Microsoft CEO Satya Nadella speaks at a company event on artificial intelligence technologies in Jakarta, Indonesia, on April 30, 2024.
Dimas Ardian | Bloomberg | Getty Images
LONDON — Microsoft will allow businesses to start making their own autonomous artificial intelligence agents starting next month, taking the fight back to Salesforce, which introduced its own configurable agentic AI tools in September.
At its “AI Tour” event in London on Monday, Microsoft revealed plans to allow organizations to create their own autonomous agents within Copilot Studio, the U.S. tech giant’s platform for customizing and building so-called “copilot” assistants.
These agents had previously been available in private preview after Microsoft announced them initially in May. Starting next month, they’ll move into public preview, meaning more organizations can start building AI agents of their own.
AI agents can act as virtual workers that can carry out a series of tasks without supervision. They are touted as a major evolution of large language model-based AI from chat interfaces, creating an experience that blends more seamlessly into the background.
Beyond adding the ability to create autonomous agents in Copilot Studio, Microsoft said it would also launch 10 new autonomous agents in Dynamics 365, the company’s suite of enterprise resource planning and customer relationship management apps.
Microsoft plans to introduce new agents in Dynamics 365 for sales, service, finance and supply chain teams.
How can AI agents be used?
Jared Spataro, Microsoft’s corporate vice president of modern work and business applications, on Monday displayed an example of an AI agent developed at consulting firm McKinsey.
The agent was shown as it parsed out an email to find out what the communication is about, checked its history, mapped it to industry-standard terms, and then found the right person in the firm to take the next step before writing and summarizing a response.
It may seem like “magic,” but the firm was able to develop its own AI agent just by using human language, not programming languages, according to Spataro.
Microsoft demonstrated how its autonomous AI agents work. In this example, a customer service agent receives a request for help on an order. The agent collects contextual data on the order and compares the issue with other common product problems. Then, after retrieving all the information, the AI sends a follow-up email.
Microsoft
“We’re excited about this because of the business value it can drive,” he noted, adding that McKinsey found it could reduce lead time by as much as 90%.
Competition is fierce
Microsoft is doubling down on AI agents at a time when competition is intensifying up in the red-hot artificial intelligence space.
Last month, at its annual Dreamforce showcase in San Francisco, Salesforce showed off a new platform called Agentforce, which allows enterprise organizations to spin up their own AI agents.
Zahra Bahrololoumi, Salesforce’s CEO of U.K. and Ireland, criticized the copilot model of AI assistants as not serving the needs of enterprises that well.
“All of these copilots activated on the edge, or in email — they’re not connected to or grounded within the context of customer data,” Bahrololoumi told CNBC in an interview earlier this month. “How is it going to represent a company accurately and responsibly? It isn’t.”
“I think we won’t see so many copilots for enterprise AI activity,” she added. “I’m not saying copilots won’t exist for other purposes. But in the context of enterprise, for autonomous enterprises to be able to plan, execute and take action — you’re no longer in Copilot there.”
Microsoft declined to comment on Bahrololoumi’s remarks when contacted by CNBC.
Separately, Microsoft also on Monday announced it had struck a five-year deal with the U.K. government to offer public sector organizations access to its AI tools.
Through an agreement with the Crown Commercial Service, the procurement agency of the U.K. government, Microsoft said it will allow public sector organizations to access its Microsoft 365 productivity tool suite, the Azure cloud platform and Microsoft 365 Copilot.
Microsoft 365 Copilot is a service offered by the tech giant that embeds generative AI into its suite of productivity apps.
Global investors are bracing for a battle between long and short-term wins amid a dramatic sell-off in artificial intelligence-related stocks.
AI darling Nvidia buoyed an otherwise deflated market when it reported strong earnings after the bell on Wednesday, sending its own stock soaring and carrying related names alongside it. However, the rally quickly reversed on Thursday with Nvidia ultimately ending the trading session 3% lower.
While the U.S. chipmaker’s earnings initially appeared strong enough to quell concerns over an AI bubble, economic speculation put global investors back on the defensive as hopes dimmed of a December rate cut by the Federal Reserve. The U.K.’s hotly anticipated Autumn Budget is also expected next week.
“I think the market is quite confused as to why this is happening,” Ozan Ozkural, founding managing partner at Tanto Capital Partners, told CNBC’s “Squawk Box Europe” on Friday.
Market moves this year have been driven by sentiment, momentum, AI and innovation, “with sprinkles of geopolitical risk,” he said. “Although we haven’t got a specific reason why there has been a sell-off on the back of the strong Nvidia results, to me it’s not that surprising, because [it’s] only a matter of time until sentiment just shifts, because we just live in a much more uncertain world.”
There also doesn’t need to be a catalyst, he added. However, the “most dangerous place we can be at” is a sustained sell-off, even if it’s a slow burn, Ozkural warning, noting that this could lead portfolio managers to lock in gains and cash out.
Asset managers are driven by compensation cycles which is why they don’t like to hedge their bets, he said. “No one cares about the long term. Everyone is dead in the long term. No one even cares about the medium term. It’s all about short term cycles,” he said.
“But the reality is, it’s year end, people need to get paid their bonuses, and it doesn’t pay to be bearish unless we see a sustained level of a sell-off.”
Investors with cash in an AI ETF or index may be cashing out due to a mixture of year-end risk management and continued concerns over an AI bubble. Those who may have made a lot of money on the back of the AI trade will probably want to step back and sell, said Stephen Yiu, investment chief at Blue Whale Growth Fund, which has a position in Nvidia.
However, for Julius Bendikas, European head of macro and dynamic asset allocation at Mercer, “it’s the battle between the solid fundamentals and questions being raised about multiples and maybe positioning getting a touch stretched.”
Despite solid fundamentals and earnings exceeding expectations, Bendikas told CNBC’s “Europe Early Edition” that investors are now starting to question whether the price is right and have started to sell as a result.
On technicals, “arguably, a lot of people have rushed into equities,” he said, noting that a recent Bank of America survey found cash levels are low. “So people have been quite long equities, maybe too long equities. And I think what we’ve seen yesterday is the valuations and technicals [narrative] overpowering the fundamental narrative, which came in quite strong post the Nvidia earnings overnight, a day ago.”
Nick Patience, AI lead at The Futurum Group, added: “Investors are also concerned about the circular nature of deals between Nvidia and other ecosystem players, questioning whether massive capital expenditures from hyperscaler customers represent sustainable demand.”
Fed rate cut
The moves may also reflect economic pressure. “The [Thursday] afternoon decline coincided with some negative macroeconomic signals in the form of the delayed September jobs report released in the morning that showed the US economy added 119,000 jobs – more than the expected 50,000 – but the unemployment rate rose to 4.4%, the highest level since October 2021,” Patience said.
The last bit of big news the market is expecting is the Fed’s December rate decision; investors had anticipated a cut but are now split on whether it will happen.
The central bank opting to not cut rates is “not an issue,” Yiu said, but could lead investors who had expected it to cut, to pause and recalibrate ahead of next year.
“I think people just want to probably lock in and derisk, and take a break from [President Donald] Trump as well, who knows what Trump is going to next,” he added.
Amid the hype, it’s difficult to work out the AI winners and losers, Yiu said, but he expects a differentiation between the companies investing in AI and those on the receiving end of that cash, which he called AI infrastructure. As the market shakes out, Yiu is placing his bets on the latter.
The entrance to a Foxconn construction site in Mount Pleasant, Wisconsin, in May 2019.
Katie Tarasov | CNBC
Foxconn showcased its push into artificial intelligence at its annual ‘Hon Hai Tech Day’ in Taiwan on Friday, underscoring the world’s largest contract manufacturer’s efforts to evolve beyond its role as the biggest assembler of Apple’s iPhones.
The company, officially known as Hon Hai Precision Industry Co., has also become a major player in the AI hardware space, with its event taking place the same day it announced a partnership with ChatGPT maker OpenAI.
OpenAI CEO Sam Altman, in a video statement streamed at the event, said that the two firms would “share insight into emerging hardware needs across the AI industry.”
He added that Foxconn would use those insights to design and prototype new equipment that could be manufactured in the United States.
The partnership will center on Foxconn’s server business, which earlier this year became its largest revenue driver and helped drive record profit in the September quarter.
Describing Foxconn and OpenAI as “natural partners,” Kirk Yang, an adjunct finance professor at National Taiwan University, told CNBC, “OpenAI needs strong partners, not only to manufacture products, but to quickly introduce all the products to the market.”
“So I think it makes perfect sense for OpenAI to work with Foxconn. And Foxconn is probably the strongest partner that open AI can find,” he added.
Foxconn also announced a partnership with Intrinsic, a unit of Alphabet to build so-called “artificial intelligence factories.”
The Taiwanese manufacturer highlighted deeper work with Nvidia as well, showcasing its compute trays for the chip designer’s cutting-edge Blackwell chips.
Speaking at the Friday event, Alexis Bjorlin, vice president and general manager of Nvidia’s DGX Cloud unit, said the partners would work on deploying advanced AI infrastructure much faster to meet customer demand.
Despite Nvidia’s results showing that demand for AI hardware remains strong, concerns persist in the market about a potential AI bubble and the sustainability of heavy AI spending.
Speaking to CNBC’s Emily Chan on the sidelines of Hon Hai Tech Day, Foxconn Chairman Young Liu expressed confidence that the company would be protected from a potential AI bubble.
“No matter what [AI] models or [AI] model players will win, they all need hardware, and no matter what GPU player will win, they all need system and component suppliers to support them,” he said.
The logo of Japanese company SoftBank Group is seen outside the company’s headquarters in Tokyo on January 22, 2025.
Kazuhiro Nogi | Afp | Getty Images
A sector-wide pullback hit Asian chip stocks Friday, led by a steep decline in SoftBank, after Nvidia‘s sharp drop overnight defied its stronger-than-expected earnings and bullish outlook.
SoftBank plunged more than 10% in Tokyo. The Japanese tech conglomerate recently offloaded its Nvidia shares but still controls British semiconductor company Arm, which supplies Nvidia with chip architecture and designs.
SoftBank is also involved in a number of AI ventures that use Nvidia’s technology, including the $500 billion Stargate project for data centers in the U.S.
South Korea’s SK Hynix fell nearly 10%. The memory chip maker is Nvidia’s top supplier of high-bandwidth memory used in AI applications. Samsung Electronics, a rival that also supplies Nvidia with memory, fell over 5%.
Taiwan’s Hon Hai Precision Industry, also known as Foxconn, which manufactures server racks designed for AI workloads, dipped 4%.
The retreat in major Asian semiconductor giants comes after Nvidia fell over 3% in the U.S. on Thursday, despite beating Wall Street expectations in its third-quarter earnings the night before.
The company also provided stronger-than-expected fourth-quarter sales guidance, which analysts said could lift earnings expectations across the sector.
However, smaller chip players in Asia were not spared either.
In Tokyo, Renesas Electronics, a key Nvidia supplier, fell 2.3%. Tokyo Electron, which provides essential chipmaking equipment to foundries that manufacture Nvidia’s chips, was down 5.32%.
Another Japanese chip equipment maker, Lasertec, was down over 3.5%.