5 Cars That Prove 2017 Was The Best Year For Ford






The American automotive industry has changed immensely over the last decade. Not only have we seen a shift away from sedans and small cars toward trucks and SUVs, but American automakers also embarked on an ambitious (and increasingly fruitless) move toward electric vehicles, which peaked in the early 2020s.

Ford has been part of that shift; it phased out some of its most established and once-beloved global car nameplates, filling that space in its lineup with additional truck and SUV models. The company did this while embarking on a seemingly unsuccessful pivot towards EVs, one that it will spend $19.5 billion to restructure.

Ford’s current lineup includes some impressive truck and SUV models like the Bronco, F-150 Raptor, and the new Maverick, but for driving enthusiasts and performance car fans, looking back at mid-2010s Ford and the excitement around it feels like a glimpse into another era. From inexpensive hot hatchbacks to race-winning supercars, we think 2017 was Ford at its modern peak. Below are five memorable Ford models that show just how great this year was — and also how much the company has changed since then.

Mustang Shelby GT350

In 2017, the fully redesigned S550-generation Ford Mustang had been on sale for two model years with a variety of powerplant options, and the GT350 represented the top end of the lineup. Taking its name from the legendary Shelby GT350 Mustangs of the 1960s, the GT350 and GT350R took the Mustang’s platform and elevated both its performance and its mechanical excitement to new levels.

Ford had already been building high-horsepower, supercharged Shelby Mustang variants for a while, but the GT350, which debuted for the 2016 model year, went in a totally different direction. It had no supercharger, and its 5.2-liter V8 was quite small compared to the competition — but that’s exactly what made the GT350 so special. 

The GT350’s naturally aspirated Voodoo V8 was unlike anything that came before it. It made 526 hp and used a flat-plane crankshaft, giving it a redline of over 8,000 rpm. It sounded as much like a Ferrari as it did your typical V8 Mustang, and, unlike newer performance variants of the Mustang, was only available with a six-speed manual. Subsequent Mustang models, including the supercharged Shelby GT500, would eclipse the GT350’s performance, but that hasn’t made the earlier, naturally aspirated models any less impressive. Today, when we look back on Ford of the mid-2010s, the Voodoo-powered GT350 stands out.

Ford Fiesta ST

One of the great things about Ford in the 2010s was that it didn’t limit its performance vehicles to its higher-priced models. Look no further than the Ford Fiesta ST, which was sold in the United States between the 2014 and 2019 model years. The Fiesta ST wasn’t the fastest ST model that Ford ever sold, but whatever it lacked in horsepower or raw lap times, it more than made up for with its fun factor. 

Its small size, punchy turbocharged engine, and manual gearbox earned the Fiesta ST praise from motoring journalists and drivers alike — both in the U.S. and globally. For the 2017 model year, the Fiesta ST had an affordable base price of just over $22,000, which, adjusted for inflation, is still less than $30,000. Unfortunately for hot hatchback fans, Ford dropped the Fiesta lineup, including the ST, when it cut its small car offerings in the late 2010s. 

Today, with all cars — and especially enthusiast cars — getting more and more expensive, the cheap Fiesta ST is a hero from a bygone era. Despite being one of the cheapest performance cars of its time, the Fiesta ST is among the mid-2010s Ford models most likely to become a classic. In fact, it may already be one.

Ford Focus RS

There have been many amazing hot hatchbacks over the years, but the North American market was often deprived of some of the greatest — except for one. In 2017, North American Ford dealers had not one, not two, but three different hot hatches for buyers to choose from. At the entry level was the subcompact Fiesta ST, followed by the larger and more powerful Focus ST — both front-wheel drive models. Then there was the ultra-hot Ford Focus RS, which arrived in America for the 2016 model year.

The Focus RS used a 2.3-liter turbocharged EcoBoost engine rated at 350 hp and 350 lb-ft of torque and, unlike its hot hatch siblings, sent its power to all four wheels. The Focus RS’ all-wheel-drive system was of the torque-vectoring variety, and the car even included a drift mode for tire-smoking oversteer shenanigans. The Focus RS was a fast, manic, rally-bred monster machine that was still practical enough to be a daily driver. As with the rest of Ford’s late-2010s hot hatchbacks, the Ken Block factor also helped turn the Focus RS into a generational icon.

While it’s not completely impossible that Ford would ever build a car like this again, we certainly can’t see the company building another gasoline-powered hot hatchback anytime soon. As of 2026, the closest thing you can get to a Focus RS in the Ford lineup would be the all-electric Mustang Mach-E Rally. 

Ford Fusion Sport

Aside from Ford’s 2017 lineup of brilliant muscle cars and turbocharged hot hatchbacks, the company also sold one of the greatest sleeper sedans of the modern era. That car was the Ford Fusion Sport, which was introduced for the 2017 model year. 

While many modern cars use the “Sport” branding lightly, the Fusion Sport introduced substantial mechanical upgrades to Ford’s popular midsize sedan. The highlights were a 325-hp twin-turbocharged 2.7-liter V6 engine, with an all-wheel-drive system to put that power down. To most eyes, it looked like any other Fusion model, but the Fusion Sport hit 60 mph in just over five seconds and ran the quarter-mile in the high 13s in Car and Driver’s hands. The Fusion Sport wasn’t just about straight-line speed, though; Ford also added adaptive dampers to improve its cornering.

While it may not have been as hard-edged or track-focused as Ford’s other performance offerings of the era, the Fusion Sport’s underappreciated status as a sleeper performance sedan is just another example of how deep Ford’s car lineup was at this time. Ford discontinued the Fusion Sport after the 2019 model year, with the rest of the Ford Fusion lineup being discontinued shortly after. 

Ford GT

Having a stout lineup of affordable and exciting performance cars earned Ford a lot of praise in the mid-2010s, but the car that sat atop the brand’s lineup, the Ford GT, will not be forgotten anytime soon. Though it left behind the supercharged V8 of its mid-2000s predecessor in favor of a twin-turbocharged V6, the 2010s Ford GT was, and still is, one of the fastest and most exotic production vehicles that Ford has ever built.

The 2010s Ford GT wasn’t just a car for wealthy collectors or track-day enthusiasts, either. It had genuine motorsport chops, and the race version of the GT made history by winning the 24 Hours of Le Mans in 2016. Not surprisingly, despite being less than 10 years old, Ford GTs from this era already sell for significantly more than they cost when new, and we don’t see those prices going down anytime soon.

Ford does, in a sense, have a modern equivalent to the GT in the form of the Mustang GTD, Ford’s 2020s supercar. Despite the GTD’s exotic performance hardware, though, it still uses both the name and general bones of the higher-volume Mustang. Meanwhile, the Ford GT, which ended production in 2022, was a bespoke halo car with racing pedigree to match.

Our methodology

With a company that’s been around as long as Ford, we could have chosen any number of years to discuss here. While Ford may have had better-selling or more influential vehicles in other years, we chose 2017 for its strong and diverse lineup of enthusiast offerings that showcased the company’s engineering prowess in a wide variety of ways. Additionally, unlike many of Ford’s earlier years, the excitement of the company’s mid-2010s lineup is recent enough to be vividly remembered by today’s enthusiasts, instead of just being something to be read about in history books and retrospectives.





Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


gettyimages-647882122

S847/iStock / Getty Images Plus

Follow ZDNET: Add us as a preferred source on Google.


ZDNET’s key takeaways

  • Staff who use AI can end up with more to do, not less.
  • Think carefully about the tools you’re using and why.
  • Adopt a set of standards and refine your outputs.

The promise of productivity boosts from AI can come with an unwelcome side order of stress. Harvard Business Review found that AI doesn’t reduce work; it intensifies it, leading to cognitive fatigue and unsustainable hours.

While the common perception is that AI can help reduce workloads, allowing employees to focus more on higher-value and more engaging tasks, HBR’s research found that staff using AI worked more quickly and often ended up with more to do, not less.

Also: Forget productivity: Here are 5 strategic shifts that drive real AI value

While we’ve written about how some professionals are finding ways to turn AI’s time-saving magic into a productivity superpower, we’ve also recognized that some employees have started to become tired with the low quality of AI outputs.

Ankur Anand, group CIO at tech recruiter Harvey Nash, said professionals who want to avoid cognitive fatigue must understand how to use AI effectively and its potential risks.

“That focus will help to reduce the noise around the workload that AI creates,” he told ZDNET, suggesting that many people have unrealistic expectations about the productivity boost that AI will provide.

Also: Why I ditched Copilot for Claude in Word, Excel, and PowerPoint – and how you can, too

“Many organizations are telling their people, ‘We want to understand how you’re making an impact with AI,'” he said. “But these professionals are not empowered, which means that using AI adds a lot of pressure, because they need to prove themselves on their own terms.”

If you’re going to make the most of AI at work, then you’re going to have to find an effective balance between completing tasks quickly and producing high-quality work. 

Here’s how the experts believe professionals can ensure they reap the benefits, not the problems, of AI — and they suggest that you’ll need to focus on three core areas: tools, guidelines, and outputs.

Limit your toolset

Alex Read, senior enterprise product manager for data at energy provider EDF UK, told ZDNET that the best way for professionals to reap the benefits, not the challenges, of AI is to be uber-focused on tools that help you produce value in your roles.

While there are thousands of potential AI-enabled services on the market, Read said sensible professionals limit their horizons.

Also: How this travel company’s AI rollout drove a 73% satisfaction boost: A 5-step playbook for your business

In his own role, for example, Read focuses on how AI can help him build a data platform and update information accurately, efficiently, and productively: “Anything outside of that scope is noise for me.”

That sentiment resonated with Nick Pearson, CIO at technology specialist Ricoh Europe, who told ZDNET it’s important to take a step back and think carefully about how an AI tool can help you produce value in your role.

“If you think about the phrase ‘gen AI,’ the tech is very good, by definition, at generating outputs,” he said. “I could go to bed in the evening, set the model to work, and we could have four new IT strategies produced overnight.”

Also: Worried AI agents will replace you? 5 ways you can turn anxiety into action at work

However, quantity doesn’t necessarily mean quality. Pearson suggested it’s important to focus on AI’s blind spots, particularly as most models are trained on preexisting content.

“AI can’t inspire people, per se; it can’t naturally create something new, because it’s actually quite recursive,” he said.

“And the judgment you have to put in sometimes, on top of everything else, whether it be an ethical or a capability judgment, is not there automatically in the technology.”

It’s in this gap, said Pearson, that human experts play a critical role: “We’re toying with that concern as an organization and saying, ‘Where does AI really play an important role, versus where are we upskilling people in areas that AI probably won’t play for a long time?'”

Work to the guidelines

HBR’s research found that an initial productivity surge when AI is adopted can lead to lower-quality work, turnover, and other problems as people work harder rather than smarter.

To correct this issue, HBR said companies need to adopt an “AI practice,” or a set of norms and standards around AI use that help professionals ensure they use AI in a constrained but productive manner.

Also: 90% of AI projects fail – here are 3 ways to ensure yours doesn’t

At EDF UK, Read is part of an internal AI Center of Excellence in enterprise IT, which enables policy for the effective use of AI across the wider organization. 

In addition to Read, who contributes input from a data-use perspective, the group includes other tech representatives, such as the firm’s senior manager of AI, principal software engineer, and principal solution architect.

“The remit of this center is to make sure that, when the federated business units are looking to build, develop, and deploy AI services, they have platforms, guidance, best practices, architectural assets, and materials to guide them on how to safely and efficiently adopt AI and operationalize it at scale,” he said.

Some of the key themes the center considers when assessing AI tools are scalability and reusability, ensuring a proposed service doesn’t replicate one already in use.

Also: 5 ways to use AI when your budget is tight

“All new tools and services related to AI will go through that hopper and funnel to understand scope and ensure the security, regulatory, and ethical side of things are understood,” he said, suggesting that all professionals should use their organization’s pre-existing guidelines to foster an appropriate exploitation of emerging tech.

“The benefit that guided approach brings is that it allows us to be clear in our messaging around what AI services can be used, how they’re used from a use-case perspective, and ultimately, what personas are allowed to use them.”

Refine your outputs

Even when tools are assessed and considered acceptable, there can still be an overreliance on AI outputs. Worse, some professionals can drown in the insights they receive, leading to higher stress and fewer benefits.

Louise Newbury-Smith, head of UK&I at technology specialist Zoom, told ZDNET that one way to ensure your outputs are constrained is to focus on prompting.

“Use simple amendments to be specific, such as ‘Give me the top three things with the biggest impact.’ That approach should guide your prompt, rather than saying, ‘Give me everything you know about this topic.'”

Also: 5 ways to fortify your network against the new speed of AI attacks

Newbury-Smith said the successful use of AI is all about being smart about how it’s exploited, and that effectiveness comes down to enablement and engagement. If a prompt yields too much information, refine it until you get what you need. She said this should still be faster than trying to get answers without AI.

The basic message for professionals is that effective applications of AI are all about you staying in the loop, said Bernhard Seiser, vice president of digital, data, and IT at AOP Health.

Think before you use AI, and think again before you push your outputs around the organization.

“It doesn’t help the business if you get AI-generated emails that are many pages long, and then you need ChatGPT to summarize the text,” he told ZDNET.

Seiser said that while there are certain tasks generative AI is good at and worth using for, in the end, “you need to use your brain.”





Source link