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The Transformative Potential Of AI: Could It Shape The Global Economy By 2035?

AI: A Game Changer for the Global Economy by 2035

Artificial Intelligence (AI) is poised to revolutionize the world economy. According to PwC Cyprus, AI could enhance the global gross domestic product (GDP) by as much as 15% by 2035. Cyprus’s AI Taskforce is already envisioning a future deeply integrated with these technologies.

Path to Economic Growth

PwC’s report, Value in Motion, suggests AI might contribute a 1% annual growth, mimicking the industrial revolution’s impact. However, this growth isn’t predestined. It hinges on technological success, responsible AI implementation, governance, and public trust.

Under scenarios of lower trust, projected growth might only reach 8%, or even drop to a mere 1%. Therefore, widespread collaboration is essential.

Industry Transformation and Climate Considerations

Industries are already realigning. PwC forecasts a shift of $7.1 trillion in revenues among companies by 2025, without even considering tariff impacts. For instance, the healthcare sector in Cyprus might benefit as cross-sector collaborations redefine market landscapes.

Climate change, however, poses a counterbalance. It could contract the global economy by nearly 7% in 2035. Yet, modest improvements in AI’s energy efficiency could negate this impact. A 1% boost in AI adoption need only spark a 0.1% drop in energy use to stay climate-neutral.

PwC’s Strategy for the Future

PwC plans to ride this AI wave through initiatives like launching agent OS, which streamlines AI agent workflows by up to tenfold. Training and expanding partnerships with tech giants such as AWS and Microsoft further bolster their AI endeavors.

Their Network AI Academy now trains over 291,000 individuals. By incorporating tools like ChatPwC and updating their Industry Edge portfolio, PwC is prepared for the AI-driven future.

As Mohamed Kande, PwC’s Global Chairman, states, “Transformative growth will come from tapping into evolving needs and reshaping business operations through technology.” PwC’s newest brand identity echoes this commitment, embodying progress through its redesigned logo and visual style.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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