Harnessing Emerging Technologies to Power Your Business

48% of small businesses plan to adopt Artificial Intelligence this year, focusing on customer-facing apps.

Nearly every facet of business is evolving with the advent of artificial intelligence and other cutting-edge technologies. Small business operators are no longer regarding AI as a trend; it is now an integral part of their strategy. Approximately 80% of small business leaders are using or intend to utilize Artificial Intelligence, driven by its capabilities to enhance innovation and competitiveness, as shown in JPMorgan Chase´s 2025 Business Leaders Outlook Survey.

Artificial Intelligence tools are vital for maintaining competitiveness in a data-driven world, with nearly half of the small business owners planning to incorporate AI tools specifically for customer-facing applications, such as chatbots and customer service automation. Additionally, businesses are determined to invest in technologies that improve efficiency and ensure sustainable growth.

AI´s potential includes learning, reasoning, and problem-solving, with applications in marketing, customer service automation, data analysis, and operational efficiencies. This emphasis on emergent tech is critical for small businesses in automating tasks, freeing their workforce for more strategic endeavors. Moreover, personalized AI solutions allow businesses to innovate, reduce costs, and optimize operations, ultimately benefiting the bottom line.

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Artificial Intelligence PC arms race reshapes the NPU market

Qualcomm, AMD, Intel, and a looming NVIDIA entry are turning the Artificial Intelligence PC into the new standard, as neural processing units redefine performance, power efficiency, and local computing. The competition is fragmenting the old Wintel order and accelerating a shift toward on-device generative Artificial Intelligence.

Debating a post-GeForce future for Nvidia and PC gaming

Hacker News commenters argue over whether Nvidia could realistically exit consumer graphics in favor of Artificial Intelligence hardware, and what that would mean for PC gaming, hardware prices, and industry competition.

Andrej Karpathy outlines four strategies for Artificial Intelligence startups building on large models

Former Tesla Artificial Intelligence chief Andrej Karpathy argues that a new layer of “LLM apps” is emerging on top of general-purpose language models, with tools like Cursor showing how startups can specialize for specific industries. He outlines four core functions these applications should perform and explains how they can remain competitive with major labs such as OpenAI, Anthropic, and Google.

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