Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Todd Hsu, President, Ferroque Systems
For years, we’ve treated artificial intelligence and digital transformation as front-page innovations, but 2026 will mark the moment they disappear into the background. From my vantage point working with enterprises across industries, I’m seeing a shift away from flashy AI announcements and toward technologies that are simply expected to function as part of the business. This coming year isn’t about asking whether AI or automation matters, it’s about recognizing that these capabilities are becoming foundational layers of modern operations. As this shift accelerates, several trends will redefine how organizations evaluate technology investments, measure outcomes, and think about trust in a more digital-first environment.
1) The Death of AI: Intelligence becomes Infrastructure
By 2026, we’ll see the “death of AI” as the headline we know it to be today. This, however, won’t mark the end of AI innovation, it will signal its maturity. Artificial intelligence will stop being the frontpage soundbite and start being the hidden layer powering everything from customer interactions to backend operations. Just as the internet quietly transformed from a futuristic idea into the backbone of modern life, AI will fade into the fabric of how work gets done. The focus will shift away from algorithms and model counts toward tangible business outcomes: faster problem resolution, sharper insights, and smoother customer journeys.
In this next phase, AI will be less about disruption and more about integration. Companies that once promoted “AI-powered” products will instead highlight measurable value: time saved, risks reduced, opportunities discovered. For leaders, this means rethinking how success is framed. It won’t be about adopting AI for AI’s sake, but be around embedding intelligence that enhances creativity, productivity, and decision-making. The “death of AI,” in truth, is the birth of something better: a world where technology disappears into the workflow, and only results remain visible.
2) The Subscription Reckoning for Spike-Driven Tools
A major market correction is coming for software products designed for episodic use, particularly migration, testing, or one-time transformation tools. These “Halley’s-comet” workloads appear rarely but require intense bursts of effort when they do. Customers are increasingly resistant to paying full-time subscriptions for tools they only need occasionally. In response, vendors will face pressure to rethink their business models around metered usage, short-term licensing, or success-based pricing that ties payment to tangible project outcomes. This shift will also blur the lines between software and services: customers will want partners who can deliver packaged solutions that include both the technology and the expertise to make it successful. By 2026, sustainable growth for these tools will depend less on recurring fees and more on recurring trust, proving value every time the tool comes back into orbit.
3) “SEO for AI” Arrives: Trust Becomes a Feature
The next frontier of AI disruption won’t be about what models can generate, it’ll be about what they can be made to believe. Just as early web pioneers learned to game Google’s search results, entire industries will emerge around manipulating large language models through strategic data seeding, misinformation, or “prompt poisoning.” The result will be an AI ecosystem where trust becomes a marketable feature. Enterprises will demand transparency about how models are trained, what data they ingest, and how bias and misinformation are filtered. Vendors that can demonstrate source provenance, content authenticity, and model governance will have a competitive edge. Expect to see “AI trust scores,” third-party audits, and “nutrition labels” for model quality become standard practice. The winners won’t just be the smartest algorithms, they’ll be the most accountable.
4) Synthetic Presence Goes Mainstream (and Gets Rules)
By the middle of the decade, digital humans will be as common as corporate chatbots once were. Executives, subject matter experts, and even brand mascots will exist as photorealistic, voice-enabled “synthetic presences” capable of hosting webinars, training employees, or delivering customer updates around the clock. What begins as novelty will quickly normalize. But it won’t be without boundaries. Expect regulations and internal policies requiring disclosure labels, consent tracking, and clear ethical guidelines for when and how synthetic avatars can represent real people. Used responsibly, these digital counterparts will extend the reach of expertise, preserve institutional knowledge, and personalize interactions at scale. But for every synthetic executive making customer engagement seamless, there will also be the question of authenticity-and ensuring audiences always know when they’re talking to a clone instead of a colleague. The organizations that navigate that transparency best will win the public’s trust in this new hybrid reality.
As we move into 2026, I believe the real story won’t be the emergence of new buzzwords, rather it will be how quietly and deeply intelligence embeds itself into our processes, interactions, and decisions. The companies that succeed will be the ones that go beyond adopting tools and start operationalizing them with clear business intent. Trust, transparency, and measurable value, rather than model counts or marketing language, will become the benchmarks. If there’s a theme that ties these predictions together, it’s this: the era of AI hype is ending, and the era of AI impact is finally beginning.
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ABOUT THE AUTHOR
Todd Hsu is the President of Ferroque Systems Inc., where he leads the company’s mission to deliver innovative digital workspaces, virtualization, and cloud solutions that empower enterprises to modernize IT and improve end-user experiences. With extensive expertise in Citrix, VMware, Microsoft, and other ecosystem technologies, Hsu has built Ferroque into a trusted advisor for organizations navigating complex IT transformations. He is recognized for his strategic vision, technical leadership, and commitment to helping businesses achieve agility, security, and long-term success in the evolving digital landscape.
