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How AI makes me a more human business leader: CEO

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A couple of weeks ago, Fortune reported that nearly half of tech executives are already deploying agentic AI in the workplace. When I read that, my first reaction was: What’s the other half waiting for? In an era where generative AI and autonomous agents are rapidly redefining how work gets done, hesitation is the new risk.

Salesforce’s Andy Valenzuela recently said, “Every job should be rethought.” I agree, and I’d start with my own.

For more than two decades, I’ve led teams through waves of transformation. At Google, scaling operations across Canada; at Evernote, steering a turnaround; at Glean, helping launch an AI-native workplace assistant; and now, at GrowthLoop, navigating the next wave of AI-driven marketing. Each role has been shaped by intense velocity, evolving technology, and relentless expectations. But none have reshaped how I lead more than what’s happening now with AI.

I once believed that effective leadership meant mastering the whirlwind: moving fast, switching contexts, and staying ahead of everything. Urgency, decisiveness, omniscience: These were the traits I clung to. But over the past year, something unexpected happened. As AI agents began integrating into my daily rhythm, not just as tools, but as collaborators, I found myself letting go of things I once saw as essential. In doing so, I uncovered space to lead.

This isn’t an essay about AI replacing people. It’s about how AI has helped me become more present, thoughtful, and yes—human—in how I lead.

The hustle era of leadership

Five or 10 years ago, I would’ve described great leadership in terms of output. Was I decisive? Responsive? Could I outwork everyone else?

On a typical day, I juggled 10 meetings, 30 Slack threads, and a to-do list that spilled into the weekend. Every moment was triage. I wore my busyness like a badge of honor. In retrospect, it wasn’t leadership. It was survival. I was reacting more than reflecting, which was efficient, but felt more robotic than human, if I’m being honest.

And then something shifted.

My inflection point with AI

Like many leaders, I started using AI for speed: summarizing dense reports, drafting emails, and synthesizing customer research. Initially, these were just practical shortcuts. But I quickly realized it was doing something else entirely: clearing the mental clutter.

When an AI agent condensed a 260-page trend report into digestible bullet points, I saved time and mental energy. When I used AI to personalize outreach to Fortune 500 contacts, it wasn’t just faster, it was more genuine because I had the time and capacity to be intentional with my tailored approach and think of something specific that might be of value to the person I was reaching out to.

That extra capacity is everything. I found myself doing things I’d put off for months: mentoring a team member, thinking deeply about product vision, and writing company updates that didn’t sound like an HR bot wrote them.

Scaling output and impact

Today, 60% to 70% of my day involves AI agents. I’ve offloaded status updates, document analysis, and first-pass messaging to machines. In return, I’ve reclaimed something I didn’t know I’d lost: space.

Space to think. To coach. To lead.

Instead of obsessing over every outreach detail or brute-forcing personalization, I rely on agents to surface relevance—pulling recent customer activity, key project updates, even internal sentiment—all before I ask. That shift has made me more thoughtful, more focused, and, unexpectedly, more available.

A teammate at GrowthLoop recently said, “You’re asking bigger questions, not just quicker ones.” That comment stuck with me. It captured what I’d been feeling but hadn’t articulated: I was showing up differently. I wasn’t in a reactive mode, but in a reflective mode.

That’s the real power of AI. Not what it removes, but what it restores. Yes, it lightens the load. But it also shifts the leadership posture from strained to strategic, and from scattered to present.

The human return on automation

The real ROI of AI isn’t just measured in saved hours. It’s measured in sharper thinking, richer conversations, and better decisions.

Recently, I sent a personalized outreach note to a high-profile contact—a former editor who once played hockey with a famous politician. An AI agent helped me craft a message that recalled that specific anecdote about the hockey match in a way that felt real and relevant. I never would’ve pulled that off in the middle of my usual whirlwind. But that’s where relationships, and opportunities, begin.

Rethinking leadership

We spend a lot of time debating which jobs AI will change or eliminate. But what about the job of leading? That role needs to be reimagined, too.

Old-school leadership was about control, predictability, and long-term plans. But control is an illusion, and long-term plans are probabilistic at best. AI moves faster than long-term planning. So must we.

That means leaders need to shift from directing to designing; from command-and-control to context-and-coach. In practice, that means you stop trying to dictate every decision and instead focus on creating the right environment for your team to thrive. You don’t need to have all the answers, but you do need to build systems, processes, and cultural norms that help your teams make good decisions without constant oversight.

Soon, every employee will manage a fleet of AI agents. In a sense, that turns every employee into a leader responsible for setting clear goals, providing good feedback, and delegating well to drive outcomes through these tools. Our role as executives is to equip them for that reality. That starts now: invest in training, set clear decision-making principles, and redesign workflows to integrate AI effectively. The sooner we create those conditions, the faster our teams (and their AI counterparts) will deliver at scale.

A call to reimagine, not retreat

If you’re a founder or exec still trying to control everything, my advice is simple: stop. You can’t scale yourself. But you can scale your impact if you embrace AI, the power of your team, and your own humanity.

Start small. Pick one task you dread, like status updates, research, or inbox triage, and hand it off to an agent. Then take the time you’ve reclaimed to do something no machine can: Give a teammate honest feedback, listen to a frustrated customer, or write a thank-you note.

Those are the moments where leadership lives. AI can’t replace them, but it can help make room for them.

So yes, I believe every job should be rethought. But let’s begin with ours.

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.

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Senate Dems’ plan to fix Obamacare premiums adds nearly $300 billion to deficit, CRFB says

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The Committee for a Responsible Federal Budget (CRFB) is a nonpartisan watchdog that regularly estimates how much the U.S. Congress is adding to the $38 trillion national debt.

With enhanced Affordable Care Act (ACA) subsidies due to expire within days, some Senate Democrats are scrambling to protect millions of Americans from getting the unpleasant holiday gift of spiking health insurance premiums. The CRFB says there’s just one problem with the plan: It’s not funded.

“With the national debt as large as the economy and interest payments costing $1 trillion annually, it is absurd to suggest adding hundreds of billions more to the debt,” CRFB President Maya MacGuineas wrote in a statement on Friday afternoon.

The proposal, backed by members of the Senate Democratic caucus, would fully extend the enhanced ACA subsidies for three years, from 2026 through 2028, with no additional income limits on who can qualify. Those subsidies, originally boosted during the pandemic and later renewed, were designed to lower premiums and prevent coverage losses for middle‑ and lower‑income households purchasing insurance on the ACA exchanges.

CRFB estimated that even this three‑year extension alone would add roughly $300 billion to federal deficits over the next decade, largely because the federal government would continue to shoulder a larger share of premium costs while enrollment and subsidy amounts remain elevated. If Congress ultimately moves to make the enhanced subsidies permanent—as many advocates have urged—the total cost could swell to nearly $550 billion in additional borrowing over the next decade.

Reversing recent guardrails

MacGuineas called the Senate bill “far worse than even a debt-financed extension” as it would roll back several “program integrity” measures that were enacted as part of a 2025 reconciliation law and were intended to tighten oversight of ACA subsidies. On top of that, it would be funded by borrowing even more. “This is a bad idea made worse,” MacGuineas added.

The watchdog group’s central critique is that the new Senate plan does not attempt to offset its costs through spending cuts or new revenue and, in their view, goes beyond a simple extension by expanding the underlying subsidy structure.

The legislation would permanently repeal restrictions that eliminated subsidies for certain groups enrolling during special enrollment periods and would scrap rules requiring full repayment of excess advance subsidies and stricter verification of eligibility and tax reconciliation. The bill would also nullify portions of a 2025 federal regulation that loosened limits on the actuarial value of exchange plans and altered how subsidies are calculated, effectively reshaping how generous plans can be and how federal support is determined. CRFB warned these reversals would increase costs further while weakening safeguards designed to reduce misuse and error in the subsidy system.

MacGuineas said that any subsidy extension should be paired with broader reforms to curb health spending and reduce overall borrowing. In her view, lawmakers are missing a chance to redesign ACA support in a way that lowers premiums while also improving the long‑term budget outlook.

The debate over ACA subsidies recently contributed to a government funding standoff, and CRFB argued that the new Senate bill reflects a political compromise that prioritizes short‑term relief over long‑term fiscal responsibility.

“After a pointless government shutdown over this issue, it is beyond disappointing that this is the preferred solution to such an important issue,” MacGuineas wrote.

The off-year elections cast the government shutdown and cost-of-living arguments in a different light. Democrats made stunning gains and almost flipped a deep-red district in Tennessee as politicians from the far left and center coalesced around “affordability.”

Senate Minority Leader Chuck Schumer is reportedly smelling blood in the water and doubling down on the theme heading into the pivotal midterm elections of 2026. President Donald Trump is scheduled to visit Pennsylvania soon to discuss pocketbook anxieties. But he is repeating predecessor Joe Biden’s habit of dismissing inflation, despite widespread evidence to the contrary.

“We fixed inflation, and we fixed almost everything,” Trump said in a Tuesday cabinet meeting, in which he also dismissed affordability as a “hoax” pushed by Democrats.​

Lawmakers on both sides of the aisle now face a politically fraught choice: allow premiums to jump sharply—including in swing states like Pennsylvania where ACA enrollees face double‑digit increases—or pass an expensive subsidy extension that would, as CRFB calculates, explode the deficit without addressing underlying health care costs.



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Netflix–Warner Bros. deal sets up $72 billion antitrust test

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Netflix Inc. has won the heated takeover battle for Warner Bros. Discovery Inc. Now it must convince global antitrust regulators that the deal won’t give it an illegal advantage in the streaming market. 

The $72 billion tie-up joins the world’s dominant paid streaming service with one of Hollywood’s most iconic movie studios. It would reshape the market for online video content by combining the No. 1 streaming player with the No. 4 service HBO Max and its blockbuster hits such as Game Of ThronesFriends, and the DC Universe comics characters franchise.  

That could raise red flags for global antitrust regulators over concerns that Netflix would have too much control over the streaming market. The company faces a lengthy Justice Department review and a possible US lawsuit seeking to block the deal if it doesn’t adopt some remedies to get it cleared, analysts said.

“Netflix will have an uphill climb unless it agrees to divest HBO Max as well as additional behavioral commitments — particularly on licensing content,” said Bloomberg Intelligence analyst Jennifer Rie. “The streaming overlap is significant,” she added, saying the argument that “the market should be viewed more broadly is a tough one to win.”

By choosing Netflix, Warner Bros. has jilted another bidder, Paramount Skydance Corp., a move that risks touching off a political battle in Washington. Paramount is backed by the world’s second-richest man, Larry Ellison, and his son, David Ellison, and the company has touted their longstanding close ties to President Donald Trump. Their acquisition of Paramount, which closed in August, has won public praise from Trump. 

Comcast Corp. also made a bid for Warner Bros., looking to merge it with its NBCUniversal division.

The Justice Department’s antitrust division, which would review the transaction in the US, could argue that the deal is illegal on its face because the combined market share would put Netflix well over a 30% threshold.

The White House, the Justice Department and Comcast didn’t immediately respond to requests for comment. 

US lawmakers from both parties, including Republican Representative Darrell Issa and Democratic Senator Elizabeth Warren have already faulted the transaction — which would create a global streaming giant with 450 million users — as harmful to consumers.

“This deal looks like an anti-monopoly nightmare,” Warren said after the Netflix announcement. Utah Senator Mike Lee, a Republican, said in a social media post earlier this week that a Warner Bros.-Netflix tie-up would raise more serious competition questions “than any transaction I’ve seen in about a decade.”

European Union regulators are also likely to subject the Netflix proposal to an intensive review amid pressure from legislators. In the UK, the deal has already drawn scrutiny before the announcement, with House of Lords member Baroness Luciana Berger pressing the government on how the transaction would impact competition and consumer prices.

The combined company could raise prices and broadly impact “culture, film, cinemas and theater releases,”said Andreas Schwab, a leading member of the European Parliament on competition issues, after the announcement.

Paramount has sought to frame the Netflix deal as a non-starter. “The simple truth is that a deal with Netflix as the buyer likely will never close, due to antitrust and regulatory challenges in the United States and in most jurisdictions abroad,” Paramount’s antitrust lawyers wrote to their counterparts at Warner Bros. on Dec. 1.

Appealing directly to Trump could help Netflix avoid intense antitrust scrutiny, New Street Research’s Blair Levin wrote in a note on Friday. Levin said it’s possible that Trump could come to see the benefit of switching from a pro-Paramount position to a pro-Netflix position. “And if he does so, we believe the DOJ will follow suit,” Levin wrote.

Netflix co-Chief Executive Officer Ted Sarandos had dinner with Trump at the president’s Mar-a-Lago resort in Florida last December, a move other CEOs made after the election in order to win over the administration. In a call with investors Friday morning, Sarandos said that he’s “highly confident in the regulatory process,” contending the deal favors consumers, workers and innovation. 

“Our plans here are to work really closely with all the appropriate governments and regulators, but really confident that we’re going to get all the necessary approvals that we need,” he said.

Netflix will likely argue to regulators that other video services such as Google’s YouTube and ByteDance Ltd.’s TikTok should be included in any analysis of the market, which would dramatically shrink the company’s perceived dominance.

The US Federal Communications Commission, which regulates the transfer of broadcast-TV licenses, isn’t expected to play a role in the deal, as neither hold such licenses. Warner Bros. plans to spin off its cable TV division, which includes channels such as CNN, TBS and TNT, before the sale.

Even if antitrust reviews just focus on streaming, Netflix believes it will ultimately prevail, pointing to Amazon.com Inc.’s Prime and Walt Disney Co. as other major competitors, according to people familiar with the company’s thinking. 

Netflix is expected to argue that more than 75% of HBO Max subscribers already subscribe to Netflix, making them complementary offerings rather than competitors, said the people, who asked not to be named discussing confidential deliberations. The company is expected to make the case that reducing its content costs through owning Warner Bros., eliminating redundant back-end technology and bundling Netflix with Max will yield lower prices.



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The rise of AI reasoning models comes with a big energy tradeoff

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Nearly all leading artificial intelligence developers are focused on building AI models that mimic the way humans reason, but new research shows these cutting-edge systems can be far more energy intensive, adding to concerns about AI’s strain on power grids.

AI reasoning models used 30 times more power on average to respond to 1,000 written prompts than alternatives without this reasoning capability or which had it disabled, according to a study released Thursday. The work was carried out by the AI Energy Score project, led by Hugging Face research scientist Sasha Luccioni and Salesforce Inc. head of AI sustainability Boris Gamazaychikov.

The researchers evaluated 40 open, freely available AI models, including software from OpenAI, Alphabet Inc.’s Google and Microsoft Corp. Some models were found to have a much wider disparity in energy consumption, including one from Chinese upstart DeepSeek. A slimmed-down version of DeepSeek’s R1 model used just 50 watt hours to respond to the prompts when reasoning was turned off, or about as much power as is needed to run a 50 watt lightbulb for an hour. With the reasoning feature enabled, the same model required 7,626 watt hours to complete the tasks.

The soaring energy needs of AI have increasingly come under scrutiny. As tech companies race to build more and bigger data centers to support AI, industry watchers have raised concerns about straining power grids and raising energy costs for consumers. A Bloomberg investigation in September found that wholesale electricity prices rose as much as 267% over the past five years in areas near data centers. There are also environmental drawbacks, as Microsoft, Google and Amazon.com Inc. have previously acknowledged the data center buildout could complicate their long-term climate objectives

More than a year ago, OpenAI released its first reasoning model, called o1. Where its prior software replied almost instantly to queries, o1 spent more time computing an answer before responding. Many other AI companies have since released similar systems, with the goal of solving more complex multistep problems for fields like science, math and coding.

Though reasoning systems have quickly become the industry norm for carrying out more complicated tasks, there has been little research into their energy demands. Much of the increase in power consumption is due to reasoning models generating much more text when responding, the researchers said. 

The new report aims to better understand how AI energy needs are evolving, Luccioni said. She also hopes it helps people better understand that there are different types of AI models suited to different actions. Not every query requires tapping the most computationally intensive AI reasoning systems.

“We should be smarter about the way that we use AI,” Luccioni said. “Choosing the right model for the right task is important.”

To test the difference in power use, the researchers ran all the models on the same computer hardware. They used the same prompts for each, ranging from simple questions — such as asking which team won the Super Bowl in a particular year — to more complex math problems. They also used a software tool called CodeCarbon to track how much energy was being consumed in real time.

The results varied considerably. The researchers found one of Microsoft’s Phi 4 reasoning models used 9,462 watt hours with reasoning turned on, compared with about 18 watt hours with it off. OpenAI’s largest gpt-oss model, meanwhile, had a less stark difference. It used 8,504 watt hours with reasoning on the most computationally intensive “high” setting and 5,313 watt hours with the setting turned down to “low.” 

OpenAI, Microsoft, Google and DeepSeek did not immediately respond to a request for comment.

Google released internal research in August that estimated the median text prompt for its Gemini AI service used 0.24 watt-hours of energy, roughly equal to watching TV for less than nine seconds. Google said that figure was “substantially lower than many public estimates.” 

Much of the discussion about AI power consumption has focused on large-scale facilities set up to train artificial intelligence systems. Increasingly, however, tech firms are shifting more resources to inference, or the process of running AI systems after they’ve been trained. The push toward reasoning models is a big piece of that as these systems are more reliant on inference.

Recently, some tech leaders have acknowledged that AI’s power draw needs to be reckoned with. Microsoft CEO Satya Nadella said the industry must earn the “social permission to consume energy” for AI data centers in a November interview. To do that, he argued tech must use AI to do good and foster broad economic growth.



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