{"id":5931,"date":"2025-12-18T14:54:18","date_gmt":"2025-12-18T14:54:18","guid":{"rendered":"https:\/\/bridgewise.com\/?p=5931"},"modified":"2025-12-18T14:54:18","modified_gmt":"2025-12-18T14:54:18","slug":"ai-trends-for-2026","status":"publish","type":"post","link":"https:\/\/bridgewise.com\/blog\/ai-trends-for-2026\/","title":{"rendered":"From Multi-Agent Models to Hardware Advances \u2013 Key AI Trends for 2026"},"content":{"rendered":"<p><em>By Gaby Diamant, BridgeWise CEO<\/em><\/p>\n<p><span style=\"font-weight: 400;\">Earlier this month, Time Magazine named the \u201c<\/span><a href=\"https:\/\/time.com\/7339621\/person-of-the-year-2025-ai-architects-choice\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Architects of AI<\/span><\/a><span style=\"font-weight: 400;\">\u201d as its Person of the Year for 2025. With a cover featuring AI leaders including Sam Altman, Mark Zuckerberg, Elon Musk, Jensen Huang, and others, the recognition signals that AI platforms have reached a new level of mainstream acceptance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While the list usually features political or social figures, it has occasionally included tech figures in the past, including Elon Musk, Mark Zuckerberg, and Jeff Bezos. The magazine also recognized \u201cThe Computer\u201d as Machine of the Year in 1982.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I think this choice by Time is a unique opportunity to review where the AI industry stands at the end of 2025 and what trends we can expect for 2026. Now, you might say that 1982 was a bit early to recognize the significance of the personal computer, or that Bezos was chosen a year before the dot-com crash. Both are true. But personal computing and the internet were ubiquitous only a few short years after Time selected them. I have no doubt AI will prove the same, even if some predict the bursting of an AI bubble.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But before I look at 2026, I want to take a look back at the predictions I made a year ago about the important <\/span><a href=\"https:\/\/bridgewise.com\/blog\/ai-trends-for-2025\/\"><span style=\"font-weight: 400;\">AI trends for 2025<\/span><\/a><span style=\"font-weight: 400;\"> and see how they held up. I highlighted three key trends for 2025:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The Rise of the Multi-Agent Model<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More Efficient AI Models<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">More Players Following BridgeWise into the Investment Intelligence Space<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Looking back, all three of these trends have proven true over the past year. The multi-agent model, also referred to as agentic AI, is moving forward at full speed and driving the growth of connected fields such as <\/span><a href=\"https:\/\/bridgewise.com\/blog\/the-future-of-verticalized-ai\/\"><span style=\"font-weight: 400;\">verticalized AI<\/span><\/a><span style=\"font-weight: 400;\">, which I\u2019ll elaborate on later in this post. More AI models have embraced <\/span><a href=\"https:\/\/www.llama.com\/models\/llama-4\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">efficiency<\/span><\/a><span style=\"font-weight: 400;\">, since there\u2019s no way to brute-force scale and there\u2019s no chance AI models will continue to grow indefinitely. We aren\u2019t going to go from 2 trillion parameters to 20 trillion; It won\u2019t work.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Finally, we\u2019ve seen more growth in the investment intelligence space. You only need to look at OpenAI <\/span><a href=\"https:\/\/www.finextra.com\/newsarticle\/46795\/openai-hires-wall-street-bankers-to-train-ai-in-financial-models\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">hiring over 100 former investment bankers<\/span><\/a><span style=\"font-weight: 400;\"> to train financial AI, or Anthropic\u2019s <\/span><a href=\"https:\/\/www.anthropic.com\/news\/claude-for-financial-services\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Claude for Financial Services<\/span><\/a><span style=\"font-weight: 400;\"> offering, to understand that the industry is looking at the investment space as an opportunity.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Looking ahead to 2026, I want to focus on three areas.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Multi-Agent and Verticalized AI See Accelerating Growth<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">This was one of my predictions from last year, but we now see that it has become the main paradigm of AI services and will continue to lead and develop over the course of the next year.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">While there are many different terms being used &#8211; multi-agent, agentic, multi-modal &#8211; they are all part of the larger overarching trend in AI. Alongside verticalized AI that targets distinct industries, these trends lead to a future where multiple subject-specific models will be developed to tackle unique challenges, with AI services leveraging them to support the full spectrum of possible queries.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For specific examples, look at Harvey AI, the leading legal AI provider. The company recently raised money at an <\/span><a href=\"https:\/\/techcrunch.com\/2025\/12\/04\/legal-ai-startup-harvey-confirms-8b-valuation\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">$8 billion valuation<\/span><\/a><span style=\"font-weight: 400;\">. In the health space, AI medical scribe <\/span><a href=\"https:\/\/www.bloomberg.com\/news\/articles\/2025-10-06\/ai-health-startup-heidi-gets-point72-funds-at-465-million-value\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Heidi raised money<\/span><\/a><span style=\"font-weight: 400;\"> at a valuation approaching half a billion dollars. Or look at what our friends at NVIDIA are <\/span><a href=\"https:\/\/blogs.nvidia.com\/blog\/aws-partnership-expansion-reinvent\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">doing with Nemotron<\/span><\/a><span style=\"font-weight: 400;\">. We were fortunate to be one of the first companies to use these new models on Amazon Bedrock to boost our testing capabilities and ensure accurate outputs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">All of it adds up to an agentic world in which specialized models exist to tackle the myriad set of knowledge bases and problems we face, and solve them with highly targeted, context-specific models.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">A Push for Hardware Innovation<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">While the current set of hardware technologies has enabled the powerful AI solutions we see today, and near-term advances should allow the industry to continue to develop, we are starting to approach the point of diminishing returns with the current generation of AI silicon. One need only look at the <\/span><a href=\"https:\/\/techcrunch.com\/2025\/11\/19\/rising-data-center-electricity-use-risks-blackouts-during-winter-storms\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">power demands<\/span><\/a><span style=\"font-weight: 400;\"> of rapidly growing data centers around the world to realize something needs to change.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is why I predict we are going to see accelerating investment in new AI-focused hardware technologies. One area that could garner a great deal of attention is quantum computing. Now, you may have heard this technology talked about for some time, and it feels like one of those areas where the big breakthrough is always 10 years away.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But quantum computing and AI are a perfect fit due to the parallel nature of the technology. A typical computing system will try to solve one problem, and then another, and another, in serial. With quantum computing, the problems are solved all at once. I\u2019m oversimplifying, and the challenges to implementing quantum computers are serious, but the opportunity the technology carries to unlock accelerated AI development cannot be discounted. And if quantum computing isn\u2019t the solution, the demand for AI hardware will push the industry to find an alternative.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Consolidation in the AI Industry<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">While the technological race continues at full speed, don\u2019t be surprised if we see major developments on the business side of the AI industry. The opportunity for consolidation of services and AI players is approaching critical mass, and you shouldn\u2019t be surprised if we see major developments in this direction, whether through acquisitions, partnerships, or simple market dominance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In other areas of the tech world, we see a handful of dominant players, often one, sometimes two, but you can just look at the last 40 years of tech development to see how early mover advantages don\u2019t always translate into future dominance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">That\u2019s one of the reasons I think the whole industry needs to keep its eyes on Google. The momentum they\u2019ve established with Gemini is remarkable, and they don\u2019t appear to be slowing down. I\u2019ve said before that I would bet my money on Google taking the lead in the AI space, and while nothing is guaranteed, I certainly wouldn\u2019t want to bet against them.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But regardless of whatever consolidation happens in the wider AI space, I feel confident about our corner of it here at BridgeWise. When we look at AI-driven investment intelligence, I know that no player has a more robust, reliable, and comprehensive solution.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">We cover a broad range of asset classes &#8211; from equities to ETFs and funds, bonds, crypto, and more &#8211; and we provide a host of solutions and services that are tailored for multiple categories of financial institutions and investors.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our AI models are unmatched in their performance and reliability, and most critically, in the way we have mitigated the hallucination challenge, which can impede AI services operating in a highly regulated space such as ours. And we can tie all of these services together with Bridget\u2122, the most advanced AI chat for investment intelligence.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">With an AI industry that is moving quickly towards a multi-agent future, while also facing the rising prospects of consolidation, at BridgeWise, we are well-positioned to navigate what is certain to be one of the most dynamic phases of the accelerating AI revolution. I can\u2019t wait for the industry to see some of the surprises we have in store for 2026.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>BridgeWise CEO Gaby Diamant examines the most important AI trends for 2026.<\/p>\n","protected":false},"author":8,"featured_media":5935,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[13,44],"tags":[86,132,126],"class_list":["post-5931","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-ai-and-capital-markets","tag-ai-trends","tag-multi-agent-ai","tag-verticalized-ai"],"acf":[],"_links":{"self":[{"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/posts\/5931","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/comments?post=5931"}],"version-history":[{"count":1,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/posts\/5931\/revisions"}],"predecessor-version":[{"id":5932,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/posts\/5931\/revisions\/5932"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/media\/5935"}],"wp:attachment":[{"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/media?parent=5931"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/categories?post=5931"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bridgewise.com\/wp-json\/wp\/v2\/tags?post=5931"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}