
Protesters gathered outside the offices of Google Deepmind, organized by groups concerned about controlling advanced Artificial Intelligence systems, in London on February 28, 2026. (Photo by JUSTIN TALLIS / AFP via Getty Images)
The landscape of artificial intelligence is at a curious inflection point. While college graduates have been observed jeering at mentions of AI during commencement speeches, and influential figures from Pope Leo to tech giant Anthropic have issued stern warnings about the perils of unchecked AI development, public sentiment has undeniably shifted from initial euphoria to a more sober assessment. This growing unease, however, belies a striking reality: global AI usage is surging to unprecedented heights.
Recent estimates from market intelligence firm Sensor Tower reveal that OpenAI’s ChatGPT has breached the one billion monthly active user (MAU) mark as of May. This monumental achievement, reached approximately 3.5 years after its November 2022 launch, solidifies ChatGPT’s status as the fastest app in history to hit this milestone, outpacing even Google Maps, which took around five years. Other prominent AI applications, including Anthropic’s Claude, have also witnessed significant year-over-year user growth, with triple-digit percentage gains reported by Sensor Tower.
OpenAI itself noted in February that ChatGPT was attracting over 900 million weekly active users across web and mobile platforms, asserting a commanding lead with more than six times the monthly web visits and mobile sessions of its nearest AI competitor. While ChatGPT continues to lead in raw user numbers, the competitive field is rapidly gaining ground. Sensor Tower data indicates that while ChatGPT saw a 62% increase in monthly users, its rivals are demonstrating more aggressive growth trajectories. Specifically, Claude and Meta AI have experienced remarkable year-on-year user increases of 640% and 973%, respectively. This rapid ascent of competitors is attributed not only to tangible improvements in their underlying models but also to a more favorable market sentiment, according to Abe Yousef, a senior insights analyst at Sensor Tower. He points to instances where public apprehension has paradoxically fueled user engagement.
One such instance involved OpenAI’s February agreement with the U.S. Department of Defense to deploy its models on classified Pentagon networks. Following this announcement, Sensor Tower data showed a significant spike in ChatGPT uninstalls, surging approximately 295% day-on-day on February 28, the day after the deal was disclosed. Conversely, Anthropic benefited from this sentiment shift. Claude surged to the top spot on the App Store that same weekend, surpassing ChatGPT in U.S. downloads for the first time, particularly after Anthropic publicly distanced itself from involvement in Pentagon operations.
The burgeoning AI sector is now poised for further significant developments, with both Anthropic and OpenAI initiating proceedings for highly anticipated public listings. OpenAI confidentially filed its IPO paperwork on Monday afternoon, following closely on the heels of Anthropic, which submitted its IPO prospectus to the U.S. Securities and Exchange Commission a week prior. This dual IPO push underscores the immense investor confidence and the immense market potential being projected for the AI industry.
Sentiment vs. Utility: The Driving Forces of AI Adoption
While ethical considerations and public sentiment, as exemplified by Anthropic’s stance on defense contracts, have demonstrably influenced user behavior in specific contexts, industry analysts suggest that the broader trajectory of AI adoption is far more resilient to fleeting public opinion.
“The strong trajectory of AI adoption shows no sign of slowing,” asserts Hanno Stegmann, managing director and partner at Boston Consulting Group’s AI and technology team, BCG X. His assessment comes at a time when unease surrounding AI’s rapid advancement is palpable. Anthropic’s recent call for a global pause in AI development, warning of potential runaway scenarios if systems become capable of self-improvement, highlights a critical concern for the industry. The company emphasized that the methods for securing, monitoring, and shaping the behavior of such advanced systems become paramount as their capabilities grow.
These anxieties echo sentiments previously voiced by Pope Leo, who in a May 25 letter, cautioned against widening inequality and public safety risks stemming from the insatiable global demand for AI. Similar concerns were voiced during recent U.S. college commencement ceremonies, where graduates expressed anxieties about AI’s potential to displace early-career roles and other ethical and environmental ramifications. A CNBC survey conducted in May further corroborated this by revealing that a significant portion of workers have consciously avoided using AI due to moral, environmental, or privacy concerns.
Stegmann acknowledges the validity of these concerns, stating, “I understand why a generation entering the workforce and into this much change feels uncertain. That is a rational response to a genuine transition.” He notes that ambiguity surrounding future outcomes often contributes to negative sentiment. However, he posits that as AI increasingly permeates daily life, any downturn in public sentiment is unlikely to significantly impede its overall user adoption. This is supported by a recent BCG poll of approximately 12,000 frontline workers, released on June 3, which found that 74% regularly use AI—a substantial 23 percentage point increase year-on-year. More than 40% of these regular users reported saving the equivalent of a full workday each week. Furthermore, the United Nations projects that the AI market could exceed $4.8 trillion by 2033, signaling robust economic growth. “While negative sentiment towards AI… is undeniably growing, consumers are increasingly using and relying on these platforms,” concludes Sensor Tower’s Yousef, underscoring the persistent, utility-driven adoption of AI technologies.
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