AI overtaking humans in the workplace, reveals Stanford University study

According to a new study from Stanford University, AI has outperformed human capabilities in several workplace tasks, despite ongoing concerns about AI displacing jobs.

The study indicated that AI has surpassed human performance in tasks such as image classification, basic reading comprehension, visual reasoning, and natural language inference. However, it falls short in more complex areas such as visual commonsense reasoning, advanced mathematics, and planning.

Additionally, the research observed an increase in staff performance when employees worked alongside AI, particularly in daily tasks like data analysis. Despite these benefits, the report cautioned against an "over-reliance" on AI, noting a decline in performance when workers become too complacent or overly trusting of AI-generated results.

The focus on AI in the workplace is evident among CEOs, with a survey from AND Digital showing that three-quarters of CEOs have initiated AI training bootcamps this year to keep abreast of AI developments and ensure their staff remain competitive. Meanwhile, nearly half of the CEOs expressed concerns that AI technology might jeopardize their roles in the future.

Sheila Flavell CBE, COO of FDM Group, said: "In our ever-evolving digital landscape, AI is dominating how businesses operate in terms of efficiency and growth. Businesses must continue to upskill and train their staff in AI so they can experience the benefits of these resources and thrive at the same level as high skilled workers.

“AI offers workers and organisations an opportunity to boost productivity and efficiency at a rate we haven't seen before, and this is something that needs to be harnessed, fuelled by AI skills training, so the workforce is equipped to master rapidly evolving technologies."

The United States topped the list as the leading source of top AI models, followed by China, the EU and the UK, with 61 high-profile AI models originating from US-based institutions during 2023.

The UK, in particular, has been prioritising investment in AI research and development in an attempt to position itself as a global leader in AI, fuelled by the Chancellor’s lofty policy ambitions. However, due to growing fears around AI from regulators and the UK’s competition watchdog, Prime Minister Rishi Sunak is currently considering introducing AI regulation to slow down its development and mitigate growing risks.

Scott Lewis, SVP, Ataccama, said: "The most successful companies in the future will be those which take full advantage of AI tools, using them to automate necessary yet repetitive manual work, such as data cleansing and transformation to produce the good quality, governed data that is critical for trustworthy AI outcomes, and reallocating employees to more valuable, meaningful work.

“Having already made such a strong commitment to AI investment and innovation, it’s important that the UK takes a balanced, measured approach to regulating AI's potential risks without stifling its clear benefits if it wants to achieve its vision to become a global AI leader.”