Google’s recent artificial intelligence (AI) efforts have reportedly calmed fears it was lagging its rivals.
As the Financial Times (FT) reported Sunday (Dec. 22), the tech giant has impressed investors this month with more advanced iterations of its AI models, surpassing competition in benchmark testing.
The company also introduced a new generation of its custom AI accelerator chip — a tensor processing unit (TPU) called Trillium — which is designed to challenge Nvidia’s market dominance, the report added.
In addition, Google’s AI model now includes the ability to act on users’ behalf and compile complex research reports — Project Mariner — and respond to real-time queries across text, video and audio — Project Astra — including using smart glasses. Lastly, it launched video and image generation models called Veo 2 and Imagen 3.
“The last month has transformed the state of AI, with the pace picking up dramatically in just the last week,” said Ethan Mollick, a professor at Wharton business school and author of a book on the technology, characterizing Google’s releases, in particular Veo 2, as “astonishing.”
“This isn’t steady progress — we’re watching AI take uneven leaps past our ability to easily gauge its implications,” Mollick said.
Writing about Google’s latest AI rollouts last week, PYMNTS argued that these developments signal that the system could transform user interactions and task automation. In the business world, these advances suggest possibilities for AI to affect operations ranging from warehouse management to customer service.
“Gemini 2.0 improves on previous AI systems by advancing the capabilities of autonomous decision-making through the integration of more sophisticated AI agents that leverage real-time data processing and adaptive learning models,” Prashant Kelker, chief strategy officer, partner and lead consulting sourcing and transformation – Americas, with global technology research and advisory firm ISG, told PYMNTS.
“As a result, enterprises will need to strengthen the cross-functional alignment between technology, business and compliance teams. As agentic AI goes into production, we are expecting cloud and edge computing capabilities to scale.”
The crucial innovation, that report added, comes from Gemini 2.0’s ability to handle multistep processes with less human oversight. Compared to traditional AI that responds to specific prompts, this system works to autonomously coordinate across platforms, with the potential to manage inventory or processing orders.
“Rather than completely redesigning their eCommerce systems, businesses will likely extend existing accessibility and structured data standards to create an ‘AI-enhanced HTML’ layer that sits between pure visual interfaces and full APIs,” Dev Nag, CEO of QueryPal, a support automation company, told PYMNTS.
The business landscape is challenging, but firms are increasingly flush with innovations designed to beat back any operational challenges with cutting-edge tech.
Artificial intelligence, for example, has become a linchpin of modern financial operations, reshaping processes from fraud detection to credit risk assessment. As companies warm toward harnessing AI-powered algorithms, efficiency and precision are being positioned at the forefront of operational improvement.
At the same time, B2B payments are undergoing a parallel transformation.
Legacy systems, which often relied on manual processes and paper-based invoicing, are being replaced by streamlined, digitized platforms. Businesses are turning to integrated payment solutions that enhance efficiency, security and transparency.
What is the reason for the accelerating digital transformation of back-office technology stacks and payment workflows?
A prominent root cause is the ongoing uncertainty afflicting the business environment. This includes escalating trade tensions marked by the imposition of tariffs, which have introduced a wave of hesitation across various sectors, impacting middle-market companies.
As economic uncertainties persist, financial management has become paramount, and, as the B2B news this week shows, few things support agile decision making and real-time forecasting better than the digitization of previously manual workflows.
Read also: AI Agent Systems Are Here — Will They Transform B2B?
One of the trends in B2B is the integration of AI-powered solutions to enhance operational efficiency. The adoption of agentic AI solutions is being explored to empower chief financial officers and treasurers by enabling autonomous financial decision making and operational efficiency.
Payments technology firm Transcard announced Tuesday (April 1) that it added agentic AI capabilities to its vendor network management solution. The changes to the company’s SMART Exchange are designed to streamline payment interactions between buyers and suppliers, with agentic AI automating onboarding and know your business (KYB).
Tesorio added an AI agent for supplier portals to its platform for accounts receivable automation, collections and cash flow management Thursday (March 27). The company’s new Supplier Portals Agent autonomously manages portal-based invoicing, from invoice submission to payment tracking, eliminating the need for finance teams to submit and track invoices across portals, a task that Tesorio said has become “one of the most manual, fragmented and error-prone parts of the AR process.”
AI-driven platforms can offer CFOs and treasurers insights and analytical capabilities, helping them navigate complex finances. The collaboration between agentic AI and financial operations is one potentially poised to unlock growth by empowering executives to make data-driven decisions with greater confidence.
See also: How CFOs Can Solve for Resource Bottlenecks in Back-Office Innovation
Beyond AI, the B2B sector is witnessing innovation in payment systems and risk management. Mastercard, for instance, launched a program Monday (March 31) aimed at encouraging the adoption of virtual cards for commercial payments. The initiative seeks to provide businesses with a more seamless, consumer-like experience, particularly in the realm of digital transactions.
Meanwhile, EasyPost on Tuesday introduced Forge, a B2B shipping solution designed to optimize logistics and reduce costs for enterprise clients. The development highlights the growing demand for specialized solutions that address the unique needs of B2B commerce, where efficiency and cost-effectiveness are paramount.
Risk management remains a concern for businesses operating on a global scale. To address this, Zip, also on Tuesday, rolled out a supplier risk management solution aimed at helping organizations assess and mitigate potential vulnerabilities in their supply chains. As geopolitical tensions and supply chain disruptions persist, such tools are key for maintaining operational resilience.
See also: What Treasurers Can Learn From How Central Banks Approach Risk
The ongoing evolution of FinTech is also shaping how businesses manage their assets and navigate economic uncertainties. A growing number of treasurers are turning to unconventional assets like bitcoin and gold as part of broader capital allocation strategies. The trend reflects a desire for diversification and a hedge against currency volatility, particularly as inflationary pressures and geopolitical risks continue to loom.
For CFOs, the challenge of maintaining financial visibility in a volatile environment is ever-present. Enhanced financial visibility tools are proving essential in navigating tariff uncertainties and ensuring liquidity management remains robust. These tools empower executives to forecast potential disruptions and respond proactively rather than reactively.
Supply chain transparency is another area receiving heightened attention. Inspectorio’s partnership with Open Supply Hub aims to promote greater transparency through open data platforms. The collaboration is intended to enhance accountability and ensure that sourcing practices adhere to evolving regulatory and ethical standards.
Looking forward, the question is not whether these technologies will continue to gain traction, but rather how quickly and effectively they will be adopted at scale.
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