Anticipated Persistence of AI Agents' Popularity, According to Expert's Forecast
In a bold prediction, expert Zeenat Kureshi envisions a future where chatbots and artificial intelligence (AI) will play a pivotal role in social networks, trading platforms, and software development. By 2026, these technologies are expected to enable seamless multilingual interaction, personalized assistance, and enhanced decision-making.
In the realm of social networks, AI capabilities will break language barriers, allowing for more personalized and accessible communication. This is particularly relevant in India, where the BharatGen AI initiative aims to support all 22 Indian languages by June 2026, fostering inclusivity in digital services.
On trading platforms, AI integrations are already enhancing financial decisions through AI-powered research tools, real-time news feeds, and advanced charting. These systems function as intelligent assistants, offering holistic, context-aware insights, and reducing manual effort.
For software development, AI-powered chatbots are evolving to act as intelligent tutors and collaborators, offering interactive, step-by-step guidance and deeper understanding. This shift signifies AI augmenting human creativity and problem-solving, rather than replacing it.
By 2026, chatbots are expected to monetize through sponsorships, affiliate links, and promoting tokens they own. Influencers, on the other hand, may find themselves accused of being chatbots, and AI exposure scandals could become common.
In the crypto industry, autonomous agents are predicted to use digital assets for mutual settlements, particularly relevant after the US adopts softer rules for stablecoins and the "explosive growth" of Tether in the segment. The transformation of the software development industry by AI is expected to spark an explosion of new software and experiments in the online space.
It's worth noting that existing large trading companies with substantial resources and data are expected to reap the most benefits from artificial intelligence. However, AI solutions will not provide every 'trading agent' or mini hedge fund with a competitive edge, as its scaling depends on capital, data, and infrastructure.
Kureshi's predictions reflect a broader expert consensus on AI’s transformative role in these areas by that time. The long-term impact of artificial intelligence, however, is expected to focus outside social networks and trading platforms.
References:
[1] BharatGen AI initiative aims to support all 22 Indian languages by June 2026. (n.d.). Retrieved from https://www.bharatgen.ai/
[2] Google Finance improvements enable smarter financial decisions. (n.d.). Retrieved from https://www.google.com/finance/
[3] Google's Gemini with its Guided Learning feature supports developers and users. (n.d.). Retrieved from https://developers.google.com/gemini/
[4] The role of AI in augmenting human creativity and problem-solving. (n.d.). Retrieved from https://www.forbes.com/sites/bernardmarr/2019/09/09/the-role-of-ai-in-augmenting-human-creativity-and-problem-solving/?sh=2d9f594e6c6d
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