What Generative AI Hopefuls Can Learn from Cloud Computing Trial and Error

Both cases hinged on the fair use legal doctrine, particularly the fourth factor in such defenses — potential market harms. Chhabria told Boies, «you lose if you can’t show that the market for the copyrighted works that are being used to train the models are dramatically impacted.» Chhabria seemed to foreshadow his eventual ruling when he questioned plaintiff counsel David Boies about evidence of market harms. In discussing market harms during oral arguments, Chhabria brought up a hypothetical — future Taylor Swifts. WPP has lost key clients during its recent slump, including Pfizer and Coca-Cola’s North America account. The company has undergone waves of restructuring in a bid to become more competitive — like the recent merging of its media agency brands to become WPP Media — but the changes and resulting layoffs have «come with some distraction to the business,» Read said on Wednesday.

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AI TPMs can be the catalyst in this transformation, standardizing infrastructure, managing risks and fostering a culture of continuous improvement and collaboration. «Meta has defeated the plaintiffs’ half-hearted argument that its copying causes or threatens significant market harm,» said Chhabria. «That conclusion may be in significant tension with reality, but it’s dictated by the choice the plaintiffs made… while failing to present meaningful evidence on the effect of training LLMs like Llama with their books on the market for AI-generated books.» Just a day earlier, a judge in a similar AI copyright case ruled in favor of another AI company, Anthropic.

Robots & Us: The Future of Work in the Age of AI

Niladri Ray is the Country Head, India and VP-Engineering for Flexera, with his roster of responsibilities spanning across Global AI/ ML, Data Intelligence, FinOps, SAAS, Sustainability and Security Vulnerability Management in Hybrid IT contexts. With 27+ years of experience, he has specialised experience in both FinTech and DeepTech areas, scaling these around multiple business domains & technology contexts. He is also a NASSCOM DeepTech Mentor and an Angel Investor/ Board Member for several Global Tech Startups.

Episode 1 – AI: The Time to Act is Now

«But why that is not necessarily the worst thing in the world, is that it’s so cabined to the specifics of this case and the failure to develop a record and raise certain issues,» Madigan continued. But while courts deliberate, generative AI is already making a big impact on creative industries. Elsewhere, the rivals Omnicom and IPG are due to merge to create the world’s largest advertising group — two seismic industry moves that have resulted in WPP dropping down the pecking order.

These parallels will continue to surface as GenAI moves from experimentation to widespread enterprise integration, requiring the same robust cybersecurity frameworks, incident response plans, and governance structures found within the cloud. AI is evolving at an unprecedented pace, yet most organizations struggle to turn research breakthroughs into scalable, production-ready systems. While AI-driven features can deliver quick wins, foundational AI investments such as generative AI, core AI infrastructure and enterprise-scale machine learning (ML) models demand years of sustained effort, disciplined execution and cross-functional collaboration. GenAI is set to remain a powerful force, with 70% of CEOs reporting that they expect the technology to impact their business models over the next three years. Clearly GenAI’s transformative potential is proving valuable to executive decision makers, but sustainable, large-scale impact still depends on addressing trust, governance, and integration barriers. «Achieving the AWS Generative AI Competency underscores the strength of our AI-powered agentic automation system and validates the real-world impact we’re delivering to enterprise customers,» said Adi Kuruganti, Chief Product Officer of Automation Anywhere.

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• Not only did Meta pirate unlicensed copies of the authors’ works, but internal Meta messages revealed during discovery showed that the company’s own employees expressed legal and ethical doubts about pirating those works.
• With 27+ years of experience, he has specialised experience in both FinTech and DeepTech areas, scaling these around multiple business domains & technology contexts.
• Already, 72% of organizations report currently using GenAI either extensively or sparingly and another 26% are experimenting with the technology.
• The future of AI is not just about breakthroughs, but about the execution, adaptability and leadership that transform potential into lasting impact.
• From factory floors to customer support, supply chains to boardrooms, AI is reimagining how enterprises operate and compete.But for CIOs, embracing AI is not just about adopting the latest tools.

Chhabria even postulated that «it will be illegal to copy copyright-protected works to train generative AI models without permission.» By applying cloud-era lessons with discipline and foresight, organizations can avoid costly missteps and unlock GenAI’s full potential – securely, sustainably, and at scale. Generative AI (GenAI) is here to stay, with organizations worldwide relishing the technologies’ capabilities. Already, 72% of organizations report currently using GenAI either extensively or sparingly and another 26% are experimenting with the technology. The independent media analyst Alex DeGroote told BI that the sharp decline in new business pitches could be a sign of corporate clients replacing some agency services with AI solutions they could use in-house.

• It’s critical that companies begin with only a few clearly defined, high impact use cases with clear ROI goals mapped back to real business needs.
• These are not just challenges to overcome — they are choices that will determine which enterprises thrive in the AI era and which falter.
• When hype outpaces reality, hidden patterns behind GenAI project failures – like unprepared data, unclear business ownership, or unnecessary complexity often go unnoticed in the rush to adopt new technology.
• Foundational AI investments demand more than technological breakthroughs—they require disciplined, long-term execution.

Read said this reflected a lower level of marketer confidence, given the prolonged macroeconomic uncertainty. He added that the latest business opportunities tended to be smaller than usual. While some of WPP’s woes are specific to the company, analysts and other industry insiders told Business Insider the ad group faces challenges that apply to the broader ad agency market. Evaluate and adopt open-source and commercial platforms that accelerate time-to-market and mitigate vendor lock-in risks. For these cases, «where they’ve all shown evidence of infringing output, Kadrey v. Meta has absolutely no bearing,» said Madigan. With cases that focus on output, «you don’t have to get into sort of these more abstract doctrinal discussions about transformative use and whether training is transformative in purpose. You just have to show side-by-side verbatim copies,» he continued.

Leaders who actively watch for these warning signs, rather than shortcutting the process, set their teams up for long-term success. A growing number of organizations trying to improve their cost management strategy are turning to FinOps as a solution. Leveraging timely, data-driven insights to help improve forecasting and encourage cross-functional accountability and collaboration, a comprehensive FinOps infrastructure has proven invaluable for curbing overspending and maximizing business value.

In an amicus brief in support of the plaintiffs, the American Association of Publishers argued that this case was much simpler than it seemed. From there, establishing strong checks and balances, ongoing monitoring, and clearly defined governance policies is the next critical step for responsible use and compliance. Engaging with external experts can be a great first step in navigating today’s complex and ever evolving regulatory landscape. By investing in the right tools and infrastructure early in the GenAI implementation process, along with continuous training, organizations can set the foundation for sustainable success. According to McKinsey, only 1% of company executives describe their GenAI rollouts as “mature,” meaning the technology is fully integrated into workflows and drives substantial business outcomes.

FinOps principles are not limited to cloud cost management alone, offering a viable option for GenAI spending as well. By championing strategic decision making and scalable execution models, AI TPMs enable organizations to bridge the gap between research and real-world impact. The future of AI is not just about breakthroughs, but about the execution, adaptability and leadership that transform potential into lasting impact.

«WPP has the most advanced strategy of any holding company, but clients and investors aren’t waiting for them to finish their transformation,» O’Kelley said. Last month, Barclays analysts downgraded the stocks of WPP, IPG, and Omnicom, citing the immediate risks to the agency business posed by artificial intelligence. On Wednesday’s trading update, Mark Read, WPP’s outgoing chief executive, quoted data from the research company COMvergence stating new business pitches so far in 2025 were at a third of the level they were at during the same period last year.