{"id":17999,"date":"2025-01-09T13:41:37","date_gmt":"2025-01-09T12:41:37","guid":{"rendered":"https:\/\/www.gpbullhound.com\/?post_type=article&p=17999"},"modified":"2025-01-09T16:03:57","modified_gmt":"2025-01-09T15:03:57","slug":"10-predictions-to-drive-technology-in-2025","status":"publish","type":"article","link":"https:\/\/www.gpbullhound.com\/articles\/10-predictions-to-drive-technology-in-2025\/","title":{"rendered":"10 Predictions to Drive Technology in 2025"},"content":{"rendered":"\n

Following a year of tangible progress, 2025 emerges as a moment when once-theoretical technologies begin moving into concrete reality. Quantum sensing breaks free from research labs, edging into practical applications with enterprise investment and government support at unprecedented levels. Multimodal AI\u2019s fusion of text, images, and audio ushers in richer, more intuitive interactions that redefine entire markets. Meanwhile, agentic AI takes its first careful steps beyond controlled pilots, hinting at a future where intelligence acts independently to solve complex problems. Against this backdrop, businesses and industries recalibrate around trust, ethics, and infrastructure\u2014both on Earth and in orbit\u2014to ensure that innovation not only advances but endures. Here\u2019s what\u2019s in store for 2025.<\/p>\n\n\n\n

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\u201cAs we approach 2025, the technological landscape is evolving at an unprecedented pace, driven by advancements in artificial intelligence and quantum technology that are challenging assumptions across digital identities, cybersecurity, space, and more. Amid economic uncertainty, AI remains central to this transformation, with its potential amplified by developments across sectors that extend its applications far beyond traditional boundaries.

Crucially, organisations are moving beyond experimentation and deeply integrating AI into their operational frameworks, optimising workflows, and automating complex decision-making. This shift promises to redefine productivity standards and open new economic frontiers. The commoditization of AI, alongside the rise of accessible, specialised applications, enables companies across sectors to capitalise on machine learning advancements, while data\u2014the fuel of this transformation\u2014is becoming an invaluable asset.

In this period of profound technological change, one certainty stands: businesses that cling to outdated thinking will be left behind. As John Maynard Keynes observed, \u2018The difficulty lies not so much in developing new ideas as in escaping the old ones.\u2019 This insight is more relevant than ever, as thriving in the AI age demands a radical rethinking of organisational structures and roles. AI\u2019s impact is already as transformative as the internet\u2019s, reshaping how we interact with technology and each other. The question is no longer whether AI will change the world\u2014it already has. Now, the challenge is how quickly we embrace this shift and what we\u2019re willing to leave behind to make room for the future,\u201d commented Per Roman, Managing Partner, and Alec Dafferner, Partner, GP Bullhound<\/strong><\/p>\n<\/blockquote>\n\n\n\n

GP Bullhound\u2019s 2025 Technology Predictions<\/strong><\/p>\n\n\n\n