University of Kwazulu-Natal

10 Ai Predictions For 2026 Forbes Magazine Digitalslrphoto Com

Bonisiwe Shabane
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10 ai predictions for 2026 forbes magazine digitalslrphoto com

At QA, we have the privilege of seeing technology and skills trends as they emerge. Coupled with our internal expertise, it’s a bit like having a crystal ball. So, as we enter 2026, I’m peering into the future and sharing a few pivotal shifts to expect surrounding AI before this year is out – but first, some context to how we got... Over the course of 2025, businesses and individuals alike made the step from preparing for AI change to actively living alongside it. 79% of organisations were using generative AI as of November, up from 65% the year prior. But we have a long way left to go, since only 38% have moved beyond pilots into real adoption.Last year, we moved from awareness to action.

We shifted from talking about AI’s potential to rolling out all-staff training in prompting proficiency, tailored to roles and industries, because organisations are ready to start really applying new, powerful tools to their use... And it remains so. One much-debated question in the public mind that I tackled last year was whether AI could replace therapists. My take on this was a resounding ‘no’. While there may be some useful applications in triaging, for instance, human expertise matters. Especially in high-risk situations.

Sadly, that message hasn’t always landed, and there have been sobering stories of people turning to AI for help instead of professionals. Regulation in this field is urgently needed to catch up with the tech and how it’s already being used.There’s another side to that coin. On one face, premature application without safeguards; on the other, AI reluctance and hesitation. There’s a tension between the fear of moving too fast and the risk of falling behind. Fueling and complicating all of this is the growing skills divide.It’s a new year, but all these questions follow us into 2026, and must be tackled. Attitudes are shifting again.

AI is becoming the interface for everything, citizen developers are on the rise and democratised tech skills are a reality. Generative AI tools won’t just be for business staff. Technical teams - yes, even those building AI applications - will need prompting proficiency of their own. AI literacy will become as fundamental as Excel skills once were. Expect deeper integration of AI features within existing software. Microsoft Copilot will lead the charge, with Copilot 365 gaining smarter connections and richer context.

We’ll end up with AI that feels less like an add-on and more like part and parcel of your familiar operating systems. We already know from OpenAI’s Dev Day that ChatGPT will start hosting apps from early this year, and I expect Copilot won’t be far behind. Microsoft’s new AI companion, Mico, is a perfect example of this shift, prioritising a human-centered approach. In short, AI is soon going to be our go-to tool for everything, with all the other tools embedded inside it. Every year I make a list of predictions & score last year’s predictions. 2025 was a good year : I scored 7.85 out of 10.

I will release the scoring tomorrow. For today, here are my predictions for 2026 : This has already happened with consumers. Waymo rides cost 31% more than Uber on average, yet demand keeps growing. 1 Riders prefer the safety & reliability of autonomous vehicles. For rote business tasks, agents will command a similar premium as companies factor in onboarding, recruiting, training, & management costs.

SpaceX, OpenAI, Anthropic, Stripe, & Databricks IPO, with SpaceX & OpenAI ranking among the ten largest offerings ever. The pent-up demand from 4+ years of drought finally breaks. Fear of disruption by fast-growing AI systems drives defensive acquisitions exceeding $25b as incumbents buy rather than build. Multimodal models & world/state-space models demand new data architectures. Vector databases grow revenue explosively as they become the connective tissue between foundation models & enterprise data. According to METR, AI task duration doubles every 7 months.

2 Current frontier models reliably complete tasks taking people about an hour. Extrapolating this trend, by late 2026, AI agents will autonomously execute 8+ hour workstreams, fundamentally changing how companies staff projects.

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