2026年科技预测：顶级科技趋势、工具与技能

2026Tech The top tech trends,tools, and skills Table of contents Introduction: Our 2026 tech trends and predictions. . . . . . . . . . . . . . . . . .3Universal tech predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .5Tech workforce predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .12AI predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .23Cybersecurity predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .32Software development predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .38Cloud predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .43Data predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .46IT leadership predictions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .50Conclusion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .56 Introduction Our 2026 tech trends and predictions AI is changing everything, including what it means to be a techprofessional. As fields become multidisciplinary, the boundariesbetween skill sets are fading, making it harder to define what’s •Software engineerswere once expected to be experts inprogramming (and,in most cases, cloud computing). Now, theyalso need to know how to securely use, implement, and verify •Cybersecurity specialistssuddenly need to have enoughknowledge to mitigate AI’s novel risks and new attack surfaces •Data scientistsare shifting to think like systems engineers andwork with temporal data to build production-ready AI systems. •Cloud computing professionalswho can build, deploy, andsecure AI systems within cloud environments are suddenly in All the while, the question remains—is this an AI bubble, and howlong will it last? And, consequently, are the skills you’re buildingdependent on an inherently uncertain future? To help chart the way forward when change is the only constant,we’ve gathered insights from Pluralsight’s community of 2,500+expert authors and combined them with insights from 1,500 tech Trending technologies and skills Universaltech Right now, we’re in a stock bubble 17 times larger than the one created by the dot-com frenzy. The question isn’t if it exists, butwhen and how the $1.5 trillion bubble will end. We predict that while customer demand for AI will grow in 2026,the bubble will start to slowly deflate as GenAI companiesstruggle to find a path to profitability, all the while spending big on I believe there will be another AI winter, and I think the rush towardsAI is a massive risk for the tech industry as a whole. The solutionsare to continue to train people to become world-class designers and Mike McQuillan Pluralsight Author, Head of IT at Halls, andData and Software Development Specialist According to OpenAI CEO Sam Altman, investors are overexcitedabout AI models, and “someone will lose a phenomenal amountof money” as a result. It’s a belief shared byJamie Dimon, head “The way I look at it is AI is real; AI in total will pay off—just like carsin total paid off, and TVs in total paid off, but most people involvedin them didn’t do well,”he said. Why won’t the bubble just burst?Three factors explain why: I think there will be a hugepullback on AI investments as mostprojects fail to achieve ROI. Thiswill lead to hiring more humans.Rather than going all-in on AI, 1.The main drivers behind AIinvestment are not small playersbut billion-dollar companies with 2.Many governments believe theywill rise or fall depending onhow they adopt AI, prompting Kamran Ayub Pluralsight Author, Founder of KeepTrack of My Games, and Software 3.Investors will be willing to waita few more years to achieveROI on GenAI, betting that the 2. For years, companies have kicked many cybersecurity cans down the road, unable or unwilling to deal with them: burnout, lack ofskilled staff, escalating supply chain risks,quantum risk, and more. One of the biggest actions that companies will take is closing thecybersecurity skills gap. In 2025, this gap actually increased by8% according to the World Economic Forum, with only 14% of orgs Tech practitioners ranked cybersecurity as the most importantskill for them to learn in 2026, while executives ranked it as thesecond-most important growth area for their business, according Organizations are already investing in these skills. In 2025,tech professionals dramatically increased their study of Tech leaders face challenges from AI-powered attacks, stricterregulatory demands, and escalating supply-chain and identityrisks.