#ai-adoption

#ai-adoption

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.

Eighty-six percent of Gen Z professionals now use AI daily at work, according to a new report by TrustRadius. It reveals a sharp uptick in AI adoption, a shift in how B2B professionals conduct product research and new content demands for marketers trying to remain visible in a generative AI-first environment. AI tools are no longer emerging technology - they're daily utilities.

Findings from the company's 2025 State of Developer Ecosystem report show 85% of developers globally regularly use AI for activities such as coding. Similarly, nearly two-thirds (62%) use at least one AI coding assistant, agent, or code editor in their daily workflow. Yet drilling down into regional and national perception of the technology, it appears many UK developers aren't fully sold. More than a quarter (27%), for example, said they're still "uncertain" about the use of AI.

Moving forward, we remain focused on our mission to help product teams launch delightful products," Roy wrote in a memo posted by an employee to Amazon's internal Slack. "In support of this mission, I encourage you all to: Focus on the work that most directly impacts our customers, lean in on Al to enhance your effectiveness, [and] raise your hand when you see opportunities to simplify or eliminate unnecessary processes.

It is also indicative of a strategic pivot of Nationwide's AI Playbook. Four months ago, Fowler says the company's leadership met and wasn't pleased to see dozens of AI use cases had proliferated across the organization. While workers were getting more efficient, it wasn't always clear how they should use their extra time. Ten of Nationwide's C-suite leaders worked collaboratively to identify 18 flagship AI use cases to prioritize across the business.

Artificial intelligence is spreading faster than any technology in history - but billions of people are being left behind. That's the conclusion of Microsoft's new "AI Diffusion Report," which maps how AI use, infrastructure, and innovation are spreading globally. The company said that more than 1.2 billion people now use AI tools, a rate of adoption that it said has outpaced electricity, computers, and the internet. Yet this rapid diffusion is uneven.

Many infrastructure and operations leaders aren't able to dig out enough money from budgets to reallocate to AI projects, Gartner said in a survey released this week. The research firm surveyed 253 IT leaders globally, and the budget issue plagued half the participants. As a result, 54% said they are focusing on AI projects with attainable results and foreseeable cost savings, Gartner said.

From tracking player movement with eerie precision to whispering tactical tweaks into analysts' ears, artificial intelligence is now as common at training grounds as bibs and banter. Clubs crunch mountains of data to predict fatigue, refine pressing triggers, even scout teenagers before they've finished growing. VAR, of course, remains the clumsy cousin still learning when clear and obvious' actually means clear and obvious. But love it or loathe it, AI isn't leaving the pitch anytime soon.

The growing use of AI in the workplace has been revealing one paradox after another. Use of the technology among individual workers is higher than ever, yet most businesses aren't reporting organization-wide gains; AI use in the customer service sector grows, but customers show they prefer speaking with humans; and businesses are racing to embed AI in their day-to-day operations, despite the fact that many of them don't trust the technology.

Task crafting involves taking proactive steps to alter the scope, number, or type of tasks that make up an individual worker's role. Simply put, this involves using AI tools to reduce manual toil and free them up to focus on more important tasks. The more task crafting a worker carries out, the greater the link between AI adoption and efficiency gains at both the individual and organizational level.

We quickly identified the transformative impact that AI could deliver across our organisation, and over the last few years have put in place the assurance frameworks and tools we need to deploy AI safely and at scale. "With these foundations in place, we're reimagining how we operate by embedding AI across our business to drive smarter decisions, faster outcomes and better experiences.

Artificial intelligence (AI) is reshaping industries at an unprecedented pace, automating routine tasks, analyzing vast datasets, and enabling new forms of creativity that were once unimaginable. In workplaces, AI tools like chatbots and predictive analytics are streamlining workflows, allowing employees to focus on higher-value activities. Daily interactions have evolved too, with voice assistants handling everything from navigation to personalized recommendations, making life more efficient.

Since we started embracing the "production acceleration stage" in the company, we see product design with fresh perspectives. Fully immersed in AI dynamics Like almost all technology companies today, we are influenced and affected by AI at our core. Part of this technology adoption has brought new company challenges (ways of work, roles, technical knowledge, etc). Still, it has also led to many positive developments and ideas, allowing us to transform old problems into new opportunities.