We’re all selfish in this world: “Google has thrown its weight behind OpenAI in the intensifying battle, reinforcing the argument that strict copyright enforcement threatens the future of artificial intelligence. Both companies, facing mounting legal challenges, have called on the US government for regulatory changes that would allow AI firms to train on publicly available data, including copyrighted material, without facing legal uncertainty.”

The artificial intelligence industry, already grappling with sky-high costs and a rocky path to profitability, is now embroiled in a high-stakes legal and policy battle over copyright. AI companies like OpenAI and Google find themselves at the center of lawsuits that could define the limits of AI training and reshape the industry’s future. At the heart of the conflict lies a fundamental question: should AI models have unrestricted access to copyrighted material for training purposes?

Just imagine that because it is AI, the small money they pay me for my books will not be paid, because one AI company has the rights to use the books as it wants. “O di egwu” [truly mystical] on how money can make humans lose sense of logic.

Think of this: if they can find money to buy Nvidia chips at $billions, why can’t they find $millions to pay copyright owners? I just hope no judge approves their prayers.

The beauty of America is that property rights exist. The money I get yearly from the US Government on my patent is valuable. Since they sought part licensing rights and I approved, the money has been flowing. If because of AI, from copyrights to patents, everything is destroyed, can we have a future? AI companies: find money and pay copyright owners! Between AI and property rights, we vote property rights,

AI’s Copyright Crisis: Google Supports OpenAI’s  Push For US To Codify AI Training As Fair Use

The artificial intelligence industry, already grappling with sky-high costs and a rocky path to profitability, is now embroiled in a high-stakes legal and policy battle over copyright. AI companies like OpenAI and Google find themselves at the center of lawsuits that could define the limits of AI training and reshape the industry’s future. At the heart of the conflict lies a fundamental question: should AI models have unrestricted access to copyrighted material for training purposes?

Google has thrown its weight behind OpenAI in the intensifying battle, reinforcing the argument that strict copyright enforcement threatens the future of artificial intelligence. Both companies, facing mounting legal challenges, have called on the US government for regulatory changes that would allow AI firms to train on publicly available data, including copyrighted material, without facing legal uncertainty.

Their position has sparked fierce opposition from content creators and media organizations, most notably the New York Times, whose lawsuit against OpenAI could reshape the legal landscape for AI development.

The New York Times, argues that the company improperly used its copyrighted content to train ChatGPT. Google, another major AI player, is also under fire, fending off multiple lawsuits accusing it of scraping copyrighted material without permission. These cases could set legal precedents that force AI companies to pay hefty licensing fees or severely limit the datasets available for training.

The Copyright Conundrum

For AI companies, training data is everything. The more data their models consume, the better they perform. But a growing number of content creators, news organizations, and artists argue that AI firms are profiting from their work without permission or compensation.

OpenAI, in its response to the Times lawsuit, has painted stringent copyright enforcement as an existential threat to AI innovation. Google has echoed this sentiment, calling for “balanced copyright rules” that would allow AI firms to use copyrighted data without being bogged down by complex negotiations.

Yet, many believe that Google’s definition of “balance” is heavily skewed in favor of tech companies. The search giant’s latest AI policy proposal suggests that publicly available data—whether copyrighted or not—should be fair game for training. Google insists that AI training does not significantly impact rightsholders, but content creators see it differently, pointing out that AI-generated content could ultimately replace human creators.

The Government’s Role in AI Development vs. Copyright Protection

Amid the ongoing legal battles, the U.S. government is stepping into the fray. The Trump administration has called for a National AI Action Plan to shape the future of the industry, a move that AI companies have seized upon to push for regulatory changes that favor their interests.

Google’s proposal calls for government backing in multiple ways:

• Funding AI Development: Google wants the federal government to subsidize AI research and provide financial incentives for startups.
• Infrastructure Overhaul: The company argues that AI progress requires a modernization of America’s energy grid, citing estimates that global data center power demand will surge by 40 gigawatts between 2024 and 2026.
• Federal AI Adoption: Google urges the government to set an example by integrating AI into public services, advocating for open datasets to be made available for AI training.

AI firms are also pushing for a unified national policy that would override restrictive state laws. California’s recent AI safety bill, SB-1047, which sought to impose stricter regulations on AI developers, was vetoed. But the fear of a fragmented regulatory landscape remains a major concern for companies like Google and OpenAI, which would prefer a more lenient federal framework.

Another contentious issue in the debate is liability. AI companies do not want to be held responsible for the actions of their users. Google, in particular, has strongly opposed any attempt to impose liability on AI developers, arguing that their products are inherently unpredictable.

“In many instances, the original developer of an AI model has little to no visibility or control over how it is being used by a deployer and may not interact with end users,” Google states in its policy document, effectively shifting responsibility to those who deploy or interact with AI models. This stance mirrors that of OpenAI, which has consistently resisted calls for greater accountability.

The EU’s AI Act, which proposes mandatory transparency requirements—including disclosures of training data sources—is seen as a looming threat. Google has warned that such measures could force companies to reveal trade secrets, potentially giving foreign competitors an advantage. The company is now lobbying the U.S. government to oppose stringent AI regulations at the international level and instead promote a “light-touch” approach that aligns with American business interests.

The role of artificial intelligence (AI) in the future of programming has become one of the most contentious debates in the technology industry, with fears mounting that AI could lead to massive job losses. These concerns have been particularly pronounced among software engineers, as rapid advancements in AI-driven code generation tools raise questions about the future of traditional programming jobs.

During a recent interview at the SXSW conference, IBM CEO Arvind Krishna addressed the issue, asserting that while AI will significantly boost productivity for developers, it is unlikely to replace programmers anytime soon. His remarks come at a time when many companies are laying off workers and replacing them with AI-driven systems, fueling anxiety across the tech industry.

However, Krishna’s statement has provided a measure of relief to programmers and tech professionals worried about job security. Instead of outright replacement, he believes that AI will serve as an indispensable tool to augment human efficiency, helping developers work smarter rather than rendering them obsolete.

AI’s Role in Programming: A Tool for Efficiency, Not Displacement

Krishna estimates that AI could write 20–30 percent of code, but he is skeptical of claims that AI will soon dominate complex programming tasks.

“If you can produce 30 percent more code with the same number of people, are you going to get more code written or less?” he asked, arguing that rather than reducing job opportunities, AI could allow companies to undertake more ambitious projects and increase market share.

His view stands in contrast to more aggressive predictions from other industry leaders. Dario Amodei, CEO of Anthropic, has forecast that AI could be generating up to 90 percent of all code within the next three to six months. Meanwhile, Salesforce CEO Marc Benioff has suggested that his company may stop hiring traditional software engineers by 2025 due to productivity gains from AI, signaling a possible shift toward a drastically different hiring landscape.

Despite this, Benioff acknowledges that AI cannot function autonomously without human oversight and is actively reskilling his workforce to ensure employees can effectively collaborate with AI tools. Krishna’s stance aligns with this sentiment, advocating for an approach where AI enhances the capabilities of human programmers rather than making them redundant.

Mass Layoffs and AI’s Growing Role in Workforce Reduction

While Krishna’s statements offer some reassurance, the reality of AI-driven job displacement is already playing out in the tech sector. Over the past year, numerous companies, including major technology firms, have laid off thousands of employees, citing AI-driven efficiencies as a key reason. IBM itself has paused hiring for back-office roles, acknowledging that AI can fully automate certain administrative tasks.

Tech giants such as Google, Microsoft, and Meta have all made deep cuts to their workforces, shifting investments toward AI initiatives that reduce reliance on human labor. AI-powered chatbots, automation software, and AI-assisted coding platforms like GitHub Copilot and OpenAI’s ChatGPT have already begun reshaping the nature of work in programming, customer service, and content creation.

However, Krishna insists that AI will not replace programmers in the foreseeable future, likening its impact to previous technological advancements that initially sparked fears of mass unemployment but ultimately boosted productivity and created new opportunities.

Historical Parallels: AI as a Productivity Tool, Not a Job Killer

Krishna draws comparisons between today’s AI fears and past concerns about calculators replacing mathematicians or Photoshop making artists obsolete. These tools, rather than eliminating professions, enhanced creativity and efficiency, enabling professionals to achieve better results in less time.

“It’s a tool,” Krishna emphasized. “If the quality that everybody produces becomes better using these tools, then even for the consumer, now you’re consuming better-quality products.”

While AI is undoubtedly transforming industries, Krishna believes that human expertise will remain irreplaceable in problem-solving, strategic decision-making, and innovation. Unlike AI, humans possess critical thinking, emotional intelligence, and the ability to generate truly original ideas, which remain essential in programming and beyond.

Another key area Krishna addressed was AI’s energy consumption and sustainability. He predicts that AI will become significantly more energy-efficient, citing advancements from DeepSeek, a Chinese AI startup. According to Krishna, within a few years, AI could consume less than one percent of the energy it currently requires, making it far more cost-effective and accessible for businesses worldwide.

However,  Krishna remains skeptical about its potential to drive groundbreaking scientific discoveries. Unlike OpenAI CEO Sam Altman, who believes that superintelligent AI could emerge in the near future and accelerate innovation, Krishna argues that AI merely processes existing knowledge rather than generating entirely new insights.

“AI is learning from already-produced knowledge, literature, graphics, and so on,” Krishna explained. “It is not trying to figure out what is going to come next.”

Instead, he believes that quantum computing—an area where IBM has invested heavily—will be the true catalyst for future scientific breakthroughs and technological advancements.

Balancing AI Adoption with Human Workforce Development

As AI continues to advance, the debate over its role in programming and the broader job market remains unresolved. While some companies view AI as a cost-cutting measure that justifies workforce reductions, others, like IBM, emphasize its role in enhancing human potential rather than replacing it.

Krishna’s remarks provide a counterpoint to widespread fears of job losses, suggesting that companies should focus on leveraging AI to drive productivity and innovation rather than using it solely as a means of cutting labor costs. However, with more firms adopting AI-driven automation, workers across industries may still need to adapt by upskilling and reskilling to remain relevant in an increasingly AI-powered world.