New Gen unveils intelligent web storefronts for retailers to take advantage of agentic commerce

For organizations already using AI, adopting more efficient models offers an opportunity to further optimize operations, refine existing AI systems, and ensure that AI investments deliver maximum return. As AI continues to evolve, businesses that embrace these advancements will be better positioned to meet the demands of a competitive marketplace. One of the primary advantages of open-weight AI is the level of control it gives businesses over their systems. Companies can adapt these models to fit their specific operational needs, fine-tuning them to process proprietary data more effectively. Additionally, companies can host open-weight AI models on their own infrastructure, keeping sensitive data in-house while still benefiting from cutting-edge AI capabilities. Banerjjee, formerly the Global Commerce Head at Accenture and a founder and CTO at Tata Digital, is now the President of Rezolve Ai Global Professional Services and Chief Digital Officer.

Mass market products will probably be primarily AI generated at some point, whereas an ‘artisinal’ market of more expensive games made without AI tool assistance will proliferate among enthusiasts. Given just how many mass layoffs we’re seeing across the industry, it’s hard not to feel concerned about gaming’s current trajectory. If generative AI is catching on this quickly amongst smaller studios, it’s surely only a matter of time until big publishers really start weighing up the cost-cutting potential of these AI platforms.

Future-Fit Talent: Skills Over Roles

The problem is that we live in a world where goods and services are created not to add value, solve problems, or whatever else. They are in stead all designed to prey upon you and extract as much cash as long as possible. This is why it’s good to support indie games that don’t use any sort of AI.

Beyond the Barcode: Why RFID is the Backbone of the Future Food Chain

• But development staffs and CIOs who have staked their careers and skill sets on legacy systems will resist.
• Our team of market analysts can help you select the best report covering your industry.
• As search algorithms evolve and the volume of generative content explodes, GEO services are positioned as critical infrastructure for any business that wants to be found, trusted, and preferred in the digital space.

Maintaining customer trust starts with data, which then enables AI to provide trustworthy responses. CEOs and business leaders certainly will — they are desperate for more agility. But development staffs and CIOs who have staked their careers and skill sets on legacy systems will resist. New Gen argues that maintaining customer relationships in this upcoming era will also become about building storefronts to handle this new type of shopper — one that is programmatic and not just human.

View All General Business

Without strong data foundations, efforts to use AI for personalisation and experience delivery will fall short,” Teresa Sperti, founder and director at Arktic Fox said. In its submission to the Productivity Commission, Meta expressed concerns that recent developments are making Australia’s privacy regime out of step with international norms. The company said these changes are imposing obligations on the industry that conflict with broader digital policy objectives. It also warned that such moves could disincentivize industry investment in AI in Australia or pro-consumer outcomes. Meta has been training its AI model, Llama, on publicly available posts from Facebook and Instagram since last year. However, the company was ordered to halt this practice for users based in Europe.

“Brands that are not surfaced in LLM-generated responses will see a significant decline in visibility, resulting in downstream impacts on customer acquisition, brand relevance, and market competitiveness. Those that delay will not merely fall behind, they risk being excluded from the AI-powered discovery layer entirely,” Hungerford added. Leaders who master this pivot, turning AI-driven productivity savings into bold, strategic innovation, will define the market landscape of the future. If by your next strategic review, at least 30% of your ambitious AI-driven pilots haven’t generated measurable revenue, reconsider your strategy.

• Maintaining customer trust starts with data, which then enables AI to provide trustworthy responses.
• Within the right agentic framework, these compact models are capable of performing complex tasks such as decision-making and delivering insights with remarkable speed.
• The more specific the use case is, the harder it will be for the AI to make mistakes, and the easier for the human in the loop to spot any that do occur.
• “AI is undoubtedly a powerful agent of change in the loyalty ecosystem as it evolves to accelerate processes and customer experience outcomes, strengthen personalisation and shape wider strategic decision-making.

Although Andersen agrees that inference pricing has gone down significantly, “the reality is that we are asking for more sophisticated tasks, queries that are perhaps 1,000 times more complicated” today as compared to two years ago, he says. Forward-thinking companies now approach talent with an entirely new lens—prioritizing skill liquidity over rigid organizational structures. I agree that this is no reason to reject AI as a tool, because that would be shooting oneself in the foot. But my adoption as an individual doesn’t stop me from being extremely worried for society in general. The only parallel that might make sense is the industrial revolution, which completely reshaped humanity for better or worse. @Slideaway1983 I’ve pretty much always worried about robots and computers and sci-fi stuff, but it was only a few months or so back when I first wondered, what if Siri, Hey Google, and Chatgpt all gained sentience around the same time?

Forrester believes that the tech services sector will grow by 3.6% in 2025 — I believe that rate could increase to 5% to 6% per year from 2026 to 2030 — driven by AI. Examples of agent-driven shopping experiences rolling out recently have come from Google LLC in its AI Mode search capability, which can display product listings and help users locate items they’re looking for. Microsoft Corp. also added AI shopping features to its Bing search engine and Edge web browser. In April, OpenAI debuted an AI-driven shopping experience in ChatGPT that allows users to locate the best deals for items and services they are looking for. Embracing these technologies today is the key to thriving in an increasingly data-driven and competitive market.

Development activity was also found to be higher in retail, with 61% of generative AI repositories showing active contribution compared to just 22% in finance. Technology services, which has been under massive pressure since 2023 due to over-expansion in the 2021–22 timeframe, will experience whiplash from AI. On one hand, the legacy software systems that PwC, Deloitte, and others have implemented for decades and that comprise much of their expertise, will be challenged in the short term and shrink in the long term. Cognizant, Capgemini, and others will be called on to help companies implement AI computing systems and migrate away from legacy vendors.