The AI Daily Brief: Artificial Intelligence News and Analysis
Does Gemini 3.1 Pro Matter?
20 Feb 2026
Chapter 1: What is the significance of Gemini 3.1 Pro in the AI landscape?
Today on the AI Daily Brief, Gemini 3.1 Pro is here, and I think its point is to flex multimodal. Before that in the headlines, a lot of talk about AI in India, but is there anything worth listening to? The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, quick announcements before we dive in.
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Today we start with the AI Impact Summit. It's a gathering in New Delhi that has brought together world leaders and AI executives. This is the first time the event has been held in a developing country with previous iterations hosted in the UK, France, and South Korea.
The selection of India as the host country was symbolically important, allowing the event to platform a political call to address AI inequality. Earlier in the week, a UN report highlighted that AI adoption is still growing more rapidly in the developed world, risking a permanent technological divide.
UN Secretary General Antonio Guterres wrote in an ex-post, The future of AI cannot be decided by a handful of countries or left to the whims of a few billionaires. AI must belong to everyone. AI must be accessible to everyone. AI must benefit everyone. AI must be safe for everyone. Let's build AI for everyone.
In a follow-up post, he called for a global fund on AI to, quote, build skills, data, affordable computing power, and inclusive ecosystems everywhere. Now, this is one of the first times we've heard world leaders proclaim the need to deliver affordable AI to the global south. Until now, the discussions have largely been about national or regional interests.
By way of example, last year's summit in Paris was squarely focused on European leaders establishing the need to invest and compete in the AI race. This year's event was a shift towards recognizing the need to treat AI as a global public good. The other big theme of the summit was India itself declaring their ambition to become a global AI power.
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Chapter 2: How does the AI Impact Summit address global AI inequality?
This week's email reinforced that initial training is now over and use of AI is a fundamental requirement of the job. It stated, Use of our key tools will be a visible input to talent discussions during the summer promotion cycle. In their story about this, Financial Times noted that AI holdouts are becoming a major problem across the consulting industry.
Three executives at big four accounting and consulting firms said that convincing senior managers and partners to use AI has been a much more difficult task than introducing the tools to junior staff. One executive said that older, more senior figures at the firms are more set in their ways, requiring a carrot and stick approach. It'll be interesting to see how much internal resistance they find.
One person familiar with the policy change said they would, quote, quit immediately if it affected them, while another source criticized the quality of the tools deployed at Accenture, describing them as broken slop generators.
In a press statement, Accenture explained the need to keep pushing, commenting, Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled great place to work. That requires the adoption of the latest tools and technologies to serve our clients most effectively. And to understand why, you only need glance at Accenture's share price.
The stock is down 17% year-to-date and 45% over the past year. Now, this is pretty interesting to me as a bellwether of where corporations might go. I think Hedgy at HedgyMarketsOnX probably sums up the feeling of a lot of folks when he writes, If these tools were actually useful, people would just use them. You don't need to track logins and tie them to promotions.
The fact that companies are resorting to this tells me adoption isn't happening organically, which raises questions about whether the tools are delivering value or just generating metrics for leadership to point at. I don't think this is necessarily a super cynical take, but I do think it's wrong.
The biggest issue that we find across all of our surveys at AI Daily Brief, as well as everything we do at Superintelligent, is the problem of time. People inside enterprises report that they don't have time to learn the technology that would save them time.
And unfortunately, the vast majority of companies we interact with don't create specific time carve-outs for their people to learn how to use these tools. They simply expect people to figure out that time on their own.
That creates a situation where people feel negatively about these tools because they're just another layer of stuff that they have to do, which creates the need for mandates like this.
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