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How to know which AI tools are best for your business needs—with examples

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If you’re finding it tricky to navigate the ever-changing generative AI landscape, which shifts weekly as vendors compete to top leaderboards, you’re not alone. 

An AI training gap has emerged across the business world. According to one recent survey, two-thirds of leaders expect employees to have AI skills, but only a third of companies have clear policy on what technology to use—and how to use it.

While utilizing generative AI chatbots has a relatively low barrier to entry, figuring out the right model remains a challenge for people who have not studied their nuances. Here’s what you need to know about picking the right AI tools, such as ChatGPT, Claude, Gemini, Perplexity, and Copilot—and the underlying models that power them.

Learn more: Mastering AI at work: a practical guide to using ChatGPT, Gemini, Claude, and more

Speed date with AI

Today’s generative AI is still relatively new, and for this reason, there is an abundance of models on the market; no one company or model dominates. As a result, experimenting with a variety of tools is beneficial.

“Think of it like test driving a car,” Jules White, a computer-science professor at Vanderbilt University, told Fortune. “What is it like to drive on the highway, to park, how does the stereo work, how cushy is the seat, etc. I suggest doing the equivalent for models.”

For Maggie Vo, head of user education at Anthropic, that test drive should include consideration of three factors: task complexity, time sensitivity, and the need to refine your work. 

Something like writing a strategic plan might call for using the most capable model whereas a faster model might be most useful for reformatting data or quick summaries. If you’re planning to iterate multiple times, then use a combination: “Start with a smarter model to refine your approach, then use a smaller model to execute,” she said.

“The real skill is developing ‘Platform Awareness’—understanding not just different models but different AI systems entirely,” Vo added. “What works in Claude might need adjustment in other systems. Experiment across platforms to build intuition about their unique strengths.”

In practice, this can be as simple as typing the same prompt in different AI chatbots—as well as the models for each one (the option to change may be at top of the screen or close to the search bar)—and compare which tool gives the most helpful response.

Screenshot from Anthropic’s Claude

As Vo implied, as AI models have been developed, certain tasks are more easily completed with some AI models over others. The faster, typically free models, are usually best for simple chats—whereas the more advanced models may cost a fee and take more than a few moments to process, but will typically yield better results.

The best models, according to UPenn’s Ethan Mollick

Ethan Mollick, a professor at the University of Pennsylvania’s Wharton School—is one of the most widely-read experts on how to use AI models to help with business tasks. He is known for his prolific research and analysis on LinkedIn. According to a recent Substack post, his everyday AI use is focused within the products of OpenAI, Anthropic, and Google.

“With all (three) of the options, you get access to both advanced and fast models, a voice mode, the ability to see images and documents, the ability to execute code, good mobile apps, the ability to create images and video (Claude lacks here, however), and the ability to do Deep Research,” he wrote.

The ultimate challenge comes with deciding which model is best to use, he added. But like White, he connects it to selecting a vehicle: “Think of it like choosing between a sports car and a pickup truck; both are vehicles, but you’d use them for very different tasks.”

Mollick summarized the decision making into three categories: good for chats, good for work, and good for hard problems.

Good for chats

Claude 4 Sonnett, ChatGPT-4o, and Gemini 2.5 Flash are fast—and not as smart, according to Mollick. But as generally free AI products, they are the most widely accessible and can still make a difference in workplace efficiency.

Here are some examples of their capabilities:

  • Market and competitive analysis: “Compare OpenAI, Anthropic, and Google Gemini’s positioning in the enterprise AI space.”
  • Financial modeling and forecasting: “Create a three-year revenue forecast for a SaaS startup with 20% YoY growth and 75% gross margin.”
  • Content creation and editing: “Draft a LinkedIn post announcing a $10M Series A funding round that sounds confident but not boastful.”

Good for work 

Claude 4 Opus, ChatGPT o3, and Gemini 2.5 Pro are smarter, have lower error rates, but are slower, according to Mollick. They may still hallucinate, but tend to be more successful at coding, logic, or solving tougher problems that require multiple steps. Here’s an example of their capability: 

  • Market and competitive intelligence dashboards:

Who better to summarize AI’s priorities than AI itself? Here’s what the models had to say:

Prompt: “In one sentence, please describe your relative strengths. I am writing this in the context of other generative tools, including [Competitor] and [Competitor].”

OpenAI’s GPT-4o: “ChatGPT’s relative strength lies in its ability to generate highly polished, context-aware, and conversationally natural responses—particularly strong in editing, writing, and task-oriented problem-solving—while integrating tools like code execution and image analysis more seamlessly than Claude or Gemini.”

Anthropic’s Claude Sonnet 4: “I excel at nuanced reasoning, ethical decision-making, and producing well-structured, thoughtful responses while maintaining strong safety guardrails, though I’m generally more cautious and less willing to engage with borderline requests compared to some other AI assistants.”

Google’s Gemini 2.5 Flash: “Gemini excels in multimodal understanding and generation, seamlessly integrating text, code, images, and other data formats while leveraging real-time information from Google’s vast ecosystem to provide highly accurate and contextually rich responses.”

Some other examples include the ability to conduct customer-service automation & quality control as well as financial-scenario modeling & risk analysis. Mollick admitted he primarily uses the “Good for work” models, though he also has favorites for specific tasks outside of this list, like using GPT-4.5 when writing.

Good for hard problems

Claude 4 Opus extended thinking, ChatGPT-o3-pro, and Gemini 2.5 Pro are the most advanced AI models on the market, and for that reason, they remain slow and have limited use, Mollick added in his Substack post.

Here’s an example of a prompt that would push the limit of ChatGPT of, but ChatGPT-o3-pro might be best equipped to tackle:

“Below is the full text of a 180-page Phase III oncology trial dossier (including statistical appendices and 40 pages of adverse-event tables).

  • Extract every efficacy endpoint, its p-value, confidence interval, and sample size.
  • Re-compute the primary endpoint’s hazard ratio from the raw survival-curve data provided in Appendix C, flagging any inconsistencies with the sponsor’s reported figure.
  • Summarize all Grade 3–4 adverse events, grouped by organ system, and calculate their absolute-risk increase versus control.
  • Draft a 500-word briefing for the FDA that:
  • Identifies any statistical or methodological red flags.
  • Assesses whether the benefit–risk profile justifies accelerated approval.
  • Proposes two post-marketing study designs to validate long-term safety.”

Other models

No matter what model or AI company used, it’s always important to double check the AI for errors or hallucinations. Accuracy is the priority of Perplexity, according to Jesse Dwyer, head of communications at the AI company.

“Perplexity’s sole focus is accurate, trustworthy AI—we use all top models and post-train them for accuracy,” Dwyer said. “Models that have been trained to experience some hallucination are helpful if you want videos of high-diving cats, but they can be dangerous when you are making business or financial decisions.”

Copilot is also a widely used AI chatbot, thanks to its integration with Microsoft products, but it can be difficult to switch between models. DeepSeek r1 and Grok by Elon Musk’s xAI also are options on the market, but, according to Mollick, each have missing features.

Mollick did not respond to Fortune’s request for comment.

The takeaway: Practice makes perfect

While there remains no perfect method for using AI in the workplace, the most effective ways to remain on top of your game is exploration and education—and that starts with simply using them.

“The difference between casual users and power users isn’t prompting skill (that comes with experience); it’s knowing these features exist and using them on real work,” Mollick wrote.

And because many business leaders, including CEOs, have already begun using AI, Dwyer suggested trying to emulate how they are using it in their work.

“AI is one of the first business tools adopted first by managers instead of frontline workers,” he told Fortune. “It makes sense that leaders with experience getting the best work from their teams and software tools will be naturally prepared to work with AI.”



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Netflix’s $5.8 billion breakup fee for Warner among largest ever

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Netflix Inc.’s $72 billion acquisition of Warner Bros. Discovery Inc. includes one of the biggest breakup fees of all time — a $5.8 billion penalty that Netflix has agreed to pay its target if the deal falls apart or fails to win regulatory approval.

At 8% of the deal’s equity value, the fee is well above the average even in big-ticket dealmaking, signaling Netflix executives’ confidence they can convince global antitrust watchdogs to let the transaction go ahead. The average breakup fee in 2024 was equal to about 2.4% of the total transaction value, according to a report from Houlihan Lokey.

Netflix’s multibillion-dollar pledge is also a sign of how heated the bidding war got for control of the iconic Hollywood studio. As part of a sweetened proposal earlier this week, rival suitor Paramount Skydance Corp. had more than doubled the proposed breakup fee in its offer to $5 billion.

Warner Bros., meanwhile, would have to pay a $2.8 billion reverse breakup fee if its shareholders vote down the deal. If Warner Bros. were to accept a rival offer, the new buyer, in effect, would be on the hook for that fee.

Here are some of the biggest breakup fees in M&A history, according to data compiled by Bloomberg:

AOL/Time Warner Inc.

Deal value: $160 billion 

America Online Inc. agreed to pay a fee of about $5.4 billion if it backed out of its agreement to buy Time Warner Inc. Time Warner would pay about $3.9 billion if it broke up the transaction under certain conditions.

Percentage of deal value: 3.4%

Outcome: Completed

Pfizer/Allergan

Deal value: $160 billion

The breakup fee could have been as high as $3.5 billion, but the merger had a contingency that it would be lower if there were changes to tax law. Pfizer ended up paying just $150 million after the US cracked down on corporate tax inversions 

Percentage of deal value: 2.2% (but paid less than 0.1%)

Outcome: Terminated

Verizon/Verizon Wireless

Deal Value: $130 billion

Breakup Fee: This deal for Vodafone’s stake in Verizon Wireless was complicated. Verizon promised to pay a breakup fee to Vodafone of $10 billion if it couldn’t get financing for the deal, or $4.64 billion if its board changed its recommendation to shareholders to vote in favor of the transaction. Meanwhile, Vodafone would have owed $1.55 billion to Verizon if its board changed its mind, and either side would have had to pay $1.55 billion to the other if shareholders turned down the transaction. Vodafone also would have had to pay that $1.55 billion if an unfavorable tax ruling made it too onerous to complete the deal. 

Percentage of deal value: 7.7%

Outcome: Deal completed

AB InBev/SAB Miller

Deal value: $103 billion

Breakup fee: AB InBev agreed to pay a breakup fee of $3 billion if it failed to get approval from regulators or shareholders and instead walked away from what was then the biggest corporate takeover in UK history. 

Percentage of deal value: 2.9% 

Outcome: Completed

AT&T/T-Mobile USA

Deal Value: $39 billion 

Breakup fee: AT&T agreed to pay Deutsche Telekom a $3 billion breakup fee in cash, as well as transferring radio spectrum to T-Mobile and striking a more favorable network-sharing agreement. 

Percentage of deal value: 7.7%

Outcome: Withdrawn after regulatory opposition

Google/Wiz

Deal value: $32 billion

The companies agreed that Google would pay a breakup fee of about $3.2 billion — a huge chunk of the transaction value — if the deal didn’t close.

Percentage of deal value: 10% 

Outcome: Completed



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A Thanksgiving dealmaking sprint helped Netflix win Warner Bros.

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The Netflix Inc. plans that clinched the deal for Warner Bros. Discovery Inc. started to shape up around Thanksgiving. 

deadline was looming: Warner Bros. had asked bidders, which also included Paramount Skydance Corp. and Comcast Corp., to have their latest proposals and contracts in by the Monday after the holiday, following a round about a week earlier. The suitors were told to put their best foot forward.

While most Americans were watching football and feasting on turkey, Netflix executives and advisers hunkered down to finalize a binding offer and a $59 billion bridge loan from banks, one of the biggest of its kind. That gave the streaming company the ammunition to make a mostly cash-and-stock bid that helped it prevail over Comcast and David Ellison’s Paramount, according to people familiar with the matter.

The resulting $72 billion deal, announced Friday, is set to bring about a seismic shift in the entertainment business — if it can survive intense regulatory scrutiny and a potential fight from Paramount. This account of Netflix’s surprise victory in the biggest M&A auction of the year is based on interviews with half a dozen people involved in negotiations. They asked not to be identified because the details are confidential.

The sales process had kicked off with several unsolicited bids from Paramount Skydance, itself a newly formed company after a merger this year orchestrated by Ellison. He’s now the studio’s chief executive officer and controlling shareholder, with backing from his father, Oracle Corp. billionaire Larry Ellison. 

Paramount’s early move gave it a head start in the bidding process weeks before other would-be buyers got access to information. But the post-Thanksgiving deadline for second-round bids became a turning point by giving Netflix time to catch up and assemble the documents it needed, some of the people said. And since the streaming giant was bred in the fast-paced ethos of Silicon Valley, it could move quickly. 

When the binding bids arrived that Monday, Netflix’s offer emerged as superior, the people said.

One issue was the Warner Bros. camp had doubts about how Paramount would pay for the company, which owns sprawling Hollywood studios, the HBO network and a vast film and TV library. Paramount’s offer included financing from Apollo Global Management Inc. and several Middle Eastern funds, and it had conveyed that its bid was fully backstopped by the Ellisons. Still, Warner Bros. executives were privately concerned about the certainty of the financing, people familiar with the matter said.

Representatives for Netflix and Warner Bros. declined to comment.

‘Noble’ vs ‘Prince’

In the weeks leading up to the finale, Warner Bros. advisers set up war rooms at various hotels in midtown Manhattan. A core group holed up at the Loews Regency, which has long been a convening spot for the city’s movers and shakers.

Inside Warner Bros., the situation was known as “Project Sterling.” The company called itself by the code name “Wonder.” The team referred to Netflix as “Noble,” while Paramount was “Prince” and Comcast was “Charm.”

At Netflix, Chief Financial Officer Spencer Neumann served as the point man while corporate development head Devorah Bertucci organized people day-to-day. Chief Legal Officer David Hyman and Spencer Wang, vice president of finance, investor relations and corporate development, also were key architects, with all of them reporting into co-CEOs Ted Sarandos and Greg Peters.

The contours of the deal were shaped in a way befitting of a tech company: mostly over video chat or phone rather than in person. Virtual war rooms were set up. While strategizing or discussing diligence on Zoom, participants would raise virtual hands or make suggestions over chat rather than unmuting and slowing down the meeting. Google Docs were used to review and edit documents together in real time.

Talks heated up this week, with Warner Bros. advisers in continuous dialogue with the bidders and negotiating contract language and value. Comcast said it would merge its NBCUniversal division with Warner Bros. Paramount offered to more than double its proposed breakup fee to $5 billion to sweeten its deal and outshine rivals. 

In the end, Warner Bros. determined Netflix had the best offer and the company was the most flexible on key terms. On Wednesday, Paramount lobbed an aggressively worded letter to Warner Bros. board saying the sales process was “tainted.” It also identified what it saw as regulatory risks in the Netflix proposal, one sign that a winning outcome was slipping away for Paramount. 

Netflix found out Thursday evening New York time that it had won. Executives and advisers were assembled on a video call when they got the official word, sparking a moment of jubilation before everyone snapped into action. By 10:25 p.m., Bloomberg News broke the news that a deal was imminent. 

Even Sarandos made it sound like the ending was a twist on a conference call with investors. “I know some of you are surprised that we’re making this acquisition, and I certainly understand why,” he said. “Over the years, we have been known to be builders, not buyers.”

Regardless of whether Paramount reemerges to try and top the bid, Netflix will have work ahead of it. It has agreed to pay a $5.8 billion breakup fee to Warner Bros. if the transaction fails on regulatory grounds. The company also has to digest its largest acquisition ever.

“It’s going to be a lot of hard work,” co-CEO Peters said on the conference call. “We’re not experts at doing large-scale M&A, but we’ve done a lot of things historically that we didn’t know how to do.”



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‘Its own research shows they encourage addiction’: Highest court in Mass. hears case about Instagram, Facebook effect on kids

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Massachusetts’ highest court heard oral arguments Friday in the state’s lawsuit arguing that Meta designed features on Facebook and Instagram to make them addictive to young users.

The lawsuit, filed in 2024 by Attorney General Andrea Campbell, alleges that Meta did this to make a profit and that its actions affected hundreds of thousands of teenagers in Massachusetts who use the social media platforms.

“We are making claims based only on the tools that Meta has developed because its own research shows they encourage addiction to the platform in a variety of ways,” said State Solicitor David Kravitz, adding that the state’s claim has nothing to do the company’s algorithms or failure to moderate content.

Meta said Friday that it strongly disagrees with the allegations and is “confident the evidence will show our longstanding commitment to supporting young people.” Its attorney, Mark Mosier, argued in court that the lawsuit “would impose liabilities for performing traditional publishing functions” and that its actions are protected by the First Amendment.

“The Commonwealth would have a better chance of getting around the First Amendment if they alleged that the speech was false or fraudulent,” Mosier said. “But when they acknowledge that its truthful that brings it in the heart of the First Amendment.”

Several of the judges, though, seem to more concerned about Meta’s functions such as notifications than the content on its platforms.

“I didn’t understand the claims to be that Meta is relaying false information vis-a-vis the notifications but that it has created an algorithm of incessant notifications … designed so as to feed into the fear of missing out, fomo, that teenagers generally have,” Justice Dalila Wendland said. “That is the basis of the claim.”

Justice Scott Kafker challenged the notion that this was all about a choose to publish certain information by Meta.

“It’s not how to publish but how to attract you to the information,” he said. “It’s about how to attract the eyeballs. It’s indifferent the content, right. It doesn’t care if it’s Thomas Paine’s ‘Common Sense’ or nonsense. It’s totally focused on getting you to look at it.”

Meta is facing federal and state lawsuits claiming it knowingly designed features — such as constant notifications and the ability to scroll endlessly — that addict children.

In 2023, 33 states filed a joint lawsuit against the Menlo Park, California-based tech giant claiming that Meta routinely collects data on children under 13 without their parents’ consent, in violation of federal law. In addition, states including Massachusetts filed their own lawsuits in state courts over addictive features and other harms to children.

Newspaper reports, first by The Wall Street Journal in the fall of 2021, found that the company knew about the harms Instagram can cause teenagers — especially teen girls — when it comes to mental health and body image issues. One internal study cited 13.5% of teen girls saying Instagram makes thoughts of suicide worse and 17% of teen girls saying it makes eating disorders worse.

Critics say Meta hasn’t done enough to address concerns about teen safety and mental health on its platforms. A report from former employee and whistleblower Arturo Bejar and four nonprofit groups this year said Meta has chosen not to take “real steps” to address safety concerns, “opting instead for splashy headlines about new tools for parents and Instagram Teen Accounts for underage users.”

Meta said the report misrepresented its efforts on teen safety.

___

Associated Press reporter Barbara Ortutay in Oakland, California, contributed to this report.



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