AI survey reveals scepticism towards Big Tech and demand for regulation
A recent survey conducted by CommsCo PR has shed light on the shifting attitudes of AI experts, marketers, and influencers toward artificial intelligence and major tech companies. The findings indicate a growing distrust of big tech firms and a strong demand for tighter regulations, alongside cautious expectations for AI’s potential impact over the next five years.
The survey, gathering insights from 100 technology professionals and enthusiasts, was held at the launch of AI author Andrew Burgess's new book, an event hosted by TechUK in collaboration with CommsCo PR, TechMarketView, and Espire Infolabs. The data revealed that 70% of respondents actively use large language models (LLMs) in both their personal and professional lives, underscoring the deep integration of AI into everyday routines. Additionally, 27% reported using LLMs solely in their professional roles, while just 3% engaged with them for personal purposes alone.
Despite AI's growing presence, opinions about its future impact are mixed. Nearly half (49%) of respondents believe it will take over five years to see substantial changes, while only 15% anticipate transformative effects within the next year. This cautious optimism suggests that, while AI is proving beneficial to businesses, its full transformative potential is yet to be realised.
When weighing the advantages and disadvantages of AI, 76% viewed it as a net positive, showing widespread confidence in its potential benefits. However, concerns about transparency and ethical practices were prevalent, with 79% expressing distrust toward big tech companies.
The demand for greater oversight was clear: 76% of participants called for stricter regulations to manage AI and technological advancements. This strong support for regulatory measures reflects a desire for ethical safeguards and accountability within the tech sector.
AI strategist and advisor, Andrew Burgess, commented on the findings: “The survey results paint a clear picture of the current landscape: while AI is embraced for its potential benefits, there is a palpable mistrust of big tech companies and a strong call for enhanced regulation. These insights should serve as a wake-up call for policymakers and industry leaders to address these concerns and foster a more transparent and accountable technological environment.
“My advice is that forward-thinking enterprises should be embracing AI, looking to exploit its benefits across their organisation, while cautiously considering and managing the potential ethical challenges,” Burgess continued.
