A Fortune Most Powerful Woman, Posnett is one of the bank’s top dealmakers, also serving as vice chair of the Firmwide Client Franchise Committee and is a member of the Management Committee. She was previously the global head of the Technology, Media and Telecommunications, among several other executive roles, including Head of Investment Banking Services and OneGS. She talked to Fortune about how she sees the current business environment and the most significant developments in 2026, in terms of AI, the IPO market and M&A activity. Goldman has been the No. 1 M&A advisory globally for the last 20 years, including in 2025 — and Posnett has been one of the star contributors, advising companies including Amazon, Uber, eBay, Etsy, and X.

• Heading into Davos, how would you describe the current environment?  

As the global business community converges at Davos, we are seeing powerful catalysts driving M&A and capital markets activity. The foundational drivers that accelerated business activity in the second half of 2025 have continued to improve and remain strong heading into 2026. A constructive macro backdrop — including AI serving as a growth catalyst across sectors and geographies — is fueling CEO and board confidence, and our clients are looking to drive strategic and financing activity focused on scale, growth and innovation. As AI moves from theoretical catalyst to an industrial driver, it is creating a new set of priorities for the boardroom that are top of mind for every client we serve heading into 2026.

• What were the most significant AI developments in 2025, and what should we expect in 2026?

2025 was a breakout year for AI where we exited the era of AI experimentation and entered the era of AI industrialization. We witnessed major technical and structural breakthroughs across models, agents, infrastructure and governance. It was only a year ago, in January 2025, when DeepSeek launched its DeepSeek-R1 reasoning model challenging the “moats” of closed-source models by proving that world-class reasoning could be achieved with fully open-source models and radical cost efficiency. That same month, Stargate – a historic $500 billion public-private joint venture including OpenAI, SoftBank and Oracle – signaled the start of the “gigawatt era” of AI infrastructure. Just two months later in March 2025, xAI’s acquisition of X signaled a new strategy where social platforms could function as massive real-time data engines for model training. By year end, we saw massive, near-simultaneous escalation in model capabilities with the launches of OpenAI’s GPT-5.1 Pro, Google’s Gemini 3, and Anthropic’s Claude 4.5, all improving deep thinking and reasoning, pushing the boundaries of multimodality, and setting the standard for autonomous agentic workflows. 

In the enterprise, the conversation has matured from “What is AI?” just a few years ago to “How fast can we deploy?” We have moved past the pilot phase into a period of deep structural transformation. For companies around the world, AI is fundamentally reshaping how work gets done. AI is no longer just a feature; it is the foundation of a new kind of productivity and operating leverage. Forward-leaning companies are no longer just using AI for automation; they are building agentic workflows that act as a force multiplier for their most valuable asset: human capital. We are starting to see the first real, measurable returns on investment as firms move from ‘AI-assisted’ tasks to ‘AI-led’ processes, fundamentally shifting the cost and speed of execution across organizations. 

Of course, all this progress is not without regulatory and policy complexities. As AI reaches consumer, enterprise and sovereign scale, we are seeing a divergence in global policy that boards must navigate with care. In the United States, recent Executive Orders — such as the January 2025 ‘Removing Barriers’ order and the subsequent ‘Genesis Mission’ — have signaled a decisive shift toward prioritizing American AI dominance by rolling back prior reporting requirements and accelerating infrastructure buildouts. Contrast this with the European Union, where the EU AI Act is now in full effect, imposing strict guardrails on ‘high-risk’ systems and general-purpose models. Meanwhile, the UK has adopted a “pro-innovation” hybrid model: on the one hand, promoting “safety as a service”, while also investing billions into national compute and ‘AI Growth Zones’ to bridge the gap between innovation and public trust. For our clients, the challenge is no longer just regulatory compliance; it is strategic planning and arbitrage – deciding where to build, where to deploy, who to partner with, what to buy and how to maintain a global edge across a fragmented regulatory landscape.

As we enter 2026, the pace of innovation isn’t just accelerating; it is forcing a total rethink of business processes and capital allocation for every global enterprise. 

• Given the expectation and anticipation for IPOs this year, what is your outlook for the market and how will it be characterized?

We are entering an IPO “mega-cycle” that we expect will be defined by unprecedented deal volume and IPO sizes. Unlike the dot-com wave of the late 1990s, which saw hundreds of small-cap listings, or even the 2020-2021 surge driven by a significant number of billion-dollar IPOs, this next IPO cycle will have greater volume and the largest deals the market has ever seen. It will be characterized by the public debut of institutionally mature titans, as well as totally disruptive, fast moving and capital consumptive innovators. Over the last decade, some companies have stayed private longer and raised unprecedented amounts of private capital, allowing a cohort of businesses to reach valuations and operational scale previously unseen in the private markets. We are no longer talking about “unicorns” — we are talking about global companies with the gravity and scale of Fortune 500 incumbents at the time they go public.  For investors, the reopening of the IPO window will enable an opportunity to invest in the most transformative and fastest growing companies in the world and a generational re-weighting of the public indices. 

In 2018, the five largest public tech companies were collectively valued at $3.3 trillion, led by Apple at ~$1 trillion. Today, the five largest public tech companies are valued at $18.3 trillion, more than five and half times larger.  Even more significant, the 10 largest private tech companies in 2018 were valued at $300 billion. Today, the 10 largest private tech companies are valued at $3 trillion, more than 10 times larger. These are iconic, generational companies with unprecedented private market caps some of which have unprecedented capital needs which should lead to an unprecedented IPO market. 

Each of these companies will have their own objectives on IPO timing, size and structure which will influence if, how and when they come to the market, but the potential across the board is significant. During the last IPO wave, Goldman Sachs was at the center of IPO innovation by leading the first direct listings and auction IPOs, and we expect more innovation with this upcoming wave. The current confluence of a constructive macro backdrop and groundbreaking technological advancements is doing more than just reopening the window; it is creating a generational opportunity for investors to participate in the companies that will define the next century of global business.

• M&A activity exploded in 2025, are the markers there for another boom year?

As we enter 2026, the global M&A market has transitioned from a year of recovery ($5.1 trillion of M&A volume in 2025, up 44% YoY) to one that is bold and strategic. While the second half of 2025 was defined by a “thawing” — driven by a constructive regulatory environment, fed easing cycle and normalizing valuations — the year ahead will be defined by ambition. 

We have entered an era of broad, bold and ambitious strategic dealmaking: transformative, high-conviction transactions where industry leaders are no longer just consolidating for scale, but also moving aggressively to acquire the strategic assets, AI capabilities and digital infrastructure that will define the next decade. CEO and board confidence have reached a multi-year high, underpinned by the realization that in an AI-industrialized economy, standing still is the greatest risk of all. The quality and pace of strategic discussions that we are having with our clients signals that the world’s most influential companies — across sectors and regions — are ready to deploy their balance sheets and public currencies to redraw the competitive map. 

AI is no longer an isolated tech trend; it is a horizontal disrupter, broadening the appetite for strategic M&A across every sector of the economy. While the dialogue in boardrooms has moved from theoretical ‘AI pilots’ to large-scale capital deployment, the speed of technology is currently outpacing traditional governance frameworks. Boards and management teams are being asked to make multi-billion dollar, high-stakes decisions in a landscape where historical benchmarks often no longer apply. In this environment, M&A has become a tool for strategic leapfrogging — allowing companies to move both defensively to protect their core and offensively to secure the critical infrastructure and talent needed for non-linear growth. Success in 2026 will be defined by strategic conviction: the ability to turn this unprecedented complexity into a clear, actionable strategy and competitive advantage.

As AI continues to reshape corporate M&A strategy, we are also seeing financial sponsors return to the center of the M&A stage. Sponsor M&A activity accelerated sharply in 2025 — with M&A volumes surging over 50% as the bid-ask spread between buyers and sellers started to narrow, financing markets became more constructive and innovative deal structures enabled private equity firms to pursue larger, more complex transactions. With $1 trillion of global sponsor dry powder and over $4 trillion of unmonetized sponsor portfolio companies, the pressure for capital return to LPs has continued to escalate. Financial sponsors are entering 2026 with a dual-focus: executing take-privates and strategic carveouts to deploy fresh capital, while simultaneously utilizing reopened monetization paths – from IPOs to secondary sales to strategic sales — to satisfy demand for liquidity. With monetization paths reopening and valuation gaps narrowing, sponsors are entering 2026 with greater flexibility, reinforced by a healthier macroeconomic backdrop and improving liquidity conditions. 

This Q&A is based on an email conversation with Kim Posnett. This piece has been edited for length and clarity.

“What we created here since I took over as CEO is a completely revamped way of hiring our veterans and military spouses,” the company’s CEO, Juan C. Andrade, tells Fortune. “This is not just for the benefit of USAA—this is for the benefit of the military community.”

USAA launched its “Honor Through Action” program in 2025, committing half a billion dollars over the next five years to improve the careers, financial security, and well-being of its customers—many of whom are active military, veterans, or related to them. It’s the brainchild of Andrade, who stepped into the company’s top role in April last year. As someone who also left a longstanding career in the federal government, he understands the growing pains that come with an intimidating career pivot. And for thousands of USAA members, the situation is dire. 

Around half of veterans ditch their initial post-military jobs within the first year, according to the Department of Defense’s Transition Assistance Program, and USAA’s CEO believes a lack of thoughtful transition services is largely to blame. When colonels, generals, and sergeants leave behind their high-powered jobs, Andrade says some struggle to adapt both emotionally and skills-wise.

While businesses are required to re-employ former employees who return from military duty per U.S. federal law, those stepping into civilian roles for the first time often need a helping hand. And even before they exit the military, the careers of their partners tend to suffer. 

The jobless rate of military spouses has hovered around 22% over the past decade, according to Hiring Our Heroes. That’s more than four times higher than the 4.6% nationwide unemployment rate. When their partners need to relocate for a new duty assignment, spouses are 136% more likely to be unemployed within six months, according to a 2024 Defense Department survey.

This trend of low job retention among veterans and spouse joblessness can be detrimental to the financial and professional livelihoods of American military families. So Andrade is leading the charge to get them on payroll. Corporations like JPMorgan have ramped up ex-military resources, and services like Armed Forces YMCA have long been assisting veterans; But USAA’s CEO says the issue needs a more targeted approach.

“While there’s a lot of organizations that are very well-meaning and do some very good work, the approach has been fragmented,” Andrade explains. “The problem with private sector companies is [if they] have not had that experience of service, or if they don’t have a large population of employees that serve, it’s very difficult to understand the fact that they’ve lost their tribe. The fact that, in a lot of ways, they’ve lost their sense of belonging to something greater than self.”

USAA’s $500 million plan and new fellowship pathways

USAA already has several veteran employment initiatives on the docket this year. This March, the company tells Fortune it will host a nationwide U.S. Chamber of Commerce Foundation program, Hiring our Heroes, in San Antonio to connect on the issue. And in the coming months, USAA will host events with nonprofit and HR association SHRM to brainstorm the best ways to improve military hiring in the U.S.

In stride with Honor Through Action, USAA also launched two 18-month fellowship programs designed to transition military personnel into full-time company positions: Summit and Signal. In three six-month rotations, participants cycle through different parts of the financial services giant to find the best fit. The future leadership track, Summit, rotates fellows through departments including business strategy, operational planning, and product ownership. Starting anew can be isolating, so USAA is ensuring that military personnel are not walking these career paths alone—veterans are connected to mentors every step of the way.

“Those 18 months are incredibly important, because it goes to show you: What is it that you can do? How does a private company actually work? What is it that you do on a daily basis?” Andrade says. “They get one-on-one mentorship and support every step of the way with people that have already walked in their shoes and been successful, so all of that helps.”

And just like what other companies are looking for in white-collar talent, USAA places a special emphasis on AI-savvy workers. That’s where the Signal fellowship comes into play: the pathway targets applicants with tech know-how, cycling them between assignments including technical solutions and data processing. The CEO notes that the military community is teeming with tech skills, and some already come with prior training from U.S. Cyber Command roles. Aside from getting ex-military members back into work, Signal is also proving to be extremely beneficial for the business itself. 

“We’re always looking for people who have the expertise and skill sets in data science or data engineering,” Andrade continues. “As they retire from the Air Force, the Army, the Navy, we bring them into a specialized program focused on their skills and how they can help us from technology experience.”

Serving an overlooked population: veteran spouses struggling with joblessness

Even when they’re not deployed, U.S. military personnel are battling wars at home—depression, financial insecurity, and homelessness. But one group is often ignored in the fight: their spouses. The husbands and wives of military personnel face sky-high unemployment rates and long-term instability due to the nature of their partners’ jobs. But Andrade recognizes them as an overlooked and underutilized pool of professionals.

“Military spouses are an incredible source of talent—they’re literally the CFO and the CEO of their home,” USAA’s CEO says. “When their spouses are deployed, when there’s a permanent change of station for their spouse, they have to leave their job. And if they don’t have that flexibility, then you know that’s why the unemployment rate is so high.”

USAA is funneling its resources to get to the root of the issue; as part of the Honor Through Action initiative, the company tells Fortune it will host Military Spouse Advisory Councils in San Antonio this March. The mission is to help shape policy, programs, and resources to better serve the unique needs of military families. That same month, the business also plans to work with other organizations in funding Blue Star Families’ release of Military Spouse Employment Research with the aim of pinpointing actionable solutions to their raging unemployment. And reflecting internally, Andrade reports that USAA will continue to lead by example. 

“We can offer a lot of flexibility… Having that level of empathy and understanding becomes very critical,” he says. “This is where we hope—with Honor Through Action—to be able to help companies understand the value that [military spouses] have, but also why you need to treat them a little bit differently given their personal situation.”

At Pinterest, for instance, we’re deploying AI to flip the script on social media, using it to more aggressively promote user well being rather than the alternative formula of triggering engagement by enragement. I believe AI can benefit our 600 million users for years to come and at a fraction the cost that many associate with the technology.

You don’t need to be a company with the size and scale of a Silicon Valley juggernaut to unlock the enormous economic benefits and innovation that AI could deliver. In fact, I have long argued that AI can be far more democratized than it currently is, leading to an entirely new generation of entrepreneurial success stories.

To realize AI’s real potential, however, commonly held assumptions need to be challenged. This is the only way to address a widespread public trust problem that AI currently faces and create an AI ecosystem that leaves no one behind.

For starters, our fundamental view of access to essential tools must change. Although often viewed as a battle between the largest (and often costly) proprietary models, a community of accessible open-source models is thriving in 2026, leveling the playing field for entrepreneurs eager to usher in the next generation of innovation.. 

Additionally, creators and publishers are no longer powerless when it comes to protecting the value of their work from companies that attempt to use their information to train generative AI models. The Napster phase of AI needs to end – now is the time for a clear exchange of value that benefits content creators.

Finally, regulation can no longer be viewed as the enemy. Oversight protects users and provides an incentive for private companies to compete on safe and positive user experiences. 

Open Source: Blueprint for Next Batch of Big Companies  

To date, too much of the focus of AI is who is building the largest proprietary models. The race to build powerful models is profound, but the discussion needs to include far more emphasis on open source and its ability to spur innovation across the broad business community.  

Pinterest recently announced an important milestone that demonstrates the potential. In our quest to harness the power of AI, we were able to tap into available large-scale open-source models and achieve performance similar to proprietary models but at 90% less cost. This addresses the return-on-AI-investment headache that many CEOs are facing as they spend a fortune on off-the-shelf proprietary solutions that don’t yet offer commensurate savings. 

This is not a new phenomenon. For decades, open-source software has been an important accelerant to nascent industries. Many of today’s largest companies, including trillion-dollar market cap enterprises, wouldn’t exist if they had to rely on proprietary databases or operating systems. 

The next batch of world-changing companies should follow a similar blueprint. Otherwise, we risk seeing the proprietary software companies collect all the value and, as a result, stifle innovation and ultimately block AI’s long-term potential. 

• Ownership Matters – Ditching AI’s Napster Era

Social media platforms like Pinterest live and die by users’ willingness to share creative and original ideas. 

Thankfully, humans feed the internet with a trove of new information every day. That information is inspired and validated by a level of creativity, reasoning, and work ethic that even the most advanced generative AI models do not possess. 

This presents large language models with a daunting learning curve that cannot be addressed without real-time access to this torrent of fresh ideas. That access should not be unfettered. 

When AI disregards ownership, content creators are less inclined to share their work and the public discourse suffers. When AI respects ownership, these originators can thrive, and the public gets better information. 

Currently, AI’s approach has resembled the old Napster pirating model – where music could be downloaded by tens of millions of internet users at no cost – than the iTunes or Spotify model – where publishers get compensated every time their work is accessed. 

The good news is there are several frameworks emerging that solve this problem. One is Cloudflare’s new model that allows content creators to choose whether and how GenAI companies use their content. Cloudflare’s tool works as a pay-per-crawl service, distinguishing GenAI crawlers that take information without sending much traffic back to creators, from search crawlers, which actually drive traffic back to the original source. 

Supporting Regulation that Protects and Promotes

As hard as it is to believe, standard installation of seatbelts were once considered “bad for business” by carmakers. That changed when crash test ratings created an incentive to do the right thing. The same can happen with standards in tech that protect users and promote responsible innovation. 

If you spend much time playing with AI, you’ll understand the need for regulations to stop a race to the bottom currently influencing the industry. No company should allow chatbots to have sexually explicit conversations with children, for instance. People, meanwhile, should be protected from bad actors attempting to use AI to manipulate their images or other information.

The question is what does meaningful regulation look like?

The App Store Accountability Act is one example of where immediate progress could be made. By making the app store a one-stop shop for age verification and parental consent, we can create consistent protections from the very moment a device is first turned on. 

Additionally, Pinterest envisions a world where social media companies and AI companies are competing on their safety records. To do this, the industry will need baseline regulations that focus on outcomes and leave space for companies to innovate in how to exceed those basic expectations.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.