#AI adoption

#AI adoption

With many AI projects failing, there's no one-size-fits-all formula for advancing AI proofs of concept to real-world use in the corporate world. But two companies, Ernst & Young (EY) and Lumen, have had success - though they've tackled the issue in dramatically different ways. EY, being in a regulated space of finance and tax, has embraced what it sees as a measured and responsible approach while managing the risks that come with rolling out new technology. Lumen has been more aggressive, working to create an AI culture at the company by giving all employees AI tools from day one.

Shares of Amazon ( NASDAQ:AMZN) are up 0.5% this week, but retail investor sentiment tells a darker story. The company's social sentiment score dropped to negative 0.15 on Reddit and X over the past week, a sharp reversal from its neutral-bullish 0.12 average over the prior quarter. Among select tech peers, Amazon stands alone in sustained bearish sentiment while companies like NVIDIA ( NASDAQ:NVDA), Alphabet ( NASDAQ:GOOGL), Meta Platforms ( NASDAQ:META), and Apple ( NASDAQ:AAPL) enjoy bullish or neutral enthusiasm from the retail crowd.

Results of the survey, conducted in April, have been compiled into GitLab's 2024 Global DevSecOps Report, which was announced June 25. Among the findings, 78% of respondents said they are currently using AI in software development or plan to in the next two years, an increase from 64% of respondents who said they were using or planning to use AI in development last year.

Running through the AI poster child's achievements over the last couple of years, Friar said that the business's compute grew 9.5x from 2023 to 2025 from 0.2 GW to around 1.9 GW. Meanwhile, "revenue followed the same curve" by growing 10x in the same period from $2 billion to more than $20 billion in 2025. "We firmly believe that more compute in these periods would have led to faster customer adoption and monetization," she said.

Hiring in 2026 won't look much like hiring even two years ago. If you don't pay attention, you will get left behind. I was a retained search consultant for 25-plus years. I've written executive and board résumés for the last 10 years. I've never seen so much change in candidate sourcing happen so quickly. CEO priorities and expectations have shifted. AI is reshaping how candidates get surfaced. Résumé sameness has skyrocketed. Candidate shortlist cycles have accelerated.

In the fall, roughly three years after generative artificial intelligence tools went mainstream and some higher education institutions began partnering with tech companies, researchers surveyed 1,960 staff, administrators and faculty across more than 1,800 public and private institutions about AI's relationship to their work. Ninety-two percent of respondents said their institution has a work-related AI strategy-which includes piloting AI tools, evaluating both opportunities and risks and encouraging use of AI tools. And while the vast majority of respondents (89 percent) said they aren't required to use AI tools for work, 86 percent said they want to or will continue to use AI tools in the future.

Three years after the launch of ChatGPT, value from AI investments has been slow to emerge and worries that we're in an AI bubble are growing. Yet according to responses to this year's annual AI & Data Leadership Executive Benchmark Survey, companies are undaunted. Virtually every data and AI leader participating in this year's survey believes that AI is a high priority for their organization, has plans to spend more on it, and confirms that their company is getting measurable business value from their AI investments.