How the AI revolution develops is one of our greatest challenges

By Colin Bryce, Managing Director of Cobry, a UK-based digital transformation company and Google Cloud partner.

The rise of Artificial Intelligence (AI) is no longer a distant possibility; it is already reshaping industries and economies across the globe.

AI, particularly large language models like ChatGPT and its more advanced counterparts, is transforming the way businesses operate, disrupting traditional roles, and paving the way for a future where the adoption of AI technologies may lead to a hierarchy of businesses, exacerbating the gap between those that harness AI's power and those that do not. While this technology brings remarkable opportunities, it also poses significant challenges for society and the workforce.

The emergence of artificial intelligence (AI) represents a pivotal moment in the pantheon of technological developments that have shaped human history. Comparisons with groundbreaking innovations like the printing press, electricity, cars, trains, and the internet are not unwarranted. AI possesses the potential to revolutionise our world in ways that were previously unimaginable, and some experts argue that its impact could surpass all of these past transformations.

When the printing press was introduced in the 15th century, it democratised knowledge dissemination and led to a cultural renaissance. The advent of electricity in the late 19th century revolutionised how we powered our lives, enabling a plethora of technological advancements that transformed every aspect of society.

Cars and trains replacing horses and carriages revolutionised transportation and changed the urban landscape, leading to new industries and opportunities, while rendering certain traditional professions obsolete.

The computer and the internet, which emerged in the latter half of the 20th century, created an interconnected global network that transformed communication, commerce, and information access. These innovations had significant implications for various industries and the jobs market, prompting a shift in the workforce towards digital and knowledge-based professions.

AI, with its ability to mimic human intelligence, has the potential to revolutionise industries on an unprecedented scale. From autonomous vehicles and smart cities to personalised healthcare and advanced automation in manufacturing, AI is already reshaping numerous sectors. It holds the promise of unlocking solutions to complex challenges in areas such as climate change, disease diagnosis, and space exploration.

However, the disruptive potential of AI also raises concerns about its impact on the jobs market and the workforce. While past technological advancements displaced certain industries, they also created new opportunities and industries that absorbed the workforce. The concern with AI is that it might lead to widespread job displacement without a proportionate creation of new careers.

The fear of not having a clear ‘pivot’ to new industries and employment is valid. AI-driven automation threatens to replace human labour in various routine and repetitive tasks across multiple sectors. Unlike the industrial revolution, where physical labour was replaced but still required human oversight and skill, AI has the potential to automate cognitive tasks and decision-making processes as well.

Big tech companies, like Google, Amazon, and Microsoft, are at the forefront of AI development, investing billions to lead the way in new technologies. As these companies continue to refine and market their AI solutions, they may face the challenge of differentiating their offerings to attract customers willing to pay for their services.

Google's emphasis on ethics in AI deployment serves as an example of how companies can attempt to mitigate the potential negative consequences of AI. However, scepticism may persist, questioning whether such efforts are truly altruistic or merely a means of maintaining corporate interests.

As AI continues to advance, policymakers, businesses, and society as a whole must proactively prepare for its impact.

AI is not just impacting low-skilled positions; it is gradually affecting highly paid roles as well. The capabilities of large language models, such as ChatGPT, extend beyond simple language generation. They can be integrated into various business tools, like Google Workspace's Duet AI and Microsoft's Copilot, to enhance productivity and decision-making. For instance, AI can redraft emails with specific tones, generate documents based on given prompts, or provide suggested replies to complex conversations.

As AI technologies continue to improve, businesses across all sectors are likely to experience varying degrees of disruption. Industries, such as education and consultancy, which rely heavily on human interactions and complex decision-making, may be more resistant to AI-driven disruptions compared with others. However, no industry is completely immune to the impact of AI.

As AI technologies become more accessible, businesses that embrace these tools with enthusiasm are likely to experience exponential growth and success. This may result in a notable divide between AI-boosted businesses and those that are slow to adopt the technology. The early adopters may accelerate ahead of their competitors, leading to a hierarchical structure in the business landscape.

For instance, large corporations with substantial resources may have the means to invest heavily in AI integration, allowing them to enhance efficiency, productivity, and customer experiences. In contrast, smaller businesses with limited scale and resources may struggle to keep up, risking being left behind in the race for market dominance.

While AI-powered tools can exponentially increase output, there is a concern about the potential decline in content quality. The ease of generating large volumes of content might lead to a flood of generic, unremarkable, and impersonal materials, referred to as "landfill content." This could diminish the value of genuine human interaction and authentic, empathetic content, leading to a demand for more personalized and relatable human-generated content.

Furthermore, the growing reliance on AI-generated content might pose ethical questions, as consumers may find it challenging to distinguish between content created by humans and content created by machines. This calls for a careful balance between the quantity and quality of content to ensure that AI complements human creativity rather than replacing it entirely.

We at a pivotal moment in history, set on a path towards previously unimagined technological and social advancement. The challenge for this generation is to ensure that we use this new technology to its greatest benefit.

By David de Santiago, Group AI & Digital Services Director at OCS.
By Krishna Sai, Senior VP of Technology and Engineering.
By Danny Lopez, CEO of Glasswall.
By Oz Olivo, VP, Product Management at Inrupt.
By Jason Beckett, Head of Technical Sales, Hitachi Vantara.
By Thomas Kiessling, CTO Siemens Smart Infrastructure & Gerhard Kress, SVP Xcelerator Portfolio...
By Dael Williamson, Chief Technology Officer EMEA at Databricks.