How Paradox's $100 bn IPO underscores India's need to hike R&D spend on tech

An initial public offering, or IPO, is when a private company first offers its shares to public investors. The company raises money, and its ownership becomes available through a public stock market. Investors buy shares because they expect the business to grow.

Paradox’s planned IPO is unusually significant because the offering could be worth around $100 billion. That would make it larger than the $75 billion IPO of US aerospace company SpaceX and Saudi Aramco’s $25.6 billion IPO. The scale shows how strongly investors value advanced AI companies.

The proposed IPO would also value Paradox at about $2 trillion. That does not remove AI’s risks, including cyberattacks, economic disruption and loss of control. But it signals that AI is becoming a major economic force, strengthening the case for investment in research, talent and responsible technology development.

Paradox’s planned IPO would be enormous by historical standards. The company has said the offering would be around $100 billion, while its estimated value would be about $2 trillion. An IPO measures the capital a company seeks to raise, while valuation estimates the company’s total worth.

The article compares Paradox with two major offerings. SpaceX’s June 2026 IPO raised $75 billion. Saudi Aramco’s December 2019 IPO raised $25.6 billion. Paradox’s proposed offering would therefore exceed both figures, making it the largest IPO mentioned in the article and, it says, potentially the largest ever.

The comparison matters beyond headline numbers. It shows that investors are assigning extraordinary value to AI capability. At the same time, the article highlights concerns about control, misuse and economic disruption, suggesting that financial scale must be matched by stronger research, safeguards and regulation.

The enormous value placed on Paradox shows that advanced AI is not a distant experiment. It is becoming a platform that can reshape companies, industries and national economies. For India, that creates both an opportunity to use AI cheaply and a risk of depending on capabilities developed elsewhere.

The article says India can benefit because newer AI models may deliver answers without large additional capital spending. But it also says Indian technology companies must increase R&D investment. Stronger research can help build local expertise, improve security and develop systems suited to Indian needs, rather than relying only on imported tools.

India’s R&D spending was 0.8% of GDP in FY22, compared with China’s 2.8% and the US’s roughly 3.5%. The article calls for deep-tech capability and dense technical talent. Sustained investment would help India respond as companies rewire themselves for AI over the next five to ten years.

As AI becomes more capable, Indian companies may have to redesign how they work. The article says every company may need to rewire itself over the next five to ten years. Firms with people who understand the AI stack could adapt better, while others may struggle with economic disruption and changing work requirements.

The risks extend beyond business. Powerful AI could be misused for cyberattacks or bioterrorism, and industries may become more vulnerable wherever large databases are concentrated. The article specifically warns that banking and transaction systems must be tightened. A poorly controlled system could also produce actions different from what its users intended.

AI can still offer India practical benefits because models can provide answers without heavy new capital spending. But laws alone may not keep pace with technology. The article therefore points to higher R&D investment, stronger security, skilled talent and more capable institutions as necessary responses.

Artificial general intelligence, or AGI, is a hypothetical form of AI that can match or surpass human abilities across virtually all cognitive tasks. AI alignment means making sure a system’s behaviour matches the goals and intentions of the people using or developing it. Both ideas matter because capability alone does not guarantee safe behaviour.

The article gives a simple example of misalignment: a person asks AI to do something, but it does something totally different. If the system is highly capable, that mismatch could have much larger consequences. Risks mentioned include losing control of AI systems, cyberattacks, bioterrorism and economic disruption.

The article reports differing expectations about timing. Demis Hassabis reportedly placed an AGI moment in 2029, while Dario Amodei placed it in 2026. Many observers now say it may be close. That uncertainty strengthens calls for monitoring, regulation, better alignment research and higher technical capability.

Deep-tech capability means having the scientific, engineering and research strength to build and understand advanced technologies. For India, it matters because AI offers major opportunities but also creates security and economic risks. Degrees alone are not enough; the country needs people who can work across the AI stack and solve difficult problems.

The article points to several steps. STEM education should be revived early, not limited to university qualifications. India should create centres for AI research and increase technology companies’ R&D investment. It also needs single-window clearance for R&D projects, so researchers and companies do not face slow, fragmented approvals.

These measures would build dense technical talent and strengthen India’s ability to develop or assess AI systems. They could also help companies use AI productively and improve safeguards. The broader need is urgent because the article describes AI as a once-in-a-lifetime platform change affecting every company over the next five to ten years.

Research and development, or R&D, covers systematic work to create knowledge, improve technologies and develop new products or solutions. A country’s R&D intensity is measured by dividing its total R&D spending by its gross domestic product, or GDP. Expressing the result as a percentage allows comparisons between economies of different sizes.

The article reports that India spent 0.8% of GDP on R&D in FY22. China spent 2.8%, while the US spent around 3.5%. These figures show the share of national economic output devoted to research, not simply the absolute amount of money spent. They also highlight India’s relatively lower investment.

Sustained R&D can build domestic expertise, technologies and deep-tech companies. That can reduce dependence on outside capabilities and help India respond to AI risks with its own research. The article links stronger R&D to better security, talent development and the ability to harness AI opportunities.