#ai-adoption

#ai-adoption

Employees who take the initiative to reshape their roles around artificial intelligence - rather than simply using it to speed through tasks - are more engaged, motivated, and creative at work, according to new research from Multiverse, the upskilling platform for AI and tech adoption. The study, conducted in June and July, analyzed 295 UK full-time professionals across industries, including finance, government, and technology, all of whom had used generative AI for at least six months.

Shares of Salesforce Inc. (NYSE: CRM) lost 10.69% over the past month after gaining 4.89% the month prior. On the year, the stock is down 31.00%, and over the past year, CRM is down 33.52%. Amid that slump, the company's market cap has shrunk to $210.43 billion, with 1,546 institutional owners having decreased their positions compared to 1,404 increasing their positions. Still, the company has more than 81% institutional ownership and analysts' outlooks for the stock are encouraging.

Europe stands at a pivotal moment. On one hand, demographic pressures, energy market volatility and sluggish productivity are squeezing growth. On the other hand, the continent has an opportunity to reassert its competitiveness with the United States and China, which are taking the lead in strategic technologies such as AI. This matters because AI is arguably the most transformative technology for productivity in history.

Google's Gemini and OpenAI's ChatGPT were the two fastest-growing brands this year among consumers earning more than $100,000 a year, according to Morning Consult. The report measured interest in these tools by purchasing intent, which jumped sharply from the first quarter to the third quarter. Don't Miss: Brand awareness among this income group also skyrocketed. Gemini, for example, rose from 62% awareness early in the year to 78% by the third quarter. ChatGPT remains the most well-known AI tool, with 89% familiarity among high-income consumers.

The AI gold rush these days is littered with abandoned enterprise projects, with humans - not the technology itself - being blamed for high failure rates of AI projects. Recent data indicates that stagnant AI projects were often the result of poor vision, mismanagement, and a lack of resources. Eagerness from the top to become "AI-first" companies is also putting pressure on C-suite execs and other IT decision-makers who might not have the budgets, systems, or tools for success.

Throughout the past few years, I've observed that many people in the marketing world have moved past their initial worries about AI. A common theme I'm hearing these days? It isn't that AI will take over, but rather that we're moving toward incorporation. I see AI as a fast, intuitive tool. But as marketers, how should we use it?

AI is moving from promise to measurable payoff across corporate America. According to new data from Morgan Stanley, the share of S&P 500 companies citing quantifiable benefits from AI adoption has steadily climbed, reaching 15% in the third quarter, up from 11% a year earlier. Among firms that the analysts classify as "AI adopters," nearly one in four now report tangible performance improvements.

The financial services company, in a note to investors this week, said that it believes the AI story is just getting started - and the investments that seem huge today will be dwarfed by the benefits AI will deliver. Long term, the investment bank says that AI adoption could add $20 trillion to the U.S. economy. AI, according to Goldman Sachs, is already delivering those gains in productivity when deployed right.

The use of conversational AI for customer service and sales is rapidly increasing, according to a new report from Twilio, which found 63% of organizations in either the final or complete stages of development, and 85% of consumers reporting interactions with an AI agent within the past three months. The report, "Inside the Conversational AI Revolution" (no registration required), also found that 99% of organizations anticipate their conversational AI strategy will change in the next 12 months.

In the company's annual Cloud Readiness Report 70% of CEOs admit they built their current cloud environment "by accident, rather than by design" - this often entailed periodic upgrades aimed at addressing short-term needs, rather than focusing on longer term strategic improvements. Kyndryl said this shows that many lacked a "deliberate strategy" when pursuing cloud transformation projects, and the effects of this are starting to show with huge workload pressure placed on cloud environments, as well as growing security threats and evolving regulatory requirements.

Honestly, it just could not be more different from all the playbooks that we've all been taught in tech in the past,

The guidelines advocate using existing legal frameworks like the Information Technology Act and the Digital Personal Data Protection Act to handle emerging risks such as deepfakes and unauthorized data use. "India's AI governance adopts a balanced, agile and flexible approach that promotes innovation and safety," Amal Mohanty, AI policy expert and one of the lead authors of the guidelines, told DW. He said India's approach is different to the rules charted by the EU, China and the US. "Unlike the EU's detailed AI Act that imposes strict, rule-based obligations based on risk classification, ours favors self-regulation and voluntary measures," he said. "This allows developers more freedom to innovate while managing AI risks responsibly."

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren't seeing the results they were hoping for. According to MIT's State of AI in Business 2025 report, 95% of enterprise AI initiatives are failing to deliver measurable P&L impact, and only 5% of pilots make it into production with real value creation.

At Addi, we've been able to leverage AI to grow 4x faster while operating at ~2x the profitability of BNPL peers. This year alone, we've saved more than $500,000 from our AI initiatives. But how have we accomplished such strong AI ROI? The difference between performative AI and AI with returns isn't in which model or tool you're using; it's how your team is using them.

Some industries are correcting after the hiring boom of the pandemic, but this comes as AI [artificial intelligence] adoption, softening consumer and corporate spending, and rising costs drive belt-tightening and hiring freezes,

Nikul is a significant hire who will be a transformational member of our leadership team, said loanDepot's founder and CEO, Anthony Hsieh. Not only does he bring an impressive track record of success from his years at LendingTree, but he also has a unique mix of fintech and public company experience that will serve us well. Hsieh continued, As we pursue what I believe is the biggest market opportunity I have ever seen,

For Andrew Wang, a 33-year-old software engineer, AI has become a part of his daily routine - but it's come at the cost of some of the casual conversations he used to have with colleagues. Wang said the growing reliance on large language models has, at times, made teams feel more "siloed." In the past, coworkers would regularly hash out ideas and design options in impromptu conversations, he said. Now, much of that back-and-forth happens with AI instead - leaving formal meetings for design or code reviews.

Karishma Mandal wanted to land an AI role at a big-name company, so she designed a job search strategy she hoped would help her stand out. Throughout her search, she'd grown confident in the merits of twotactics: being among the first to apply for roles and submitting applications directly through company websites, not job boards. "You have to be early, you have to go through the direct website, and you have to get a referral if you can," said the 29-year-old.

Artificial Intelligence (AI) is reshaping higher education at an extraordinary pace. From personalized learning assistants to analytics dashboards, colleges are investing in AI faster than ever before. Yet one truth remains constant: no amount of technology will transform learning without human readiness. Faculty members are the heartbeat of any innovation. Their willingness to explore, experiment, and evolve determines whether AI becomes an empowering co-educator or an underused novelty. Building faculty readiness, therefore, isn't a side project; it's the foundation of sustainable AI integration.