How The Wall Street Journal cut through the generative AI haze with NewtonX insights
Automation for Performance: Global overview and marketer’s guide to AI-powered advertising
Beyond the Deal: Why Brand Migration Makes or Breaks M&A
What changes when your buyer is always available?
The State of AI in B2B Research
NewtonX and Pretzl Launch the 2026 Buyer Group Index
Bain chose NewtonX to conduct the research behind a new metric for predicting B2B deal wins.
Supermetrics set out to measure marketing’s AI adoption gap. The data proved it’s deeper than anyone expected.
Ada set out to reframe the conversation around AI in customer service. The data made their case impossible to argue with.
NewtonX announces the first B2B Synthetic Personas solution, giving enterprise teams on-demand buyer insights built on identity-verified professional data
Most AI customer service deployments have a resolution problem. New research from Ada and NewtonX reveals why businesses can’t see it.
BILL partners with NewtonX to launch first comprehensive “AI Ambition” study for accounting firms
Get the download from Kaan Divitoglu, NewtonX Senior Manager, Client Partnerships:
It happened to Kodak, BlackBerry, and Skype. From being synonymous with their products — in Kodak’s case, for over a century — to a rapid descent into obsolescence.
Could this same fate be in the cards for ChatGPT?
While our NewtonX Prime Generative AI survey shows it’s unlikely in the short term, the future is less clear. And our respondents — 235 executives, analysts, and technology specialists — have ideas about who could steal ChatGPT’s crown.
The name that pops up more than any other is Google.
This should come as no surprise. Google was blazing the AI trail way before ChatGPT took the world by storm. The breadth of Google’s infrastructure also puts it in a much stronger position relative to other competitors.
“…if there is a solution that calls for scale, Google is the best placed to provide it,” argues Stratechery’s Ben Thompson. “[Google] not only has a massive fleet of TPUs [Tensor Processing Units], but has also been developing those TPUs to run in parallel at every level of the stack, from chip to cluster to even data centers.”
That said, Google’s “scale and an overwhelming infrastructure advantage” will only go so far.
Ultimately, the product will have to live up to expectations. And, according to our research, it’s still falling short. 59.3% of respondents see Bard, Google’s generative AI tool, as a follower, not a leader. Net promoter score is also negative: -5 compared to ChatGPT’s 48.
If history has taught us anything, it’s that a lot can change very quickly. But, as things stand, Google still has a lot of work to do to win over hearts and minds.
Share
While appetite for generative AI is on an upward trajectory, the practicalities of adoption are far less clear. That's why investing in custom B2B research could give you the edge over your competitors.
read moreWhen decision-makers are debating which generative AI tools to invest in, it's reliability that tips the scales. But is brand awareness coloring perceptions?
read moreSurveying professionals from Amazon, AMD and Nvidia to better understand the market for the next-gen computer chip.
read more