to 5TB without raising prices. A month later, it launched a new AI Ultra package and reduced the cost of its top-tier subscription from $250 to $200 per month.

With competition increasing among AI providers over subscription pricing, and premium plans taking over the market, companies have now started introducing cheaper options to attract more users.

This first became visible in India, one of the world’s fastest-growing AI markets. OpenAI launched ChatGPT Go there in August 2025 at about $4.60 per month, well below the price of its standard ChatGPT Plus subscription. Google followed with its own sub-$5 AI Plus offering in India later that year.

Google’s latest decision brings that pricing strategy to the United States, where subscription costs have so far played a smaller role in competition between major AI companies.

The development could increase pressure on competitors, particularly Anthropic, which has not introduced a lower-cost subscription tier or localised pricing in key international markets.

OpenAI and Anthropic are both preparing for public listings after filing confidential IPO paperwork, and growing price competition could become an important issue for investors assessing the long-term profitability of AI businesses.

The company announced on Monday that it had submitted a confidential S-1 filing with the U.S. Securities and Exchange Commission (SEC), but said it had not yet decided when to go public.

In a statement, OpenAI said: “We recently submitted a confidential S-1. We expect it to leak so we’re just announcing it. We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company. But it’s a complicated set of tradeoffs and this gives us the option to go public sooner if that ends up being best.”

The filing places OpenAI alongside competing AI developers Anthropic and Perplexity, which also submitted confidential IPO documents last week and this week.

Meanwhile, Elon Musk’s SpaceX is preparing for its own stock market debut, setting up what could become one of the biggest waves of technology listings in recent years.

Although OpenAI did not disclose the size of the proposed offering or a timeline for the listing, this development will boost the company’s growth since the launch of ChatGPT in 2022.

OpenAI has grown into one of the world’s most valuable private firms, with latest valuation standing at about $852 billion, while Anthropic was recently valued at nearly $965 billion following a new funding round.

According to reports, OpenAI has been working with investment banks Goldman Sachs and Morgan Stanley on the IPO process.

The company is also expected to organise a tender offer that would allow employees to sell some of their shares, providing liquidity ahead of any public listing.

OpenAI, however, is still facing challenges to justify its valuation as it spends heavily on computing power and infrastructure needed to train and operate more advanced AI models.

The company has reportedly raised more than $180 billion from investors but is still in a phase of significant spending.

Chief Executive Officer Sam Altman said in a recent blog post that the company is entering what he described as its “third phase”.

According to Altman, OpenAI first focused on research into artificial general intelligence before becoming a product company through services such as ChatGPT.

“Now we are entering the third phase,” Altman wrote. “The economy is beginning to reshape around AI. The central question now is how to make advanced AI abundant, affordable, safe, useful, and easy enough for every person and organization to benefit from it.”

The planned IPO arrives shortly after a case involving OpenAI and Musk. An advisory jury recently ruled against claims brought by Musk, who had accused OpenAI and Altman of abandoning commitments related to the company’s original non-profit mission. A federal judge subsequently adopted the jury’s verdict.

The number of AI companies preparing for public listings is also drawing attention across the wider industry.

AI search startup Aravind Srinivas said Perplexity still intends to pursue an IPO in 2028 regardless of how the listings of OpenAI and Anthropic perform.

“Agnostic of these two companies, we were planning for something in 2028, so that still remains the case,” Srinivas told CNBC.

He acknowledged that investor reaction to upcoming AI listings could influence market sentiment, particularly the reception to SpaceX’s offering.

“I certainly think there will be ripple effects if they don’t go well, like there is no sugar coating on that. The SpaceX IPO this week will definitely be a leading indicator of how Anthropic or OpenAI will go out,” he said.

Srinivas added that strong public market performances would benefit the AI sector.

“I think it’s important for the AI industry that these IPOs go well, and I actually think they will go well, because they’re doing well.”

A report by the Wall Street Journal said Meta had repeatedly delayed plans to make the API available to developers and, as of Tuesday, had not set a launch date. The report cited people familiar with the matter.

However, Meta disputed suggestions that the project had stalled. A company spokesperson said on Wednesday that testing is already underway with a group of early partners and that the company still expects to release the API later this month.

“The muse spark API will be coming soon,” Meta AI Chief Alexandr Wang announced in a post on X in April.

Meta AI Unveils Spark to Power Next-Gen AI across Platforms

The API would allow developers to integrate Muse Spark into their own software and services. An API, or Application Programming Interface, is a software bridge that enables different systems to communicate and work together.

Meta introduced Muse Spark in April as the first model developed under its Superintelligence Labs initiative, which was created to strengthen the company’s position in the competitive AI market.

The model is designed to narrow the gap between Meta and competitors including OpenAI, Anthropic and Google.

While Muse Spark is already available to consumers through Meta’s applications, users can currently access it only through built-in modes such as Instant, Thinking and Contemplating. Developers still do not have access to a public API, and Meta has yet to release documentation, pricing details, rate limits or eligibility requirements.

The lack of information has created apprehension among developers hoping to build products around the model. Without a public timeline, waitlist or technical documentation, companies interested in integrating Muse Spark are unable to plan deployments or assess costs.

The delays also come at a sensitive time for Meta. Investors have been monitoring the company’s AI strategy as it spends heavily on infrastructure, talent and product development.

Questions about execution have grown following reports of an Instagram security incident involving Meta’s AI-powered support system, which exposed weaknesses in automated account management processes.

Earlier on Wednesday, Meta unveiled a new AI agent designed to help businesses handle day-to-day tasks, showing that the company is going beyond consumer chatbots and into enterprise services.

The launch highlights Meta’s goal to compete more directly with OpenAI, Anthropic and Google across multiple areas of the AI market.

Muse Spark is expected to bolster that strategy. It is the first in what Meta has described as a new generation of advanced models from its Superintelligence Labs unit.

However, the repeated postponements have left analysts, developers and investors waiting for evidence that the company can translate its AI investments into products that are ready for global use.

Access is still currently limited to a small group of testing partners, while the developer community is waiting for Meta to open the platform to the public.

This places the artificial intelligence firm among the world’s most valuable private technology companies ahead of a possible stock market debut.

The Series H round drew backing from investment firms including Altimeter Capital, Dragoneer, Greenoaks, Sequoia Capital, Capital Group, Coatue and D1 Capital Partners.

Investors such as Baillie Gifford, Blackstone, Brookfield, DST Global and Fidelity Management & Research also joined the round.

The funding package also includes $15 billion in previously committed investments from large cloud companies, including $5 billion from Amazon announced earlier this year.

Samsung, SK Hynix and Micron joined the round as strategic infrastructure partners.

With the funding, Anthropic plans to expand computing capacity, grow its Claude products and continue research into safety and interpretability.

The company announced the funding on the same day it released Claude Opus 4.8, its latest model focused on coding, advanced reasoning and what it described as stronger honesty and self-correction abilities.

Anthropic has expanded rapidly since its last fundraising round in February, helped by rising demand from business customers using Claude Code and other enterprise tools. The company said its annualised revenue run rate passed $47 billion earlier this month.

“Claude is increasingly indispensable to our growing global community of customers, and we work tirelessly to make tools like Claude Code and Cowork more helpful, more powerful, and more adaptable to their needs,” said Krishna Rao, chief financial officer of Anthropic.

“This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens.”

The company also said it recently signed new agreements with Amazon, Google, Broadcom and SpaceX to secure more computing power as demand for Claude grows.

Under those agreements, Amazon will provide up to five gigawatts of additional capacity, while Google and Broadcom will supply next-generation TPU infrastructure. SpaceX will also provide access to GPU capacity through its Colossus systems.

Anthropic revealed that Claude is now available across Amazon Web Services, Google Cloud and Microsoft Azure, with AWS remaining its main cloud and training partner.

“Claude’s latest advancements have driven large-scale adoption among the world’s most demanding organisations. This momentum positions Anthropic to lead the next phase of AI innovation and capture the enormous opportunity ahead,” said Brad Gerstner, founder and CEO of Altimeter Capital.

Marc Stad, managing partner at Dragoneer, said, “The technological progress we are seeing right now is breathtaking. And we believe that we are still in the earliest days of both the development and commercialisation of this technology.”

Neil Mehta, founder and managing partner at Greenoaks, added, “Rarely has a company’s culture, mission, and commercial momentum reinforced each other so completely. We are honoured to deepen our partnership.”

With competition increasing among leading artificial intelligence companies seeking more users, stronger computing infrastructure and fresh investment before entering public markets, Anthropic’s latest raise will strengthen its place.

Earlier this year, OpenAI secured a funding round valued at $852 billion after investment, while Elon Musk’s xAI, now merged with SpaceX, has reportedly targeted a $2 trillion valuation ahead of a future public offering.

• Big Tech calculated to harvest up to $162,492 per person in inflation-linked commercial value from internet users worldwide over a lifetime, according to first-of-its-kind report
• Across the world’s estimated 6,000 million internet users the report’s upper lifetime estimate would amount to approximately $745 trillion in commercial value.
• The study, which assessed 129 major companies, found Amazon, Alphabet, Microsoft, Meta and Anthropic are some of the most significant beneficiaries of data capture.

Web3 Foundation today launched ‘The Hidden Price of Free: What Your Data Is Really Worth’, a groundbreaking report revealing that Big Tech and AI companies earn upto $160,000 in commercial value from each internet user over a digital lifetime.

This equates to a staggering $745 trillion across the combined global population of internet users over a period of 60 years.

The study calculated the companies earn upto $8,500 per year from USA internet users per year, upto $2,206 per user in United Kingdom and Europe and $407 in the rest of the world. Globally this equates to an annual amount of upto $908 per internet user.

Over a lifetime that means the commercial value for a user in the USA is $511,869, UK and Europe $132,387, $24,424 in the rest of the world and overall $54,499 globally – or a huge $1.08m in the USA, $260,542 in UK and Europe, $72,821 elsewhere and $162,492 globally when inflation-linked.

In relative terms, the lifetime figure is equivalent to almost five years of full-time employment in the UK, using the ONS 2025 benchmark of $52,474 per annum.

On an inflation-linked basis, the US lifetime figure of $831,301 is roughly equivalent to two times the Q1 2026 median sales price of a new US house. Amazon, Alphabet (Google), Anthropic, Microsoft and Meta are explicitly listed in the report, each earning up to $1,000 annually on a single internet user.

The report shows that the modern internet is not free but paid for through personal data. Searches, clicks, locations, purchases, prompts, messages, images, preferences and behavioural signals are collected, analysed and monetised by some of the world’s most powerful companies, usually without users having meaningful visibility, bargaining power or participation in the value created.

Unlike previous attempts to estimate the value of personal data, which have focused mainly on advertising revenue per active user, Web3 Foundation’s methodology takes a broader view of how human data is monetised in the modern digital economy.

The study examines advertising, AI subscriptions, enterprise licensing, API access, data brokerage, marketplaces, algorithmic recommendations and AI-driven cost savings.

This allowed the findings to account not only for social media and search platforms, but also for emerging AI firms, hardware-linked digital ecosystems and data brokers whose business models increasingly depend on collecting, analysing and reusing personal data at scale.

The report stresses that the figures are not presented as precise valuations or direct cash entitlements owed to individuals. Instead, they are intended as a benchmark for understanding the scale of commercial value associated with personal data and the extent to which that value is captured by companies rather than users.

Why AI changes the data economy

Web3 Foundation argues that artificial intelligence makes the imbalance more urgent. Personal data is no longer used only to target adverts. It is used to train models, improve recommendations, power enterprise systems, build behavioural profiles, create predictive products and generate new forms of machine intelligence.

Every search query, location signal, online purchase, social interaction, uploaded image or chatbot prompt can become part of a wider data economy. As AI systems become more capable, human-origin data becomes more valuable, while users remain largely excluded from the economic upside.

Web3 as a different model

The report says Web3 offers a fundamentally different vision for the internet. Rather than relying on centralised platforms that collect and monetise user data behind closed doors, Web3 technologies are built on decentralised digital infrastructure that can give individuals greater control over their identity, assets and online activity.

In a Web3-enabled internet, users could decide what data they share, with whom and on what terms. The report argues this could shift power away from dominant technology platforms and towards the individuals who generate the underlying value.

“For too long, the internet has operated on an implicit bargain that users do not fully understand: convenience in exchange for surveillance. This report helps expose the scale of that imbalance. The modern digital economy is powered by human data, yet the people generating that value have little visibility, control or participation in the upside. Web3 technology can offer a path toward a more equitable internet, where individuals have genuine ownership over their digital lives rather than simply being the raw material for someone else’s business model.” – Gavin Wood, founder, Web3 Foundation

“The internet does not have to work this way. For decades, digital platforms have been built around centralised control, where users hand over their data, identity and value in exchange for access to services. Web3 represents a fundamentally different model, one where individuals can own their digital assets, verify their identity without surrendering personal information and participate more fairly in the online economy. As AI accelerates and data becomes even more valuable, building a more transparent, user-led internet is becoming increasingly urgent.” – Bill Laboon, vice president, Technical Operations, Web3 Foundation

The venture, called The Deployment Company, brings together 19 investors, including TPG Inc., Brookfield Asset Management, Advent International and Bain Capital. SoftBank Group and Dragoneer Investment Group are also involved.

People with direct knowledge say the new company is valued at about $10 billion, not counting the new capital raised, while OpenAI will keep control of the business.

OpenAI wants its tools used inside more companies, not just tested. So it will place its engineers, who will help redesign workflows, automate routine tasks and ensure wider use of its software, directly within organisations backed by these investors.

This approach changes direction from simply selling access to software to focusing on hands-on deployment. It is closer to a service model, where companies pay not just for tools, but for implementation and ongoing support.

The investors backing the venture control more than 1,000 companies between them. That gives OpenAI a ready pipeline of clients without relying on long sales cycles. It also means faster rollout across sectors.

OpenAI has committed about $500 million upfront, with the option to increase that to $1 billion later. The rest of the funding will come from private equity firms over the next few years.

Interestingly, OpenAI is offering investors a 17.5% annual return, and if the venture doesn’t meet expectations, it will cover the gap, creating risk. On a $4 billion commitment, the shortfall could run into hundreds of millions each year if returns disappoint.

The development comes after Anthropic secured about $1.5 billion for a similar initiative. Its backers include Blackstone Inc., Goldman Sachs and Hellman & Friedman, who plan to deploy AI tools across their own investment portfolios.

Both companies are trying to prove that their technology can deliver value inside large organisations even as they move closer to potential public listings.

OpenAI is on track for about $30 billion in annual revenue this year, and at the same time, heavy spending on infrastructure could push losses as high as $14 billion.

People familiar with the talks say investors have already made early offers in the range of $850 billion to $900 billion but the company has not accepted any of them.

Discussions are still at an early stage, and nothing has been agreed.

Several investors are trying to secure large stakes, with some offers said to be worth up to $50 billion in new capital. A decision is expected at a board meeting in May.

Anthropic last raised funds in February and that round brought in $30 billion, valuing the company at $380 billion. If this new round goes through at the higher valuation being discussed, it would mark a surge in a matter of months.

The move would also change its position in the market as OpenAI was valued at about $852 billion in March after a major funding round, but a deal at $900 billion would place Anthropic ahead as the most valuable artificial intelligence startup.

The company has received backing from major technology firms. Google has committed billions of dollars, with more funding tied to performance targets. Amazon has also invested heavily and plans to increase its stake over time.

Anthropic declined to comment when contacted.

Revenue growth has supported the surge in investor interest with the company’s annual revenue run rate passing $30 billion earlier this year and is now said to be approaching $40 billion.

Growth has come from demand for its Claude models, especially tools built for coding and business use.

Recent releases include new versions of its core systems and a cybersecurity-focused model with limited access due to safety issues.

There is also a public listing under consideration. Bloomberg reported that an initial public offering could come as soon as October. If that plan holds, this funding round may be the last before the company goes public.

The company behind ChatGPT will first invest $500 million in the venture, known internally as DeployCo, with the new business expected to reach a $10 billion valuation in a funding round due to close in early May.

DeployCo has been set up as a Delaware-listed limited liability company. Its main role will be to speed up the use of OpenAI’s workplace products as the company launches harder into the business market.

Financial Times reported that OpenAI will hold super-voting shares in the venture, giving it stronger control over key decisions.

The report also noted that OpenAI has the option to invest another $1 billion later. At the same time, investors including TPG, Bain Capital, Advent International, Brookfield and Goanna Capital are expected to provide a further $4 billion.

Private equity backers are said to be investing for five years, with OpenAI guaranteeing them an annual return of 17.5%.

If completed, the deal would rank among the biggest partnerships between an artificial intelligence company and private equity investors.

OpenAI has recently increased its focus on corporate customers. It is looking to grow products such as ChatGPT Enterprise and other workplace tools beyond its consumer business.

That effort comes as competition increases in the business market. Anthropic, maker of Claude, is widely seen as having gained stronger traction with corporate clients. The company has also benefited from partnerships with Amazon and Google Cloud.

Microsoft is another major competitor through its deep ties with OpenAI and the integration of OpenAI models into Microsoft 365 and Azure. Google is also expanding its Gemini products for enterprise users.

Private equity firms are valuable partners because many of them own or influence large companies and can impact software spending decisions across their portfolios.

Reuters said it could not immediately verify the Financial Times report. OpenAI, TPG, Bain Capital, Advent International, Brookfield and Goanna Capital did not immediately respond to requests for comment.

The proposed joint venture could help OpenAI open a new revenue stream outside ChatGPT subscriptions, while expanding artificial intelligence tools across sectors such as finance, healthcare and manufacturing.

The agreement, which expands a partnership the two companies began in 2023, strengthens Amazon’s place in the fast-growing market for advanced computing services.

Amazon said it will invest $5 billion in Anthropic immediately, with a further $20 billion available later if agreed commercial targets are met. That comes on top of the $8 billion Amazon has already invested in the company.

Anthropic, the maker of Claude, said it will use current and future generations of Amazon’s Trainium chips to train and run its models, expecting to secure up to five gigawatts of computing capacity over time.

The company also confirmed that one gigawatt of capacity using Trainium2 and Trainium3 chips should be available by the end of this year.

Giving Anthropic more access to the large-scale infrastructure needed to support high demand, Amazon gets a major long-term customer for its custom-built chips and cloud services.

More than 100,000 customers already use Anthropic’s Claude models on AWS, according to the companies.

Customers will also be able to access Anthropic’s Claude Platform directly through AWS accounts, allowing them to use existing billing, security controls and monitoring tools without separate contracts.

Amazon has invested heavily in expanding data centres and computing power as demand for advanced software tools rises. The company recently said it expects around $200 billion in capital spending this year, with much of that linked to technology infrastructure.

Chief Executive Andy Jassy said Anthropic’s long-term use of Trainium chips showed the progress both companies had made together.

“Our custom AI silicon offers high performance at significantly lower cost for customers, which is why it’s in such hot demand,” he said.

“Anthropic’s commitment to run its large language models on AWS Trainium for the next decade reflects the progress we’ve made together on custom silicon, as we continue delivering the technology and infrastructure our customers need to build with generative AI.”

Anthropic Chief Executive and co-founder Dario Amodei said demand for Claude continued to grow quickly.

“Our users tell us Claude is increasingly essential to how they work, and we need to build the infrastructure to keep pace with rapidly growing demand,” he said.

“Our collaboration with Amazon will allow us to continue advancing AI research while delivering Claude to our customers, including the more than 100,000 building on AWS.”

Amazon shares rose about 2.7% in extended trading after the announcement.

GPT-5.4-Cyber is a version of OpenAI’s latest model adjusted for defensive security work and will not be widely available at launch. Instead, OpenAI is giving early access to selected security firms, organisations and researchers.

The release follows Anthropic’s recent launch of its own frontier model, Mythos. That system is being tested under a restricted programme known as Project Glasswing, where only approved groups can use it for cybersecurity tasks.

According to Anthropic, the model has already identified thousands of serious weaknesses across software systems.

OpenAI is taking a comparable route but with a wider rollout plan over time. The company is expanding its Trusted Access for Cyber programme, which it introduced earlier this year. This scheme verifies users before granting them access to more capable tools.

Under the updated structure, more individuals and teams will be admitted, but access depends on how much information they provide to confirm their identity and role. Those in the highest tier will be allowed to use GPT-5.4-Cyber.

The company said the model has fewer restrictions when handling sensitive tasks such as vulnerability research and code analysis. It is designed to support security professionals who need to examine software more deeply, including analysing compiled programmes without access to their source code.

At the same time, OpenAI is carefully monitoring how the system is used. Because the model allows more freedom, the company is limiting its release and adjusting safeguards as it learns from real-world use.

Tools like GPT-5.4-Cyber can be used for both defence and attack, OpenAI acknowledged that risk, noting that threat actors are already experimenting with artificial intelligence to find new ways into systems.

To manage that, the company said access will not just depend on the model itself, but on who is using it and for what purpose. Strong identity checks and clearer signals of intent are being built into the process.

The aim is to make security tools more widely available without opening the door to misuse. OpenAI said it does not want to decide centrally who gets to defend systems, but it still needs controls that can scale.

This latest release builds on earlier initiatives, including its cybersecurity grant programme and tools designed to scan and fix software vulnerabilities. The company said these systems have already helped address thousands of high-risk issues.

OpenAI expects both risks and benefits to grow, saying future models will likely require stronger protection, even as they provide more advanced support for those working to protect digital infrastructure.