President Trump speaks to reporters outside the White House on July 15, 2025, in Washington, as Press Secretary Karoline Leavitt watches in reverence.. Manuel Balce Ceneta/AP This story was originally published by WIRED and is reproduced here as part of the Climate Desk collaboration. AI is "not my thing," President Donald Trump admitted during a speech in Pittsburgh on Tuesday. However, the president said during his remarks at the Energy and Innovation Summit, his advisers had told him just how important energy was to the future of AI. "You need double the electric of what we have right now, and maybe even more than that," Trump said, recalling a conversation with "David"--most likely White House AI czar David Sacks, a panelist at the summit. "I said, what, are you kidding? That's double the electric that we have. Take everything we have and double it."

AI is "not my thing," President Donald Trump admitted during a speech in Pittsburgh on Tuesday. However, the president said during his remarks at the Energy and Innovation Summit, his advisors had told him just how important energy was to the future of AI. "You need double the electric of what we have right now, and maybe even more than that," Trump said, recalling a conversation with "David"--most likely White House AI czar David Sacks, a panelist at the summit. "I said, what, are you kidding? That's double the electric that we have. Take everything we have and double it."

This story was originally published on the author's substack, Field Notes with Alexander C Kaufman, to which you can subscribe here. Artificial intelligence is driving up demand for electricity--the only question is how much, and what provides the power. Over the next three years, the Lawrence Berkeley National Laboratory estimates, AI's thirst for power will double or triple. Last month, OpenAI unveiled its Stargate Project, a plan to invest 500 billion in the infrastructure for artificial intelligence over the next four years that includes adding 25 gigawatts of new electricity capacity. Right now, the most likely source of electricity to power those data centers is gas.

The pandemic caught many companies unprepared and gave them new pressure to increase their efforts to serve customers and employees through digital acceleration. Future fit organizations responded with utmost creativity by pivoting quickly to new business models while supporting existing customers. They optimized and automated processes and reorganized their workforce to adapt to the new context. And they quickly adopted new technologies that helped them become more resilient. Will all of the urgency brought about by the pandemic just disappear?

The pandemic caught many companies unprepared and gave them new pressure to increase their efforts to serve customers and employees through digital acceleration. Future fit organizations responded with utmost creativity by pivoting quickly to new business models while supporting existing customers. They optimized and automated processes and reorganized their workforce to adapt to the new context. And they quickly adopted new technologies that helped them become more resilient. Will all of the urgency brought about by the pandemic just disappear?

ERP systems need to lose their cumbersome heritage and open up to third-party applications, in order to help businesses benefit from technological innovations more quickly. Artificial intelligence (AI) will have a significant impact on companies and their business models over the next five years--85 percent of CEOs surveyed in PwC's 22nd Annual Global CEO Survey are convinced of this. But with only 33 percent having dipped their toe into AI for'limited uses', and fewer than one in ten using it on a wide scale, the range of applications has been limited so far. However, this is soon set to change. Despite the use of AI being a distant dream for many businesses, the current maturity of intelligent technologies and the expectations of enterprise resource planning (ERP) systems in particular--to support innovations--have fundamentally changed business demands.

Preparing for the adoption of new technologies is challenging for many large enterprise organisations. That's why savvy CIOs and CTOs seek information and guidance from vendors that can assist them on the journey to achieve digital business transformation. Meanwhile, investment in artificial intelligence (AI) systems and services will continue on a high-growth trajectory. According to the latest worldwide market study by International Data Corporation (IDC), spending on AI systems will reach $97.9 billion in 2023 - that's more than two and a half times the $37.5 billion that will be spent in 2019. The compound annual growth rate (CAGR) for AI in the 2018-2023 forecast period will be 28.4 percent.

As our world and the nature of work fundamentally changes, leaders must consider necessary new skills and accompanying mindset shifts. Changes in the world and workplace mean a shift from traditional leadership to one led by digital transformations. In order to execute effective leadership in a digital world, leaders must embrace key changes rooted in factors like technology, demographics, and cultural norms while retaining the enduring and contextual characteristics of leadership. Will I be ready to lead in 2025? I'm wondering how many of us are asking this question of ourselves.

INSURERS have seen many changes in recent years, including new competition, the emergence of insurtechs, and shifting consumer demands for new products and/or services. Digital is the most common top business priority for insurance CIOs in 2018 and 2019, according to Gartner's 2019 CIO Agenda for the insurance industry. For the first time, this has moved to the top of the list, outranking revenue and business growth in focus. "The industry continues to transform as companies begin to embrace more advanced stages of digital maturity," said Gartner Managing VP Juergen Weiss in an exclusive interview with Tech Wire Asia. This journey includes improving customer experiences, building out ecosystems, establishing enterprise intelligence through improved data and analytics, and adopting an open innovation platform that relies more on ecosystem partners.

Automation in the workplace has been one of the looming existential threats to American workers for years now. And with each new study published, the fear of robots, machines, and artificial intelligence coming to take our jobs ticks higher. But a new report from McKinsey finds that the future of work and automation isn't quite the zero-sum game when it comes to jobs as some perceive. Right now, 51% of job activities could be automated with "currently demonstrated" technology, the McKinsey report says. The distinction is noteworthy: McKinsey isn't saying half of all jobs can be automated with existing technology, but rather job tasks.