I Correctly Predicted Chatgpt Here Are My 6 Ai Predictions For 2026

Bonisiwe Shabane

-Dec 26, 2025, 12:02 AM

i correctly predicted chatgpt here are my 6 ai predictions for 2026

Just when you think you’ve wrapped your mind around computers that can put your dog in front of the Eiffel Tower or chatbots that act like your best friend (or lover), the AI behemoths... Home prices are falling in these 98 housing markets Crumbl Cookies store closures: See the list of doomed locations, even as the company plots a 2026 expansion Wegovy is coming in pill form. Here’s when, how much, and how well it works I’ve worked in the AI space for 15 years.

I served as an early beta tester for OpenAI in 2020, when I predicted that a little model called GPT-3 had world-changing potential. Just when you think you’ve wrapped your mind around computers that can put your dog in front of the Eiffel Tower or chatbots that act like your best friend (or lover), the AI behemoths... I’ve worked in the AI space for 15 years. I served as an early beta tester for OpenAI in 2020, when I predicted that a little model called GPT-3 had world-changing potential. It was later released as something called “ChatGPT”–perhaps you’ve heard of it? I’ve also called several big AI trends correctly, including the rise of video generators and the “AI Wars” between Google and OpenAI.

Based on my experience, here are my six AI predictions for 2026 and beyond. Having predicted AI trends, I share my six forecasts for 2026, focusing on innovation, competition, and ethical considerations. Just when you think you’ve grasped the extent of technology with computers that can place your dog in front of the Eiffel Tower or chatbots mimicking your closest friends (or even romantic partners), the... Having spent 15 years immersed in the AI landscape, I was an early beta tester for OpenAI back in 2020. At that time, I foresaw the revolutionary potential of a model named GPT-3. This model later emerged as what we now know as “ChatGPT”—a name you might recognize.

I’ve also accurately anticipated several major AI trends, such as the explosion of video generators and the so-called “AI Wars” pitting Google against OpenAI. Welcome to Silicon Sands News—the go-to newsletter for investors, senior executives, and founders navigating the intersection of AI, deep tech, and innovation. Join ~35,000 industry leaders across all 50 U.S. states and 117 countries—including top VCs from Sequoia Capital, Andreessen Horowitz (a16z), Accel, NEA, Bessemer Venture Partners, Khosla Ventures, and Kleiner Perkins. Our readership also includes decision-makers from Apple, Amazon, NVIDIA, and OpenAI, some of the most innovative companies shaping the future of technology. Subscribe to stay ahead of the trends defining the next wave of disruption in AI, enterprise software, and beyond.

This week, we explore the Year LLMs got upstaged and a look back at last year. The Future is Specialized: The era of massive, general-purpose models as the sole solution is over. The real value lies in small, efficient, and highly specialized models tailored to specific enterprise needs. Look for startups that are building these specialized models and the platforms that enable them. Data is the New Moat: In a world of open-source models, the most durable competitive advantage will come from proprietary data. Invest in companies that have a clear strategy for acquiring, curating, and leveraging unique datasets to build specialized models.

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. We live in an era where AI models can generate art, code software and even predict protein structures. But can they predict cultural trends? As we hurtle toward the mid-2020s, predicting what comes next feels more challenging than ever. Technology evolves at breakneck speed; cultural shifts happen overnight on social media; and entire industries reinvent themselves annually.

So I decided to turn to the experts — or at least the artificial ones. I posed the same question to ChatGPT-4o, Gemini 2.0 and Claude 3.7 Sonnet: Predict the biggest trends we'll see in 2026 across technology, culture, fashion, and entertainment. What's going to be in, what's going out, and why? Their responses were fascinating, surprisingly different, and revealed just how uniquely each AI approaches predictions. Here's what they told me. PLUS: What I got right (and wrong) about 2025

As 2024 came to a close, I noted here that two big stories were beginning to crowd out everything else in tech: the rapid development and diffusion of artificial intelligence, and the shifting policies... Twelve months later, those stories did indeed define the year here at Platformer. On the product side, this year saw the first consumer agents, deep research, Google’s AI mode, OpenAI’s hardware ambitions, Sora, and the Atlas browser, among other key developments. Meanwhile, AI policy got both looser and more restrictive. Frontier AI labs eagerly made deals with the US military, reversing long-held policies against building weapons of war, and began leaning into adult content, from erotica in ChatGPT to Grok’s sexbot companion. On the other hand, amid rising evidence that chatbots were fueling a new mental health crisis, AI companies placed new restrictions on teen use and added parental controls.

All that took place against the backdrop of the new Trump administration, whose impact on the tech world was felt almost immediately. The year began with Meta’s surrender to the right on speech issues, a move that included changing its policies to allow for more dehumanizing speech against minority groups. It also killed its DEI program, a move followed by many of its peers, and shut down systems that once prevented the spread of misinformation. <img decoding="async" src="https://solutionsreview.com/identity-management/files/2023/07/9.gif" alt="Ad Image" /> <img decoding="async" class="aligncenter size-medium_large wp-image-54796" src="https://solutionsreview.com/wp-content/uploads/2025/12/2026-Predictions-artificial-intelligence-768x384.jpg" alt="AI and Enterprise Technology Predictions from Industry Experts for 2026" width="768" height="384" srcset="https://solutionsreview.com/wp-content/uploads/2025/12/2026-Predictions-artificial-intelligence-768x384.jpg 768w, https://solutionsreview.com/wp-content/uploads/2025/12/2026-Predictions-artificial-intelligence-300x150.jpg 300w, https://solutionsreview.com/wp-content/uploads/2025/12/2026-Predictions-artificial-intelligence-400x200.jpg 400w, https://solutionsreview.com/wp-content/uploads/2025/12/2026-Predictions-artificial-intelligence.jpg 800w" sizes="(max-width: 768px) 100vw, 768px" /> As part of the 7th Annual Insight Jam LIVE event, the Solutions Review editors have compiled a list of predictions for 2026 from some of the most experienced professionals across the Artificial Intelligence (AI)...

As part of Solutions Review’s annual Insight Jam LIVE event, we called for the industry’s best and brightest to share their enterprise technology predictions for 2026 and beyond. The experts featured represent some of the top solution providers, consultants, and thought-leaders with experience in these marketplaces. Each projection has been vetted for relevance and its ability to add business value. Solving the AI-Readiness Gap Will Become the Primary Investment Priority for Data Leaders. ChatGPT has transformed from a novel research demo into a household name almost overnight. Launched in late 2022, it kicked off an AI revolution — growing to 100 million users in just two months, the fastest adoption of any consumer app in history.

This meteoric rise has sparked tremendous excitement about AI’s potential, alongside urgent debates about what’s next. Where do AI chatbots go from here? How will tools like ChatGPT evolve in capabilities and role? And what challenges must be navigated along the way? In this article, we’ll explore expert predictions and emerging trends shaping the future of ChatGPT and AI assistants, from the near term to the long run. ChatGPT’s debut heralded a new era for AI assistants.

It kicked off a “growth curve like nothing we have ever seen,” according to OpenAI’s CEO Sam Altman, and demonstrated the massive upside of generative AI technology. Now, as major players like OpenAI, Google, Anthropic, and Meta race to build more powerful chatbots, a clearer picture is forming of short-term vs. long-term developments. Just when you think you’ve wrapped your mind around computers that can put your dog in front of the Eiffel Tower or chatbots that act like your best friend (or lover), the AI behemoths... Home prices are falling in these 98 housing markets Crumbl Cookies store closures: See the list of doomed locations, even as the company plots a 2026 expansion Wegovy is coming in pill form. Here’s when, how much, and how well it works I’ve worked in the AI space for 15 years.

I’ve also accurately anticipated several major AI trends, such as the explosion of video generators and the so-called “AI Wars” pitting Google against OpenAI. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. We live in an era where AI models can generate art, code software and even predict protein structures. But can they predict cultural trends? As we hurtle toward the mid-2020s, predicting what comes next feels more challenging than ever.

Technology evolves at breakneck speed; cultural shifts happen overnight on social media; and entire industries reinvent themselves annually. So I decided to turn to the experts — or at least the artificial ones. I posed the same question to ChatGPT-4o, Gemini 2.0 and Claude 3.7 Sonnet: Predict the biggest trends we'll see in 2026 across technology, culture, fashion, and entertainment. What's going to be in, what's going out, and why? Their responses were fascinating, surprisingly different, and revealed just how uniquely each AI approaches predictions. Here's what they told me.

I Correctly Predicted Chatgpt Here Are My 6 Ai Predictions For 2026

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